30 results on '"Cassar-Malek, I."'
Search Results
2. Exploration of robustness indicators using adaptive responses to short-term feed restriction in suckling primiparous beef cows
- Author
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De La Torre, A., Barreto-Mendes, L., Pires, J.A.A., Cassar-Malek, I., Ortigues-Marty, I., and Blanc, F.
- Published
- 2022
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3. O171 Exploring links among indicators of feed efficiency and resilience in Montbéliarde and Holstein cows
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Pires, J., primary, De La Torre, A., additional, Barreto-Mendes, L., additional, Bes, S., additional, Constant, I., additional, Roux, D., additional, Tourret, M., additional, Blanc, F., additional, Cassar-Malek, I., additional, and Ortigues-Marty, I., additional
- Published
- 2022
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4. O198 Profiling suckling beef and dairy cows’ responses to feed restriction
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Barreto Mendes, L., primary, Pires, J., additional, Aliakbari, A., additional, Ortigues-Marty, I., additional, Cassar-Malek, I., additional, Blanc, F., additional, and De La Torre, A., additional
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- 2022
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5. Quest for Novel Muscle Pathway Biomarkers Using Proteomics in Beef Production
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Picard, B., primary, Cassar-Malek, I., additional, Kaspric, N., additional, Guillemin, N., additional, and Bonnet, M., additional
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- 2017
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6. Stress en élevage et à l’abattage : impacts sur les qualités des viandes.
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TERLOUW, E.M.C., primary, CASSAR-MALEK, I., additional, PICARD, B., additional, BOURGUET, C., additional, DEISS, V., additional, ARNOULD, C., additional, BERRI, C., additional, LE BIHAN-DUVAL, E., additional, LEFÈVRE, F., additional, and LEBRET, B., additional
- Published
- 2020
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7. Des marqueurs génomiques au service de la qualité de la viande
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PICARD, B., primary, LEBRET, B., additional, CASSAR-MALEK, I., additional, LIAUBET, L., additional, BERRI, C., additional, LE BIHAN-DUVAL, E., additional, LEFEVRE, F., additional, HOCQUETTE, J.F., additional, and RENAND, G., additional
- Published
- 2020
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8. Comprendre le développement des muscles et des tissus adipeux : un préalable pour maîtriser les qualités des carcasses et des produits des animaux d’élevage
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BONNET, M., primary, LOUVEAU, I., additional, CASSAR-MALEK, I., additional, LEFAUCHEUR, L., additional, and RESCAN, P.Y., additional
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- 2020
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9. Quest for Novel Muscle Pathway Biomarkers Using Proteomics in Beef Production
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Picard, B., Cassar-Malek, I., Kaspric, N., Guillemin, N., and Bonnet, M.
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- 2017
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10. Herbivore nutrition supporting sustainable intensification and agro-ecological approaches
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Cassar-Malek, I., primary, Baumont, R., additional, Bannink, A., additional, Teixeira, I., additional, Mayberry, D., additional, and Kyriazakis, I., additional
- Published
- 2018
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11. Integrated data mining of transcriptomic and proteomic datasets to predict the secretome of adipose tissue and muscle in ruminants
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Bonnet, M., primary, Tournayre, J., additional, and Cassar-Malek, I., additional
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- 2016
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12. Recent advances in omic technologies for meat quality management
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Picard, B., primary, Lebret, B., additional, Cassar-Malek, I., additional, Liaubet, L., additional, Berri, C., additional, Le Bihan-Duval, E., additional, Hocquette, J.F., additional, and Renand, G., additional
- Published
- 2015
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13. Association rule mining to help detect plant phenolic compounds putatively involved in decreased ruminal methane production in vitro
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Didier, Macheboeuf, Guillaume, Sylvie, Clara, Leguay, Sylvain, Kerros, Agnès, Cornu, Unité Mixte de Recherche sur les Herbivores - UMR 1213 (UMRH), VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Institut National de la Recherche Agronomique (INRA)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes (LIMOS), Ecole Nationale Supérieure des Mines de St Etienne-Centre National de la Recherche Scientifique (CNRS)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020]), Baumont, R. and Silberberg, M. and Cassar-Malek, I., Institut National de la Recherche Agronomique (INRA)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS), Ecole Nationale Supérieure des Mines de St Etienne (ENSM ST-ETIENNE)-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS), Institut National de la Recherche Agronomique (INRA)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement, Ecole Nationale Supérieure des Mines de St Etienne-Université Clermont Auvergne [2017-2020] (UCA [2017-2020])-Centre National de la Recherche Scientifique (CNRS), Unité Mixte de Recherches sur les Herbivores - INRA (UMRH), Institut National de la Recherche Agronomique (INRA), and Ecole Nationale Supérieure des Mines de St Etienne-Université Clermont Auvergne (UCA)-Centre National de la Recherche Scientifique (CNRS)
