398 results on '"Biomathematics and Statistics Scotland"'
Search Results
2. Exact Bayesian inference of epidemiological parameters from mortality data: application to African swine fever virus
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David A. Ewing, Christopher M. Pooley, Kokouvi M. Gamado, Thibaud Porphyre, Glenn Marion, Biomathematics and Statistics Scotland (BioSS), Macaulay Institute, Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS), The Roslin Institute, Royal (Dick) School of Veterinary Studies, and University of Edinburgh
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Swine Diseases ,Swine ,Biomedical Engineering ,Biophysics ,Bioengineering ,Bayes Theorem ,Biochemistry ,African Swine Fever Virus ,Disease Outbreaks ,Biomaterials ,[STAT]Statistics [stat] ,Animals ,[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie ,Life Sciences–Mathematics interface ,African Swine Fever ,Biotechnology - Abstract
International audience; Pathogens such as African swine fever virus (ASFV) are an increasing threat to global livestock production with implications for economic well-being and food security. Quantification of epidemiological parameters, such as transmission rates and latent and infectious periods, is critical to inform efficient disease control. Parameter estimation for livestock disease systems is often reliant upon transmission experiments, which provide valuable insights in the epidemiology of disease but which may also be unrepresentative of at-risk populations and incur economic and animal welfare costs. Routinely collected mortality data are a potential source of readily available and representative information regarding disease transmission early in outbreaks. We develop methodology to conduct exact Bayesian parameter inference from mortality data using reversible jump Markov chain Monte Carlo incorporating multiple routes of transmission (e.g. within-farm secondary and background transmission from external sources). We use this methodology to infer epidemiological parameters for ASFV using data from outbreaks on nine farms in the Russian Federation. This approach improves inference on transmission rates in comparison with previous methods based on approximate Bayesian computation, allows better estimation of time of introduction and could readily be applied to other outbreaks or pathogens.
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- 2022
3. Bayesian comparison of models for precision feeding and management in growing-finishing pigs
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Ilias Kyriazakis, Ludovic Brossard, Maciej M Misiura, João A.N. Filipe, Newcastle University [Newcastle], Biomathematics and Statistics Scotland, Physiologie, Environnement et Génétique pour l'Animal et les Systèmes d'Elevage [Rennes] (PEGASE), AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Institute for Global Food Security [Belfast], Queen's University [Belfast] (QUB), European Project: 633531,H2020,H2020-SFS-2014-2,Feed-a-Gene(2015), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-INSTITUT AGRO Agrocampus Ouest, and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)
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Computer science ,Swine ,Bayesian probability ,Soil Science ,03 medical and health sciences ,Benchmark (surveying) ,Linear regression ,Econometrics ,030304 developmental biology ,0303 health sciences ,Mathematical model ,Exponential smoothing ,0402 animal and dairy science ,Probabilistic logic ,Linear model ,Double exponential smoothing ,04 agricultural and veterinary sciences ,040201 dairy & animal science ,[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation ,Term (time) ,Control and Systems Engineering ,[SDV.SA.SPA]Life Sciences [q-bio]/Agricultural sciences/Animal production studies ,Precision feeding ,Agronomy and Crop Science ,Bayesian modelling ,Food Science ,Forecasting - Abstract
International audience; Precision feeding and management of growing-finishing pigs typically require mathematical models to forecast individual pig performance from past data. The current approaches, namely double exponential smoothing (DES) and dynamic linear regression are likely to have some limitations in their applicability since they: (1) assume that responses can be forecasted linearly, which only holds in the short-term, and (2) often take insufficient account of uncertainty and correlations in the estimated traits. We developed and evaluated alternative approaches to forecasting individual growth or intake responses based on nonlinear models (allometric, monomolecular, rational) and Bayesian methodology to fit models to the data and generate probabilistic forecasts. We applied these approaches to individual data from two distinct pig populations, to parameterise the models (fitting based on a training dataset) and forecast performance (forecast horizons: 1–30 d tested on a validation dataset). We found that good fitting did not guarantee accurate forecasting, which is quantitatively relevant in the medium-to-long term. Forecasts from nonlinear models were more accurate compared to those from benchmark linear models, with the allometric model being more accurate for most pigs across considered forecast horizons. While DES was the best model at fitting, it was also the least accurate at forecasting for all forecast horizons. These results enhance the understanding of how underlying biological growth responses could be approximated using straightforward mathematical relationships. The approach could be utilised to formulate optimised feeding strategies and inform management decisions, including pen allocation or end-weight prediction.
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- 2021
4. Combining a process-based model of rumen fermentation with methane production data from respiration chambers
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Kettle, Helen, Munoz Tamayo, Rafael, Dewhurst, R.J., Biomathematics and Statistics Scotland, Modélisation Systémique Appliquée aux Ruminants (MoSAR), AgroParisTech-Institut National de la Recherche Agronomique (INRA), Scotland's Rural College (SRUC), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, and Scotland's Rural College (SCUR)
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modelling ,rumen ,animal structures ,production de méthane ,marsh gas ,[SDV]Life Sciences [q-bio] ,food and beverages ,fermentation du rumen ,microorganisme du rumen ,méthane ,modélisation - Abstract
By incorporating the dynamical aspects of the respiration chamber data, the model allows further information on an individual animal’s rumen microbiome to be extracted. This represents a potential stepping stone to relating rumen microbial genes to parameters controlling the dynamics of rumen fermentation and hence methane production.
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- 2019
5. How complex does a mathematical model need to be to describe the dynamics of methane production in cattle?
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Munoz Tamayo, Rafael, Kettle, Helen, Ruiz, Baptiste, Williams, Richard, Moate, Peter J., Giger-Reverdin, Sylvie, Sauvant, Daniel, Modélisation Systémique Appliquée aux Ruminants (MoSAR), AgroParisTech-Institut National de la Recherche Agronomique (INRA), Biomathematics and Statistics Scotland, Agriculture Victoria Research, and Institut National de la Recherche Agronomique (INRA)-AgroParisTech
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[SDV]Life Sciences [q-bio] ,[INFO]Computer Science [cs] - Published
- 2019
6. Porcine small and large intestinal microbiota rapidly hydrolyze the masked mycotoxin deoxynivalenol-3-glucoside and release deoxynivalenol in spiked batch cultures in vitro
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Anthony J. Richardson, Isabelle P. Oswald, Valerie Currie, Freda M. Farquharson, Silvia W. Gratz, Grietje Holtrop, Philippe Pinton, Petra Louis, Gary Duncan, University of Aberdeen, Biomathematics and Statistics Scotland, Biosynthèse & Toxicité des Mycotoxines (ToxAlim-BioToMyc), ToxAlim (ToxAlim), Institut National de la Recherche Agronomique (INRA)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Ecole d'Ingénieurs de Purpan (INPT - EI Purpan), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Recherche Agronomique (INRA)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, and This study was supported by the Scottish Government Rural and Environment Science and Analytical Services Division (RESAS) and by the French Agence Nationale de la Recherche (project ANR-13-CESA-0003-03)
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0301 basic medicine ,pig ,Swine ,[SDV]Life Sciences [q-bio] ,030106 microbiology ,Trichothecene ,trichothecene ,Food Contamination ,Ileum ,Biology ,Polymerase Chain Reaction ,Applied Microbiology and Biotechnology ,digestive system ,release ,Microbiology ,Jejunum ,Feces ,03 medical and health sciences ,chemistry.chemical_compound ,Cecum ,Glucosides ,deoxynivalenol-3-glucoside ,medicine ,microbiota ,Animals ,Humans ,Large intestine ,Anaerobiosis ,Mycotoxin ,Ecology ,Hydrolysis ,food and beverages ,toxicity ,Mycotoxins ,Small intestine ,Gastrointestinal Microbiome ,Intestines ,masked mycotoxin ,030104 developmental biology ,medicine.anatomical_structure ,chemistry ,Batch Cell Culture Techniques ,Food Microbiology ,Edible Grain ,Trichothecenes ,Food Science ,Biotechnology - Abstract
Mycotoxin contamination of cereal grains causes well-recognized toxicities in animals and humans, but the fate of plant-bound masked mycotoxins in the gut is less well understood. Masked mycotoxins have been found to be stable under conditions prevailing in the small intestine but are rapidly hydrolyzed by fecal microbiota. This study aims to assess the hydrolysis of the masked mycotoxin deoxynivalenol-3-glucoside (DON3Glc) by the microbiota of different regions of the porcine intestinal tract. Intestinal digesta samples were collected from the jejunum, ileum, cecum, colon, and feces of 5 pigs and immediately frozen under anaerobic conditions. Sample slurries were prepared in M2 culture medium, spiked with DON3Glc or free deoxynivalenol (DON; 2 nmol/ml), and incubated anaerobically for up to 72 h. Mycotoxin concentrations were determined using liquid chromatography-tandem mass spectrometry, and the microbiota composition was determined using a quantitative PCR methodology. The jejunal microbiota hydrolyzed DON3Glc very slowly, while samples from the ileum, cecum, colon, and feces rapidly and efficiently hydrolyzed DON3Glc. No further metabolism of DON was observed in any sample. The microbial load and microbiota composition in the ileum were significantly different from those in the distal intestinal regions, whereas those in the cecum, colon and feces did not differ. IMPORTANCE Results from this study clearly demonstrate that the masked mycotoxin DON3Glc is hydrolyzed efficiently in the distal small intestine and large intestine of pigs. Once DON is released, toxicity and absorption in the distal intestinal tract likely occur in vivo . This study further supports the need to include masked metabolites in mycotoxin risk assessments and regulatory actions for feed and food.
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- 2018
7. Intégration de données relationnelles et de données liées dans le système de stockage NoSQL orientés-graphes Neo4J
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LIU, Jiayi, Grélaud, Françoise, Biomathematics and Statistics Scotland, Systèmes d’Informations Généralisées (IRIT-SIG), Institut de recherche en informatique de Toulouse (IRIT), Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse - Jean Jaurès (UT2J)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université Fédérale Toulouse Midi-Pyrénées-Université Toulouse 1 Capitole (UT1), Université Fédérale Toulouse Midi-Pyrénées, and Université des Sciences Sociales
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[INFO]Computer Science [cs] ,[INFO] Computer Science [cs] - Published
- 2017
8. Évaluation multicritère de l’efficience productive et environnementale des exploitations laitières par analyse de frontières d’efficience : de meilleurs résultats par la recherche d’autonomie que par l’intensification
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SOTERIADES, Andreas Diomedes, Stott, A.W., Moreau, S., Charroin, Thierry, Blanchard, Marion, Liu, J., Faverdin, Philippe, Scotland's Rural College (SRUC), Institut de l'élevage (IDELE), Systèmes d'élevage méditerranéens et tropicaux (UMR SELMET), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Biomathematics and Statistics Scotland, Physiologie, Environnement et Génétique pour l'Animal et les Systèmes d'Elevage [Rennes] (PEGASE), Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST, Scotland's Rural College (SCUR), Institut de l'Elevage, AGROCAMPUS OUEST-Institut National de la Recherche Agronomique (INRA), AGROCAMPUS OUEST, and Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut National de la Recherche Agronomique (INRA)
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[SDV]Life Sciences [q-bio] - Abstract
Évaluation multicritère de l’efficience productive et environnementale des exploitations laitières par analyse de frontières d’efficience : de meilleurs résultats par la recherche d’autonomie que par l’intensification. 23. Rencontres autour des Recherches sur les Ruminants
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- 2016
9. Economics of Blockchain
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Jason Potts, Sinclair Davidson, Primavera De Filippi, Centre d'Etudes et de Recherches de Sciences Administratives et Politiques (CERSA), Université Panthéon-Assas (UP2)-Centre National de la Recherche Scientifique (CNRS), Biomathematics and Statistics Scotland (BioSS), and Macaulay Institute
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blockchain ,Blockchain ,Corporate governance ,05 social sciences ,02 engineering and technology ,Public choice ,cryptoeconomics ,[SHS.DROIT]Humanities and Social Sciences/Law ,Catallaxy ,Information and Communications Technology ,0502 economics and business ,catallaxy ,0202 electrical engineering, electronic engineering, information engineering ,Economics ,public choice institutional eocnomics ,020201 artificial intelligence & image processing ,Economic organization ,New institutional economics ,Economic system ,Protocol (object-oriented programming) ,050203 business & management - Abstract
International audience; Claims blockchain is more than just ICT innovation, but facilitates new types of economic organization and governance. Suggests two approaches to economics of blockchain: innovation-centred and governance-centred. Argues that the governance approach — based in new institutional economics and public choice economics — is most promising, because it models blockchain as a new technology for creating spontaneous organizations, i.e. new types of economies. Illustrates this with a case study of the Ethereum-based infrastructure protocol and platform Backfeed.
