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1. Weight change in middle adulthood and risk of cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort

Author

Amanda J. Cross, Kristin Benjaminsen Borch, Renée T. Fortner, Vittorio Simeon, Paul Brennan, Guri Skeie, Elio Riboli, Rosario Tumino, Elisabete Weiderpass, Gianluca Severi, Carlotta Sacerdote, Kim Overvad, Manuela M. Bergmann, Isabel Drake, Sara Grioni, Panagiota Pagoni, Giovanna Masala, Pietro Ferrari, Heinz Freisling, Matthias B. Schulze, Maria Dolores Chirlaque, Pilar Amiano, Mattias Johansson, Ioanna Tzoulaki, Konstantinos K. Tsilidis, Timothy J. Key, J. Ramón Quirós, Eva Ardanaz, Antonio Agudo, Neil Murphy, Marie-Christine Boutron-Ruault, Christel Häggström, Sofia Christakoudi, Rudolf Kaaks, Merete Ellingjord-Dale, Sophia Harlid, Charlotta Rylander, Tanja Stocks, Anne Tjønneland, Fanny Artaud, Laure Dossus, Jytte Halkjær, Miguel Rodríguez-Barranco, Aurora Perez-Cornago, David C. Muller, Centre International de Recherche contre le Cancer - International Agency for Research on Cancer (CIRC - IARC), Organisation Mondiale de la Santé / World Health Organization Office (OMS / WHO), Centre de recherche en épidémiologie et santé des populations (CESP), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay, Kræftens Bekæmpelse, DCS German Cancer Research Center, DKFZ Centre International de Recherche sur le Cancer, CIRC National Research Council, NRC Medical Research Council, MRC: MC_UU_00011/6, MR/M012190/1 Cancer Research UK, CRUK: C570/A16491, C8221/A19170 World Cancer Research Fund, WCRF European Commission, EC Institut National de la Santé et de la Recherche Médicale, Inserm Bundesministerium für Bildung und Forschung, BMBF Cancerfonden Ministerie van Volksgezondheid, Welzijn en Sport, VWS Ligue Contre le Cancer Vetenskapsrådet, VR Associazione Italiana per la Ricerca sul Cancro, AIRC Deutsche Krebshilfe Rijksinstituut voor Volksgezondheid en Milieu, RIVM Institut Gustave-Roussy Mutuelle Générale de l'Education Nationale, MGEN NIHR Imperial Biomedical Research Centre, BRC Fondation Gustave Roussy, The authors thank the National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands, for their contribution and ongoing support to the EPIC study. The coordination of EPIC is financially supported by the European Commission (DG-SANCO) and the International Agency for Research on Cancer. The national cohorts are supported by Danish Cancer Society (Kr?ftens Bek?mpelse) (Denmark), Ligue Contre le Cancer, Institut Gustave Roussy, Mutuelle G?n?rale de l'Education Nationale, Institut National de la Sant? et de la Recherche M?dicale (INSERM) (France), German Cancer Aid (Deutsche Krebshilfe), German Cancer Research Center (Deutsches Krebsforschungszentrum, DKFZ), Federal Ministry of Education and Research (Bundesministerium f?r Bildung und Forschung, BMBF) (Germany), Associazione Italiana per la Ricerca sul Cancro-AIRC-Italy and National Research Council (Italy), Dutch Ministry of Public Health, Welfare and Sports (VWS), Netherlands Cancer Registry (NKR), LK Research Funds, Dutch Prevention Funds, Dutch ZON (Zorg Onderzoek Nederland), World Cancer Research Fund (WCRF), Statistics Netherlands (The Netherlands), Health Research Fund (FIS-ISCIII), Regional Governments of Andaluc?a, Asturias, Basque Country, Murcia, Navarra, and the Catalan Institute of Oncology (Barcelona) (Spain), Swedish Cancer Society (Cancerfonden), Swedish Research Council (Vetenskapsr?det), County Councils of Sk?ne and V?sterbotten (Sweden), Cancer Research UK (C570/A16491 and C8221/A19170 to EPIC-Oxford), Medical Research Council (MR/M012190/1 to EPIC-Oxford) (United Kingdom). Panagiota Pagoni is funded by Medical Research Council (grant reference MC_UU_00011/6). Infrastructure support for the Department of Epidemiology and Biostatistics at Imperial College London (UK) was provided by the NIHR Imperial Biomedical Research Centre (BRC). The funders had no role in the design and conduct of the study, the collection, analysis and interpretation of the data, or the preparation, review and approval of the manuscript, or in the decision to submit the manuscript for publication., The authors thank the National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands, for their contribution and ongoing support to the EPIC study. The coordination of EPIC is financially supported by the European Commission (DG‐SANCO) and the International Agency for Research on Cancer. The national cohorts are supported by Danish Cancer Society (Kræftens Bekæmpelse) (Denmark), Ligue Contre le Cancer, Institut Gustave Roussy, Mutuelle Générale de l'Education Nationale, Institut National de la Santé et de la Recherche Médicale (INSERM) (France), German Cancer Aid (Deutsche Krebshilfe), German Cancer Research Center (Deutsches Krebsforschungszentrum, DKFZ), Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung, BMBF) (Germany), Associazione Italiana per la Ricerca sul Cancro‐AIRC‐Italy and National Research Council (Italy), Health Research Fund (FIS‐ISCIII), Regional Governments of Andalucía, Asturias, Basque Country, Murcia, Navarra, and the Catalan Institute of Oncology (Barcelona) (Spain), Swedish Cancer Society (Cancerfonden), Swedish Research Council (Vetenskapsrådet), County Councils of Skåne and Västerbotten (Sweden), Cancer Research UK (C570/A16491 and C8221/A19170 to EPIC‐Oxford), Medical Research Council (MR/M012190/1 to EPIC‐Oxford) (United Kingdom). Panagiota Pagoni is funded by Medical Research Council (grant reference MC_UU_00011/6). Infrastructure support for the Department of Epidemiology and Biostatistics at Imperial College London (UK) was provided by the NIHR Imperial Biomedical Research Centre (BRC). The funders had no role in the design and conduct of the study, the collection, analysis and interpretation of the data, or the preparation, review and approval of the manuscript, or in the decision to submit the manuscript for publication., Associazione Italiana per la Ricerca sul Cancro, Bundesministerium für Bildung und Forschung, Cancer Research UK, Grant/Award Numbers: C570/A16491, C8221/A19170, Cancerfonden, Catalan Institute of Oncology Barcelona, Centre International de Recherche sur le Cancer, County Council of Skåne Sweden, County Council of Västerbotten Sweden, Deutsche Krebshilfe, Deutsches Krebsforschungszentrum, Directorate‐General for Health and Consumers, Dutch Ministry of Public Health, Welfare and Sports (VWS), Dutch Prevention Funds, Dutch ZON (Zorg Onderzoek Nederland), Health Research Fund (FIS‐ISCIII) Spain, Institut Gustave‐Roussy, Institut National de la Santé et de la Recherche Médicale, Kræftens Bekæmpelse, Ligue Contre le Cancer, LK Research Funds, Medical Research Council, Grant/Award Numbers: MC_UU_00011/6, MR/M012190/1, Mutuelle Générale de l'Education Nationale, National Research Council Italy, Netherlands Cancer Registry, Regional Government of Andalucía, Regional Government of Asturias, Regional Government of Basque Country, Regional Government of Murcia, Regional Government of Navarra, Statistics Netherlands, Vetenskapsrådet, World Cancer Research Fund (WCRF), Institut Gustave Roussy, International Agency for Research on Cancer, European Commission (DG‐SANCO) Funding information, Christakoudi, S., Pagoni, P., Ferrari, P., Cross, A. J., Tzoulaki, I., Muller, D. C., Weiderpass, E., Freisling, H., Murphy, N., Dossus, L., Turzanski Fortner, R., Agudo, A., Overvad, K., Perez-Cornago, A., Key, T. J., Brennan, P., Johansson, M., Tjonneland, A., Halkjaer, J., Boutron-Ruault, M. -C., Artaud, F., Severi, G., Kaaks, R., Schulze, M. B., Bergmann, M. M., Masala, G., Grioni, S., Simeon, V., Tumino, R., Sacerdote, C., Skeie, G., Rylander, C., Borch, K. B., Quiros, J. R., Rodriguez-Barranco, M., Chirlaque, M. -D., Ardanaz, E., Amiano, P., Drake, I., Stocks, T., Haggstrom, C., Harlid, S., Ellingjord-Dale, M., Riboli, E., Tsilidis, K. K., and Cancer Research UK