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associative rules ,[STAT.AP]Statistics [stat]/Applications [stat.AP] ,[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG] ,secondary metabolites ,methane ,ruminal fermentation ,[SDV.SA.ZOO]Life Sciences [q-bio]/Agricultural sciences/Zootechny ,data mining ,[SDE.BE]Environmental Sciences/Biodiversity and Ecology - Abstract
International audience; Introduction In the search for natural alternatives to synthetic chemicals able to mitigate methane emission by ruminants, bioactive plant secondary metabolites are valuable candidates. However, these phytochemicals come in myriad chemical structures, and any one plant may contain hundreds of them. Even in plant extracts containing tannins, saponins or essential oils, it is difficult to link the presence of a compound or combination to the plant's activity. Here we focus on low-molecular-weight (0.5) were discarded before data mining to avoid false-positives. With the minimum thresholds of 5 for S and 0.5 for C, there were 205 candidate peaks. In a first strategy, results were filtered via the constraints of a) co-occurrence of the peak in the 280 and 320 nm matrices and b) C > 0.65, which narrowed the candidate peaks down to 28. In a second strategy, the constraints were that the peaks had to be major (i.e. more than 10 times the area of the median peak) and present in the plants that showed high antimethanogenic effect (outliers), which narrowed the candidate peaks down to 24. Combining the two strategies resulted in 7 candidate peaks. One peak was easily identified as gallic acid. Based on absorbance spectrum between 200 and 400 nm, three others were cinnamic acid derivatives and two were flavonols. Conclusion Association rules mining was able to select a compact number of peaks making identification feasible. The effect of these pure compounds now has to be verified for proof of the concept. While the algorithm works with qualitative data, using strategy which selects among the major peaks of the profiles serves to integrate the quantitative aspect. Acknowledgements We thank ethnobotanist G. Lalière and the Conservatoire Botanique National du Massif Central for plant collection.
- Published
- 2018
14. Production and metabolic responses of Montbéliarde and Holstein cows during periparturient period and a sequential feed restriction challenge.
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Pires JAA, De La Torre A, Barreto-Mendes L, Cassar-Malek I, Ortigues-Marty I, and Blanc F
- Abstract
The objective was to compare the production and metabolic responses of 22 Montbéliarde (MONT) and 18 Holstein (HOLS) multiparous cows during the periparturient period, and during a sequential nutritional challenge (SNC), consisting of 4 successive induced short feed restrictions each separated by a refeeding period, to explore breed differences in robustness (ability to maintain lactation function during successive challenges) and resilience (ability to recover after each challenge). Cows were studied from 4 wk before expected calving until 158 ± 9 DIM (mean ± SD). Milk and ECM yields were greater in HOLS than in MONT during both the early (i.e., from calving to wk 10) and mid-lactation (i.e., from wk 18 to 22) periods, whereas BCS was greater in MONT than HOLS. During early lactation, energy balance was lower (5 vs. 16 MJ/d), plasma NEFA (270 vs 163 µM) were greater, for HOLS than MONT, respectively. Cows in third-and-greater lactation secreted more ECM, and had delayed resumption of luteal activity compared with second lactation cows. The SNC started at 87 ± 9 DIM and consisted of a sequence of 4 4-d periods of feed restriction (FR), during which feed allowance was calculated to meet 50% of individual energy requirements (FR1, FR2, FR3, FR4), each of them being followed by an ad libitum intake period. Cows were allowed 10 d of ad libitum intake between FR1 and FR2 to study the recovery and compare it with the recovery following FR4, and 3 d of ad libitum intake between FR2, FR3 and FR4 to study responses to repeated FR. Feed allowance met 59 to 67% of energy requirements during FR1 through FR4, as milk secretion decreased with successive FR. Breed differences in milk secretion persisted throughout the nutritional challenges, but were more pronounced during the first 2 FR: Uncorrected MY was greater for HOLS throughout the entire SNC, whereas ECM and plasma NEFA concentrations and milk fat yield were greater for HOLS than MONT during FR1 and FR2, but not FR3 and FR4, suggesting a reduced ability of HOLS to mobilize and transfer fatty acids into milk with successive FRs, and indicating altered robustness of HOLS to maintain high milk yield. Resilience for ECM yield did not differ between breeds. Cows were able to respond to and recover from the SNC, by decreasing milk secretion during FR, undergoing acute metabolic adaptations to support lactation, and recovering DMI during each refeeding period. Cow rankings for ECM yield were maintained consistently from early lactation throughout the SNC periods (r
s = 0.59 to 0.90), suggesting that dairy potential was a major driver of responses during the SNC for both HOLS and MONT., (The Authors. Published by Elsevier Inc. on behalf of the American Dairy Science Association®. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).)- Published
- 2024
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15. Transcriptome profiling reveals stress-responsive gene networks in cattle muscles.