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- 2016
10. Challenges in microbial ecology: Building predictive understanding of community function and dynamics
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Widder, S, Allen, RJ, Pfeiffer, T, Curtis, TP, Wiuf, C, Sloan, WT, Cordero, OX, Brown, SP, Momeni, B, Shou, W, Kettle, H, Flint, HJ, Hass, AF, Laroche, B, Kreft, JU, Rainey, PB, Freilich, S, Shuster, S, Milferstedt, K, Van der Meer, JR, Grosskopf, T, Huisman, J, Free, A, Picioreanu, C, Quince, C, Klapper, I, Labarthe, S, Smets, B, Wang, H, Allison, SD, Chong, J, Lagomarsion, MC, Croze, OA, Hamelin, J, Harmand, J, Hoyle, R, Hwa, TT, Jin, Q, Johson, DR, Lorenzo, VD, Mobilia, M, Murphy, B, Peaudecerf, F, Prosser, JI, Quinn, RA, Ralser, M, Smith, AG, Steyer, JP, Swainston, N, Tarnita, CE, Trably, E, Warren, PB, Wilmes, P, Soyer, O, CUBE, Department of Microbiology and Ecosystem Science, Medizinische Universität Wien = Medical University of Vienna, SUPA, School of Physics and Astronomy, University of Edinburgh, New Zealand Institute for Advanced Study, School of Civil Engineering and Geosciences, University of Newcastle upon Tyne, Department of Mathematical Sciences [Copenhagen], Faculty of Science [Copenhagen], University of Copenhagen = Københavns Universitet (KU)-University of Copenhagen = Københavns Universitet (KU), Infrastructure and Environment Research Division, School of Engineering, University of Glasgow, Department of Civil and Environmental Engineering [Cambridge, USA] (CEE), Massachusetts Institute of Technology (MIT), Centre for Immunity, Infection and Evolution, School of Biological Sciences, Department of Biology, Boston College (BC), Fred Hutchinson Cancer Research Center [Seattle] (FHCRC), Division of Basic Sciences, Biomathematics and Statistics Scotland, Rowett Institute of Nutrition and Health, University of Aberdeen, Biology Department [San Diego], San Diego State University (SDSU), Mathématiques et Informatique Appliquées du Génome à l'Environnement [Jouy-En-Josas] (MaIAGE), Institut National de la Recherche Agronomique (INRA), School of Biosciences, University of Birmingham, Newe Ya’ar Research Center, Agricultural Research Organization, Department of Bioinformatics, Friedrich-Schiller-Universität Jena, Laboratoire de Biotechnologie de l'Environnement [Narbonne] (LBE), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA), Department of Fundamental Microbiology [Lausanne], Université de Lausanne (UNIL), School of Life Sciences, University of Warwick, Department of Aquatic Microbiology, University of Amsterdam, Institute of Quantitative Biology, Biochemistry and Biotechnology, School of Biological Science, Department of Biotechnology, Delft University of Technology (TU Delft), Warwick Medical School, University of Warwick [Coventry], Department of Mathematics, Temple University [Philadelphia], Pennsylvania Commonwealth System of Higher Education (PCSHE)-Pennsylvania Commonwealth System of Higher Education (PCSHE), Department of Environmental Engineering, Technical University of Denmark [Lyngby] (DTU), Department of Systems Biology, Columbia University [New York], Genomic Physics [LCQB] (LCQB-Gphi), Biologie Computationnelle et Quantitative = Laboratory of Computational and Quantitative Biology (LCQB), Institut de Biologie Paris Seine (IBPS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Institut de Biologie Paris Seine (IBPS), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Isaac Newton Institute of Mathematical Sciences, University of Copenhagen = Københavns Universitet (UCPH)-University of Copenhagen = Københavns Universitet (UCPH), Department of Civil and Environmental Engineering [Cambridge] (CEE), Friedrich-Schiller-Universität = Friedrich Schiller University Jena [Jena, Germany], Institut National de la Recherche Agronomique (INRA)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Université de Lausanne = University of Lausanne (UNIL), University of Amsterdam [Amsterdam] (UvA), Danmarks Tekniske Universitet = Technical University of Denmark (DTU), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Biologie Paris Seine (IBPS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut de Biologie Paris Seine (IBPS), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS), Widder, Stefanie [0000-0003-0733-5666], Brown, Sam P [0000-0003-1892-9275], Momeni, Babak [0000-0003-1271-5196], Kreft, Jan-Ulrich [0000-0002-2351-224X], Smets, Barth F [0000-0003-4119-6292], Soyer, Orkun S [0000-0002-9504-3796], Apollo - University of Cambridge Repository, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Aquatic Microbiology (IBED, FNWI), Massachusetts Institute of Technology. Department of Civil and Environmental Engineering, and Cordero Sanchez, Otto X.
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0301 basic medicine ,microbial ,Mini Review ,Ecology (disciplines) ,media_common.quotation_subject ,Air Microbiology ,Biology ,Microbiology ,03 medical and health sciences ,Microbial ecology ,challenge in microbial ,predictive ,ecology ,challenge ,Animals ,Humans ,Seawater ,SDG 14 - Life Below Water ,QA ,Function (engineering) ,Ecosystem ,Soil Microbiology ,Ecology, Evolution, Behavior and Systematics ,media_common ,Structure (mathematical logic) ,Ecology ,Microbiology and Parasitology ,Models, Theoretical ,15. Life on land ,Modélisation et simulation ,Data science ,Method development ,[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation ,Microbiologie et Parasitologie ,QR ,030104 developmental biology ,[SDV.MP]Life Sciences [q-bio]/Microbiology and Parasitology ,13. Climate action ,Modeling and Simulation ,Key (cryptography) ,Research questions ,Model building - Abstract
The importance of microbial communities (MCs) cannot be overstated. MCs underpin the biogeochemical cycles of the earth’s soil, oceans and the atmosphere, and perform ecosystem functions that impact plants, animals and humans. Yet our ability to predict and manage the function of these highly complex, dynamically changing communities is limited. Building predictive models that link MC composition to function is a key emerging challenge in microbial ecology. Here, we argue that addressing this challenge requires close coordination of experimental data collection and method development with mathematical model building. We discuss specific examples where model–experiment integration has already resulted in important insights into MC function and structure. We also highlight key research questions that still demand better integration of experiments and models. We argue that such integration is needed to achieve significant progress in our understanding of MC dynamics and function, and we make specific practical suggestions as to how this could be achieved., United States. Army Research Office (W911NF-14-1-0445)
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- 2016
11. How does commercialisation impact on the provision of farm advisory services?
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Prager, Katrin, Labarthe, Pierre, CAGGIANO, Monica, Lorenzo-Arribas, Altea, Sociale, Economic and Geographical Sciences, The James Hutton Institute, Sciences pour l'Action et le Développement : Activités, Produits, Territoires (SADAPT), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Biomathematics and Statistics Scotland, and PRO AKIS, a European Commission 7th Framework Programme project, Grant agreement no: 311994
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privatisation ,[SDV]Life Sciences [q-bio] ,commercialisation ,extension ,europe ,agricultural advisory service - Abstract
Farm advisory services have returned to both the academic and the political agenda. Commercialisation—charging a fee for an advisory service—is a trend observed not only in private advisory organisations, but to some extent also in public and other types of organisations. This paper explores how commercialisation of farm advice impacts on the quality of services. Based on key informant interviews and a unique data set from a survey of 227 advisory organisations across four European countries, both the front-office and the back-office dimension were investigated. The paper compares private organisations that draw income from charging for their services with non-private organisations (public, non-governmental and farmer-based organisations). We found that the private organisations are typically small and medium size enterprises that employ fewer advisors than non-private organisations. Their services are more personalised, that is, they have a higher proportion of 1:1 advice and they have a lower ratio of farms per advisor. With regard to the back office dimension, they differ little from non-private organisations in terms of training their advisors but have considerably lower levels of investment in research and development, and tend to rely on peer-to-peer networks and cooperation with other private consultancies and public authorities. We conclude that commercialised advice has several advantages but favours affluent clients. It is essential for commercial advisory services to be complemented with other services that reach different types of farmers, and that public support is available to improve the knowledge flows between public research and private organisations.
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- 2016
12. Estimating the annual number of breeding attempts from breeding dates using mixture models
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Jane M. Reid, Thomas Cornulier, William J. Sutherland, Tim G. Benton, David A. Elston, David J. T. Douglas, Peter Arcese, Robert A. Robinson, Xavier Lambin, Centre d'études biologiques de Chizé (CEBC), Centre National de la Recherche Scientifique (CNRS), UKPopNet, University of Aberdeen, Biomathematics and Statistics Scotland, Macaulay Institute, Centre for Applied Conservation Research, University of British Columbia (UBC), Institute of Integrative & Comparative Biology, University of Leeds, RSPB Scotland, School of Biological Sciences (APERU), British Trust for Ornithology (BTO), Conservation Science Group, and University of Cambridge [UK] (CAM)
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Male ,0106 biological sciences ,Time Factors ,[SDE.MCG]Environmental Sciences/Global Changes ,Bayesian inference ,Bayesian probability ,demographic parameters ,Models, Biological ,010603 evolutionary biology ,01 natural sciences ,010605 ornithology ,Sexual Behavior, Animal ,population dynamics ,Animals ,Population growth ,Passeriformes ,Ecology, Evolution, Behavior and Systematics ,biology ,Reproductive success ,Ecology ,Bayes Theorem ,reproductive success ,Census ,biology.organism_classification ,Mixture model ,[SDE.ES]Environmental Sciences/Environmental and Society ,Emberiza citrinella ,Geography ,life-history variation ,conservation ecology ,Female ,[SDE.BE]Environmental Sciences/Biodiversity and Ecology ,Melospiza ,Sparrows - Abstract
International audience; Abstract Well-established statistical methods exist to estimate variation in a number of key demographic rates from field data, including life-history transition probabilities and reproductive success per attempt. However, our understanding of the processes underlying population change remains incomplete without knowing the number of reproductive attempts individuals make annually; this is a key demographic rate for which we have no satisfactory method of estimating. Using census data to estimate this parameter from requires disaggregating the overlying temporal distributions of first and subsequent breeding attempts. We describe a Bayesian mixture method to estimate the annual number of reproductive attempts from field data to provide a new tool for demographic inference. We validate our method using comprehensive data on individually-marked song sparrows Melospiza melodia, and then apply it to more typical nest record data collected over 45 years on yellowhammers Emberiza citrinella. We illustrate the utility of our method by testing, and rejecting, the hypothesis that declines in UK yellowhammer populations have occurred concurrently with declines in annual breeding frequency.
- Published
- 2009
13. Soil microbial and faunal responses to herbicide tolerant maize and herbicide in two soils
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Sandra Caul, Paul Henning Krogh, Céline Pernin, Jacqueline Thompson, Bryan S. Griffiths, Jérôme Cortet, Christine A. Hackett, Scottish Crop Research Institute, Biomathematics and Statistics Scotland, Laboratoire Sols et Environnement (LSE), Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL), Université Saint Jérôme, Centre National de la Recherche Scientifique (CNRS), National Environmental Research Institute, Department of terrestrial Ecology, and National Environmental Research Institute [Danmark] (NERI)
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DECOMPOSITION ,Soil test ,GENETICALLY MODIFIED PLANTS ,Soil biology ,Soil Science ,Plant Science ,Genetically modified crops ,Biology ,03 medical and health sciences ,Decomposition . Genetically modified plants . Herbicide . Herbicide tolerant maize . Microbial community structure . Soil fauna ,SOIL FAUNA ,[SDV.BV]Life Sciences [q-bio]/Vegetal Biology ,Poaceae ,Cultivar ,HERBICIDE ,030304 developmental biology ,2. Zero hunger ,0303 health sciences ,HERBICIDE TOLERANT MAIZE ,04 agricultural and veterinary sciences ,15. Life on land ,Soil type ,Agronomy ,Loam ,Soil water ,040103 agronomy & agriculture ,0401 agriculture, forestry, and fisheries ,MICROBIAL COMMUNITY STRUCTURE - Abstract
A glasshouse experiment was set up to compare processes and organisms in two soils planted with genetically modified (GM) herbicide tolerant (HT) maize treated with appropriate herbicides. This was part of a wider project (ECOGEN) looking at the consequences of GM cropping systems on soil biology using a tiered approach at laboratory, glasshouse and field scales. Soil for the experiment was taken from field sites where the same maize cultivars were grown to allow comparison between results under glasshouse and field conditions. The maize cultivars T25 (GM HT glufosinate-ammonium tolerant), Orient (non HT near isogenic control for T25) and Monumental (a conventional, non HT variety) were grown in contrasting sandy loam and clay loam soils, half were sprayed with the appropriate herbicide as used in the field and soil samples were taken at the five-leaf and flowering plant growth stage. The main effects on all measured parameters were those of soil type and plant growth stage, with four categories of subsequent interaction: (1) there were no effects of herbicide on plant growth or soil microarthropods: (2) the maize cultivar (but not the GM HT trait) had effects on the decomposition of cotton strips and the nematode community; (3) herbicide application in general altered the community level physiological profile of the microbial community and reduced both soil basal respiration and the abundance of protozoa; and (4) the specific application of glufosinate-ammonium to T25 maize altered soil microbial community structure measured by ester linked fatty acids. The results from this glasshouse experiment support the findings from the field that there are effects of herbicide application on the soil microbial and meso-faunal community but that, compared to other standard agricultural practices, the differences are relatively small.
- Published
- 2008
14. Assessing dominance in sheep in a competitive situation: level of motivation and test duration
- Author
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David A. Elston, Glyn Stanworth, E. Fàbrega, Hans W. Erhard, Macaulay Land Use Research Institute, Partenaires INRAE, Institute of Agrifood Research and Technology (IRTA), and Biomathematics and Statistics Scotland
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sheep ,Food deprivation ,Veterinary medicine ,[SDV]Life Sciences [q-bio] ,medicine.medical_treatment ,Animal-assisted therapy ,dominance ,Animal science ,motivation ,Food Animals ,medicine ,Agonistic behaviour ,0501 psychology and cognitive sciences ,050102 behavioral science & comparative psychology ,Morning ,2. Zero hunger ,Meal ,05 social sciences ,0402 animal and dairy science ,04 agricultural and veterinary sciences ,040201 dairy & animal science ,Test duration ,Dominance (ethology) ,HUBzero ,Animal Science and Zoology ,Psychology ,competition ,food withdrawal - Abstract
International audience; The dominance structure in an established group of sheep is often difficult to determine in the field, because of the low frequency of agonistic interactions, often resulting in some pairs of animals not interacting at all in the observation period. A solution to this problem is to test each pair separately in a competitive situation. The most frequently used test involves competition for food after a specific period of food deprivation, but to date, there is no agreement as to the optimum length of time the animals should go without food. In this experiment, we compared competitive behaviour at different lengths of time after a meal. The experimental animals were a group a of 10 1-year-old, female Scottish Blackface sheep (45 dyads), who had access to dry grass pellets twice daily, from 07:00 to 08:00h and from 19:00 to 20:00 It. They were tested in pairs for 5 min immediately after and 2, 4, 6 and 8 h after the end of the morning meal. In the test arena (4.5 m x 4.5 m) a feed hopper provided access to feed to only one sheep at a time. We recorded aggressive interactions, such as blocking, threats and butts, as well as non-aggressive interactions (nudges), the time spent at the feeder, and the number and type of displacements (aggressive or non-aggressive). The number of displacements was also recorded in the home pens during ten 45-min periods of group feeding. Blocking behaviour showed the clearest difference between the two sheep in a pair and was, therefore, used as the main indicator of dominance. Its occurrence increased as the time since the morning meal was increased and decreased in the course of the 5 min tests. Consistency between pair-tests and group observations was greatest in the test 8 It after the previous meal, but the difference in consistency between the 2 and 8 It tests was small. Recording the behaviour for more than 2 min of the 5-min test did not increase the consistency of the data. We suggest that a period of at least 2 h of food withdrawal is necessary to generate sufficient motivation for a competition test and to mask differences in feeding motivation between individuals. While the performance of dominance-relevant behaviour increased with time since the last meal, a period of 4 h may be sufficient to provide high-quality data. We also suggest that the test duration can be reduced to 2 min.