Subjects
Male, Cancer Research, middle adulthood, Overweight, Body Mass Index, Cohort Studies, 0302 clinical medicine, Weight loss, Risk Factors, Neoplasms, Prospective Studies, Correlation of Data, 2. Zero hunger, Ovarian Neoplasms, Obstetrics, Hazard ratio, PROLIFERATION, WOMEN, weight gain, Middle Aged, Kidney Neoplasms, 3. Good health, European Prospective Investigation into Cancer and Nutrition, BMI change, Europe, Oncology, 030220 oncology & carcinogenesis, ddc:540, Female, SQUAMOUS-CELL CARCINOMA, medicine.symptom, Life Sciences & Biomedicine, EXPRESSION, medicine.medical_specialty, Breast Neoplasms, [SDV.CAN]Life Sciences [q-bio]/Cancer, 03 medical and health sciences, LEPTIN, FATNESS, medicine, Humans, cancer, 1112 Oncology and Carcinogenesis, Oncology & Carcinogenesis, Obesity, Risk factor, Proportional Hazards Models, Cancer och onkologi, Science & Technology, business.industry, Weight change, Endometrial Neoplasms, BODY-MASS INDEX, ESTROGEN-RECEPTORS, Pancreatic Neoplasms, Nutrition Assessment, Cancer and Oncology, Institut für Ernährungswissenschaft, GAIN, weight loss, business, Weight gain, Body mass index
Abstract

International audience; Obesity is a risk factor for several major cancers. Associations of weight change in middle adulthood with cancer risk, however, are less clear. We examined the association of change in weight and body mass index (BMI) category during middle adulthood with 42 cancers, using multivariable Cox proportional hazards models in the European Prospective Investigation into Cancer and Nutrition cohort. Of 241 323 participants (31% men), 20% lost and 32% gained weight (>0.4 to 5.0 kg/year) during 6.9 years (average). During 8.0 years of follow-up after the second weight assessment, 20 960 incident cancers were ascertained. Independent of baseline BMI, weight gain (per one kg/year increment) was positively associated with cancer of the corpus uteri (hazard ratio [HR] = 1.14; 95% confidence interval: 1.05-1.23). Compared to stable weight (±0.4 kg/year), weight gain (>0.4 to 5.0 kg/year) was positively associated with cancers of the gallbladder and bile ducts (HR = 1.41; 1.01-1.96), postmenopausal breast (HR = 1.08; 1.00-1.16) and thyroid (HR = 1.40; 1.04-1.90). Compared to maintaining normal weight, maintaining overweight or obese BMI (World Health Organisation categories) was positively associated with most obesity-related cancers. Compared to maintaining the baseline BMI category, weight gain to a higher BMI category was positively associated with cancers of the postmenopausal breast (HR = 1.19; 1.06-1.33), ovary (HR = 1.40; 1.04-1.91), corpus uteri (HR = 1.42; 1.06-1.91), kidney (HR = 1.80; 1.20-2.68) and pancreas in men (HR = 1.81; 1.11-2.95). Losing weight to a lower BMI category, however, was inversely associated with cancers of the corpus uteri (HR = 0.40; 0.23-0.69) and colon (HR = 0.69; 0.52-0.92). Our findings support avoiding weight gain and encouraging weight loss in middle adulthood.

Published
2021

2. NMR-based metabolomics highlights differences in plasma metabolites in pigs exhibiting diet-induced differences in adiposity

Author

Florence Gondret, Isabelle Louveau, Elisabeth Baéza, Illa Tea, Julie Lalande-Martin, Maëva Jégou, Physiologie, Environnement et Génétique pour l'Animal et les Systèmes d'Elevage [Rennes] (PEGASE), Institut National de la Recherche Agronomique (INRA)-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), Chimie Et Interdisciplinarité : Synthèse, Analyse, Modélisation (CEISAM), Université de Nantes - UFR des Sciences et des Techniques (UN UFR ST), Université de Nantes (UN)-Université de Nantes (UN)-Centre National de la Recherche Scientifique (CNRS)-Institut de Chimie du CNRS (INC), Unité de Recherches Avicoles (URA), Institut National de la Recherche Agronomique (INRA), Université de Nantes - Faculté des Sciences et des Techniques, Université de Nantes (UN)-Université de Nantes (UN)-Centre National de la Recherche Scientifique (CNRS), Recherches Avicoles (SRA), and AGROCAMPUS OUEST-Institut National de la Recherche Agronomique (INRA)

Subjects
0301 basic medicine, Blood Glucose, Dietary Fiber, Male, Leptin, Magnetic Resonance Spectroscopy, Swine, medicine.medical_treatment, [SDV]Life Sciences [q-bio], Protein metabolism, Medicine (miscellaneous), Adipose tissue, chemistry.chemical_compound, Insulin, Adiposity, 2. Zero hunger, Nutrition and Dietetics, 3-Hydroxybutyric Acid, Chemistry, High-fibre diet, 04 agricultural and veterinary sciences, Adipose Tissue, Creatinine, Amino acids, Energy source, medicine.medical_specialty, Proline, Phenylalanine, Fatness, Creatine, 03 medical and health sciences, NMR spectroscopy, Internal medicine, medicine, Animals, Metabolomics, Histidine, Triglycerides, Lysine, Body Weight, Cholesterol, HDL, 0402 animal and dairy science, Cholesterol, LDL, Lipid Metabolism, 040201 dairy & animal science, Animal Feed, Dietary Fats, Diet, 030104 developmental biology, Endocrinology, Urea, Linear Models, Tyrosine, Residual feed intake, Biomarkers
Abstract