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Cassar-Malek I, Pomiès L, de la Foye A, Tournayre J, Boby C, and Hocquette JF
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- Female, Cattle, Animals, Muscles, Transcriptome genetics, Meat, Gene Regulatory Networks genetics, Gene Expression Profiling veterinary
- Abstract
In meat-producing animals, preslaughter operations ( e.g ., transportation, mixing unfamiliar animals, food and water deprivation) may be a source of stress with detrimental effects on meat quality. The objective of this work was to study the effect of emotional and physical stress by comparing the transcriptomes of two muscles (M. longissimus thoracis, LT and M. semitendinosus, ST ) in Normand cows exposed to stress ( n = 16) vs . cows handled with limited stress ( n = 16). Using a microarray, we showed that exposure to stress resulted in differentially expressed genes (DEGs) in both muscles (62 DEGs in LT and 32 DEGs in ST, of which eight were common transcription factors (TFs)). Promoter analysis of the DEGs showed that 25 cis transcriptional modules were overrepresented, of which nine were detected in both muscles. Molecular interaction networks of the DEGs targeted by the most represented cis modules helped identify common regulators and common targets involved in the response to stress. They provided elements showing that the transcriptional response to stress is likely to (i) be controlled by regulators of energy metabolism, factors involved in the response to hypoxia, and inflammatory cytokines; and (ii) initiate metabolic processes, angiogenesis, corticosteroid response, immune system processes, and satellite cell activation/quiescence. The results of this study demonstrate that exposure to stress induced a core response to stress in both muscles, including changes in the expression of TFs. These factors could relay the physiological adaptive response of cattle muscles to cope with emotional and physical stress. The study provides information to further understand the consequences of these molecular processes on meat quality and find strategies to attenuate them., Competing Interests: The authors declare that they have no competing interests., (© 2022 Cassar-Malek et al.)
- Published
- 2022
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16. Myostatin gene inactivation increases post-mortem calpain-dependent muscle proteolysis in mice.
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Nassar R, Vernus B, Carnac G, Fouret G, Goustard B, Casas F, Tintignac L, Cassar-Malek I, Picard B, Seiliez I, Brioche T, Koechlin-Ramonatxo C, Bertrand-Gaday C, Hamade A, Najjar F, Chabi B, and Bonnieu A
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- Animals, Gene Silencing, Mice, Muscle, Skeletal metabolism, Proteolysis, Calpain genetics, Calpain metabolism, Myostatin genetics
- Abstract
Myostatin deficiency leads to extensive skeletal muscle hypertrophy, but its consequence on post-mortem muscle proteolysis is unknown. Here, we compared muscle myofibrillar protein degradation, and autophagy, ubiquitin-proteasome and Ca
2+ -dependent proteolysis relative to the energetic and redox status in wild-type (WT) and myostatin knock-out mice (KO) during early post-mortem storage. KO muscles showed higher degradation of myofibrillar proteins in the first 24 h after death, associated with preserved antioxidant status, compared with WT muscles. Analysis of key autophagy and ubiquitin-proteasome system markers indicated that these two pathways were not upregulated in post-mortem muscle (both genotypes), but basal autophagic flux and ATP content were lower in KO muscles. Proteasome and caspase activities were not different between WT and KO mice. Conversely, calpain activity was higher in KO muscles, concomitantly with higher troponin T and desmin degradation. Altogether, these results suggest that calpains but not the autophagy, proteasome and caspase systems, explain the difference in post-mortem muscle protein proteolysis between both genotypes., (Copyright © 2021 Elsevier Ltd. All rights reserved.)- Published
- 2022
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17. Autophagy in farm animals: current knowledge and future challenges.