- Published
- 2004
15. Europe-wide dampening of population cycles in keystone herbivores
- Author
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Frauke Ecke, Christian Imholt, David A. Elston, Otso Huitu, Heikki Henttonen, Vincent Bretagnolle, Thomas Cornulier, Nigel G. Yoccoz, Emil Tkadlec, Jon E. Brommer, Karol Zub, Steve J. Petty, Xavier Lambin, Hannu Pietiäinen, Rolf A. Ims, Jens Jacob, Erik Framstad, Alain Butet, Bogumiła Jędrzejewska, Alexandre Millon, Birger Hörnfeldt, School of Biological Sciences, University of Aberdeen, Department of Arctic and Marine Biology, University of Tromsø (UiT), Centre d'Études Biologiques de Chizé (CEBC), Institut National de la Recherche Agronomique (INRA)-Centre National de la Recherche Scientifique (CNRS), Faculty of Biological and Environmental Sciences [Helsinki], Helsingin yliopisto = Helsingfors universitet = University of Helsinki, Ecosystèmes, biodiversité, évolution [Rennes] (ECOBIO), Université de Rennes (UR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS), Department of Wildlife, Fish and Environmental Studies, Swedish University of Agricultural Sciences (SLU), Department of Aquatic Sciences and Assessment, Biomathematics and Statistics Scotland, Macaulay Institute, Norwegian Institute for Nature Research (NINA), Vantaa Research Unit, Finnish Forest Research Instiute, Finnish Forest Research Institute, Suonenjoki Unit, Federal Research Centre for Cultivated Plants, Julius Kühn-Institute, Mammal Research Institute, Polska Akademia Nauk = Polish Academy of Sciences (PAN), Centre for Human and Ecological Sciences, Department of Ecology and Environmental Sciences, Palacky University Olomouc, Institute of Vertebrate Biology, Czech Academy of Sciences [Prague] (CAS), School of Biological Science, Centre d'études biologiques de Chizé (CEBC), Centre National de la Recherche Scientifique (CNRS), University of Helsinki, Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), and Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)
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0106 biological sciences ,Population ,Population Dynamics ,Climate change ,Poaceae ,010603 evolutionary biology ,01 natural sciences ,Population growth ,Animals ,Ecosystem ,Herbivory ,education ,Trophic level ,education.field_of_study ,Herbivore ,Stochastic Processes ,Multidisciplinary ,biology ,Ecology ,Arvicolinae ,010604 marine biology & hydrobiology ,15. Life on land ,biology.organism_classification ,Europe ,13. Climate action ,[SDE]Environmental Sciences ,Population cycle ,ta1181 ,Vole ,Seasons - Abstract
Cycling in Unison Many small mammals, especially voles, display semi-regular cycles of population boom and bust. Given the fundamental importance of small mammals as basal consumers and prey, such cycles can have cascading effects in trophic food webs. Cornulier et al. (p. 63 ) collated raw data from vole populations across Europe collected over the past 18 years. Reduction in winter growth rate was common across a wide variety of habitats with very different local climates, suggesting the presence of a continental-scale climatic driver of vole populations.
- Published
- 2013
16. The Relationship of Dairy Farm Eco-Efficiency with Intensification and Self-Sufficiency. Evidence from the French Dairy Sector Using Life Cycle Analysis, Data Envelopment Analysis and Partial Least Squares Structural Equation Modelling
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Alistair W. Stott, Sindy Moreau, Philippe Faverdin, Thierry Charroin, Andreas Diomedes Soteriades, Mélanie Blanchard, Jiayi Liu, Scotland's Rural College (SRUC), Institut de l'élevage (IDELE), Systèmes d'élevage méditerranéens et tropicaux (UMR SELMET), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Biomathematics and Statistics Scotland, Physiologie, Environnement et Génétique pour l'Animal et les Systèmes d'Elevage [Rennes] (PEGASE), Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST, and AGROCAMPUS OUEST-Institut National de la Recherche Agronomique (INRA)
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Environmental Impacts ,[SDV]Life Sciences [q-bio] ,F08 - Systèmes et modes de culture ,Social Sciences ,lcsh:Medicine ,[SHS]Humanities and Social Sciences ,enveloppement des données ,Agricultural science ,Land Use ,efficience ,Environmental impact assessment ,lcsh:Science ,Animal Management ,2. Zero hunger ,Multidisciplinary ,Geography ,Agroforestry ,système d'élevage ,Agriculture ,04 agricultural and veterinary sciences ,Plants ,Dairying ,vache laitière ,Physical Sciences ,impact environnemental ,Female ,France ,Exploitation laitière ,performance ,Research Article ,Analyse du cycle de vie ,Farms ,Livestock ,système laitier ,Crops ,Environment ,Eco-efficiency ,Research and Analysis Methods ,Human Geography ,Structural equation modeling ,Model Organisms ,pratique agricole ,Plant and Algal Models ,Data envelopment analysis ,Animals ,[INFO]Computer Science [cs] ,Grasses ,Least-Squares Analysis ,Dairy farming ,Autosuffisance ,Intensification ,Animal Performance ,[SDV.GEN]Life Sciences [q-bio]/Genetics ,Land use ,business.industry ,Ecology and Environmental Sciences ,lcsh:R ,L01 - Élevage - Considérations générales ,Organisms ,Impact sur l'environnement ,0402 animal and dairy science ,Biology and Life Sciences ,Eigenvalues ,15. Life on land ,Gestion de l'exploitation agricole ,040201 dairy & animal science ,Maize ,E20 - Organisation, administration et gestion des entreprises ou exploitations agricoles ,[SDV.GEN.GA]Life Sciences [q-bio]/Genetics/Animal genetics ,Algebra ,Linear Algebra ,13. Climate action ,Sustainability ,Earth Sciences ,040103 agronomy & agriculture ,0401 agriculture, forestry, and fisheries ,Environmental science ,Cattle ,lcsh:Q ,business ,Mathematics ,Crop Science ,Cereal Crops - Abstract
International audience; We aimed at quantifying the extent to which agricultural management practices linked to animal production and land use affect environmental outcomes at a larger scale. Two practices closely linked to farm environmental performance at a larger scale are farming intensity, often resulting in greater off-farm environmental impacts (land, non-renewable energy use etc.) associated with the production of imported inputs (e.g. concentrates, fertilizer); and the degree of self-sufficiency, i.e. the farm’s capacity to produce goods from its own resources, with higher control over nutrient recycling and thus minimization of losses to the environment, often resulting in greater on-farm impacts (eutrophication, acidification etc.). We explored the relationship of these practices with farm environmental performance for 185 French specialized dairy farms. We used Partial Least Squares Structural Equation Modelling to build, and relate, latent variables of environmental performance, intensification and self-sufficiency. Proxy indicators reflected the latent variables for intensification (milk yield/cow, use of maize silage etc.) and self-sufficiency (home-grown feed/total feed use, on-farm energy/total energy use etc.). Environmental performance was represented by an aggregate ‘eco-efficiency’ score per farm derived from a Data Envelopment Analysis model fed with LCA and farm output data. The dataset was split into two spatially heterogeneous (bio-physical conditions, production patterns) regions. For both regions, eco-efficiency was significantly negatively related with milk yield/cow and the use of maize silage and imported concentrates. However, these results might not necessarily hold for intensive yet more self-sufficient farms. This requires further investigation with latent variables for intensification and self-sufficiency that do not largely overlap- a modelling challenge that occurred here. We conclude that the environmental ‘sustainability’ of intensive dairy farming depends on particular farming systems and circumstances, although we note that more self-sufficient farms may be preferable when they may benefit from relatively low land prices and agri-environment schemes aimed at maintaining grasslands.
- Published
- 2016
17. River macrophyte indices: not the Holy Grail!
- Author
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Demars, B.O.L., Potts, Jacqueline M., Tremolieres, Michèle, Thiébaut, Gabrielle, Gougelin, Nathalie, Nordmann, Vincent, The James Hutton Institute, Biomathematics and Statistics Scotland (BioSS), Macaulay Institute, Laboratoire d'Hydrologie et de Géochimie de Strasbourg (LHyGeS), Ecole et Observatoire des Sciences de la Terre (EOST), Université de Strasbourg (UNISTRA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS)-École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Ecosystèmes, biodiversité, évolution [Rennes] (ECOBIO), Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Ecolor, Gestion Territoriale de l'Eau et de l'environnement (UMR GESTE), École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Scottish Government's Rural and Environment Science and Analytical Services (RESAS) division, Institut national des sciences de l'Univers (INSU - CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Strasbourg (UNISTRA)-Centre National de la Recherche Scientifique (CNRS)-École Nationale du Génie de l'Eau et de l'Environnement de Strasbourg (ENGEES)-Centre National de la Recherche Scientifique (CNRS), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Centre National de la Recherche Scientifique (CNRS), Université de Rennes (UR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), and Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS)
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multiple stressors ,aquatic plants ,biomonitoring ,review ,[SDE.BE]Environmental Sciences/Biodiversity and Ecology ,uncertainty - Abstract
International audience; 1. Recent studies have demonstrated that there is generally no unambiguous relationship between plant species composition and specific environmental conditions in rivers. Nevertheless, indices of environmental pressures based on macrophytes are flourishing, because of the requirements of the Water Framework Directive (WFD). 2. We first reviewed nine such indices against 13 criteria for bioindicators. Then, using data from France and England, we tested whether the IBMR (Macrophyte Biological Index for Rivers) and LEAFPACS (predictions and classification system for macrophytes) methods could reliably indicate nutrient and hydromorphological pressures. Finally, we used an improved bootstrapping method to estimate accuracy. 3. Currently, most indices lack ecological meaning for a variety of reasons, including partial sampling (backwaters are excluded); reliance on list of taxa (there are identification difficulties) rather than structure and functions; correlation rather than causation; application within a limited biogeographical area; reliance on 'expert' judgement; high precision but poor accuracy; poorly defined reference conditions; lack of independent tests; and an inability to discriminate reliably between the target pressures of interest from confounding background variables. 4. IBMR was a far better indicator of pH (or HCO3-pCO2) than it was of soluble reactive phosphorus, SRP (or SRP-NH4). While there was a highly significant correlation between IBMR and SRP after removing the effect of pH, the relationship was weak (r2 = 0.08, n = 215, P < 0.001). 5. LEAFPACS is a multi-metric method summing up five individual indices, each compliant with the WFD. Its individual metrics were not better correlated with nutrient and hydromorphological pressures (with r2 < 0.1, n = 62, P < 0.05) than was the IBMR. The meaning of the overall metric is questionable. 6. There are problems in determining the precision of the indices, owing to uncertainties in recording, but they are less than the uncertainties in determining accuracy (because species optima and tolerances are sometimes poorly known). 7. Reliable information is needed to improve the state of our rivers. Macrophyte indices are able to detect statistically significant pressures from a large population of sites but cannot be applied at specific sites, as required by the WFD, owing to large uncertainties and low explanatory power. Typically, more than 90% of the variability in macrophyte indices is attributed to factors other than human pressure. The WFD would be better served by a simpler, holistic approach based on our current mechanistic understanding of river processes. These findings are likely to apply also to other taxonomic groups (macroinvertebrates, diatoms, fish) used in the assessment of purported ecological quality and to palaeolimnological measures of reference status.
- Published
- 2012
18. Dynamic Bayesian networks in molecular plant science: inferring gene regulatory networks from multiple gene expression time series
- Author
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Dirk Husmeier, Sophie Lèbre, Frank Dondelinger, Biomathematics and Statistics Scotland, Département de Mathématiques et Informatique Appliquées (MIAP), and Université Paul-Valéry - Montpellier 3 (UPVM)
- Subjects
0106 biological sciences ,Reverse engineering ,Arabidopsis thaliana ,Gene regulatory network ,Plant Science ,Computational biology ,Horticulture ,Biology ,computer.software_genre ,Bioinformatics ,01 natural sciences ,Synthetic data ,Gene regulatory networks ,03 medical and health sciences ,Genetics ,Gene ,Dynamic Bayesian network ,030304 developmental biology ,0303 health sciences ,Information sharing ,[STAT.AP]Statistics [stat]/Applications [stat.AP] ,Bayesian network ,Dynamic Bayesian networks ,Circadian regulation ,Data integration ,ComputingMethodologies_GENERAL ,Agronomy and Crop Science ,computer ,[STAT.ME]Statistics [stat]/Methodology [stat.ME] ,010606 plant biology & botany - Abstract
International audience; To understand the processes of growth and biomass production in plants, we ultimately need to elucidate the structure of the underlying regulatory networks at the molecular level. The advent of high-throughput postgenomic technologies has spurred substantial interest in reverse engineering these networks from data, and several techniques from machine learning and multivariate statistics have recently been proposed. The present article discusses the problem of inferring gene regulatory networks from gene expression time series, and we focus our exposition on the methodology of Bayesian networks. We describe dynamic Bayesian networks and explain their advantages over other statistical methods. We introduce a novel information sharing scheme, which allows us to infer gene regulatory networks from multiple sources of gene expression data more accurately. We illustrate and test this method on a set of synthetic data, using three different measures to quantify the network reconstruction accuracy. The main application of our method is related to the problem of circadian regulation in plants, where we aim to reconstruct the regulatory networks of nine circadian genes in Arabidopsis thaliana from four gene expression time series obtained under different experimental conditions.