Purpose : A better understanding of the control of body fat mass and distribution is required for both human health and animal production. The current study investigates plasma parameters in response to changes in body fat mass.[b]Methods[/b] : Pigs from two lines divergently selected for residual feed intake were fed diets contrasted in energy sources and nutrients. Between 74 and 132 days of age, pigs (n = 12 by diet and by line) received isoproteic and isoenergetic diets, either rich in starch (LF) or in lipids and fibres (HF). At the end of the feeding trial, plasma samples were analysed by 1H NMR spectroscopy and standard hormonal and biochemical assays.[b]Results[/b] : Pigs fed the HF diet had lower (P < 0.01) perirenal and subcutaneous adipose tissue relative masses than pigs fed the LF diet. Metabolomic approach showed a clear discrimination between diets, with lower (P < 0.05) plasma levels of creatinine-lysine, creatine, tyrosine, proline, histidine, lysine, phenylalanine and formate but higher (P < 0.001) plasma VLDL-LDL levels in HF pigs than in LF pigs. Plasma concentrations of triglycerides were higher (P < 0.001), while plasma concentrations of β-hydroxybutyrate, leptin, glucose, insulin and urea were lower (P ≤ 0.05) in HF pigs than in LF pigs. Plasma levels of leptin, creatine and urea were positively correlated (r = 0.3, P < 0.05) with relative adipose tissue masses.[b]Conclusion[/b] : These data indicate that metabolites associated with energy and protein metabolism were involved in the response to a high-fat, high-fibre diet. Relevant plasma indicators of metabolic flexibility related to changes in body adiposity were then proposed.

Published
2015

3. Fine mapping of fatness QTL on porcine chromosome X and analyses of three positional candidate genes

Author

Lusheng Huang, Beili Guo, Junwu Ma, Nathalie Iannuccelli, Yanyu Duan, Weibing Huang, Juliette Riquet, Jean Pierre Bidanel, Huanban Ma, Hélène Gilbert, Denis Milan, Laboratoire de Génétique Cellulaire (LGC), Institut National de la Recherche Agronomique (INRA)-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-Université Fédérale Toulouse Midi-Pyrénées, Key Laboratory for Animal Biotechnology of Jiangxi Province and the Ministry of Agriculture of China, Jiangxi Agricultural University (JXAU), Génétique Animale et Biologie Intégrative (GABI), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Ecole Nationale Vétérinaire de Toulouse (ENVT), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Recherche Agronomique (INRA), Huang, Lusheng, and Milan, Denis

Subjects
pig, [SDV.SA]Life Sciences [q-bio]/Agricultural sciences, Swine, Quantitative Trait Loci, Population, Single-nucleotide polymorphism, Quantitative trait locus, Biology, engraissement, Polymerase Chain Reaction, 03 medical and health sciences, Genetic linkage, Lipid biosynthesis, chromosome x, Genetics, Animals, porcin, Genetics(clinical), erhualian, meishan, education, Genetics (clinical), X chromosome, DNA Primers, 030304 developmental biology, 0303 health sciences, education.field_of_study, Base Sequence, qtl, race porcine meishan, Haplotype, 0402 animal and dairy science, x chromosome, food and beverages, 04 agricultural and veterinary sciences, 040201 dairy & animal science, fatness, White (mutation), Adipose Tissue, Haplotypes, coldspot, Research Article
Abstract

Background Porcine chromosome X harbors four QTL strongly affecting backfat thickness (BFT), ham weight (HW), intramuscular fat content (IMF) and loin eye area (LEA). The confidence intervals (CI) of these QTL overlap and span more than 30 cM, or approximately 80 Mb. This study therefore attempts to fine map these QTL by joint analysis of two large-scale F2 populations (Large White × Meishan and White Duroc × Erhualian constructed by INRA and JXAU respectively) and furthermore, to determine whether these QTL are caused by mutations in three positional candidate genes (ACSL4, SERPINA7 and IRS4) involved in lipid biosynthesis. Results A female-specific linkage map with an average distance of 2 cM between markers in the initial QTL interval (SW2456-SW1943) was created and used here. The CI of QTL for BFT, HW and LEA were narrowed down to 6–7 cM, resulting from the joint analysis. For IMF, two linked QTL were revealed in the INRA population but not in the JXAU population, causing a wider CI (13 cM) for IMF QTL. Linkage analyses using two subsets of INRA F1 dam families demonstrate that the BFT and HW QTL were segregating in the Meishan pigs. Moreover, haplotype comparisons between these dams suggest that within the refined QTL region, the recombination coldspot (~34 Mb) flanked by markers MCSE3F14 and UMNP1218 is unlikely to contain QTL genes. Two SNPs in the ACSL4 gene were identified and showed significant association with BFT and HW, but they and the known polymorphisms in the other two genes are unlikely to be causal mutations. Conclusion The candidate QTL regions have been greatly reduced and the QTL are most likely located downstream of the recombination coldspot. The segregation of SSCX QTL for BFT and HW within Meishan breed provides an opportunity for us to make effective use of Meishan chromosome X in crossbreeding. Further studies should attempt to identify the impact of additional DNA sequence (e.g. CNV) and expression variation in the three genes or their surrounding genes on these traits.

Published
2013

4. Deux approches sensorielles autour du concept gras/volume dans les vins blancs et les vins rouges

Author

Le Fur, Yves, Teyssot, Emilie, Vieira Foz, Nathalie, Fours, Emilie, Centre des Sciences du Goût et de l'Alimentation [Dijon] (CSGA), Institut National de la Recherche Agronomique (INRA)-Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique (CNRS), AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Institut National de la Recherche Agronomique (INRA), Universidade Federal de Santa Catarina [Florianópolis] (UFSC), Institut Œnologique de Champagne, Centre des Sciences du Goût et de l'Alimentation [Dijon] ( CSGA ), Institut National de la Recherche Agronomique ( INRA ) -Université de Bourgogne ( UB ) -AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement-Centre National de la Recherche Scientifique ( CNRS ), Institut National de la Recherche Agronomique ( INRA ), Universidade Federal de Santa Catarina, Universidade Federal de Santa Catarina = Federal University of Santa Catarina [Florianópolis] (UFSC), and ProdInra, Archive Ouverte

Subjects
analyse sensorielle, volume, gras, [ SDV.AEN ] Life Sciences [q-bio]/Food and Nutrition, fatness, sensory analysis, [SDV.AEN] Life Sciences [q-bio]/Food and Nutrition, expert, consensus, vin, wine, fullness, agreement, [SDV.AEN]Life Sciences [q-bio]/Food and Nutrition
Abstract

