Author: "Billon, Yvon" / Search Limiters: Peer Reviewed / Topic: pig - Searchworks@Jio Institute Digital Library Search Results

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38 results on '"Billon, Yvon"'

1. Driving gut microbiota enterotypes through host genetics

Author: Larzul, Catherine, Estellé, Jordi, Borey, Marion, Blanc, Fany, Lemonnier, Gaëtan, Billon, Yvon, Thiam, Mamadou Gabou, Quinquis, Benoît, Galleron, Nathalie, Jardet, Deborah, Lecardonnel, Jérôme, Plaza Oñate, Florian, and Rogel-Gaillard, Claire
Published: 2024
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2. Studies of male and female meiosis in inv(4)(p1.4;q2.3) pig carriers

Author: Massip, Katia, Yerle, Martine, Billon, Yvon, Ferchaud, Stéphane, Bonnet, Nathalie, Calgaro, Anne, Mary, Nicolas, Dudez, Anne-Marie, Sentenac, Céline, Plard, Christophe, Ducos, Alain, and Pinton, Alain
Published: 2010
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3. Effect of chronic and acute heat challenges on fecal microbiota composition, production, and thermoregulation traits in growing pigs

Author: Le Sciellour, Mathilde, Zemb, Olivier, Hochu, Isabelle, Riquet, Juliette, Gilbert, Hélène, Giorgi, Mario, Billon, Yvon, Gourdine, Jean-Luc, Renaudeau, David, 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), Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), École nationale supérieure agronomique de Toulouse [ENSAT]-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, Plateforme Tropicale d'Expérimentation sur l'Animal (PTEA), Institut National de la Recherche Agronomique (INRA), Génétique, Expérimentation et Système Innovants (GenESI), Unité de Recherches Zootechniques (URZ), ANR-12-ADAP-0015, European Project: 633531,H2020,H2020-SFS-2014-2,Feed-a-Gene(2015), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-École nationale supérieure agronomique de Toulouse [ENSAT], UE 1372 Génétique, Expérimentation et Système Innovants, Institut National de la Recherche Agronomique (INRA)-Génétique animale (G.A.)-Physiologie Animale et Systèmes d'Elevage (PHASE), Institut National de la Recherche Agronomique (INRA)-Génétique, Expérimentation et Système Innovants (GenESI), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-École nationale supérieure agronomique de Toulouse (ENSAT), and Université de Toulouse (UT)-Université de Toulouse (UT)
Subjects: Animal biology, stress thermique, Pig, climat, Microbiota, Climate, Performance, [SDV.BA]Life Sciences [q-bio]/Animal biology, swine, performance animale, Enterotype, Heat stress, population bactérienne, heat stress, microbiote, composition, Biologie animale, porc
Abstract: The present study aimed at investigating the impact of heat challenges on gut microbiota composition in growing pigs and its relationship with pigs’ performance and thermoregulation responses. From a total of 10 F1 sire families, 558 and 564 backcross Large White × Créole pigs were raised and phenotyped from 11 to 23 wk of age in temperate (TEMP) and in tropical (TROP) climates, respectively. In TEMP, all pigs were subjected to an acute heat challenge (3 wk at 29 °C) from 23 to 26 wk of age. Feces samples were collected at 23 wk of age both in TEMP and TROP climate (TEMP23 and TROP23 samples, respectively) and at 26 wk of age in TEMP climate (TEMP26 samples) for 16S rRNA analyses of fecal microbiota composition. The fecal microbiota composition significantly differed between the 3 environments. Using a generalized linear model on microbiota composition, 182 operational taxonomic units (OTU) and 2 pathways were differentially abundant between TEMP23 and TEMP26, and 1,296 OTU and 20 pathways between TEMP23 and TROP23. Using fecal samples collected at 23 wk of age, pigs raised under the 2 climates were discriminated with 36 OTU using a sparse partial least square discriminant analysis that had a mean classification error-rate of 1.7%. In contrast, pigs in TEMP before the acute heat challenge could be discriminated from the pigs in TEMP after the heat challenge with 32 OTU and 9.3% error rate. The microbiota can be used as biomarker of heat stress exposition. Microbiota composition revealed that pigs were separated into 2 enterotypes. The enterotypes were represented in both climates. Whatever the climate, animals belonging to the Turicibacter–Sarcina–Clostridium sensu stricto dominated enterotype were 3.3 kg heavier (P < 0.05) at 11 wk of age than those belonging to the Lactobacillus-dominated enterotype. This latter enterotype was related to a 0.3 °C lower skin temperature (P < 0.05) at 23 wk of age. Following the acute heat challenge in TEMP, this enterotype had a less-stable rectal temperature (0.34 vs. 0.25 °C variation between weeks 23 and 24, P < 0.05) without affecting growth performance (P > 0.05). Instability of the enterotypes was observed in 34% of the pigs, switching from an enterotype to another between 23 and 26 wk of age after heat stress. Despite a lower microbial diversity, the Turicibacter–Sarcina–Clostridium sensu stricto dominated enterotype was better adapted to heat stress conditions with lower thermoregulation variations.
Published: 2019