- Published
- 2012
19. Genome Analyses of an Aggressive and Invasive Lineage of the Irish Potato Famine Pathogen
- Author
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Sylvain Raffaele, R. A. Bain, Erica M. Goss, Ricardo Oliva, Sophien Kamoun, David E. L. Cooke, Eleanor M. Gilroy, Louise R. Cooke, Ingo Hein, Alison K. Lees, Vivianne G. A. A. Vleeshouwers, Mathieu A. Pel, David S. Shaw, Liliana M. Cano, Niklaus J. Grünwald, James W. McNicol, Kenneth L. Deahl, Graham J Etherington, Dan MacLean, Rhys A. Farrer, Paul R. J. Birch, Moray Taylor, Julie Squires, Eva Randall, The James Hutton Institute, The Sainsbury Laboratory [Norwich] (TSL), SAC, Agri-Food and Biosciences Institute, PSI-GIFVL, BARC-West, USDA-ARS : Agricultural Research Service, Horticultural Crops Research Laboratory, Emerging Pathogens Institute & Department of Plant Pathology, University of Florida [Gainesville] (UF), Biomathematics and Statistics Scotland, Macaulay Institute, Escuela Politecnica del Ejercito, Plant Breeding, Wageningen University and Research [Wageningen] (WUR), The Sarvari Research Trust, Henfaes Research Centre, The Food and Environment Research Agency Sand Hutton, Sustainable Livestock Systems, SAC, Potato Council, Scottish Government, Gatsby Charitable Foundation, Marie Curie IEF : 255104, Dutch Ministry of Agriculture, Nature and Food Quality, FP6 program BioExploit : Food-CT-2005-513959, and BBSRC/RESAS CRF grant
- Subjects
0106 biological sciences ,[SDV.SA]Life Sciences [q-bio]/Agricultural sciences ,late blight ,Population Dynamics ,plant ,Plant Science ,Plant Genetics ,01 natural sciences ,Genome ,Laboratorium voor Plantenveredeling ,pomme de terre ,Genome Databases ,Genome Sequencing ,Copy-number variation ,rxlr effectors ,Biology (General) ,Plant Proteins ,2. Zero hunger ,Oomycete ,Genetics ,0303 health sciences ,education.field_of_study ,biology ,Effector ,EPS-2 ,genotypic diversity ,Genomics ,Agricultural sciences ,Host-Pathogen Interactions ,Phytophthora infestans ,potato ,Genome, Fungal ,Research Article ,Crops, Agricultural ,Lineage (genetic) ,DNA Copy Number Variations ,QH301-705.5 ,Immunology ,Population ,Plant Pathogens ,Genes, Plant ,Microbiology ,resistance ,03 medical and health sciences ,Virology ,expression ,analyse génomique ,Disease Dynamics ,education ,Biology ,Molecular Biology ,Plant Diseases ,Solanum tuberosum ,030304 developmental biology ,Polymorphism, Genetic ,Population Biology ,business.industry ,Gene Expression Profiling ,Sequence Analysis, DNA ,RC581-607 ,Comparative Genomics ,Plant Pathology ,microsatellite markers ,biology.organism_classification ,phytophthora-infestans populations ,Immunity, Innate ,maladie des plantes ,Biotechnology ,virulence ,Plant Breeding ,Mutation Databases ,Parasitology ,Immunologic diseases. Allergy ,Genome Expression Analysis ,business ,clonal lineages ,Sciences agricoles ,010606 plant biology & botany - Abstract
Pest and pathogen losses jeopardise global food security and ever since the 19th century Irish famine, potato late blight has exemplified this threat. The causal oomycete pathogen, Phytophthora infestans, undergoes major population shifts in agricultural systems via the successive emergence and migration of asexual lineages. The phenotypic and genotypic bases of these selective sweeps are largely unknown but management strategies need to adapt to reflect the changing pathogen population. Here, we used molecular markers to document the emergence of a lineage, termed 13_A2, in the European P. infestans population, and its rapid displacement of other lineages to exceed 75% of the pathogen population across Great Britain in less than three years. We show that isolates of the 13_A2 lineage are among the most aggressive on cultivated potatoes, outcompete other aggressive lineages in the field, and overcome previously effective forms of plant host resistance. Genome analyses of a 13_A2 isolate revealed extensive genetic and expression polymorphisms particularly in effector genes. Copy number variations, gene gains and losses, amino-acid replacements and changes in expression patterns of disease effector genes within the 13_A2 isolate likely contribute to enhanced virulence and aggressiveness to drive this population displacement. Importantly, 13_A2 isolates carry intact and in planta induced Avrblb1, Avrblb2 and Avrvnt1 effector genes that trigger resistance in potato lines carrying the corresponding R immune receptor genes Rpi-blb1, Rpi-blb2, and Rpi-vnt1.1. These findings point towards a strategy for deploying genetic resistance to mitigate the impact of the 13_A2 lineage and illustrate how pathogen population monitoring, combined with genome analysis, informs the management of devastating disease epidemics., Author Summary We have documented a dramatic shift in the population of the potato late blight pathogen Phytophthora infestans in northwest Europe in which an invasive and aggressive lineage called 13_A2 has emerged and rapidly displaced other genotypes. The genome of a 13_A2 isolate revealed a high rate of sequence polymorphism and a remarkable level of variation in gene expression during infection, particularly of effector genes with putative roles in pathogenicity. Collectively, these polymorphisms, in combination with an extended biotrophic phase, may explain the aggressiveness of 13_A2 and its ability to cause disease on previously resistant potato cultivars. The genome analysis identified conserved effectors that are sensed by potato resistance genes. These findings provide options for the strategic deployment of host resistance with a positive impact on crop yield and food security. This work stresses the benefits of a crop disease management strategy incorporating knowledge of the geographical structure, evolutionary dynamics, genome sequence diversity and in planta-induced effector complement of pathogen lineages.
- Published
- 2012
20. Crop growth models for the -omics era: the EU-SPICY project
- Author
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Voorrips, R.E., Palloix, A., Dieleman, J.A., Bink, M.C.A.M., Heuvelink, E., van der Heijden, G.W.A.M., Vuylsteke, M., Glasbey, C., Barócsi, A., Magán, J., van Eeuwijk, F.A., Plant Research International (PRI), Wageningen University and Research [Wageningen] (WUR), Génétique et Amélioration des Fruits et Légumes (GAFL), Institut National de la Recherche Agronomique (INRA), Wageningen University and Research Centre (WUR), Biometris, Department Plant Sciences, University of Cambridge, Department of Plant Systems Biology, Biomathematics and Statistics Scotland, Budapest University of Technology and Economics, Fundacion Cajamar, and Partenaires INRAE
- Subjects
Horticultural Supply Chains ,CROP GROWTH MODEL ,MOLECULAR MARKER ,Wageningen UR Greenhouse Horticulture ,[SDV]Life Sciences [q-bio] ,Leerstoelgroep Tuinbouwproductieketens ,food and beverages ,GENETIQUE ,PE&RC ,WUR GTB Gewasfysiologie Management en Model ,Wageningen UR Glastuinbouw ,Wiskundige en Statistische Methoden - Biometris ,GENOMIQUE ,Plant Breeding ,Biometris ,Life Science ,QUALITY ,YIELD PREDICTION ,Mathematical and Statistical Methods - Biometris ,RELATION SOURCE-PUITS - Abstract
The prediction of phenotypic responses from genetic and environment al information is an area of active research in genetics, physiology and statistics. Rapidly increasing amounts of phenotypic information become available as a consequence of high throughput phenotyping techniques, while more and cheaper genotypic data follow from the development of new genotyping platforms. A wide array of -omics data can be generated linking genotype and phenotype. Continuous monitoring of environmental conditions has become an accessible option. This weal th of data requires a drastic rethinking of the traditional quantitative genetic approach to modeling phenotypic variation in terms of genetic and environmental differences. Where in the past a single phenotypic trait was partitioned in a genetic and environmental component by analysis of variance techniques, nowadays we desire to model multiple, interrelated and often time dependent, phenotypk t raits as a function of genes (QTLs) and environmental inputs, whi le we would like to include transcription information as well. The EU proj ect 'Smart tools for Predicti on and Improvement of Crop Yield'(KBBE2008-211347), or SPICY, aims at the development of genotype-ta-phenotype models that fully integrate genetic , genomic, physiological and environmental information to achieve accurate phenotypic predictions across a wide variety of genetic and environmental configurations. Pepper (Capsicum annuum) is chosen as the model crop, because of the availability of genetica lly characterized populations and of generic models for continuous crop growth and greenhouse production. In the presentation the objectives and structure of SPICY as well as its philosophy will be discussed.
- Published
- 2010
21. An eQTL analysis of partial resistance to puccinia hordei barley
- Author
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Xinwei Chen, Christine A Hackett, Rients E Niks, Peter E Hedley, Clare Booth, Arnis Druka, Thierry C Marcel, Anton Vels, Micha Bayer, Iain Milne, Jenny Morris, Luke Ramsay, David Marshall, Linda Cardle, Robbie Waugh, Genetics Programme, SCRI, Biomathematics and Statistics Scotland, Scottish Crop Research Institute, Laboratory of plant breeding, Wageningen University and Research [Wageningen] (WUR), BIOlogie et GEstion des Risques en agriculture (BIOGER), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, and Wageningen University and Research Centre (WUR)
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0106 biological sciences ,Candidate gene ,[SDV]Life Sciences [q-bio] ,Stem rust ,01 natural sciences ,density consensus map ,Genetics and Genomics/Plant Genetics and Gene Expression ,quantitative trait locus ,Laboratorium voor Plantenveredeling ,basal defense ,2. Zero hunger ,Genetics ,0303 health sciences ,education.field_of_study ,Multidisciplinary ,biology ,TRANSCRIPT DERIVED MARKER ,EPS-2 ,food and beverages ,Genetics and Genomics/Gene Expression ,Medicine ,LEAF RUST ,Research Article ,flowering-time ,CANDIDATE GENE ,QUANTITATIVE TRAIT LOCUS ,Science ,Quantitative Trait Loci ,Population ,Genetics and Genomics/Complex Traits ,Quantitative trait locus ,Plant disease resistance ,AFFYMETRIX ,Genes, Plant ,03 medical and health sciences ,leaf rust ,education ,030304 developmental biology ,Fungi ,Hordeum ,Genetics and Genomics ,biology.organism_classification ,Unifarm ,gene-expression ,Plant Breeding ,arabidopsis ,stem rust ,Expression quantitative trait loci ,Doubled haploidy ,powdery mildew ,false discovery rate ,Puccinia hordei ,010606 plant biology & botany - Abstract
International audience; Background: Genetic resistance to barley leaf rust caused by Puccinia hordei involves both R genes and quantitative trait loci. The R genes provide higher but less durable resistance than the quantitative trait loci. Consequently, exploring quantitative or partial resistance has become a favorable alternative for controlling disease. Four quantitative trait loci for partial resistance to leaf rust have been identified in the doubled haploid Steptoe (St)/Morex (Mx) mapping population. Further investigations are required to study the molecular mechanisms underpinning partial resistance and ultimately identify the causal genes. Methodology/Principal Findings: We explored partial resistance to barley leaf rust using a genetical genomics approach. We recorded RNA transcript abundance corresponding to each probe on a 15K Agilent custom barley microarray in seedlings from St and Mx and 144 doubled haploid lines of the St/Mx population. A total of 1154 and 1037 genes were, respectively, identified as being P. hordei-responsive among the St and Mx and differentially expressed between P. hordeiinfected St and Mx. Normalized ratios from 72 distant-pair hybridisations were used to map the genetic determinants of variation in transcript abundance by expression quantitative trait locus (eQTL) mapping generating 15685 eQTL from 9557 genes. Correlation analysis identified 128 genes that were correlated with resistance, of which 89 had eQTL co-locating with the phenotypic quantitative trait loci (pQTL). Transcript abundance in the parents and conservation of synteny with rice allowed us to prioritise six genes as candidates for Rphq11, the pQTL of largest effect, and highlight one, a phospholipid hydroperoxide glutathione peroxidase (HvPHGPx) for detailed analysis. Conclusions/Significance: The eQTL approach yielded information that led to the identification of strong candidate genes underlying pQTL for resistance to leaf rust in barley and on the general pathogen response pathway. The dataset will facilitate a systems appraisal of this host-pathogen interaction and, potentially, for other traits measured in this population.
- Published
- 2010
22. Sequential analysis for microarray data based on sensitivity and meta-analysis
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Claus-Dieter Mayer, Guillemette Marot, Génétique Animale et Biologie Intégrative (GABI), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, and Biomathematics and Statistics Scotland
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Statistics and Probability ,Computer science ,[SDV]Life Sciences [q-bio] ,Context (language use) ,computer.software_genre ,Statistical power ,03 medical and health sciences ,Mice ,0302 clinical medicine ,Meta-Analysis as Topic ,Interim ,Databases, Genetic ,Genetics ,Animals ,Humans ,Computer Simulation ,Sensitivity (control systems) ,Molecular Biology ,030304 developmental biology ,Oligonucleotide Array Sequence Analysis ,0303 health sciences ,Apolipoprotein A-I ,Probability and statistics ,transcriptomic ,Interim analysis ,sequential analysis ,Computational Mathematics ,030220 oncology & carcinogenesis ,Gene chip analysis ,gene expression ,Data mining ,Marginal distribution ,computer ,microarray ,meta analysis - Abstract
MOTIVATION Transcriptomic studies using microarray technology have become a standard tool in life sciences in the last decade. Nevertheless the cost of these experiments remains high and forces scientists to work with small sample sizes at the expense of statistical power. In many cases, little or no prior knowledge on the underlying variability is available, which would allow an accurate estimation of the number of samples (microarrays) required to answer a particular biological question of interest. We investigate sequential methods, also called group sequential or adaptive designs in the context of clinical trials, for microarray analysis. Through interim analyses at different stages of the experiment and application of a stopping rule a decision can be made as to whether more samples should be studied or whether the experiment has yielded enough information already. RESULTS The high dimensionality of microarray data facilitates the sequential approach. Since thousands of genes simultaneously contribute to the stopping decision, the marginal distribution of any single gene is nearly independent of the global stopping rule. For this reason, the interim analysis does not seriously bias the final p-values. We propose a meta-analysis approach to combining the results of the interim analyses at different stages. We consider stopping rules that are either based on the estimated number of true positives or on a sensitivity estimate and particularly discuss the difficulty of estimating the latter. We study this sequential method in an extensive simulation study and also apply it to several real data sets. The results show that applying sequential methods can reduce the number of microarrays without substantial loss of power. An R-package SequentialMA implementing the approach is available from the authors.