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Tesseraud S, Avril P, Bonnet M, Bonnieu A, Cassar-Malek I, Chabi B, Dessauge F, Gabillard JC, Perruchot MH, and Seiliez I
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- AMP-Activated Protein Kinases metabolism, Animals, Farms, Humans, Signal Transduction physiology, Apoptosis Regulatory Proteins metabolism, Autophagy physiology, Lysosomes metabolism
- Abstract
Autophagy (a process of cellular self-eating) is a conserved cellular degradative process that plays important roles in maintaining homeostasis and preventing nutritional, metabolic, and infection-mediated stresses. Surprisingly, little attention has been paid to the role of this cellular function in species of agronomical interest, and the details of how autophagy functions in the development of phenotypes of agricultural interest remain largely unexplored. Here, we first provide a brief description of the main mechanisms involved in autophagy, then review our current knowledge regarding autophagy in species of agronomical interest, with particular attention to physiological functions supporting livestock animal production, and finally assess the potential of translating the acquired knowledge to improve animal development, growth and health in the context of growing social, economic and environmental challenges for agriculture. Abbreviations: AKT: AKT serine/threonine kinase; AMPK: AMP-activated protein kinase; ASC: adipose-derived stem cells; ATG: autophagy-related; BECN1: beclin 1; BNIP3: BCL2 interacting protein 3; BVDV: bovine viral diarrhea virus; CALCOCO2/NDP52: calcium binding and coiled-coil domain 2; CMA: chaperone-mediated autophagy; CTSB: cathepsin B; CTSD: cathepsin D; DAP: Death-Associated Protein; ER: endoplasmic reticulum; GFP: green fluorescent protein; Gln: Glutamine; HSPA8/HSC70: heat shock protein family A (Hsp70) member 8; IF: immunofluorescence; IVP: in vitro produced; LAMP2A: lysosomal associated membrane protein 2A; LMS: lysosomal membrane stability; MAP1LC3/LC3: microtubule associated protein 1 light chain 3; MDBK: Madin-Darby bovine kidney; MSC: mesenchymal stem cells; MTOR: mechanistic target of rapamycin kinase; MTORC1: MTOR complex 1; NBR1: NBR1 autophagy cargo receptor; NDV: Newcastle disease virus; NECTIN4: nectin cell adhesion molecule 4; NOD1: nucleotide-binding oligomerization domain 1; OCD: osteochondritis dissecans; OEC: oviduct epithelial cells; OPTN: optineurin; PI3K: phosphoinositide-3-kinase; PPRV: peste des petits ruminants virus; RHDV: rabbit hemorrhagic disease virus; SQSTM1/p62: sequestosome 1; TEM: transmission electron microscopy.
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- 2021
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18. The Blonde d'Aquitaine T3811>G3811 mutation in the myostatin gene: association with growth, carcass, and muscle phenotypes in veal calves.
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Vinet A, Bouyer C, Forestier L, Oulmouden A, Blanquet V, Picard B, Cassar-Malek I, Bonnet M, Rocha D, and Renand G
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- Animals, Cattle genetics, Genotype, Mutation, Phenotype, Myostatin genetics, Red Meat
- Abstract
The mutation T3811 → G3811 (TG3811) discovered in the myostatin gene of the Blonde d'Aquitaine breed is suspected of contributing to the outstanding muscularity of this breed. An experiment was designed to estimate the effect of this mutation in an F2 and back-cross Blonde d'Aquitaine × Holstein population. By genotyping all known mutations in the myostatin gene, it was ensured that the TG3811 mutation was indeed the only known mutation segregating in this population. Fifty-six calves (43 F2, 13 back-cross) were intensively fattened and slaughtered at 24.0 ± 1.4 wk of age. The effects of the mutation were estimated by comparing the calves with the [T/T] (n = 18), [T/G] (n = 30), and [G/G] (n = 8) genotypes. Highly significant substitution effects (P < 0.001), above + 1.2 phenotypic SD, were shown on carcass yield and muscularity scores. Birth weight (P < 0.001) was positively affected by the mutation (+0.8 SD) but not growth rate (P = 0.97), while carcass length (P = 0.03), and fatness (P ≤ 0.03) were negatively affected (-0.5 to -0.7 SD). The characteristics of the Triceps brachii muscle were affected by the mutation (P < 0.001), with lower ICDH activity (oxidative) and a higher proportion of myosin type 2X muscle fibers (fast twitch). The effects of the TG3811 mutation were similar to those of other known myostatin mutations, although the Blonde d'Aquitaine animals, which are predominantly [G/G] homozygous, do not exhibit extreme double muscling., (© The Author(s) 2021. Published by Oxford University Press on behalf of the American Society of Animal Science. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)
- Published
- 2021
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19. Label free shotgun proteomics for the identification of protein biomarkers for beef tenderness in muscle and plasma of heifers.