4. Thermoregulation of piglets from two genetic lines divergent for residual feed intake

Author: SCHMITT, O., Billon, Yvon, Gilbert, Hélène, Bonnet, Agnes, Liaubet, Laurence, Scotland's Rural College (SRUC), University of Edinburgh, Teagasc Agriculture and Food Development Authority (Teagasc), Génétique, Expérimentation et Système Innovants (GenESI), Institut National de la Recherche Agronomique (INRA), Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), École nationale supérieure agronomique de Toulouse [ENSAT]-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 GISA SubPig
Subjects: pig, genetic lines, thermoregulation, [SDV.OT]Life Sciences [q-bio]/Other [q-bio.OT], residual feed intake, animal diseases, feed efficiency, piglet maturity
Abstract: International audience; Hypothermia is a factor of piglet neonatal mortality. This study used Infra-Red Thermography (IRT) to assess thermoregulation abilities of piglets from two lines divergent for residual feed intake (RFI). At birth, body weight and rectal temperature were recorded from piglets of the 11th generation of the low RFI (LRFI, more efficient; n=34) and the high RFI (HRFI, less efficient; n=28). IRT images were taken at 8, 15, 30 and 60 min post-partum. Temperatures of the ear base and tip, and minimum, maximum and average temperatures of the back (i.e. shoulders to rumps) were extracted with Thermacam Researcher Pro 2.0, and analysed with linear mixed models (SAS 9.4). All temperatures increased overtime. The rectal temperature of piglets at birth was correlated with the initial temperature of the ear base and the maximum back temperature (0.36 and 0.35, respectively, P
Published: 2018

5. The effect of divergent selection on adrenocortical activity in Large White pigs on gene expression after ACTH, LPS and social stress challenges