Introduction. Les descripteurs gras et volume sont des mots très présents dans le discours spécialisé des professionnels du vin mais il ne va pas de soi, a priori, que les différents locuteurs se comprennent quand ils utilisent l’un et l’autre de ces deux termes. Le processus cognitif de détermination sensorielle de ces deux descripteurs apparaît complexe car à la fois multimodal et multiparamétrique. La viscosité, la texture ou le caractère tapissant sont, parmi bien d’autres, autant de dimensions potentiellement sous-jacentes à ces deux termes (Folkenberg et al., 1999 ; Szczesniak, 2002). De plus, et comme le soulignaient déjà Guinard et Mazzucchelli en 1996, le processus de détermination de ces impressions en bouche est sans doute dynamique. Peu d’auteurs se sont intéressés à ces notions dans les vins. On peut citer les travaux de Pickering (Pickering et al., 1998 ; Nurgel et Pickering, 2005) et de Gawel (Gawel et al., 2007 ; Jones et al., 2008). De ces derniers, il ressort que la teneur en alcool est impliquée dans ces notions de gras ou de volume. Le saccharose (ou le couple glucose/fructose) ressort comme l’un des éléments contributeurs. Des molécules plus complexes comme les polysaccharides semblent aussi être impliquées (Vidal et al., 2004). L’ensemble de ces travaux montrent qu’il existe à l’évidence une relation entre la chimie constitutive des vins (essentiellement celle des sucres) et ces sensations perçues en bouche par les dégustateurs. Cependant, et jusqu’à récemment, aucun travail ne relatait les images conceptuelles de ces deux descripteurs. Aussi, nous sommes-nous posés les questions suivantes : Qu’est-ce qu’un vin gras ? Un vin gras est-il aussi un vin ayant du volume ? Ces notions s’adressent-elles à des vins blancs, à des vins rouges Cette réflexion nous a conduit à mettre en place un questionnaire délivré, d’une part, à des consommateurs et, d’autre part, à des professionnels du vin dans le but d’analyser de façon lexicale ces termes gras et volume. Ce travail a été synthétisé dans un récent article (Le Fur et al., 2010) qui a permis de mieux cerner ces deux notions auprès des deux populations interrogées. L’idée première était de connaître les champs sémantiques relatifs à ces concepts et de tester si ceux-ci avaient le même sens pour ces deux populations. À partir de ce travail, et outre la possibilité de mieux rationaliser les descripteurs utilisés lors des analyses sensorielles, nous avons proposé une définition de chacun de ces termes. Dans ce présent travail, nous avons, dans un premier temps, étudié ces deux concepts à travers une épreuve de catégorisation conçue sous l’angle suivant?: y a-t-il consensus autour des notions de gras ou de volume sur des vins blancs ou rouges ? L’approche sensorielle utilisée (Ballester et al., 2005 ; Jaffré et al., 2011) repose sur le savoir-évaluer de professionnels du vin qui possèdent l’expertise indispensable pour mener à bien une telle approche sensorielle (Ballester et al., 2008). Une seconde étude, relevant d’une analyse sensorielle plus classique par profil partiel, a montré l’influence de deux formulations à base de produits dérivés de levure, conçues pour renforcer la sensation de gras ou de volume dans les vins.

Published
2013

5. A locally congenic backcross design in pig: a new regional fine QTL mapping approach miming congenic strains used in mouse

Author

Jean Pierre Bidanel, Hélène Gilbert, Bertrand Servin, Marie Pierre Sanchez, Yvon Billon, Juliette Riquet, Nathalie Iannuccelli, Denis Milan, Laboratoire de Génétique Cellulaire (LGC), Institut National de la Recherche Agronomique (INRA)-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-Université Fédérale Toulouse Midi-Pyrénées, Génétique Animale et Biologie Intégrative (GABI), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Génétique Expérimentale en Productions Animales (GEPA), Institut National de la Recherche Agronomique (INRA), Animal Genetics Division of INRA, Riquet, Juliette, Ecole Nationale Vétérinaire de Toulouse (ENVT), and Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Recherche Agronomique (INRA)

Subjects
Male, Progeny testing, [SDV.SA]Life Sciences [q-bio]/Agricultural sciences, lcsh:QH426-470, growth, Quantitative Trait Loci, Sus scrofa, Population, Congenic, backfat, Quantitative trait locus, Biology, Mice, 03 medical and health sciences, Animals, Congenic, Genetics, Animals, Inbreeding, Genetics(clinical), Allele, education, qtl, carcass composition, alternative model, chromosome-4, identification, livestock, fatness, swine, Genetics (clinical), Adiposity, 030304 developmental biology, Dominance (genetics), 0303 health sciences, education.field_of_study, Sire, 0402 animal and dairy science, Chromosome Mapping, cochon, food and beverages, 04 agricultural and veterinary sciences, 040201 dairy & animal science, croissance, Pedigree, lcsh:Genetics, Research Article
Abstract

Background In previous studies, a major QTL affecting fatness and growth has been mapped to pig chromosome 1q (SSC1q) using Large White - Meishan intercrosses. A higher fat depth and a larger growth rate have been reported for the allele of MS origin. Additionally the LW allele showed partial dominance effects over the MS allele for both traits. In order to refine the QTL mapping interval, advanced backcross generations were produced. Recombinant heterozygous sires were mated to LW sows in order to progeny test the sire segregation of the QTL and refine the QTL localisation. However due to the partial dominance of the LW allele, BC scheme using LW as the receiving population was not optimal. Results To overcome the difficulties related to the dominance of the LW QTL allele, a population of dams locally homozygous for the MS haplotype in the QTL region, but with an overall 29/32 LW genetic background, has been set up. Progeny testing results, using these receiver dams, were much more significant than those previously obtained with LW dams, and the SSC1 QTL interval was refined to 8 cM. Considering the results obtained, a powerful experimental design for farm animals is proposed, mimicking locally genetically identical strains used in mouse for QTL fine mapping. Conclusions We have further characterized the fatness QTL on pig chromosome 1 and refined its map position from a 30 cM interval to a 8 cM interval, using a locally congenic BC design. We have obtained highly significant results and overcome difficulties due to the dominance of the LW allele. This design will be used to produce additional, advanced BC families to further refine this QTL localization.

Published
2011

6. Muscle gene expression and protein content in relation to intramuscular fat in Muscovy and Pekin ducks

Author

Saez, Gladys, Davail, Stephane, GENTES, Geneviève, Hocquette, Jean-François, Baéza, Elisabeth, IUT des Pays de l'Adour (IUT), Institut universitaire de Technologie Mont-de-Marsan, Unité de Recherches sur les Herbivores (URH), Institut National de la Recherche Agronomique (INRA), Unité de Recherches Avicoles (URA), and ProdInra, Migration

Subjects
[SDV] Life Sciences [q-bio], DUCK, LIPID METABOLISM, GENE EXPRESSION, FATNESS, PECTORALIS MAJOR MUSCLE, [SDV]Life Sciences [q-bio], [INFO]Computer Science [cs], [SHS] Humanities and Social Sciences, CANARD PÉKIN, [INFO] Computer Science [cs], ComputingMilieux_MISCELLANEOUS, [SHS]Humanities and Social Sciences
Abstract

International audience

Published
2009

7. Gene expression and protein content in relation to intramuscular fat content in Muscovy and Pekin ducks

Author

Stéphane Davail, Gladys Saez, Elisabeth Baéza, Geneviève Gentes, Jean-François Hocquette, Tony Jourdan, Pascal Degrace, Unité de Recherches Avicoles (URA), Institut National de la Recherche Agronomique (INRA), IUT des Pays de l'Adour (IUT), Institut universitaire de Technologie Mont-de-Marsan, Unité de Recherches sur les Herbivores (URH), Institut National de la Santé et de la Recherche Médicale (INSERM), and ProdInra, Migration