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Boudon S, Ounaissi D, Viala D, Monteils V, Picard B, and Cassar-Malek I
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- Animals, Biomarkers, Cattle, Female, Meat analysis, Muscle Proteins, Muscle, Skeletal, Proteomics
- Abstract
Meat quality prediction is a priority for the beef industry. Label free shotgun proteomics was performed on Longissimus muscle and plasma from 20 crossbred Charolais x Aubrac beef heifers, classified as subgroups of 5 extreme tender and 5 extreme tough meat according to sensory evaluation, Warner Bratzler shear force, and a synthetic tenderness index. This technique identified 268 proteins in muscle and 136 in plasma. Among them, 71 muscle proteins and 21 plasma proteins discriminated tender and tough groups. These proteins were analyzed to select the most correlated and explicative ones which were used in a linear regression on the 20 heifers. The results validated in heifers 33 muscle proteins previously identified as related with tenderness, and revealed 38 new candidates. Twelve are localized in shear force or tenderness score QTL. Among them ACTN2, ADSSL1, GOT1, HPX, OGDH, OGN, TNNC1 and VCL are proposed as robust candidates with 3 other proteins known to be related with tenderness (MYBPH, CAPZB, MYH1). Examination of the plasma proteome showed 8 putative biomarkers (MYH7, CFH, ENO3, PLA2G2D5, FHL1, GAPDH, MASP2 and SERPINF2). Three of them (MYH7, ENO3 and FHL1) were identified as discriminative of tenderness both in Longissimus muscle and in plasma. SIGNIFICANCE: The label free proteomic approach used in this study allowed to complete the atlas of biomarkers for tenderness of the Longissimus muscle. This innovative proteomic approach applied on plasma samples allowed to identify circulating candidate biomarkers for beef tenderness. This low-invasive approach constitutes an interesting alternative to evaluate early the "beef meat potential" of living animals in farm or of the carcass in slaughterhouses., Competing Interests: Declaration of Competing Interest The authors declare no competing financial interest., (Copyright © 2020. Published by Elsevier B.V.)
- Published
- 2020
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20. Aggregation of Omic Data and Secretome Prediction Enable the Discovery of Candidate Plasma Biomarkers for Beef Tenderness.
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Boudon S, Henry-Berger J, and Cassar-Malek I
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- Animals, Blood Proteins analysis, Cattle, Computer Simulation, Data Mining, Databases, Genetic, Biomarkers blood, Proteomics methods, Quantitative Trait Loci, Red Meat analysis
- Abstract
Beef quality is a complex phenotype that can be evaluated only after animal slaughtering. Previous research has investigated the potential of genetic markers or muscle-derived proteins to assess beef tenderness. Thus, the use of low-invasive biomarkers in living animals is an issue for the beef sector. We hypothesized that publicly available data may help us discovering candidate plasma biomarkers. Thanks to a review of the literature, we built a corpus of articles on beef tenderness. Following data collection, aggregation, and computational reconstruction of the muscle secretome, the putative plasma proteins were searched by comparison with a bovine plasma proteome atlas and submitted to mining of biological information. Of the 44 publications included in the study, 469 unique gene names were extracted for aggregation. Seventy-one proteins putatively released in the plasma were revealed. Among them 13 proteins were predicted to be secreted in plasma, 44 proteins as hypothetically secreted in plasma, and 14 additional candidate proteins were detected thanks to network analysis. Among these 71 proteins, 24 were included in tenderness quantitative trait loci. The in-silico workflow enabled the discovery of candidate plasma biomarkers for beef tenderness from reconstruction of the secretome, to be examined in the cattle plasma proteome.
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- 2020
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21. Dataset reporting 4654 cow milk proteins listed according to lactation stages and milk fractions.
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Delosière M, Pires JAA, Bernard L, Cassar-Malek I, and Bonnet M
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Milk contains numerous proteins including bioactive molecules that may be important in human nutrition. Thanks to improvements in proteomic methods, hundreds of proteins identified in milk are available through open data from different publications. We gathered these public data to produce an atlas reporting the cow milk proteins. We aggregated data from 20 publications reporting milk proteome and produced an atlas of 4654 unique proteins detected in milk from healthy cows. In this atlas, proteins are categorized according to four milk fractions: skimmed milk, whey, milk fat globule membranes ( MFGM ) and exosomes; and five lactation stages: colostrum period, early lactation, peak of lactation, mid-lactation and drying-off. These 9 protein lists were compared and annotated by Gene Ontology ( GO ) terms to identify the pathways they contribute to, the molecular signatures of different milk fractions and lactation stages. This data article compiles the 4654 cow milk proteins. This atlas may be used by researchers on human nutrition interested in milk protein allergy and/or digestibility in humans, and for milk processing industry. The atlas may be useful to i) find molecular signatures of physiological adaptations of dairy cows, ii) facilitate the isolation of proteins of interest, thanks to the knowledge on their presence in milk fractions and their period of secretion during lactation., (© 2020 The Authors.)
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- 2020
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22. Milk proteome from in silico data aggregation allows the identification of putative biomarkers of negative energy balance in dairy cows.