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- 2009
23. FTIR spectroscopy can predict organic matter quality in regenerating cutover peatlands
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Artz, Rebekka R.E., Chapman, Stephen J., Robertson, A.H. Jean, Potts, Jacqueline M., Laggoun-Défarge, Fatima, Gogo, Sébastien, Comont, Laure, Disnar, Jean-Robert, Francez, Andre-Jean, POTHIER, Nathalie, Environmental Sciences Group, Macaulay Institute, Soils Group, Biomathematics and Statistics Scotland (BioSS), Institut des Sciences de la Terre d'Orléans (ISTO), Institut national des sciences de l'Univers (INSU - CNRS)-Université d'Orléans (UO)-Centre National de la Recherche Scientifique (CNRS), Ecosystèmes, biodiversité, évolution [Rennes] (ECOBIO), Université de Rennes (UR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR), Université de Rennes (UR)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut national des sciences de l'Univers (INSU - CNRS)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Centre National de la Recherche Scientifique (CNRS), This work was part of the RECIPE initiative, funded through a grant by the EU Framework 5. SJC is funded by the Scottish Executive Environment and Rural Affairs Department., Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Institut Ecologie et Environnement (INEE), Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut Ecologie et Environnement (INEE), and Centre National de la Recherche Scientifique (CNRS)-Centre National de la Recherche Scientifique (CNRS)-Observatoire des Sciences de l'Univers de Rennes (OSUR)-Centre National de la Recherche Scientifique (CNRS)
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[SDU.STU.GC]Sciences of the Universe [physics]/Earth Sciences/Geochemistry ,Fourier-Transform Infrared Spectroscopy ,organic matter quality ,91.67.Uv ,[SDU.STU.GC] Sciences of the Universe [physics]/Earth Sciences/Geochemistry ,peat ,carbohydrates ,[SDE.MCG.CPE]Environmental Sciences/Global Changes/domain_sde.mcg.cpe ,organic micro-remains ,[SDE.MCG.CPE] Environmental Sciences/Global Changes/domain_sde.mcg.cpe ,C:N ratio - Abstract
International audience; Vegetational changes during the restoration of cutover peatlands leave a legacy in terms of the organic matter quality of the newly formed peat. Current efforts to restore peatlands at a large scale therefore require low cost, and high throughout, techniques to monitor the evolution of organic matter. In this study, we assessed the Fourier Transform Infrared (FTIR) spectra of the organic matter in peat samples at various stages of peatland regeneration from five European countries. Using predictive partial least squares analyses, we were able to reconstruct both peat C:N ratio and carbohydrate signatures, but not the micromorphological composit ion of vegetation remains, from the FTIR datasets. Despite utilising different size fractions, both carbohydrate (< 200 μm fraction) and FTIR (bulk soil) analyses report on the composition of plant cell wall constituents in the peat and therefore essentially reveal the composition of the parent vegetational material. This suggests that FTIR analysis of peat may be used successfully for evaluation of the present and future organic matter composition of peat in monitoring of restoration efforts.
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- 2008
24. Sheep-urine-induced changes in soil microbial community structure
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Nunan, Naoise, Singh, Brajesh, Reid, Eileen, Ord, Brian, Papert, Artemis, Squires, Julie, I. Prosser, Jim, E. Wheatley, Ron, Mcnicol, Jim, Millard, Peter, Biogéochimie et écologie des milieux continentaux (Bioemco), Centre National de la Recherche Scientifique (CNRS)-AgroParisTech-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Recherche Agronomique (INRA)-École normale supérieure - Paris (ENS Paris), Macaulay Institute, School of Medical Science, University of Aberdeen, Scottish Crop Research Institute, Biomathematics and Statistics Scotland, BioSS, École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Université Pierre et Marie Curie - Paris 6 (UPMC)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS), and Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)
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[SDV.EE]Life Sciences [q-bio]/Ecology, environment ,soil solution chemistry ,microbial community structure ,Biolog ,lipids (amino acids, peptides, and proteins) ,phospholipid fatty acid analysis ,denaturing gradient gel electrophoresis - Abstract
International audience; Soil microbial communities play an important role in nutrient cycling and nutrient availability, especially in unimproved soils. In grazed pastures, sheep urine causes local changes in nutrient concentration which may be a source of heterogeneity in microbial community structure. In the present study, we investigated the effects of synthetic urine on soil microbial community structure, using physiological (community level physiological profiling, CLPP), biochemical (phospholipid fatty acid analysis, PLFA) and molecular (denaturing gradient gel electrophoresis, DGGE) fingerprinting methods. PLFA data suggested that synthetic urine treatment had no significant effect on total microbial (total PLFA), total bacterial or fungal biomass; however, significant changes in microbial community structure were observed with both PLFA and DGGE data. PLFA data suggested that synthetic urine induced a shift towards communities with higher concentrations of branched fatty acids. DGGE banding patterns derived from control and treated soils differed, due to a higher proportion of DNA sequences migrating only to the upper regions of the gel in synthetic urine-treated samples. The shifts in community structure measured by PLFA and DGGE were significantly correlated with one another, suggesting that both datasets reflected the same changes in microbial communities. Synthetic urine treatment preferentially stimulated the use of rhizosphere-C in sole-carbon-source utilisation profiles. The changes caused by synthetic urine addition accounted for only 10-15% of the total variability in community structure, suggesting that overall microbial community structure was reasonably stable and that changes were confined to a small proportion of the communities
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- 2006
25. A method for assessing the relative sociability of individuals within groups: an example with grazing sheep
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D.J.F. Smith, David A. Elston, Hans W. Erhard, A. M. Sibbald, Macaulay Land Use Research Institute, Partenaires INRAE, Biomathematics and Statistics Scotland, and University of Edinburgh
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0106 biological sciences ,sheep ,medicine.medical_treatment ,[SDV]Life Sciences [q-bio] ,Animal-assisted therapy ,010603 evolutionary biology ,01 natural sciences ,social behaviour ,Food Animals ,Consistency (statistics) ,Animal welfare ,Grazing ,Statistics ,medicine ,0501 psychology and cognitive sciences ,grazing ,050102 behavioral science & comparative psychology ,Mathematics ,Group (mathematics) ,05 social sciences ,association ,Nearest neighbour ,sociability ,nearest neighbour ,HUBzero ,Animal Science and Zoology ,Null hypothesis ,Social psychology - Abstract
International audience; We describe a method for quantifying relative sociability within a group of animals, which is defined as the tendency to be close to others within the group and based on the identification of nearest neighbours. The method is suitable for groups of animals in which all individuals are visible and identifiable and has application as a tool in other areas of behavioural research. A sociability index (SI) is calculated, which is equivalent to the relative proportion of time that an individual spends as the nearest neighbour of other animals in the group and is scaled to have an expectation of 1.0 under the null hypothesis of random mixing. Associated pairs, which are animals seen as nearest neighbours more often than would be expected by chance, are also identified. The method tests for consistency across a number of independent observation periods, by comparison with values obtained from simulations in which animal identities are randomised between observation periods. An experiment is described in which 8 groups of 7 grazing sheep were each observed for a total of 10, one-hour periods and the identities and distances away of the 3 nearest neighbours of each focal animal recorded at 5 min intervals. Significant within-group differences in SIs were found in four of the groups (P < 0.001). SIs calculated using the nearest neighbour, two nearest neighbours or three nearest neighbours, were generally highly correlated within all groups, with little change in the ranking of animals. There were significant negative correlations between SIs and nearest neighbour distances in five of the groups. It was concluded that there was no advantage in recording more than one neighbour to calculate the SI. Advantages of the SI over other methods for measuring sociability and pair-wise associations are discussed.
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- 2005
26. Blockchains and the economic institutions of capitalism
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Primavera De Filippi, Sinclair Davidson, Jason Potts, Royal Melbourne Institute of Technology University (RMIT University), Centre d'Etudes et de Recherches de Sciences Administratives et Politiques (CERSA), Université Panthéon-Assas (UP2)-Centre National de la Recherche Scientifique (CNRS), Biomathematics and Statistics Scotland (BioSS), and Macaulay Institute
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Cryptocurrency ,business.industry ,Corporate governance ,05 social sciences ,General purpose technology ,Institutional economics ,Cryptography ,Certification ,Capitalism ,[SHS.DROIT]Humanities and Social Sciences/Law ,0502 economics and business ,Ledger ,050207 economics ,business ,General Economics, Econometrics and Finance ,050203 business & management ,Law and economics - Abstract
Blockchains are a new digital technology that combines peer-to-peer network computing and cryptography to create an immutable decentralised public ledger. Where the ledger records money, a blockchain is a cryptocurrency, such as Bitcoin; but ledger entries can record any data structure, including property titles, identity and certification, contracts, and so on. We argue that the economics of blockchains extend beyond analysis of a new general purpose technology and its disruptive Schumpeterian consequences to the broader idea that blockchains are an institutional technology. We consider several examples of blockchain-based economic coordination and governance. We claim that blockchains are an instance of institutional evolution.
27. Transferability of a Bayesian Belief Network across diverse agricultural catchments using high-frequency hydrochemistry and land management data.
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Negri C, Schurch N, Wade AJ, Mellander PE, Stutter M, Bowes MJ, Mzyece CC, and Glendell M
- Abstract
Biogeochemical catchment models are often developed for a single catchment and, as a result, often generalize poorly beyond this. Evaluating their transferability is an important step in improving their predictive power and application range. We assess the transferability of a recently developed Bayesian Belief Network (BBN) that simulated monthly stream phosphorus (P) concentrations in a poorly-drained grassland catchment through application to three further catchments with different hydrological regimes and agricultural land uses. In all catchments, flow and turbidity were measured sub-hourly from 2009 to 2016 and supplemented with 400-500 soil P test measurements. In addition to a previously parameterized BBN, five further model structures were implemented to incorporate in a stepwise way: in-stream P removal using expert elicitation, additional groundwater P stores and delivery, and the presence or absence of septic tank treatment, and, in one case, Sewage Treatment Works. Model performance was tested through comparison of predicted and observed total reactive P (TRP) concentrations and percentage bias (PBIAS). The original BBN accurately simulated the absolute values of observed flow and TRP concentrations in the poorly and moderately drained catchments (albeit with poor apparent percentage bias scores; 76 % ≤ PBIAS≤94 %) irrespective of the dominant land use, but performed less well in the groundwater-dominated catchments. However, including groundwater total dissolved P (TDP) and Sewage Treatment Works (STWs) inputs, and in-stream P uptake improved model performance (-5 % ≤ PBIAS≤18 %). A sensitivity analysis identified redundant variables further helping to streamline the model applications. An enhanced BBN model capable for wider application and generalisation resulted., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)
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- 2024
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28. Traditional herders' perception of job satisfaction and integration into society: Another obstacle to the survival of pastoralism?
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Pérez-Barbería FJ, Brewer MJ, and Gordon IJ
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Pastoralism is gaining in recognition for its provision of a broad range of ecosystem services. However, in Western countries, especially in Europe, it has been in decline for decades and its future is uncertain. Professional satisfaction, social appreciation and community integration are key factors for the sustainability of any activity. Using information from 167 traditional Spanish herders, we assessed their perceived degree of satisfaction with their profession and the reasons behind their perceptions. Herders were extremely satisfied with their profession, but they perceived medium and low levels of appreciation by the rural and urban sectors of society, respectively. Herders had negative feelings about the sustainability of their profession, as they felt more appreciated by society in the past than they do today, half of them did not want their offspring to make a living as herders. Improving communication between herders and society could help to enhance herders' appreciation of their profession., (© 2024. The Author(s).)
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- 2024
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29. Seropositivity to louping ill virus in dogs in the UK.
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Elgueta I, Allen K, Liatis T, Gonzalo-Nadal V, Laming E, Dagleish MP, Jamieson PM, Innocent G, and Rocchi MS
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- Animals, Dogs, Seroepidemiologic Studies, United Kingdom epidemiology, Female, Male, Antibodies, Viral blood, Encephalitis, Tick-Borne epidemiology, Encephalitis, Tick-Borne veterinary, Flavivirus Infections veterinary, Flavivirus Infections epidemiology, Dog Diseases epidemiology, Dog Diseases virology, Encephalitis Viruses, Tick-Borne isolation & purification, Encephalitis Viruses, Tick-Borne immunology
- Abstract
Background: Louping ill virus (LIV) is a tick-borne flavivirus that can cause fatal meningoencephalomyelitis in dogs. Four dogs with confirmed LIV infection and a case series of dogs with suspected flavivirus infection have been reported in the UK. However, underreporting of LIV infection due to lack of testing is suspected., Methods: Surplus serum/plasma from 220 dogs was used to determine the seroprevalence of LIV by haemagglutination inhibition (HAI) test. Signalment and environmental factors were investigated for potential correlations with a positive titre (serum dilution of 1:20 or more)., Results: Two hundred and two dogs were suitable for inclusion in the study, nine of which (4.5%) were seropositive. Among the dogs investigated for neurological disease (40/202; 19.8%), six (15%) were seropositive. Ectoparasiticide use approached significance (p = 0.055) for being protective against LIV seropositivity., Limitations: The main limitations were the specificity of the HAI test, the relatively small number of samples, the low number of seropositive dogs, the poor geographical distribution of the samples and the inherent limitations of questionnaire-based research., Conclusion: The seroprevalence of LIV in the UK dog population appears to be low. However, LIV should be considered in dogs presenting with unexplained acute or subacute progressive neurological clinical signs, especially because of the recent reports of several dogs with clinical flavivirus infections., (© 2024 British Veterinary Association.)
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- 2024
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30. Evaluation of the Protective Efficacy of Different Doses of a Chlamydia abortus Subcellular Vaccine in a Pregnant Sheep Challenge Model for Ovine Enzootic Abortion.