Subjects
Male, medicine.medical_specialty, GENE EXPRESSION, animal structures, viruses, animal diseases, Pekin duck, biology.animal_breed, Muscle Proteins, Fatty Acid-Binding Proteins, 03 medical and health sciences, chemistry.chemical_compound, FATNESS, PECTORALIS MAJOR MUSCLE, Adipocyte, Internal medicine, medicine, Animals, Carnitine, RNA, Messenger, [SDV.SA.SPA] Life Sciences [q-bio]/Agricultural sciences/Animal production studies, Muscle, Skeletal, 030304 developmental biology, LIPID METABOLISM, 0303 health sciences, Lipoprotein lipase, biology, 0402 animal and dairy science, virus diseases, 04 agricultural and veterinary sciences, General Medicine, 040201 dairy & animal science, Malonyl Coenzyme A, DUCK, Fatty acid synthase, Lipoprotein Lipase, Endocrinology, Ducks, chemistry, Adipose Tissue, Gene Expression Regulation, [SDV.SA.SPA]Life Sciences [q-bio]/Agricultural sciences/Animal production studies, Lipogenesis, biology.protein, Animal Science and Zoology, Intramuscular fat, Energy source, medicine.drug
Abstract

International audience; Independent of their nutritional condition, Pekin ducks always exhibit higher i.m. fat content than Muscovy ducks. To understand this difference between species, the expression level of genes involved in lipid metabolism was analyzed in the pectoralis major muscle of Pekin and Muscovy ducks ad libitum-fed or overfed. The lipoprotein lipase (LPL) gene expression was not different between species and not influenced by overfeeding. The protein content for LPL was higher in Pekin ducks than in Muscovy ducks when birds were ad libitum-fed, whereas in overfed ducks, we found no difference between species. Adipocyte fatty acid-binding protein (A-FABP) gene expression and protein content were higher in Pekin ducks than in Muscovy ducks for each nutritional condition (suggesting a higher intracellular transport within i.m. adipocytes of fatty acids mainly provided by liver for this species). Overfeeding did not affect the expression of genes involved in oxidation [carnitine palmitoyl transferase 1A (CPT1A), cytochrome-c oxidase 4 (COX4), succinyl-coenzyme A:3-ketoacid coenzyme A transferase (SCOT)] but increased the expression of fatty acid synthase (FAS) involved in lipogenesis. For all nutritional conditions, Pekin duck exhibited higher expression levels of CPT1A, COX4, SCOT, and FAS than Muscovy ducks. Results for mRNA SCOT suggested that the muscles of Pekin ducks use ketone bodies as an energy source. In conclusion, i.m. lipogenesis could contribute to the i.m. fat, particularly in Pekin ducks.

Published
2009

8. Estimation of genetic trends from 1977 to 2000 for stress-responsive systems in French Large White and Landrace pig populations using frozen semen

Author

Thierry Tribout, J. Gogué, Yvon Billon, Marcel Bouffaud, Jean Pierre Bidanel, Christophe Bazin, Aline Foury, Pierre Mormède, Psychoneuroimmunologie, nutrition et génétique, Université Bordeaux Segalen - Bordeaux 2-Institut National de la Recherche Agronomique (INRA)-Centre National de la Recherche Scientifique (CNRS), Génétique Animale et Biologie Intégrative (GABI), AgroParisTech-Institut National de la Recherche Agronomique (INRA), Génétique Expérimentale en Productions Animales (GEPA), Institut National de la Recherche Agronomique (INRA), Unité expérimentale de testage de porcs, Domaine expérimental Bourges-La Sapinière (BOURGES), Unité de Psychoneuroimmunologie, Nutrition et Génétique (PsyNuGen), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Pôle génétique, Institut du Porc, UE 0450 Unité Expérimentale de Testage de Porcs, Institut National de la Recherche Agronomique (INRA)-Génétique animale (G.A.)-Unité Expérimentale de Testage de Porcs (UETP), Université Victor Segalen, Psychoneuroimmunologie, Nutrition et Génétique (PsyNuGen), Université Bordeaux Segalen - Bordeaux 2, Institut du Porc (IFIP), and Centre National de la Recherche Scientifique (CNRS)-Institut National de la Recherche Agronomique (INRA)-Université Bordeaux Segalen - Bordeaux 2

Subjects
Veterinary medicine, viande, STRESS, muscle, Offspring, acceptabilité, [SDV]Life Sciences [q-bio], Semen, Urine, Biology, cortisol, Insemination, SF1-1100, meat quality, GENETIC TREND, 03 medical and health sciences, sus scrofa, medicine, porcin, PIGS, Landrace pig, 030304 developmental biology, 2. Zero hunger, 0303 health sciences, 0402 animal and dairy science, food and beverages, Large white, Science des productions animales, 04 agricultural and veterinary sciences, insémination artificielle, medicine.disease, 040201 dairy & animal science, Obesity, Breed, fatness, Animal culture, catecholamine, genetic trend, stress, [SDV.SA.SPA]Life Sciences [q-bio]/Agricultural sciences/Animal production studies, carcasse, Animal Science and Zoology, catecholamines, Animal production studies, porc
Abstract

Chantier qualité GA; An experimental design aiming at analysing the consequences of genetic selection from 1977 to 1998–2000 on the evolution of stress-responsive systems in the French Large White (LW) and Landrace (LR) pig populations was conducted by INRA and IFIP-Institut du Porc. Large White sows were inseminated with semen from LW boars born in 1977 (frozen semen) or in 1998 and their second-generation offspring were station-tested. Landrace sows were inseminated with semen from LR boars born in 1977 (frozen semen) or in 1999 to 2000, and their progeny was station-tested. Urinary concentration of stress hormones (cortisol and catecholamines) and traits related to carcass composition (estimated carcass lean content (ECLC) and global adiposity) and meat quality (pH 24 h) were measured. For the two populations, selection carried out since 1977 led to an increase in ECLC and a decrease in carcass adiposity. Between 1977 and 1998 to 2000, urinary concentrations of stress hormones were unchanged in the LR breed, but were decreased in the LW breed. Moreover, for the animals generated from LW boars born in 1977 and in 1998, urinary cortisol levels were negatively correlated with ECLC. Therefore, in the LW breed, selection carried out for higher ECLC resulted in a decrease in cortisol production, as well as a reduction of catecholamine production that may be responsible for the lower ultimate pH of meat. Therefore, selection carried out for increased carcass lean content led, in this breed, to large modifications in the functioning of the stress-responsive systems, thereby influencing a large range of physiological regulations and technical properties such as carcass composition and meat pH, which remained however in the normal range for acceptable meat quality.

Published
2009

9. eQTL Mapping allows to refine abdominal fatness QTL in chicken

Author

Le Mignon, G., Pitel, F., Demeure, O., Leroux, S., Douaire, M., Abasht, B., Diot, C., Le Roy, P., Lagarrigue, Sandrine, Génétique Animale (GARen), IFR140-Ecole Nationale Supérieure Agronomique de Rennes-AGROCAMPUS OUEST-Institut National de la Recherche Agronomique (INRA), Institut National de la Recherche Agronomique (INRA)-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)-Ecole Nationale Supérieure Agronomique de Rennes, Laboratoire de Génétique Cellulaire (LGC), Institut National de la Recherche Agronomique (INRA)-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-Université Fédérale Toulouse Midi-Pyrénées, and ProdInra, Migration

Subjects
[SDV] Life Sciences [q-bio], [SDV.GEN.GA]Life Sciences [q-bio]/Genetics/Animal genetics, POULET, FATNESS, CHICKENS, [SDV]Life Sciences [q-bio], food and beverages, EQTL, ENGRAISSEMENT
Abstract