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Delosière M, Pires J, Bernard L, Cassar-Malek I, and Bonnet M
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- Animals, Cattle, Computer Simulation, Female, Lactation, Proteome analysis, Biomarkers metabolism, Data Aggregation, Energy Metabolism, Mammary Glands, Animal metabolism, Milk metabolism, Milk Proteins metabolism, Proteome metabolism
- Abstract
A better knowledge of the bovine milk proteome and its main drivers is a prerequisite for the modulation of bioactive proteins in milk for human nutrition, as well as for the discovery of biomarkers that are useful in husbandry and veterinary medicine. Milk composition is affected by lactation stage and reflects, in part, the energy balance of dairy cows. We aggregated the cow milk proteins reported in 20 recent proteomics publications to produce an atlas of 4654 unique proteins. A multistep assessment was applied to the milk proteome datasets according to lactation stages and milk fractions, including annotations, pathway analysis and literature mining. Fifty-nine proteins were exclusively detected in milk from early lactation. Among them, we propose six milk proteins as putative biomarkers of negative energy balance based on their implication in metabolic adaptative pathways. These proteins are PCK2, which is a gluconeogenic enzyme; ACAT1 and IVD, which are involved in ketone metabolism; SDHA and UQCRC1, which are related to mitochondrial oxidative metabolism; and LRRC59, which is linked to mammary gland cell proliferation. The cellular origin of these proteins warrants more in-depth research but may constitute part of a molecular signature for metabolic adaptations typical of early lactation.
- Published
- 2019
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23. Correction: Does growth path influence beef lipid deposition and fatty acid composition?
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Costa ASH, Costa P, Alves SP, Alfaia CM, Prates JAM, Vleck V, Cassar-Malek I, Hocquette JF, and Bessa RJB
- Abstract
[This corrects the article DOI: 10.1371/journal.pone.0193875.].
- Published
- 2018
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24. Correction to Exploration of Biological Markers of Feed Efficiency in Young Bulls.
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Meale SJ, Morgavi DP, Cassar-Malek I, Andueza D, Ortigues-Marty I, Robins RJ, Schiphorst AM, Migné C, Pétéra M, Laverroux S, Graulet B, Boudra H, and Cantalapiedra-Hijar G
- Published
- 2018
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25. Does growth path influence beef lipid deposition and fatty acid composition?
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Costa ASH, Costa P, Alves SP, Alfaia CM, Prates JAM, Vleck V, Cassar-Malek I, Hocquette JF, and Bessa RJB
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- Animal Feed, Animals, Cattle, Diet veterinary, Down-Regulation, Food Deprivation physiology, Gene Expression Regulation, Male, Animal Nutritional Physiological Phenomena physiology, Fatty Acids analysis, Lipids analysis, Muscle, Skeletal chemistry, Red Meat analysis
- Abstract
Despite the recent advances in transcriptomics, gene expression studies addressing cattle´s skeletal muscle adaptations in response to compensatory growth are warranted, particularly regarding lipid metabolism due to its impact in meat sensory and nutritional traits. In the present study, in comparison to ad libitum feeding, a period of feed restriction was used in order to understand the changes in bull´s lipid metabolism and gene expression of the adipogenic and lipogenic pathways after re-alimentation. Thus, 40 young Alentejana bulls were either fed ad libitum (CG group) from 9 to 18 months of age or subjected to food restriction from 9 to 15 months of age, and fed ad libitum until 24 months of age (DG group). The intramuscular fat (IMF) and total fatty acids (FA) contents were similar between groups. The major FA (>2%) contents were similar (16:0, 16:1c9, 18:1c9 and 18:2n-6) between treatments with the exception of 18:0 content that was 15% lower in DG than in CG and 20:4n-6 that tended to be greater on DG bulls. Regarding minor FA (<2%), the DG group presented greater proportions (P<0.01) of 17:1c9, 18:1t9, 18:1t10 (, 18:1c11), 18:1c13, 18:3n-6, 22:0, 22:4n-6 and 22:6n-3 and lower (P<0.05) proportions of 20:0, 18:1t16+c14, and branched chain FA (iso-15:0, anteiso-15:0, iso-16:0 and anteiso-17:0) than the CG group. Delta-9 desaturase activity indices were consistently greater (P<0.05) in DG, when compared to the CG group. Regarding microarray analysis, differentially expressed genes between CG and DG bulls were grouped in 5 main biological functions: lipid and nucleic acid metabolisms, small molecule biochemistry, molecular transport and translational modification. Discontinuous growth down-regulated the expression of ACACB (FC (fold-change) = 1.32), FABP3 (FC = 1.45), HADHA (FC = 1.41) and SLC37A4 (FC = 1.40) genes, when compared to the CG system (FDR<0.05). In contrast, in the CG bulls, the expression of ELOVL5 (FC = 1.58) and FASN (FC = 1.71) was down-regulated when compared to DG bulls. These results were confirmed to be significant (P<0.05) in the case of ELOVL5, FASN and SLC37A4, and almost significant for FABP3 by qRT-PCR analysis. The SCD1 and SCD5 gene expressions were not found to be affected by growth path. These results contribute to the still scarce knowledge about the mechanisms involved in fatty acid metabolism during compensatory growth which have decisive role on meat quality produced in Mediterranean areas.