Author: Terenina, Elena, Dugué, Claire, Kulikova, E., Bazovkina, Darya, Gress, Laure, Lefort, Gaëlle, Billon, Yvon, Larzul, Catherine, Mormède, Pierre, Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), École nationale supérieure agronomique de Toulouse [ENSAT]-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, Russian Academy of Sciences [Moscow] (RAS), Unité de Mathématiques et Informatique Appliquées de Toulouse (MIAT INRA), Institut National de la Recherche Agronomique (INRA), and Génétique, Expérimentation et Système Innovants (GenESI)
Subjects: pig, [SDV.GEN]Life Sciences [q-bio]/Genetics, [SDV.GEN.GA]Life Sciences [q-bio]/Genetics/Animal genetics, behavior, [SDV]Life Sciences [q-bio], selection, genetic, [INFO]Computer Science [cs], [MATH]Mathematics [math]
Abstract: International audience; The effect of divergent selection on adrenocortical activity in Large White pigs on gene expression after ACTH, LPS and social stress challenges. E. Terenina1, C. Dugué1, E. Kulikova2, D. Bazovkina2, L. Gress1, G. Lefort1, Y. Billon3, C. Larzul1 & P. Mormede1 1 GenPhySE, INRA, INPT, ENSAT, Université de Toulouse, 31326 Castanet-Tolosan, France elena.mormede@inra.fr (Corresponding Author) 2 Department of Behavioral Neurogenomics, Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, Russia 3 GenESI, INRA, Le Magneraud, 17700 Surgères, France The objective of the present experiment is to analyze the expression of candidate genes related to HPA axis and stress in the third generation of selection of two lines of pigs divergently selected on the basis of plasma cortisol levels measured one hour after injection of ACTH. This test allows to objectify the activity level of the hypothalamic-pituitary-adrenal (HPA) axis, a major neuroendocrine system of the stress response. The kinetics of the blood transcriptomic responses to adrenocorticotropic hormone (ACTH), lipopolysaccharide (LPS) and social stress were measured at 4 time points (0, 1h, 4h, and 24h after the challenge). Our results suggest that the responses to these different challenges are not affected in the same way by HPA axis activity. We found 22 differentially expressed genes for the inflammatory stress, 2 genes specific to the response to ACTH injection and 12 genes for the social stress. The expression of studied candidate genes did not differ according to the line. Four genes (MEGF9, S100A9, CERS4 and PSAP) were found to be differentially expressed in the three tests and could therefore be used for the overall study of stress response. With the financial support of the Agence Nationale de la Recherche, program ANR BIOADAPT, project SUSoSTRESS (ANR-12-ADAP-0008).
Published: 2018

6. Divergent selection on adrenocortical activity in Large White pigs: study of responses to breeding challenges

Author: Mormède, Pierre, Terenina, Elena, Billon, Yvon, Ferchaud, Stéphane, Gress, Laure, Rémignon, Hervé, Manse, Hélène, Larzul, Catherine, Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), École nationale supérieure agronomique de Toulouse [ENSAT]-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, Expérimentation et Système Innovants (GenESI), and Institut National de la Recherche Agronomique (INRA)
Subjects: pig, stress, [SDV.GEN]Life Sciences [q-bio]/Genetics, [SDV.GEN.GA]Life Sciences [q-bio]/Genetics/Animal genetics, [SDV]Life Sciences [q-bio], selection, [INFO]Computer Science [cs], genetic
Abstract: International audience; This experiment had the objective to analyze responses to various breeding challenges in the third generation of selection of two lines of pigs genetically selected on the basis of plasma cortisol levels measured one hour after injection of ACTH. This test allows to objectify the activity level of the hypothalamic-pituitary-adrenal (HPA) axis, a major neuroendocrine system of the stress response. The results presented here show that the post-weaning growth rate was significantly lower in the high line, although the two lines had the same overall growth rate throughout their productive lives. The effects of a prolonged exposure to high temperature (30°C) and of group mixing stress prior to slaughter did not differ between the lines. These results show that the responses to different challenges are not affected in the same way by the HPA axis activity. These results, together with production data, will allow to evaluate the relevance of this criterion of selection to increase the robustness of animals. With the financial support of the Agence Nationale de la Recherche, program ANR BIOADAPT, project SUSoSTRESS (ANR-12-ADAP-0008). Keywords: genetic selection, cortisol, stress, robustness, heat stress, weaning stress, mixing stress, pig.
Published: 2018