Whereas many QTL for various traits were mapped in livestock, the identification of causal mutations remains laborious. In this study, we propose to combine transcriptomic data and linkage analysis for refining a chicken QTL region previously detected on GGA5 with a strong effect on abdominal fatness. Transcriptome profiles for 46 offspring of a sire heterozygous for the QTL were obtained using a chicken 20K oligochips (ARK-genomics). Two groups among the 46 offspring were defined according to the phenotype. 113 genes among the 20460 oligo-genes were differentially expressed between these two groups on the basis of Anova analyses (p

Published
2008

10. SNP mapping of QTL affecting growth and fatness on chicken GGA1

Author

Yousheng Rao, Xiquan Zhang, Meng-Na Xia, Chenglong Luo, Dexiang Zhang, Xu Shen, Qinghua Nie, and Revues Inra, Import

Subjects
Male, QTL, single nucleotide polymorphisms, Genotype, Genetics(clinical), ComputingMilieux_MISCELLANEOUS, Adiposity, lcsh:SF1-1100, Genetics, education.field_of_study, 0303 health sciences, ADP-Ribosylation Factors, 04 agricultural and veterinary sciences, General Medicine, fatness, Phenotype, Female, dbSNP, lcsh:QH426-470, chicken, growth, Population, Quantitative Trait Loci, Single-nucleotide polymorphism, [SDV.GEN.GA] Life Sciences [q-bio]/Genetics/Animal genetics, Biology, Quantitative trait locus, Crossbreed, Polymorphism, Single Nucleotide, 03 medical and health sciences, Animal science, Genetic linkage, Confidence Intervals, SNP, Animals, education, Ecology, Evolution, Behavior and Systematics, 030304 developmental biology, DNA Primers, Base Sequence, Research, 0402 animal and dairy science, 040201 dairy & animal science, Adaptor Proteins, Vesicular Transport, lcsh:Genetics, [SDV.GEN.GA]Life Sciences [q-bio]/Genetics/Animal genetics, Animal Science and Zoology, lcsh:Animal culture, Chickens
Abstract

An F2 chicken population was established from a crossbreeding between a Xinghua line and a White Recessive Rock line. A total of 502 F2 chickens in 17 full-sib families from six hatches was obtained, and phenotypic data of 488 individuals were available for analysis. A total of 46 SNP on GGA1 was initially selected based on the average physical distance using the dbSNP database of NCBI. After the polymorphism levels in all F0 individuals (26 individuals) and part of the F1 individuals (22 individuals) were verified, 30 informative SNP were potentially available to genotype all F2 individuals. The linkage map was constructed using Cri-Map. Interval mapping QTL analyses were carried out. QTL for body weight (BW) of 35 d and 42 d, 49 d and 70 d were identified on GGA1 at 351–353 cM and 360 cM, respectively. QTL for abdominal fat weight was on GGA1 at 205 cM, and for abdominal fat rate at 221 cM. Two novel QTL for fat thickness under skin and fat width were detected at 265 cM and 72 cM, respectively.

Published
2007

11. Regulation of marbling and body composition-Growth and development, gene markers and nutritional biochemistry

Author

Pethick, D.W., Barendse, W., Hocquette, Jean-François, Thompson, J.M., Wang, Y.H., ProdInra, Migration, Murdoch University, Commonwealth Scientific and Industrial Research Organisation [Canberra] (CSIRO), Unité de Recherches sur les Herbivores (URH), Institut National de la Recherche Agronomique (INRA), and University of New England (UNE)

Subjects
MARBLING, [SDV] Life Sciences [q-bio], FATNESS, [SDV]Life Sciences [q-bio], LIVESTOCK, [INFO]Computer Science [cs], [INFO] Computer Science [cs], ComputingMilieux_MISCELLANEOUS, GENOMIQUE, ADIPOCYTES, INTRAMUSCULAR FAT
Abstract

National audience

Published
2007

12. Mapping male-specific fatness QTL at the distal part of chicken chromosome 5

Author

Abasht, Behnam, Pitel, Frédérique, Le Bihan-Duval, Elisabeth, Leroux, Sophie, Lagarrigue, Sandrine, Le Roy, Pascale, Douaire, Madeleine, ProdInra, Migration, Génétique Animale (GARen), Institut National de la Recherche Agronomique (INRA)-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)-Ecole Nationale Supérieure Agronomique de Rennes, Laboratoire de Génétique Cellulaire (LGC), Institut National de la Recherche Agronomique (INRA)-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), and Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées

Subjects
[SDV] Life Sciences [q-bio], CHICKENS, FATNESS, QTL BY SEX INTERACTION, QTL, [SDV]Life Sciences [q-bio], INTERACTION QTL X SEXE
Published
2006

14. Exclusion of the SLA as candidate region and reduction of the position interval for the porcine chromosome 7 QTL affecting growth and fatness

Author

Olivier Demeure, Marie Pierre Sanchez, Juliette Riquet, Nathalie Iannuccelli, Julie Demars, Katia Feve, Laëtitia Kernaléguen, Jean-Marcel Gogué, Yvon Billon, Caritez, J. C., Denis Milan, Jean Pierre Bidanel, ProdInra, Migration, Génétique Animale (GARen), Institut National de la Recherche Agronomique (INRA)-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)-Ecole Nationale Supérieure Agronomique de Rennes, Station de Génétique Quantitative et Appliquée (SGQA), Institut National de la Recherche Agronomique (INRA), Laboratoire de Génétique Cellulaire (LGC), Institut National de la Recherche Agronomique (INRA)-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-Université Fédérale Toulouse Midi-Pyrénées, and Génétique Expérimentale en Productions Animales (GEPA)

Subjects
[SDV] Life Sciences [q-bio], FATNESS, QTL, [SDV]Life Sciences [q-bio], CROISEMENT EN RETOUR, BACKCROSS, GROWTH, PIGS, MHC, SLA, SWINE LEUKOCYTE ANTIGEN, LOCUS A EFFETS QUANTITATIFS
Published
2005

15. Exclusion of the swine leukocyte antigens as candidate region and reduction of the position interval for the Sus scrofa chromosome 7 QTL

Author

Olivier Demeure, Marie-Pierre Sanchez, Juliette Riquet, Nathalie Iannuccelli, Julie Demars, Katia Feve, Laëtitia Kernaléguen, Jean-Marcel Gogué, Yvon Billon, Caritez, J. C., Denis Milan, Jean Pierre Bidanel, Génétique Animale (GARen), Institut National de la Recherche Agronomique (INRA)-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)-Ecole Nationale Supérieure Agronomique de Rennes, Station de Génétique Quantitative et Appliquée (SGQA), Institut National de la Recherche Agronomique (INRA), Laboratoire de Génétique Cellulaire (LGC), Institut National de la Recherche Agronomique (INRA)-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-Université Fédérale Toulouse Midi-Pyrénées, and Génétique Expérimentale en Productions Animales (GEPA)

Subjects
FATNESS, QTL, [SDV]Life Sciences [q-bio], GROWTH, PIGS, SLA, SWINE LEUKOCYTE ANTIGEN
Abstract

Chantier qualité spécifique "Auteurs Externes" département de Génétique animale : uniquement liaison auteur au référentiel HR-Access; International audience

Published
2005

16. Contribution of functional genomics to the identification of genes controlling growth, body composition and breast meat quality in chickens