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- 2018
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26. Exploration of Biological Markers of Feed Efficiency in Young Bulls.
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Meale SJ, Morgavi DP, Cassar-Malek I, Andueza D, Ortigues-Marty I, Robins RJ, Schiphorst AM, Migné C, Pétéra M, Laverroux S, Graulet B, Boudra H, and Cantalapiedra-Hijar G
- Subjects
- Amino Acids blood, Animal Structures growth & development, Animals, Cattle growth & development, Feces chemistry, Male, Meat analysis, Poaceae metabolism, Silage analysis, Spectroscopy, Near-Infrared, Vitamins blood, Animal Feed analysis, Biomarkers blood, Cattle blood
- Abstract
The efficiency with which ruminants convert feed to desirable products is difficult to measure under normal commercial settings. We explored the use of potential biological markers from easily obtainable samples, that is, blood, hair, and feces, to characterize potential causes of divergent efficiency when considered as residual feed intake (RFI) or feed conversion efficiency (FCE). A total of 54 Charolais bulls, 20 in period 1 and 34 in period 2, were examined for individual dry matter intake (DMI) and growth. Bulls were offered a diet of 70:30 wrapped grass silage to concentrate for 99 d. At the conclusion of the test period, blood samples were collected for the determination of vitamins B
2 and B6 , and plasma used for the determination of metabolites, natural isotopic15 N abundance (15 N NIA, expressed as δ15 N ‰) and fractionation (Δ15 Nplasma proteins-diet and Δ13 Cplasma proteins-diet ) and near-infrared spectroscopy (NIRS). Feces were analyzed by NIRS. Bulls were slaughtered at 15-17 months of age and carcass characteristics determined. Bulls were ranked according to RFI with extremes (SD ± 0.5; n = 31) classified as either efficient (Neg-RFI) or inefficient (Pos-RFI). Extreme bulls were then classified for FCE (high vs low FCE), changing the groups. Pos-RFI bulls consumed 14% more feed than Neg-RFI bulls for the same level of weight gain. Low FCE bulls tended to eat more, but had lower weight gains than high FCE bulls. No differences were detected in carcass conformation, fat scores, hot carcass weight, or dressing percentage. Yet, heart and bladder weights were heavier in Pos-RFI, and rumen weight tended to be heavier in Pos-RFI bulls. RFI did not affect bulk15 N or13 C fractionation. A negative correlation was observed between FCE and Δ15 Nplasma proteins-diet . Inefficient bulls (Pos-RFI) had higher δ15 N in glycine compared to Neg-RFI bulls. Similarly, metabolomic analysis showed a tendency for concentrations of glycine and sarcosine to be elevated in Pos-RFI bulls, whereas aspartic acid and carnosine tended to be elevated, and serine tended to be lower in High FCE. Among vitamins, only flavin adenine dinucleotide concentration was higher in the blood of bulls with High FCE. These results suggest that the two feed efficiency metrics differ in the underlying mechanisms of metabolism, where RFI is driven by differences in the energetic requirements of visceral organs and the extent of AA catabolism.- Published
- 2017
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27. Molecular regulation of high muscle mass in developing Blonde d'Aquitaine cattle foetuses.
- Author
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Cassar-Malek I, Boby C, Picard B, Reverter A, and Hudson NJ
- Abstract
The Blonde d'Aquitaine (BA) is a French cattle breed with enhanced muscularity, partly attributable to a MSTN mutation. The BA m. Semitendinosus has a faster muscle fibre isoform phenotype comprising a higher proportion of fast type IIX fibres compared to age-matched Charolais (CH). To better understand the molecular network of modifications in BA compared to CH muscle, we assayed the transcriptomes of the m. Semitendinosus at 110, 180, 210 and 260 days postconception (dpc). We used a combination of differential expression (DE) and regulatory impact factors (RIF) to compare and contrast muscle gene expression between the breeds. Prominently developmentally regulated genes in both breeds reflected the replacement of embryonic myosin isoforms ( MYL4 , MYH3 ) with adult isoforms ( MYH1 ) and the upregulation of mitochondrial metabolism ( CKMT2 , AGXT2L1 ) in preparation for birth. However, the transition to a fast, glycolytic muscle phenotype in the MSTN mutant BA is detectable through downregulation of various slow twitch subunits ( TNNC1 , MYH7 , TPM3 , CSRP3 ) beyond 210 dpc, and a small but consistent genome-wide reduction in mRNA encoding the mitoproteome. Across the breeds, NRIP2 is the regulatory gene possessing a network change most similar to that of MSTN ., Competing Interests: Competing interestsThe authors declare no competing or financial interests., (© 2017. Published by The Company of Biologists Ltd.)