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Livingstone M, Aitchison K, Palarea-Albaladejo J, Chianini F, Rocchi MS, Caspe SG, Underwood C, Flockhart A, Wheelhouse N, Entrican G, Wattegedera SR, and Longbottom D
- Abstract
Chlamydia abortus causes the disease ovine enzootic abortion, which is one of the most infectious causes of foetal death in small ruminants worldwide. While the disease can be controlled using live and inactivated commercial vaccines, there is scope for improvements in safety for both sheep and human handlers of the vaccines. We have previously reported the development of a new prototype vaccine based on a detergent-extracted outer membrane protein preparation of C. abortus that was determined to be more efficacious and safer than the commercial vaccines when administered in two inoculations three weeks apart. In this new study, we have developed this vaccine further by comparing its efficacy when delivered in one or two (1 × 20 µg and 2 × 10 µg) doses, as well as also comparing the effect of reducing the antigen content of the vaccine by 50% (2 × 5 µg and 1 × 10 µg). All vaccine formulations performed well in comparison to the unvaccinated challenge control group, with no significant differences observed between vaccine groups, demonstrating that the vaccine can be administered as a single inoculation and at a lower dose without compromising efficacy. Future studies should focus on further defining the optimal antigen dose to increase the commercial viability of the vaccine.
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- 2024
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31. Altered expression of a raspberry homologue of VRN1 is associated with disruption of dormancy induction and misregulation of subsets of dormancy-associated genes.
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Mateos B, Preedy K, Milne L, Morris J, Hedley PE, Simpson C, Hancock RD, and Graham J
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- Transcriptome, Plant Dormancy genetics, Gene Expression Regulation, Plant, Plant Proteins genetics, Plant Proteins metabolism, Rubus genetics, Rubus metabolism, Rubus physiology, Rubus growth & development
- Abstract
Winter dormancy is a key process in the phenology of temperate perennials. Climate change is severely impacting its course leading to economic losses in agriculture. A better understanding of the underlying mechanisms, as well as the genetic basis of the different responses, is necessary for the development of climate-resilient cultivars. This study aims to provide an insight into winter dormancy in red raspberry (Rubus idaeus L). We report the transcriptomic profiles during dormancy in two raspberry cultivars with contrasting responses. The cultivar 'Glen Ample' showed a typical perennial phenology, whereas 'Glen Dee' registered consistent dormancy dysregulation, exhibiting active growth and flowering out of season. RNA-seq combined with weighted gene co-expression network analysis identified gene clusters in both genotypes that exhibited time-dependent expression profiles. Functional analysis of 'Glen Ample' gene clusters highlighted the significance of the cell and structural development prior to dormancy entry as well the role of genetic and epigenetic processes such as RNAi and DNA methylation in regulating gene expression. Dormancy release in 'Glen Ample' was associated with up-regulation of transcripts associated with the resumption of metabolism, nucleic acid biogenesis, and processing signal response pathways. Many of the processes occurring in 'Glen Ample' were dysregulated in 'Glen Dee' and 28 transcripts exhibiting time-dependent expression in 'Glen Ample' that also had an Arabidopsis homologue were not found in 'Glen Dee'. These included a gene with homology to Arabidopsis VRN1 (RiVRN1.1) that exhibited a sharp decline in expression following dormancy induction in 'Glen Ample'. Characterization of the gene region in the 'Glen Dee' genome revealed two large insertions upstream of the ATG start codon. We propose that expression below detection level of a specific VRN1 homologue in 'Glen Dee' causes dormancy misregulation as a result of inappropriate expression of a subset of genes that are directly or indirectly regulated by RiVRN1.1., (© The Author(s) 2024. Published by Oxford University Press on behalf of the Society for Experimental Biology.)
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- 2024
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32. Role of vector phenotypic plasticity in disease transmission as illustrated by the spread of dengue virus by Aedes albopictus.
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Brass DP, Cobbold CA, Purse BV, Ewing DA, Callaghan A, and White SM
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- Animals, Humans, Disease Outbreaks, Aedes virology, Dengue transmission, Dengue virology, Dengue epidemiology, Mosquito Vectors virology, Dengue Virus physiology, Phenotype
- Abstract
The incidence of vector-borne disease is on the rise globally, with burdens increasing in endemic countries and outbreaks occurring in new locations. Effective mitigation and intervention strategies require models that accurately predict both spatial and temporal changes in disease dynamics, but this remains challenging due to the complex and interactive relationships between environmental variation and the vector traits that govern the transmission of vector-borne diseases. Predictions of disease risk in the literature typically assume that vector traits vary instantaneously and independently of population density, and therefore do not capture the delayed response of these same traits to past biotic and abiotic environments. We argue here that to produce accurate predictions of disease risk it is necessary to account for environmentally driven and delayed instances of phenotypic plasticity. To show this, we develop a stage and phenotypically structured model for the invasive mosquito vector, Aedes albopictus, and dengue, the second most prevalent human vector-borne disease worldwide. We find that environmental variation drives a dynamic phenotypic structure in the mosquito population, which accurately predicts global patterns of mosquito trait-abundance dynamics. In turn, this interacts with disease transmission to capture historic dengue outbreaks. By comparing the model to a suite of simpler models, we reveal that it is the delayed phenotypic structure that is critical for accurate prediction. Consequently, the incorporation of vector trait relationships into transmission models is critical to improvement of early warning systems that inform mitigation and control strategies., (© 2024. The Author(s).)
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- 2024
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33. A comparison between constructed wetland substrates: Impacts on microbial community and wastewater treatment.
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Cakin I, Morrissey B, Marcello L, Gaffney PPJ, Pap S, and Taggart MA
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- Microbiota, Fungi metabolism, Water Pollutants, Chemical metabolism, Water Pollutants, Chemical analysis, Biological Oxygen Demand Analysis, Wetlands, Wastewater chemistry, Wastewater microbiology, Waste Disposal, Fluid methods, Charcoal chemistry, Bacteria metabolism, Bacteria classification
- Abstract
Constructed wetlands (CWs) can play a crucial role in treating wastewater, and in the context of this study, the distillation byproduct of the whisky industry known as 'spent lees'. Here, we assess several different CW substrates (pea gravel, LECA and Alfagrog), with and without the addition of 20% biochar, in mesocosms set up to treat spent lees. Among the substrates tested, LECA + biochar and gravel + biochar showed promising results, with greater dissolved copper (dissCu) reduction, chemical oxygen demand (COD) removal, organic carbon (OC) reduction, and pH modulation. These findings indicate a potentially beneficial role for biochar in enhancing treatment efficacy, particularly in facilitating dissCu remediation and the removal of organic pollutants. In terms of microbial diversity, mesocosms including biochar generally had reduced bacterial alpha diversity, suggesting that 'fresh' (uncolonized) biochar may negatively affect microbial diversity in wetland ecosystems in the short term. After continuously supplying spent lees to mesocosms for 2-months, microbial diversity in each mesocosm dropped substantially, and moderate levels of bacterial community differentiation and high levels of fungal community differentiation were detected among mesocosms. The bacterial and fungal communities were also found to differ between the substrate and outlet water samples. Among the bacterial classes present in the mesocosms that may play a crucial role in water treatment performance, Gammaproteobacteria, Bacteroidia and Alphaproteobacteria should be further investigated. In terms of fungal classes, the role of Sordariomycetes should be explored in greater depth., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.)
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- 2024
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34. The utility of whole-genome sequencing to identify likely transmission pairs for pathogens with slow and variable evolution.
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Wood AJ, Benton CH, Delahay RJ, Marion G, Palkopoulou E, Pooley CM, Smith GC, and Kao RR
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- Animals, Cattle, Mustelidae, Evolution, Molecular, Whole Genome Sequencing, Tuberculosis, Bovine transmission, Tuberculosis, Bovine epidemiology, Mycobacterium bovis genetics
- Abstract
Pathogen whole-genome sequencing (WGS) has been used to track the transmission of infectious diseases in extraordinary detail, especially for pathogens that undergo fast and steady evolution, as is the case with many RNA viruses. However, for other pathogens evolution is less predictable, making interpretation of these data to inform our understanding of their epidemiology more challenging and the value of densely collected pathogen genome data uncertain. Here, we assess the utility of WGS for one such pathogen, in the "who-infected-whom" identification problem. We study samples from hosts (130 cattle, 111 badgers) with confirmed infection of M. bovis (causing bovine Tuberculosis), which has an estimated clock rate as slow as ∼0.1-1 variations per year. For each potential pathway between hosts, we calculate the relative likelihood that such a transmission event occurred. This is informed by an epidemiological model of transmission, and host life history data. By including WGS data, we shrink the number of plausible pathways significantly, relative to those deemed likely on the basis of life history data alone. Despite our uncertainty relating to the evolution of M. bovis, the WGS data are therefore a valuable adjunct to epidemiological investigations, especially for wildlife species whose life history data are sparse., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024. Published by Elsevier B.V.)
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- 2024
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35. Dilution of broiler breeder diets with oat hulls prolongs feeding but does not affect central control of appetite.
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Dixon LM, Brocklehurst S, Hills J, Foister S, Wilson PW, Reid AMA, Caughey S, Sandilands V, Boswell T, Dunn IC, and D'Eath RB
- Abstract
The parents of broiler (meat) chickens (ie, broiler breeders) are food-restricted until sexual maturity, ensuring good health and reproduction, but resulting in hunger. We investigated whether diets with added insoluble fiber promote satiety and reduce behavioral, motivational, and physiological signs of hunger. Ninety-six broiler breeders were fed 1 of 4 feed treatments (n = 24 per diet) from 6 to 12 wk of age: 1) a commercial diet fed to the recommended ration (R) or 2) ad libitum (AL), the same diet as R but mixed with oat hulls at 3) 20% (OH20%) or 4) 40% (OH40%). The R, OH20% and OH40% diets were approximately iso-energetic and resulted in mean 12 wk of age weights within 2.5% of each other (1.21 kg), while AL birds weighed 221% as much (2.67kg). At 12 wk of age, agouti-related protein (AGRP) expression, was, on average, more than 12 times lower in AL birds (P < 0.001) but did not differ between the fiber diet treatments and R. Pro-opiomelanocortin (POMC) expression, was, on average, over 1.5 times higher in AL birds, but was not statistically significantly affected by feed treatments (P = 0.33). In their home pens, AL birds stood/sat more, foraged less and fed more in total (P < 0.001) and OH40% birds spent longer feeding than R (P = 0.001). Motivation to forage tested by willingness to walk through water to access an area of wood shavings (without food) was not significantly affected by diet (P = 0.33). However, restricted birds were willing to cross in only 7.3% to 12.5% of tests. Mostly birds stayed on the start platform, where AL birds sat more than other treatments and OH40% birds reduced walking relative to R birds (P = 0.016). Across the behavioral and physiological measurements there was a dichotomy of effects in response to approximately iso-energetic diets differing in fiber. There were some potentially beneficial behavioral effects related to reduced foraging and walking. However, there was no evidence that these diets significantly improved physiological measures of satiety of broiler breeders., Competing Interests: DISCLOSURES The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Laura Dixon reports financial support was provided by Biotechnology and Biological Sciences Research Council. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)
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- 2024
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36. A Standardized Pipeline for Assembly and Annotation of African Swine Fever Virus Genome.
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Spinard E, Dinhobl M, Erdelyan CNG, O'Dwyer J, Fenster J, Birtley H, Tesler N, Calvelage S, Leijon M, Steinaa L, O'Donnell V, Blome S, Bastos A, Ramirez-Medina E, Lacasta A, Ståhl K, Qiu H, Nilubol D, Tennakoon C, Maesembe C, Faburay B, Ambagala A, Williams D, Ribeca P, Borca MV, and Gladue DP
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- Animals, Swine, Sequence Analysis, DNA methods, Computational Biology methods, African Swine Fever Virus genetics, African Swine Fever Virus classification, African Swine Fever Virus isolation & purification, Genome, Viral, High-Throughput Nucleotide Sequencing methods, African Swine Fever virology, Molecular Sequence Annotation
- Abstract
Obtaining a complete good-quality sequence and annotation for the long double-stranded DNA genome of the African swine fever virus (ASFV) from next-generation sequencing (NGS) technology has proven difficult, despite the increasing availability of reference genome sequences and the increasing affordability of NGS. A gap analysis conducted by the global African swine fever research alliance (GARA) partners identified that a standardized, automatic pipeline for NGS analysis was urgently needed, particularly for new outbreak strains. Whilst there are several diagnostic and research labs worldwide that collect isolates of the ASFV from outbreaks, many do not have the capability to analyze, annotate, and format NGS data from outbreaks for submission to NCBI, and some publicly available ASFV genomes have missing or incorrect annotations. We developed an automated, standardized pipeline for the analysis of NGS reads that directly provides users with assemblies and annotations formatted for their submission to NCBI. This pipeline is freely available on GitHub and has been tested through the GARA partners by examining two previously sequenced ASFV genomes; this study also aimed to assess the accuracy and limitations of two strategies present within the pipeline: reference-based (Illumina reads) and de novo assembly (Illumina and Nanopore reads) strategies.
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- 2024
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37. Maternal α-casein deficiency extends the lifespan of offspring and programmes their body composition.
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Kolb AF, Mayer C, Zitskaja A, Petrie L, Hasaballah K, Warren C, Carlisle A, Lillico S, and Whitelaw B
- Abstract
Early nutrition has significant effects on physiological outcomes during adult life. We have analysed the effect of maternal α-casein (CSN1S1) deficiency on the physiological fate of dams and their offspring. α-casein deficiency reduces maternal milk protein concentration by more than 50% and attenuates the growth of pups to 27% (p < 0.001) of controls at the point of weaning. This is associated with a permanent reduction in adult body weight (- 31% at 25 weeks). Offspring nursed by α-casein deficient dams showed a significantly increased lifespan (+ 20%, χ
2 : 10.6; p = 0.001). Liver transcriptome analysis of offspring nursed by α-casein deficient dams at weaning revealed gene expression patterns similar to those found in dwarf mice (reduced expression of somatotropic axis signalling genes, increased expression of xenobiotic metabolism genes). In adult mice, the expression of somatotropic axis genes returned to control levels. This demonstrates that, in contrast to dwarf mice, attenuation of the GH-IGF signalling axis in offspring nursed by α-casein deficient dams is transient, while the changes in body size and lifespan are permanent. Offspring nursed by α-casein deficient dams showed permanent changes in body composition. Absolute and relative adipose tissue weights (p < 0.05), the percentage of body fat (p < 0.001) as well as adipocyte size in epididymal white adipose tissue are all reduced. Serum leptin levels were 25% of those found in control mice (p < 0.001). Liver lipid content and lipid composition were significantly altered in response to postnatal nutrition. This demonstrates the nutrition in early life programmes adult lipid metabolism, body composition and lifespan., (© 2024. The Author(s).)- Published
- 2024
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38. Animal Behaviour Packs a Punch: From Parasitism to Production, Pollution and Prevention in Grazing Livestock.