7. Effect of heat stress on faecal microbiota composition in swine: preliminary results

Author: Le Sciellour, Mathilde, Hochu, Isabelle, Zemb, Olivier, Riquet, Juliette, Gilbert, Hélène, Giorgi, Mario, Billon, Yvon, Gourdine, Jean-Luc, Renaudeau, David, Physiologie, Environnement et Génétique pour l'Animal et les Systèmes d'Elevage [Rennes] (PEGASE), Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST, Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-École nationale supérieure agronomique de Toulouse (ENSAT), Université de Toulouse (UT)-Université de Toulouse (UT), Plateforme Tropicale d'Expérimentation sur l'Animal (PTEA), Institut National de la Recherche Agronomique (INRA), Génétique, Expérimentation et Système Innovants (GenESI), Unité de Recherches Zootechniques (URZ), ANR PIG_HEAT, European Project: 633531,H2020,H2020-SFS-2014-2,Feed-a-Gene(2015), 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), École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), 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: pig, heat stress, [SDV.OT]Life Sciences [q-bio]/Other [q-bio.OT], fecal microbiota, Autre (Sciences du Vivant)
Abstract: International audience; Gut microbiota plays a central role in health and nutrient digestion and would help the host for better coping with environmental perturbations. In tropical conditions or in temperate countries during Summer, elevated ambient temperatures can cause economic losses to the pig industry. During heat stress (HS), the reduction in voluntary feed intake is the main adaptation response for reducing heat production. This lower feed intake has subsequent negative effects on pig performance. The main purpose of this study was to investigate the relationships between HS and gut microbiota composition. A better understanding of the microbiota response to HS could allow the selection for animals well adapted to HS. Genetically related pigs were raised under temperate or tropical farm conditions with mean thermal humidity indexes respectively 23 and 25.5 from 11 to 23 weeks of age. In temperate conditions, pigs were submitted to a 3-week HS challenge at 30 °C. Faecal samples were collected in all pigs at 23 weeks of age in both environments (n=1,200 samples) and at 26 weeks of age in the temperate environment (n=600). Therefore, it was possible to compare microbiota from pigs raised in a temperate environment, a tropical climate, and exposed to HS. Microbiota extracted from pigs under temperate and tropical climate had different compositions whereas pigs exposed to heat challenge or raised in tropical conditions tended to share a common microbiota. HS challenge drastically modified gut microbiota and the groups before and after the challenge could be predicted in a multilevel sparse partial least square discriminant analysis with 30 OTUs and a mean classification error rate of 14%. Our experiment suggests that microbiota can be used as biomarkers of HS exposition.
Published: 2018

8. Late Fetal Blood Transcriptomic Approach To Get Insight Into Biology Related To Birth Survival

Author: Liaubet, Laurence, Voillet, Valentin, Lippi, Yannick, Iannuccelli, Nathalie, Lascor, Christine, Billon, Yvon, San Cristobal, Magali, Canario, Laurianne, Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), École nationale supérieure agronomique de Toulouse [ENSAT]-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, Transcriptomic impact of Xenobiotics (E23 TRiX), ToxAlim (ToxAlim), Institut National de la Recherche Agronomique (INRA)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Ecole Nationale Vétérinaire de Toulouse (ENVT), Université Fédérale Toulouse Midi-Pyrénées-Ecole d'Ingénieurs de Purpan (INPT - EI Purpan), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Recherche Agronomique (INRA)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Plateforme Génome & Transcriptome (GET), Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Génopole Toulouse Midi-Pyrénées [Auzeville] (GENOTOUL), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Génétique, Expérimentation et Système Innovants (GenESI), Institut National de la Recherche Agronomique (INRA), Dynamiques Forestières dans l'Espace Rural (DYNAFOR), Institut National de la Recherche Agronomique (INRA)-École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National Polytechnique (Toulouse) (Toulouse INP), ANR-09-GENM-0005,PORCINET,Approche intégrée de la maturité des porcelets(2009), Université Fédérale Toulouse Midi-Pyrénées-Ecole Nationale Vétérinaire de Toulouse (ENVT), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Ecole d'Ingénieurs de Purpan (INPT - EI Purpan), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Recherche Agronomique (INRA)-Plateforme Génome & Transcriptome (GET), Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut National des Sciences Appliquées - Toulouse (INSA Toulouse), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Ecole Nationale Vétérinaire de Toulouse - ENVT (FRANCE), Ecole d'Ingénieurs de Purpan - EIP (FRANCE), Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE), Institut National de la Recherche Agronomique - INRA (FRANCE), Université Toulouse III - Paul Sabatier - UT3 (FRANCE), Institut National Polytechnique de Toulouse - INPT (FRANCE), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-École nationale supérieure agronomique de Toulouse [ENSAT], Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Recherche Agronomique (INRA), UE 1372 Génétique, Expérimentation et Système Innovants, Institut National de la Recherche Agronomique (INRA)-Génétique animale (G.A.)-Physiologie Animale et Systèmes d'Elevage (PHASE), Institut National de la Recherche Agronomique (INRA)-Génétique, Expérimentation et Système Innovants (GenESI), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Supérieure Agronomique de Toulouse-Institut National Polytechnique (Toulouse) (Toulouse INP), and ANR-09-GENM-005 PORCINET
Subjects: pig, Pig, [SDV.OT]Life Sciences [q-bio]/Other [q-bio.OT], Blood, Autre, blood, Fetal maturity, microarray, fetal maturity, Microarray, Génétique animale, Autre (Sciences du Vivant)
Abstract: In recent decades, improvement of prolificacy and body composition has been accompanied by a substantial increase in the mortality of piglets before weaning. The most critical period is the perinatal period, mostly during the first 24-48 hours following birth. The maturity of piglets, defined as the state of full development for survival at birth, is an important determinant of early mortality. The objective of our project is to take advantage of current knowledge about two pig breeds, Large White (LW) pigs selected for prolificacy and body composition and Meishan (MS) pigs being more robust. Maturity of several tissues and metabolite profiles of various fluids are analyzed on the fetuses (LW, MS and reciprocal F1) at day 90 or 110 of gestation (birth at day 114). Here we presented the transcriptomic analysis done on total blood samples (N=63). We did two different statistical analyses, a supervised one to reveal differential pathways for the interaction between gestational stages and genotypes and an unsupervised analysis (hclust and differential analyses) to identify potential predictors of a lesser maturity at birth. All p-values were adjusted with a Bonferroni correction < 1%. The 265 genes differential for the interaction (Bonferroni 1%) in blood samples revealed many genes for mitochondrial ATP synthesis, transcriptional regulation, and response to hypoxia (overexpressed in LW at day 110 of gestation).
Published: 2017