Author

Duclos, Michel Jacques, Jenkins, Cedric, Le Bihan-Duval, Elisabeth, Simon, Jean, Porter, Tom E., Aggrey, Samuel E., Cogburn, Larry A., ProdInra, Migration, Unité de Recherches Avicoles (URA), Institut National de la Recherche Agronomique (INRA), Department of Animal and Avian Sciences, University of Georgia [USA], Department of Animal and Food Sciences, and University of Delaware [Newark]

Subjects
[SDV] Life Sciences [q-bio], MEAT QUALITY, FATNESS, GENETICS, [SDV]Life Sciences [q-bio], [INFO]Computer Science [cs], BROILER CHICKENS, MUSCLE, [INFO] Computer Science [cs], ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2005

17. Sex by fatness QTL interaction with transgressive variation in fat and lean lines

Author

Behnam Abasht, Sandrine Lagarrigue, Frédérique Pitel, Le Bihan-Duval, E., Pascale Le Roy, Jean Simon, Cogburn, L. A., Aggrey, S. E., Alain Vignal, Madeleine Douaire, Génétique Animale (GARen), Institut National de la Recherche Agronomique (INRA)-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)-Ecole Nationale Supérieure Agronomique de Rennes, Laboratoire de Génétique Cellulaire (LGC), Institut National de la Recherche Agronomique (INRA)-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-Université Fédérale Toulouse Midi-Pyrénées, Unité de Recherches Avicoles (URA), Institut National de la Recherche Agronomique (INRA), and ProdInra, Migration

Subjects
[SDV] Life Sciences [q-bio], CHICKENS, FATNESS, QTL, [SDV]Life Sciences [q-bio], [INFO]Computer Science [cs], [INFO] Computer Science [cs], INTERACTION QTL X SEXE, QTL X SEX INTERACTION, LOCUS A EFFETS QUANTITATIFS
Published
2005

18. Selection for feed efficiency in rabbit

Author

Larzul, Catherine, Baillot, Catherine, Pena-Arnaud, Bérengère, Ruesche, Julien, Tudela, Francois, De Rochambeau, Hubert, Génétique Animale et Biologie Intégrative (GABI), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Pôle d'Expérimentation Cunicole TOULousain (PECTOUL ), Institut National de la Recherche Agronomique (INRA), Station d'Amélioration Génétique des Animaux (SAGA), and AgroParisTech-Institut National de la Recherche Agronomique (INRA)

Subjects
SELECTION, FATNESS, RABBIT, [SDV]Life Sciences [q-bio], RESIDUAL FEED EFFICIENCY, [INFO]Computer Science [cs], CARCASS COMPOSITION, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2004

19. De la détection de QTL à l'analyse des grandes fonctions : l'exemple du chromosome 7 porcin et de la composition corporelle

Author

Gilbert, Hélène, Le Roy, Pascale, Milan, Denis, Bidanel, Jean Pierre, Station de Génétique Quantitative et Appliquée (SGQA), Institut National de la Recherche Agronomique (INRA), Laboratoire de Génétique Cellulaire (LGC), Institut National de la Recherche Agronomique (INRA)-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), and Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées

Subjects
FATNESS, QTL, [SDV]Life Sciences [q-bio], PIGS, MULTIVARIATE ANALYSES, ComputingMilieux_MISCELLANEOUS, ANALYSES MULTIVARIEES, LOCUS A EFFETS QUANTITATIFS
Abstract

International audience

Published
2004

20. Determination of PRKAG1 coding sequence and mapping of PRKAG1 and PRKAG2 relatively to porcine back fat thickness QTL

Author

Demeure, Olivier, Liaubet, Laurence, Riquet, Juliette, Milan, Denis, ProdInra, Migration, Génétique Animale (GARen), Institut National de la Recherche Agronomique (INRA)-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)-Ecole Nationale Supérieure Agronomique de Rennes, Laboratoire de Génétique Cellulaire (LGC), Institut National de la Recherche Agronomique (INRA)-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), and Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées

Subjects
[SDV] Life Sciences [q-bio], FATNESS, QTL, [SDV]Life Sciences [q-bio], PIGS, GENE CLONING
Abstract

Chantier qualité spécifique "Auteurs Externes" département de Génétique animale : uniquement liaison auteur au référentiel HR-Access; International audience

Published
2004

21. An initial QTL scan for abdominal fatness and breast muscle weight in broiler chickens

Author

Sandrine Lagarrigue, Pitel, S., Wilfrid Carre, Pascale Le Roy, André Neau, Yves Amigues, Simon, J., Alain Vignal, Leclercq, B., Cogburn, L., Madeleine Douaire, Génétique Animale (GARen), Institut National de la Recherche Agronomique (INRA)-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)-Ecole Nationale Supérieure Agronomique de Rennes, Station de Génétique Quantitative et Appliquée (SGQA), Institut National de la Recherche Agronomique (INRA), Laboratoire de Génétique Cellulaire (LGC), Institut National de la Recherche Agronomique (INRA)-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-Université Fédérale Toulouse Midi-Pyrénées, and ProdInra, Migration

Subjects
[SDV] Life Sciences [q-bio], FATNESS, QTL, [SDV]Life Sciences [q-bio], MUSCLES, BROILER CHICKENS
Published
2003

23. Identification de QTL pour l'état d'engraissement et le poids de filet chez le poulet de chair

Author

Sandrine Lagarrigue, Frédérique Pitel, Wilfrid Carre, Pascale Le Roy, André Neau, Yves Amigues, Alain Vignal, Simon, J., Cogburn, L., Leclercq, B., Madeleine Douaire, ProdInra, Migration, Génétique Animale (GARen), Institut National de la Recherche Agronomique (INRA)-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)-Ecole Nationale Supérieure Agronomique de Rennes, Laboratoire de Génétique Cellulaire (LGC), Institut National de la Recherche Agronomique (INRA)-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-Université Fédérale Toulouse Midi-Pyrénées, Station de Génétique Quantitative et Appliquée (SGQA), and Institut National de la Recherche Agronomique (INRA)

Subjects
[SDV] Life Sciences [q-bio], FATNESS, CHICKENS, QTL, [SDV]Life Sciences [q-bio], BROILER CHICKENS, ComputingMilieux_MISCELLANEOUS
Abstract

National audience

Published
2003

24. Lipogenic gene expression and genetic association with fatness in broiler chicken lines

Author

Assaf, S., Lagarrigue, Sandrine, Daval, Stéphanie, Le Nigen, C., Sansom, M., Leclercq, B., Michel, J., Vignal, Alain, Pitel, Frederique, Douaire, Madeleine, Génétique Animale (GARen), Institut National de la Recherche Agronomique (INRA)-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)-Ecole Nationale Supérieure Agronomique de Rennes, Laboratoire de Génétique Cellulaire (LGC), Institut National de la Recherche Agronomique (INRA)-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-Université Fédérale Toulouse Midi-Pyrénées, and ProdInra, Migration

Subjects
[SDV] Life Sciences [q-bio], LIPID METABOLISM, GENE EXPRESSION, ASSOCIATION GENETIQUE, FATNESS, CHICKENS, [SDV]Life Sciences [q-bio], ComputingMilieux_MISCELLANEOUS, GENETIC ASSOCIATION
Abstract