- Published
- 2017
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28. The Invalidation of HspB1 Gene in Mouse Alters the Ultrastructural Phenotype of Muscles.
- Author
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Kammoun M, Picard B, Astruc T, Gagaoua M, Aubert D, Bonnet M, Blanquet V, and Cassar-Malek I
- Subjects
- Animals, Female, Male, Mice, Mice, Inbred C57BL, Mice, Knockout, Molecular Chaperones, Phenotype, Heat-Shock Proteins physiology, Microscopy, Confocal methods, Muscle, Skeletal pathology, Muscle, Skeletal ultrastructure, Neoplasm Proteins physiology
- Abstract
Even though abundance of Hsp27 is the highest in skeletal muscle, the relationships between the expression of HspB1 (encoding Hsp27) and muscle characteristics are not fully understood. In this study, we have analysed the effect of Hsp27 inactivation on mouse development and phenotype. We generated a mouse strain devoid of Hsp27 protein by homologous recombination of the HspB1 gene. The HspB1-/- mouse was viable and fertile, showing neither apparent morphological nor anatomical alterations. We detected a gender dimorphism with marked effects in males, a lower body weight (P < 0.05) with no obvious changes in the growth rate, and a lower plasma lipids profile (cholesterol, HDL and triglycerides, 0.001 < P< 0.05). The muscle structure of the animals was examined by optical microscopy and transmission electron microscopy. Not any differences in the characteristics of muscle fibres (contractile and metabolic type, shape, perimeter, cross-sectional area) were detected except a trend for a higher proportion of small fibres. Different myosin heavy chains electrophoretic profiles were observed in the HspB1-/- mouse especially the presence of an additional isoform. Electron microscopy revealed ultrastructural abnormalities in the myofibrillar structure of the HspB1-/- mouse mutant mice (e.g. destructured myofibrils and higher gaps between myofibrils) especially in the m. Soleus. Combined with our previous data, these findings suggest that Hsp27 could directly impact the organization of muscle cytoskeleton at the molecular and ultrastructural levels.
- Published
- 2016
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29. Calcium Homeostasis and Muscle Energy Metabolism Are Modified in HspB1-Null Mice.
- Author
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Picard B, Kammoun M, Gagaoua M, Barboiron C, Meunier B, Chambon C, and Cassar-Malek I
- Abstract
Hsp27-encoded by HspB1- is a member of the small heat shock proteins (sHsp, 12-43 kDa (kilodalton)) family. This protein is constitutively present in a wide variety of tissues and in many cell lines. The abundance of Hsp27 is highest in skeletal muscle, indicating a crucial role for muscle physiology. The protein identified as a beef tenderness biomarker was found at a crucial hub in a functional network involved in beef tenderness. The aim of this study was to analyze the proteins impacted by the targeted invalidation of HspB1 in the Tibialis anterior muscle of the mouse . Comparative proteomics using two-dimensional gel electrophoresis revealed 22 spots that were differentially abundant between HspB1 -null mice and their controls that could be identified by mass spectrometry. Eighteen spots were more abundant in the muscle of the mutant mice, and four were less abundant. The proteins impacted by the absence of Hsp27 belonged mainly to calcium homeostasis (Srl and Calsq1), contraction (TnnT3), energy metabolism (Tpi1, Mdh1, PdhB, Ckm, Pygm, ApoA1) and the Hsp proteins family (HspA9). These data suggest a crucial role for these proteins in meat tenderization. The information gained by this study could also be helpful to predict the side effects of Hsp27 depletion in muscle development and pathologies linked to small Hsps.
- Published
- 2016
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30. Expression Marker-Based Strategy to Improve Beef Quality.
- Author
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Cassar-Malek I and Picard B
- Subjects
- Animals, Cattle, Meat analysis, Phenotype, Biomarkers analysis, Meat standards
- Abstract
For beef cattle research, a main objective is to control concomitantly the development of muscles and the qualities of beef cuts. Beef quality is a complex phenotype that is only detectable after slaughter and is highly variable. The beef industry is in need of tools to estimate beef quality of live cattle or online in abattoirs, with specific attention towards sensory attributes (tenderness, juiciness, flavour, and colour). Identification of relevant genetic and genomic markers is ongoing, especially for tenderness--a top priority quality attribute. In this paper, we describe the steps of an expression marker-based strategy to improve beef sensory quality, from the discovery of biomarkers that identify consistent beef and the biological functions governing beef tenderness to the integration of the knowledge into detection tests for desirable animals. These tools should soon be available for the management of sensory quality in the beef production chain for meeting market's demands and assuring good quality standards.
- Published
- 2016
- Full Text
- View/download PDF
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