9. Tropical heat stress in pigs : dissecting GxE

Author: Gilbert, Hélène, Renaudeau, David, Labrune, Yann, Feve, Katia, Rose, Roseline, Billon, Yvon, Giordi, Mario, Loyau, Thomas, Riquet, Juliette, Gourdine, Jean-Luc, Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), École nationale supérieure agronomique de Toulouse [ENSAT]-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, 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), Unité de Recherches Zootechniques (URZ), Institut National de la Recherche Agronomique (INRA), Génétique, Expérimentation et Système Innovants (GenESI), Plateforme Tropicale d'Expérimentation sur l'Animal (PTEA), and ANR PIG_HEAT
Subjects: pig, heat stress, [SDV.GEN]Life Sciences [q-bio]/Genetics, [SDV.GEN.GA]Life Sciences [q-bio]/Genetics/Animal genetics, QTL, [SDV]Life Sciences [q-bio], genetic parameters, genetics, [INFO]Computer Science [cs], ComputingMilieux_MISCELLANEOUS
Abstract: International audience
Published: 2017

10. Dissecting G x E interactions for responses to tropical heat stress in pig breeding

Author: Gilbert, Hélène, Renaudeau, David, Labrune, Yann, Feve, Katia, Rose, Roseline, Billon, Yvon, Giorgi, Mario, Loyau, Thomas, Riquet, Juliette, Gourdine, Jean-Luc, Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), École nationale supérieure agronomique de Toulouse [ENSAT]-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, 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), Unité de Recherches Zootechniques (URZ), Institut National de la Recherche Agronomique (INRA), Génétique, Expérimentation et Système Innovants (GenESI), Plateforme Tropicale d'Expérimentation sur l'Animal (PTEA), and ANR PIG_HEAT
Subjects: pig, heat stress, [SDV.GEN]Life Sciences [q-bio]/Genetics, [SDV.GEN.GA]Life Sciences [q-bio]/Genetics/Animal genetics, QTL, [SDV]Life Sciences [q-bio], genetic parameters, genetics, [INFO]Computer Science [cs], ComputingMilieux_MISCELLANEOUS
Abstract: International audience
Published: 2017

11. Effect of chronic and acute heat challenges on fecal microbiota composition, production, and thermoregulation traits in growing pigs,.