International audience

Published
2002

25. Effects of genetic potential on the lysine requirement and economic results of simulated broiler flocks

Author

Catherine Beaumont, Bernard Leclercq, ProdInra, Migration, Unité de Recherches Avicoles (URA), and Institut National de la Recherche Agronomique (INRA)

Subjects
medicine.medical_specialty, 040301 veterinary sciences, digestibilité, [SDV]Life Sciences [q-bio], Lysine, Live weight, potentiel génétique, Biology, [INFO] Computer Science [cs], modèle, complex mixtures, Feed conversion ratio, Energy requirement, 0403 veterinary science, Animal science, FATNESS, [SDV.SA.SF]Life Sciences [q-bio]/Agricultural sciences/Silviculture, forestry, Internal medicine, medicine, méthode statistique, [INFO]Computer Science [cs], Growth rate, ComputingMilieux_MISCELLANEOUS, 2. Zero hunger, gain de poids, CHICKENS, 0402 animal and dairy science, Broiler, BESOIN, 04 agricultural and veterinary sciences, 040201 dairy & animal science, croissance, [SDV] Life Sciences [q-bio], adiposité, acide aminé, Endocrinology, SIMULATION, teneur en lipides, LYSINE, bacteria, GROWTH, Animal Science and Zoology, Flock, medicine.symptom, Weight gain, poulet de chair
Abstract

The effect of lysine dietary concentration (expressed as g of lysine per kg of feed) on growth from 20 to 40 days of age in male broiler flocks was studied by simulating flock perfor- mance. A total of 17 sets of parameters was considered. Different hypotheses were made on the means, variances and covariances of initial body weight (20 d of age), live weight gain (20 to 40 d), lipid content of gain and of a factor affecting the energy requirement for maintenance. The effect of dietary lysine concentration on individual live weight gain was simulated according to a "broken line" model which resulted in a curvilinear variation of flock performance with lysine concentration, as usually observed. The lipid content of gain was the major characteristic of the genotype account- ing for the mean lysine requirement of flocks: the latter increased by 1.935 g per kg of feed, i.e. 20.1%, when the former decreased from 21 to 13%. Growth rate and the factor affecting energy requirement for maintenance also exerted significant effects: when weight gain increased from 1550 to 1950 g, the lysine requirement increased by 6%. Lean and efficient flocks required diets with a higher lysine concentration. Heterogeneity for fatness also tended to increase the variability of lysine require- ment. The minimum feeding cost per kg of gain was reached on average when the mean weight gain of flocks was 97.9% of maximum gain, flock feed conversion ratio (FCR) was about 100.7% of the minimum FCR, and when the lysine requirement of 65.8% of individuals was satisfied.

Published
2001

27. Lipogenesis genes and fatness in the chicken

Author

Stéphanie Daval, Sandrine Lagarrigue, Frédérique Pitel, Le Nigen, C., Alain Vignal, Leclercq, B., Madeleine Douaire, Génétique Animale (GARen), Institut National de la Recherche Agronomique (INRA)-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)-Ecole Nationale Supérieure Agronomique de Rennes, Laboratoire de Génétique Cellulaire (LGC), Institut National de la Recherche Agronomique (INRA)-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-Université Fédérale Toulouse Midi-Pyrénées, and ProdInra, Migration

Subjects
[SDV] Life Sciences [q-bio], FATNESS, CHICKENS, GENES, LIPOGENESIS, [SDV]Life Sciences [q-bio], ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2000

29. Messenger RNA levels and transcription rates of hepatic lipogenesis genes in genetically lean and fat chickens

Author

Stéphanie Daval, Sandrine Lagarrigue, Madeleine Douaire, Génétique Animale (GARen), 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)-Ecole Nationale Supérieure Agronomique de Rennes

Subjects
lcsh:QH426-470, Apolipoprotein B, chicken, mRNA, poulet, lipid metabolism---poulet, métabolisme des lipides, engraissement, 03 medical and health sciences, chemistry.chemical_compound, Enhancer binding, lipid metabolism, Gene expression, Genetics, Genetics(clinical), Transcription factor, ComputingMilieux_MISCELLANEOUS, Fatty acid synthesis, Ecology, Evolution, Behavior and Systematics, lipogénèse, lcsh:SF1-1100, 030304 developmental biology, 2. Zero hunger, [SDV.GEN]Life Sciences [q-bio]/Genetics, 0303 health sciences, biology, Research, gène, 0402 animal and dairy science, Lipid metabolism, ARNm, 04 agricultural and veterinary sciences, General Medicine, 040201 dairy & animal science, fatness, lcsh:Genetics, Fatty acid synthase, [SDV.GEN.GA]Life Sciences [q-bio]/Genetics/Animal genetics, Biochemistry, chemistry, Lipogenesis, biology.protein, Animal Science and Zoology, lipids (amino acids, peptides, and proteins), lcsh:Animal culture, arn messager, transcription
Abstract

International audience; Levels of body fat content in commercial meat chickens have prompted research in order to control the development of this trait. Based on experimentally selected divergent lean and fat lines, many studies have shown that liver metabolism has a major role in the fatness variability. In order to identify which genes are involved in this variability, we investigated the expression of several genes implicated in the hepatic lipid metabolism. The studied genes code for enzymes of fatty acid synthesis [ATP citrate-lyase (ACL), acetyl-CoA carboxylase (ACC), fatty acid synthase (FAS), malic enzyme (ME), stearoyl-CoA desaturase (SCD1)], for an apolipoprotein [apolipoprotein A1 (APOA1)], and for the CCAAT/enhancer binding protein $\alpha$ (C/EBP$\alpha$), which is a transcription factor implied in the regulation of several genes of lipid metabolism. The results show that the fat-line chickens display significantly higher hepatic transcription rates and mRNA levels than the lean-line chickens for the ACL, ME and APOA1 genes. This suggests that these genes could be responsible for the phenotypic fatness variability.; Niveaux d'ARNm et taux de transcription hépatiques de gènes de la lipogénèse chez des poulets génétiquement gras et maigres. L'engraissement excessif du poulet de chair a conduit à développer des recherches afin de maîtriser ce caractère défavorable. De nombreuses études, effectuées sur des lignées expérimentales de poulets gras et maigres obtenues par sélection divergente, ont montré que le métabolisme hépatique joue un rôle majeur dans la variabilité de l'état d'engraissement. Dans le but d'identifier les gènes impliqués dans cette variabilité, le niveau d'expression hépatique de différents gènes impliqués dans le métabolisme des lipides a été analysé. Les gènes étudiés codent pour des enzymes de la synthèse des acides gras [ATP citrate-lyase (ACL), acétyl-CoA carboxylase (ACC), synthase des acides gras (FAS), enzyme malique (ME), stéaroyl-CoA désaturase (SCD1)], pour une apolipoprotéine [apolipoprotéine A1 (APOA1)], et pour C/EBP$\alpha$ (CCAAT/enhancer binding protein $\alpha$), un facteur de transcription régulant plusieurs gènes du métabolisme des lipides. Les résultats montrent que les poulets de la lignée grasse présentent des taux de transcription et des niveaux de messagers hépatiques des gènes ACL, EM et APOA1 significativement plus élevés que ceux de la lignée maigre. Ce résultat suggère que ces gènes pourraient être responsables de la variabilité d'engraissement observée.

Published
2000

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