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Smith LA, Fox NJ, Marion G, Booth NJ, Morris AMM, Athanasiadou S, and Hutchings MR
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Behaviour is often the fundamental driver of disease transmission, where behaviours of individuals can be seen to scale up to epidemiological patterns seen at the population level. Here we focus on animal behaviour, and its role in parasite transmission to track its knock-on consequences for parasitism, production and pollution. Livestock face a nutrition versus parasitism trade-off in grazing environments where faeces creates both a nutritional benefit, fertilizing the surrounding sward, but also a parasite risk from infective nematode larvae contaminating the sward. The grazing decisions of ruminants depend on the perceived costs and benefits of the trade-off, which depend on the variations in both environmental (e.g., amounts of faeces) and animal factors (e.g., physiological state). Such grazing decisions determine the intake of both nutrients and parasites, affecting livestock growth rates and production efficiency. This impacts on the greenhouse gas costs of ruminant livestock production via two main mechanisms: (1) slower growth results in longer durations on-farm and (2) parasitised animals produce more methane per unit food intake. However, the sensitivity of behaviour to host parasite state offers opportunities for early detection of parasitism and control. Remote monitoring technology such as accelerometers can detect parasite-induced sickness behaviours soon after exposure, before impacts on growth, and thus may be used for targeting individuals for early treatment. We conclude that livestock host x parasite interactions are at the centre of the global challenges of food security and climate change, and that understanding livestock behaviour can contribute to solving both.
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- 2024
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39. Factors affecting severity of wildfires in Scottish heathlands and blanket bogs.
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Naszarkowski NAL, Cornulier T, Woodin SJ, Ross LC, Hester AJ, and Pakeman RJ
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- Scotland, Wetlands, Weather, Wildfires, Environmental Monitoring, Ecosystem
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Temperate heathlands and blanket bogs are globally rare and face growing wildfire threats. Ecosystem impacts differ between low and high severity fires, where severity reflects immediate fuel consumption. This study assessed factors influencing fire severity in Scottish heathlands and blanket bogs, including the efficacy of the Canadian Fire Weather Index System (CFWIS). Using remote sensing, we measured the differenced Normalised Burn Ratio at 92 wildfire sites from 2015 to 2021. We used Generalised Additive Mixed Models to investigate the impact of topography, habitat wetness, CFWIS components and 30-day weather on severity. Dry heath exhibited higher severity than wet heath and blanket bog, and slope, elevation and south facing aspect were positively correlated to severity. Weather effects were less clear due to data scale differences, yet still indicated weather's significant role in severity. Rainfall had an increasingly negative effect from approximately 15 days before the fire, whilst temperature had an increasingly positive effect. Vapour Pressure Deficit (VPD) was the weather variable with highest explanatory value, and predicted severity better than any CFWIS component. The best-explained fire severity model (R
2 = 0.25) incorporated topography, habitat wetness wind and VPD on the day of the fire. The Drought Code (DC), predicting organic matter flammability at ≥10 cm soil depth, was the CFWIS component with the highest predictive effect across habitats. Our findings suggest that wildfires in wet heath and blanket bogs are typically characterised by low severity, but that warmer, drier weather may increase the risk of severe, smouldering fires which threaten peatland carbon stores., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)- Published
- 2024
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40. Characterisation of protective vaccine antigens from the thiol-containing components of excretory/secretory material of Ostertagia ostertagi.
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Price DRG, Steele P, Frew D, McLean K, Androscuk D, Geldhof P, Borloo J, Albaladejo JP, Nisbet AJ, and McNeilly TN
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- Animals, Ostertagiasis veterinary, Ostertagiasis prevention & control, Ostertagiasis immunology, Sulfhydryl Compounds, Feces parasitology, Proteomics, Parasite Egg Count veterinary, Ostertagia immunology, Vaccines immunology, Antigens, Helminth immunology
- Abstract
Previous vaccination trials have demonstrated that thiol proteins affinity purified from Ostertagia ostertagi excretory-secretory products (O. ostertagi ES-thiol) are protective against homologous challenge. Here we have shown that protection induced by this vaccine was consistent across four independent vaccine-challenge experiments. Protection is associated with reduced cumulative faecal egg counts across the duration of the trials, relative to control animals. To better understand the diversity of antigens in O. ostertagi ES-thiol we used high-resolution shotgun proteomics to identify 490 unique proteins in the vaccine preparation. The most numerous ES-thiol proteins, with 91 proteins identified, belong to the sperm-coating protein/Tpx/antigen 5/pathogenesis-related protein 1 (SCP/TAPS) family. This family includes previously identified O. ostertagi vaccine antigens O. ostertagi ASP-1 and ASP-2. The ES-thiol fraction also has numerous proteinases, representing three distinct classes, including: metallo-; aspartyl- and cysteine proteinases. In terms of number of family members, the M12 astacin-like metalloproteinases, with 33 proteins, are the most abundant proteinase family in O. ostertagi ES-thiol. The O. ostertagi ES-thiol proteome provides a comprehensive database of proteins present in this vaccine preparation and will guide future vaccine antigen discovery projects., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Crown Copyright © 2024. Published by Elsevier B.V. All rights reserved.)
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- 2024
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41. Frequent Dietary Multi-Mycotoxin Exposure in UK Children and Its Association with Dietary Intake.
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Charusalaipong P, Gordon MJ, Cantlay L, De Souza N, Horgan GW, Bates R, and Gratz SW
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- Humans, Male, Female, Child, Child, Preschool, United Kingdom, Biological Monitoring, Diet, Mycotoxins urine, Mycotoxins analysis, Dietary Exposure analysis, Food Contamination analysis
- Abstract
Mycotoxins are potent fungal toxins that frequently contaminate agricultural crops and foods. Mycotoxin exposure is frequently reported in humans, and children are known to be particularly at risk of exceeding safe levels of exposure. Urinary biomonitoring is used to assess overall dietary exposure to multiple mycotoxins. This study aims to quantify multi-mycotoxin exposure in UK children and to identify major food groups contributing to exposure. Four repeat urine samples were collected from 29 children (13 boys and 16 girls, aged 2.4-6.8 years), and food diaries were recorded to assess their exposure to eleven mycotoxins. Urine samples ( n = 114) were hydrolysed with β-glucuronidase, enriched through immunoaffinity columns and analysed by LC-MS/MS for deoxynivalenol (DON), nivalenol (NIV), T-2/HT-2 toxins, zearalenone (ZEN), ochratoxin A (OTA) and aflatoxins. Food diaries were analysed using WinDiet software, and the daily intake of high-risk foods for mycotoxin contamination summarised. The most prevalent mycotoxins found in urine samples were DON (95.6% of all samples), OTA (88.6%), HT-2 toxin (53.5%), ZEN (48.2%) and NIV (26.3%). Intake of total cereal-based foods was strongly positively associated with urinary levels of DON and T-2/HT-2 and oat intake with urinary T-2/HT-2. Average daily mycotoxin excretion ranged from 12.10 µg/d (DON) to 0.03 µg/d (OTA), and co-exposure to three or more mycotoxins was found in 66% of samples. Comparing mycotoxin intake estimates to tolerable daily intakes (TDI) demonstrates frequent TDI exceedances (DON 34.2% of all samples, T-2/HT-2 14.9%, NIV 4.4% and ZEN 5.2%). OTA was frequently detected at low levels. When mean daily OTA intake was compared to the reference value for non-neoplastic lesions, the resulting Margin of Exposure (MoE) of 65 was narrow, indicating a health concern. In conclusion, this study demonstrates frequent exposure of UK children to multiple mycotoxins at levels high enough to pose a health concern if exposure is continuous.
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- 2024
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42. Factors contributing to high performance of sows in free farrowing systems.
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Baxter EM, Bowers N, King R, Brocklehurst S, and Edwards SA
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Background: Pressure to abolish farrowing crates is increasing, and producers are faced with decisions about which alternative system to adopt. For sow welfare, well designed free farrowing systems without close confinement are considered optimal but producers have concerns about increased piglet mortality, particularly crushing by the sow. Reporting accurate performance figures from commercial farms newly operating such systems could inform the transition process. This study investigated performance on three commercial farms operating four different zero-confinement systems, three of which were newly installed. A total of 3212 litters from 2920 sows were followed from farrowing to weaning over a three-year period with key performance indicators (KPIs) recorded. Mixed Models (LMMs, GLMMs) determined the influence of different factors (e.g. farrowing system, sow parity, management aspects) and litter characteristics on performance, including levels and causes of piglet mortality., Results: Piglet mortality was significantly influenced by farm/system. Live-born mortality ranged from 10.3 to 20.6% with stillbirths ranging from 2.5 to 5.9%. A larger litter size and higher parity resulted in higher levels of mortality regardless of system. In all systems, crushing was the main cause of piglet mortality (59%), but 31% of sows did not crush any piglets, whilst 26% crushed only one piglet and the remaining sows (43%) crushed two or more piglets. System significantly influenced crushing as a percentage of all deaths, with the system with the smallest spatial footprint (m
2 ) compared to the other systems, recording the highest levels of crushing. Time from the start of the study influenced mortality, with significant reductions in crushing mortality (by ~ 4%) over the course of the three-year study. There was a highly significant effect of length of time (days) between moving sows into the farrowing accommodation and sows farrowing on piglet mortality (P < 0.001). The less time between sows moving in and farrowing, the higher the levels of piglet mortality, with ~ 3% increase in total mortality every five days. System effects were highly significant after adjusting for parity, litter size, and days pre-farrowing., Conclusion: These results from commercial farms demonstrate that even sows that have not been specifically selected for free farrowing are able, in many cases, to perform well in these zero-confinement systems, but that a period of adaptation is to be expected for overall farm performance. There are performance differences between the farms/systems which can be attributed to individual farm/system characteristics (e.g. pen design and management, staff expertise, pig genotypes, etc.). Higher parity sows and those producing very large litters provide a greater challenge to piglet mortality in these free farrowing systems (just as they do in crate systems). Management significantly influences performance, and ensuring sows have plenty of time to acclimatise between moving in to farrowing accommodation and giving birth is a critical aspect of improving piglet survival., (© 2024. The Author(s).)- Published
- 2024
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43. Evaluation of species-specific polyclonal antibodies to detect and differentiate between Neospora caninum and Toxoplasma gondii .
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Lepore T, Macrae AI, Cantón GJ, Cantile C, Martineau HM, Palarea-Albaladejo J, Cahalan S, Underwood C, Katzer F, and Chianini F
- Subjects
- Animals, Rabbits, Sheep, Species Specificity, Sheep Diseases diagnosis, Sheep Diseases parasitology, Immunohistochemistry veterinary, Cattle Diseases diagnosis, Cattle Diseases parasitology, Sensitivity and Specificity, Cattle, Neospora immunology, Neospora isolation & purification, Toxoplasma immunology, Coccidiosis veterinary, Coccidiosis diagnosis, Coccidiosis parasitology, Toxoplasmosis, Animal diagnosis, Toxoplasmosis, Animal parasitology, Antibodies, Protozoan blood
- Abstract
Neosporosis and toxoplasmosis are major causes of abortion in livestock worldwide, leading to substantial economic losses. Detection tools are fundamental to the diagnosis and management of those diseases. Current immunohistochemistry (IHC) tests, using sera raised against whole parasite lysates, have not been able to distinguish between Toxoplasma gondii and Neospora caninum. We used T. gondii and N. caninum recombinant proteins, expressed in Escherichia coli and purified using insoluble conditions, to produce specific polyclonal rabbit antisera. We aimed to develop species-specific sera that could be used in IHC on formalin-fixed, paraffin-embedded (FFPE) tissue sections to improve the diagnosis of ruminant abortions caused by protozoa. Two polyclonal rabbit sera, raised against recombinant proteins, anti- Neospora -rNcSRS2 and anti- Toxoplasma -rTgSRS2, had specificity for the parasite they were raised against. We tested the specificity for each polyclonal serum using FFPE tissue sections known to be infected with T. gondii and N. caninum . The anti- Neospora -rNcSRS2 serum labeled specifically only N. caninum- infected tissue blocks, and the anti- Toxoplasma -rTgSRS2 serum was specific to only T. gondii- infected tissues. Moreover, tissues from 52 cattle and 19 sheep previously diagnosed by lesion profiles were tested using IHC with our polyclonal sera and PCR. The overall agreement between IHC and PCR was 90.1% for both polyclonal anti-rNcSRS2 and anti-rTgSRS2 sera. The polyclonal antisera were specific and allowed visual confirmation of protozoan parasites by IHC, but they were not as sensitive as PCR testing., Competing Interests: Declaration of conflicting interestsThe authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
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- 2024
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44. Presence of phage-plasmids in multiple serovars of Salmonella enterica .