Author: Sciellour, Mathilde Le, Zemb, Olivier, Hochu, Isabelle, Riquet, Juliette, Gilbert, Hélène, Giorgi, Mario, Billon, Yvon, Gourdine, Jean-Luc, and Renaudeau, David
Subjects: SWINE, BODY temperature regulation, HEAT, SKIN temperature, DISCRIMINANT analysis, MICROBIAL diversity, BODY temperature
Abstract: The present study aimed at investigating the impact of heat challenges on gut microbiota composition in growing pigs and its relationship with pigs' performance and thermoregulation responses. From a total of 10 F1 sire families, 558 and 564 backcross Large White × Créole pigs were raised and phenotyped from 11 to 23 wk of age in temperate (TEMP) and in tropical (TROP) climates, respectively. In TEMP, all pigs were subjected to an acute heat challenge (3 wk at 29 °C) from 23 to 26 wk of age. Feces samples were collected at 23 wk of age both in TEMP and TROP climate (TEMP23 and TROP23 samples, respectively) and at 26 wk of age in TEMP climate (TEMP26 samples) for 16S rRNA analyses of fecal microbiota composition. The fecal microbiota composition significantly differed between the 3 environments. Using a generalized linear model on microbiota composition, 182 operational taxonomic units (OTU) and 2 pathways were differentially abundant between TEMP23 and TEMP26, and 1,296 OTU and 20 pathways between TEMP23 and TROP23. Using fecal samples collected at 23 wk of age, pigs raised under the 2 climates were discriminated with 36 OTU using a sparse partial least square discriminant analysis that had a mean classification error-rate of 1.7%. In contrast, pigs in TEMP before the acute heat challenge could be discriminated from the pigs in TEMP after the heat challenge with 32 OTU and 9.3% error rate. The microbiota can be used as biomarker of heat stress exposition. Microbiota composition revealed that pigs were separated into 2 enterotypes. The enterotypes were represented in both climates. Whatever the climate, animals belonging to the Turicibacter – Sarcina – Clostridium sensu stricto dominated enterotype were 3.3 kg heavier (P < 0.05) at 11 wk of age than those belonging to the Lactobacillus -dominated enterotype. This latter enterotype was related to a 0.3 °C lower skin temperature (P < 0.05) at 23 wk of age. Following the acute heat challenge in TEMP, this enterotype had a less-stable rectal temperature (0.34 vs. 0.25 °C variation between weeks 23 and 24, P < 0.05) without affecting growth performance (P > 0.05). Instability of the enterotypes was observed in 34% of the pigs, switching from an enterotype to another between 23 and 26 wk of age after heat stress. Despite a lower microbial diversity, the Turicibacter – Sarcina – Clostridium sensu stricto dominated enterotype was better adapted to heat stress conditions with lower thermoregulation variations. [ABSTRACT FROM AUTHOR]
Published: 2019
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12. Responses to weaning in two pig lines divergently selected on residual feed intake depending on diet

Author: Gilbert, Hélène, Ruesche, Julien, Muller, Nathalie, Billon, Yvon, Robert, F., ROGER, L., Montagne, Lucile, Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), 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-École nationale supérieure agronomique de Toulouse [ENSAT], Physiologie, Environnement et Génétique pour l'Animal et les Systèmes d'Elevage [Rennes] (PEGASE), AGROCAMPUS OUEST-Institut National de la Recherche Agronomique (INRA), UE 1372 Génétique, Expérimentation et Système Innovants, Institut National de la Recherche Agronomique (INRA)-Génétique animale (G.A.)-Physiologie Animale et Systèmes d'Elevage (PHASE), Institut National de la Recherche Agronomique (INRA)-Génétique, Expérimentation et Système Innovants (GenESI), CCPA,Centrale Coopérative de Productions Animales (CCPA), European Project: 613574, Université de Toulouse (UT)-Université de Toulouse (UT)-Institut National Polytechnique (Toulouse) (Toulouse INP), Université de Toulouse (UT)-Université de Toulouse (UT)-École nationale supérieure agronomique de Toulouse (ENSAT), Université de Toulouse (UT)-Université de Toulouse (UT), Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST, Génétique, Expérimentation et Système Innovants (GenESI), Institut National de la Recherche Agronomique (INRA), Groupe CCPA, École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, 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)
Subjects: pig, stress, weaning, [SDV]Life Sciences [q-bio], feed efficiency, genetics
Abstract: Responses to weaning in two pig lines divergently selected on residual feed intake depending on diet. 67. Annual Meeting of the European Federation of Animal Science (EAAP)
Published: 2016

13. 3D nuclear positioning of IGF2 alleles and trans interactions with imprinted genes in pig fetal cells

Author: Lahbib Mansais, Yvette, Marti-Marimon, Maria, Voillet, Valentin, Barasc, Harmonie, Mompart, Florence, Riquet, Juliette, Foissac, Sylvain, Robelin, David, ACLOQUE, Hervé, Billon, Yvon, Villa-Vialaneix, Nathalie, Liaubet, Laurence, Yerle- Bouissou, Martine, Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), École nationale supérieure agronomique de Toulouse [ENSAT]-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, Expérimentation et Système Innovants (GenESI), Institut National de la Recherche Agronomique (INRA), and Unité de Mathématiques et Informatique Appliquées de Toulouse (MIAT INRA)
Subjects: genomic, pig, [SDV.OT]Life Sciences [q-bio]/Other [q-bio.OT], [SDV.GEN]Life Sciences [q-bio]/Genetics, [SDV.GEN.GA]Life Sciences [q-bio]/Genetics/Animal genetics, [SDV]Life Sciences [q-bio], interaction, [INFO]Computer Science [cs], 3D nuclear, genetic, [MATH]Mathematics [math], ComputingMilieux_MISCELLANEOUS, génétique
Abstract: International audience
Published: 2016

14. Temperate and tropical conditions impact on production and thermoregulatory traits in growing pigs

Author: Rose, Roseline, Gilbert, Hélène, Renaudeau, David, Riquet, Juliette, Giorgi, Mario, Billon, Yvon, Mandonnet, Nathalie, Gourdine, Jean-Luc, Unité de Recherches Zootechniques (URZ), Institut National de la Recherche Agronomique (INRA), Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), 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-École nationale supérieure agronomique de Toulouse [ENSAT], Physiologie, Environnement et Génétique pour l'Animal et les Systèmes d'Elevage [Rennes] (PEGASE), AGROCAMPUS OUEST-Institut National de la Recherche Agronomique (INRA), Plateforme Tropicale d'Expérimentation sur l'Animal, UE 1372 Génétique, Expérimentation et Système Innovants, Institut National de la Recherche Agronomique (INRA)-Génétique animale (G.A.)-Physiologie Animale et Systèmes d'Elevage (PHASE), Institut National de la Recherche Agronomique (INRA)-Génétique, Expérimentation et Système Innovants (GenESI), ANR PigHeaT, École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, 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), Plateforme Tropicale d'Expérimentation sur l'Animal (PTEA), and Génétique, Expérimentation et Système Innovants (GenESI)
Subjects: pig, région tropicale, croisement d'espèces, climat, [SDV]Life Sciences [q-bio], production animale, livestock farms, race porcine creole, région tempérée, swine, effet de l'environnement, thermotolerance, facteur milieu, température, thermorégulation, large white, porc
Abstract: The aim of the study was to evaluate the effects of two environment (temperate TEMP vs tropical humid TROP) on production trait and thermoregulatory response of genetically linked growing pigs. Large white (LW) pigs were crossed with tropical pigs from the Creole breed (CR), which is less productive but more thermotolerant than LW. A total of 1,296 half-sib backcross, from 10 (LW x CR) boars and about 65 LW sows in each environment were reared in TROP (n=667) and in TEMP (n=629). TROP was characterized by an average daily ambient temperature (T) of 26.0±0.3 °C and an a'erage daily relative humidity (RH) of 84.5±0.5%. The corresponding values for TEMP were 25.1±0.6 °C and 61.2±3.8% respectively. Live body weight (BW) was measured at the beginning of test (week 11), at weeks 19 and 21, and at the end of test (week 23). Backfat thickness (BT) and cutaneous temperature (CT) were measured at weeks 19 and 23. Rectal temperature (RT) was recorded at weeks 19, 21 and 23. Under TROP, the average daily gain (ADG) during the test and BT were lower than under TEMP (718 vs 813 g/d and 14 vs 18 mm, P
Published: 2015