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Nair S, Barker CR, Bird M, Greig DR, Collins C, Painset A, Chattaway M, Pickard D, Larkin L, Gharbia S, Didelot X, and Ribeca P
- Subjects
- Salmonella Infections microbiology, Bacteriophages genetics, Bacteriophages classification, Salmonella Phages genetics, Salmonella Phages classification, Humans, Phylogeny, Gene Transfer, Horizontal, Retrospective Studies, Plasmids genetics, Salmonella enterica virology, Salmonella enterica genetics, Serogroup
- Abstract
Evidence is accumulating in the literature that the horizontal spread of antimicrobial resistance (AMR) genes mediated by bacteriophages and bacteriophage-like plasmid (phage-plasmid) elements is much more common than previously envisioned. For instance, we recently identified and characterized a circular P1-like phage-plasmid harbouring a bla
CTX-M-15 serovar Typhi. As the prevalence and epidemiological relevance of such mechanisms has never been systematically assessed in Salmonella enterica serovar Typhi. As the prevalence and epidemiological relevance of such mechanisms has never been systematically assessed in Enterobacterales isolates previously sequenced as part of routine surveillance protocols between 2016 and 2021. Using a high-throughput bioinformatics pipeline we screened 47 784 isolates for the presence of the P1 lytic replication gene Salmonella , identifying 226 positive isolates from 25 serovars and demonstrating that phage-plasmid elements are more frequent than previously thought. The affinity for phage-plasmids appears highly serovar-dependent, with several serovars being more likely hosts than others; most of the positive isolates (170/226) belonged to repL . Typhimurium ST34 and ST19. The phage-plasmids ranged between 85.8 and 98.2 kb in size, with an average length of 92.1 kb; detailed analysis indicated a high amount of diversity in gene content and genomic architecture. In total, 132 phage-plasmids had the p0111 plasmid replication type, and 94 the IncY type; phylogenetic analysis indicated that both horizontal and vertical gene transmission mechanisms are likely to be involved in phage-plasmid propagation. Finally, phage-plasmids were present in isolates that were resistant and non-resistant to antimicrobials. In addition to providing a first comprehensive view of the presence of phage-plasmids in S , our work highlights the need for a better surveillance and understanding of phage-plasmids as AMR carriers, especially through their characterization with long-read sequencing.Salmonella , our work highlights the need for a better surveillance and understanding of phage-plasmids as AMR carriers, especially through their characterization with long-read sequencing.- Published
- 2024
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45. Author Correction: Stakeholder-driven transformative adaptation is needed for climate-smart nutrition security in sub-Saharan Africa.
- Author
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Jennings S, Challinor A, Smith P, Macdiarmid JI, Pope E, Chapman S, Bradshaw C, Clark H, Vetter S, Fitton N, King R, Mwamakamba S, Madzivhandila T, Mashingaidze I, Chomba C, Nawiko M, Nyhodo B, Mazibuko N, Yeki P, Kuwali P, Kambwiri A, Kazi V, Kiama A, Songole A, Coskeran H, Quinn C, Sallu S, Dougill A, Whitfield S, Kunin B, Meebelo N, Jamali A, Kantande D, Makundi P, Mbungu W, Kayula F, Walker S, Zimba S, Galani Yamdeu JH, Kapulu N, Galdos MV, Eze S, Tripathi H, Sait S, Kepinski S, Likoya E, Greathead H, Smith HE, Mahop MT, Harwatt H, Muzammil M, Horgan G, and Benton T
- Published
- 2024
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46. Sequencing and Analysis of Lumpy Skin Disease Virus Whole Genomes Reveals a New Viral Subgroup in West and Central Africa.
- Author
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Haga IR, Shih BB, Tore G, Polo N, Ribeca P, Gombo-Ochir D, Shura G, Tserenchimed T, Enkhbold B, Purevtseren D, Ulziibat G, Damdinjav B, Yimer L, Bari FD, Gizaw D, Adedeji AJ, Atai RB, Adole JA, Dogonyaro BB, Kumarawadu PL, Batten C, Corla A, Freimanis GL, Tennakoon C, Law A, Lycett S, Downing T, and Beard PM
- Subjects
- Animals, Cattle, Africa, Central epidemiology, Africa, Western epidemiology, Disease Outbreaks, Lumpy skin disease virus genetics, Lumpy skin disease virus classification, Lumpy skin disease virus isolation & purification, Genome, Viral, Lumpy Skin Disease virology, Lumpy Skin Disease epidemiology, Phylogeny, Whole Genome Sequencing
- Abstract
Lumpy skin disease virus (LSDV) is a member of the capripoxvirus (CPPV) genus of the Poxviridae family. LSDV is a rapidly emerging, high-consequence pathogen of cattle, recently spreading from Africa and the Middle East into Europe and Asia. We have sequenced the whole genome of historical LSDV isolates from the Pirbright Institute virus archive, and field isolates from recent disease outbreaks in Sri Lanka, Mongolia, Nigeria and Ethiopia. These genome sequences were compared to published genomes and classified into different subgroups. Two subgroups contained vaccine or vaccine-like samples ("Neethling-like" clade 1.1 and "Kenya-like" subgroup, clade 1.2.2). One subgroup was associated with outbreaks of LSD in the Middle East/Europe (clade 1.2.1) and a previously unreported subgroup originated from cases of LSD in west and central Africa (clade 1.2.3). Isolates were also identified that contained a mix of genes from both wildtype and vaccine samples (vaccine-like recombinants, grouped in clade 2). Whole genome sequencing and analysis of LSDV strains isolated from different regions of Africa, Europe and Asia have provided new knowledge of the drivers of LSDV emergence, and will inform future disease control strategies.
- Published
- 2024
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47. Refugia, climatic conditions and farm management factors as drivers of adaptation in Nematodirus battus populations.
- Author
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Melville LA, Innocent G, Dijk JV, Mitchell S, and Bartley DJ
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- Animals, Sheep, Farms, Refugium, Ovum, Sheep, Domestic, Parasite Egg Count veterinary, Feces parasitology, Nematodirus genetics, Strongylida Infections epidemiology, Strongylida Infections veterinary, Strongylida Infections parasitology, Sheep Diseases epidemiology, Sheep Diseases prevention & control, Sheep Diseases parasitology
- Abstract
Parasites are known for their ability to rapidly adapt to changing conditions. For parasitic helminths, changes in climate, along with farming and management practices associated with the intensification of livestock farming, provide novel challenges which can impact on their epidemiology and control. The sustainability of livestock production partially relies on effective control of helminth infection. Therefore, understanding changes in parasite behaviour, and what drives these, is of great importance. Nematodirus battus is an economically important helminth in the UK and temperate regions. Its infective larvae typically overwinter in eggs on pasture and hatch synchronously in spring, causing acute disease in lambs. Attempts to control disease typically rely on whole-flock benzimidazole (BZ) treatments. In recent years, the emergence of BZ-resistance, alongside the hatching of eggs without the classical over-winter 'chill stimulus', have made N. battus more difficult to control. In three previous studies, after collecting a large number of N. battus populations alongside farm management data from commercial farms, we explored the prevalence of genetic mutations associated with BZ-resistance (n = 253 farms), the ability of eggs to hatch with and without a chill stimulus (n = 90 farms) and how farm management practices varied throughout the UK (n = 187 farms). In the present study, we identify factors which may be acting as drivers, or barriers, to either the development of resistance or the variable hatching behaviour of N. battus eggs. Generalised linear mixed effect models were applied to regress experimental hatching and genotyping data on farm management and additional environmental data. Both variable hatching and resistance development appeared associated with the maintenance of parasite refugia as well as grazing management, particularly reseeding of pasture routinely grazed by young lambs each spring and the practice of set-stocked grazing. Effective quarantine measures were identified as the main protective factor for the development of BZ-resistance whereas set stocked grazing and population bottlenecks, resulting from reseeding heavily contaminated pastures, were risk factors. Spring maximum temperature and other climatic factors were associated with 'typical' hatching of eggs following a chill stimulus whilst several management factors were linked with hatching without prior chilling. For example, practices which reduce parasite numbers on pasture (e.g. re-seeding) or restrict availability of hosts (e.g. resting fields), were found to increase the odds of non-chill hatching. Retention of the timing of lambing and infection level of the host within the fitted model indicated that requirement for a chill stimulus prior to hatching may be plastic, perhaps subject to change throughout the grazing season, in response to immune development or parasite density-dependence within the host. Further investigation of the influence of the factors retained within the fitted models, particularly the theme of parasite refugia which was highlighted in relation to both the presence of BZ-resistance alleles and alternative hatching, is required to establish robust, sustainable parasite control and farm management strategies., Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)
- Published
- 2024
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48. Epigenetic studies in children at risk of stunting and their parents in India, Indonesia and Senegal: a UKRI GCRF Action Against Stunting Hub protocol paper.
- Author
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Ramsteijn AS, Ndiaye M, Kalashikam RR, Htet MK, Yadav Dm D, Augustine LF, Zahra NL, Djigal A, Yanti D, Angelin TC, Nurfadilah M, Gorre M, Subrahamanyam D, Vadakattu SS, Munikumar M, Horgan GW, Fahmida U, Faye B, Kulkarni B, and Haggarty P
- Subjects
- Infant, Child, Female, Humans, Child, Preschool, Indonesia epidemiology, Senegal, Nutritional Status, Observational Studies as Topic, Growth Disorders epidemiology, Growth Disorders genetics, Growth Disorders prevention & control, Mothers
- Abstract
Introduction: In 2020, an estimated 150 million children under the age of 5 years were stunted. Stunting results from early-life adversity and it is associated with significant physical and cognitive deficit, lifelong socioeconomic disadvantage and reduced life expectancy. There is a need to understand the causes of stunting and its effects in order to develop strategies to avoid it and to mitigate the consequences once stunting has occurred. Epigenetics is an important mechanism through which early-life factors are thought to influence biological function, with long-term consequences. We describe a series of epigenetic studies designed to understand how early-life adversity results in stunting and to inform the development of practical tools such as predictive markers and therapeutic targets. This work is part of the UKRI GCRF Action Against Stunting Hub., Methods and Analysis: The project-in India, Indonesia and Senegal-comprises an observational study of mothers, fathers, and offspring (n=500) spanning the first 1000 days of life, and an intervention study in each country. Epigenetic status (DNA methylation) is determined in saliva from babies collected within 1 month of birth and again at 18 months of age, and from mothers and fathers around the time of birth. Epigenome-wide analysis is carried out using the Illumina EPIC array, augmented by high-definition sequencing approaches. Statistical analysis is carried out at the level of candidate genes/regions, higher dimensional epigenetic states and epigenome-wide association. Data analysis focuses on the determinants of stunting, the effectiveness of interventions, population comparisons and the link between epigenetics and other thematic areas, which include anthropometry, microbiome, gut health, parasitology, cognition, nutrition, food hygiene and water sanitation, food systems and the home environment., Ethics and Dissemination: This study has been approved by the relevant Ethics Committees in Indonesia, India and Senegal, and the UK. Research data will be published and posted in public repositories., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. Re-use permitted under CC BY. Published by BMJ.)
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- 2024
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49. Bovine mortality: the utility of two data sources for the provision of population-level surveillance intelligence.
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Eze JI, Correia-Gomes C, Gunn GJ, and Tongue SC
- Abstract
Introduction: The use of existing data to provide surveillance intelligence is widely advocated but often presents considerable challenges. Two data sources could be used as proxies for the mortality experienced by the Scottish cattle population: deaths recorded in the mandatory register [Cattle Tracing System (CTS)] and fallen stock collections by the National Fallen Stock Company (NSFCo) with a nationwide voluntary membership., Methods: Data for the period 2011-2016 were described and compared to establish their strengths and limitations. Similarities and differences in their temporal, seasonal and spatial patterns were examined overall, at postcode area level and for different age groups. Temporal aberration detection algorithms (TADA) were fitted., Results: Broadly, similar patterns were observed in the two datasets; however, there were some notable differences. The observed seasonal, annual and spatial patterns match expectations, given knowledge of Scottish cattle production systems. The registry data provide more comprehensive coverage of all areas of Scotland, while collections data provide a more comprehensive measure of the mortality experienced in 0-1-month-old calves., Discussion: Consequently, estimates of early calf mortality and their impact on the livestock sector made using CTS, or successor registers, will be under-estimates. This may apply to other registry-based systems. Fitted TADA detected points of deviations from expected norms some of which coincided in the two datasets; one with a known external event that caused increased mortality. We have demonstrated that both data sources do have the potential to be utilized to provide measures of mortality in the Scottish cattle population that could inform surveillance activities. While neither is perfect, they are complementary. Each has strengths and weaknesses, so ideally, a system where they are analyzed and interpreted in parallel would optimize the information obtained for surveillance purposes for epidemiologists, risk managers, animal health policy-makers and the wider livestock industry sector. This study provides a foundation on which to build an operational system. Further development will require improvements in the timeliness of data availability and further investment of resources., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Eze, Correia-Gomes, Gunn and Tongue.)
- Published
- 2024
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50. Validation of a multiplex-tandem RT-PCR for the detection of bovine respiratory disease complex using Scottish bovine lung samples.
- Author
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Fergusson M, Maley M, Geraghty T, Albaladejo JP, Mason C, and Rocchi MS
- Subjects
- Cattle, Animals, Reverse Transcriptase Polymerase Chain Reaction veterinary, Lung, Anti-Bacterial Agents, Scotland, Bovine Respiratory Disease Complex diagnosis, Cattle Diseases diagnosis
- Abstract
The welfare and economic impact of bovine respiratory disease complex (BRDC), and its associated antibiotic usage, are major challenges to cattle rearing and beef cattle finishing industries. Accurate pathogen diagnosis is important to undertake appropriate treatment and long-term management strategies, such as vaccine selection. Conventional diagnostic approaches have several limitations including high costs, long turnaround times and difficulty in test interpretation, which could delay treatment decisions and lead to unnecessary animal losses. We describe the validation of a multiplex-tandem (MT) reverse transcription-polymerase chain reaction (RT-PCR) for the detection of seven common pathogens associated with BRDC. This test has the potential to advance pathogen identification and to overcome many of the limitations of current testing methods. It requires a single sample and results are obtained quickly and not influenced by prior antimicrobial therapy or overgrowth of contaminating organisms. We demonstrated a test specificity of 100% and sensitivity ranging from 93.5% to 100% for these seven common pathogens. This test will be a useful addition to advance BRDC investigation and diagnosis., Competing Interests: Declaration of Competing Interest None of the authors has any financial or personal relationships that could inappropriately influence or bias the content of the paper. Ausdiagnostic played no role in the above study design nor in the collection, analysis and interpretation of data of the field validation, or in the decision to submit the manuscript for publication., (Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.)
- Published
- 2024
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