15. Responses to weaning in two pig lines divergently selected for residual feed intake depending on diet 1.

Author: Gilbert, Hélène, Ruesche, Julien, Muller, Nelly, Billon, Yvon, Begos, Vincent, and Montagne, Lucile
Subjects: HAPTOGLOBINS, ANIMAL nutrition, ANIMAL feeds, BLOOD sampling, FATTY acids, PIGLETS
Abstract: Weaning is a stress every piglet has to face. It is a main cause of antibiotic uses due to digestive disorders. In this study, response to weaning was analyzed in pigs from two lines divergently selected for residual feed intake (RFI) during growth. A total of 132 pigs from each line, housed per line and diet in conventional postweaning units of 12 castrated males and 12 females, were fed either a conventional control (two successive diets) or a complex (three successive diets) dietary sequence during the postweaning period (4 to 10 wk of age). BWs were recorded at weaning (days 0 and 28 of age), days 1, 2, 6, 12, 19, 26, and 42 (10 wk of age), and at 23 wk of age. Feces texture was examined before weaning (day −1), at day 1, 2, 6, 12, and 19. Feed intake was recorded at pen level from days 0 to 42 after weaning, and individually thereafter. Plasma was collected after blood samplings at days −1, 6, 19, and 42 on half of the piglets: all piglets of a given sex in each pen were sampled, to achieve a balanced number across factors. Pigs of the low RFI (LRFI) line were heavier at weaning, had greater glucose concentration, and lower levels of diarrhea at days 1 and 2 than pigs from the high RFI (HRFI) line (P < 0.01). At day 42, there was no BW difference between lines, and G:F ratio did not differ between lines (P = 0.40). The LRFI pigs had lower feed intake and growth rate from day 0 to day 19 (P < 0.005), and greater plasma concentration of non-esterified fatty acid (P < 0.001), indicating an increased mobilization of body lipids and proteins immediately after weaning compared with HRFI pigs. They also had greater levels of diarrhea at day 6 (22% for LRFI vs. 14% for HRFI, P = 0.002), but the concentration of plasma haptoglobin did not indicate acute inflammation. The complex diet sequence improved feed intake and growth, and reduced diarrhea, mainly in the LRFI line (P < 0.001). To conclude, pigs from the LRFI line were more negatively affected by weaning stress, but managed to recover afterwards. The complex diet sequence ameliorated some of the negative effects that weaning had on the LRFI pigs, but limited effects of nursery period feeding sequence on growth performance were observed during the growing-finishing period. [ABSTRACT FROM AUTHOR]
Published: 2019
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16. Gut microbiota composition in swine: genetic parameters and links with immunity traits

Author: Estelle Fabrellas, Jordi, Mach Casellas, Nuria, RAMAYO CALDAS, Yuliaxis, Levenez, Florence, Lemonnier, Gaetan, Denis, Catherine, Dore, Joel, Billon, Yvon, Mercat, Marie-José, Larzul, Catherine, Lepage, Patricia, Gaillard, Claire, Génétique Animale et Biologie Intégrative (GABI), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, MICrobiologie de l'ALImentation au Service de la Santé (MICALIS), Génétique, Expérimentation et Système Innovants (GenESI), Institut National de la Recherche Agronomique (INRA), Pôle génétique, Institut du Porc (IFIP), UE 1372 Génétique, Expérimentation et Système Innovants, Institut National de la Recherche Agronomique (INRA)-Génétique animale (G.A.)-Physiologie Animale et Systèmes d'Elevage (PHASE), Institut National de la Recherche Agronomique (INRA)-Génétique, Expérimentation et Système Innovants (GenESI), Institut du Porc, and AgroParisTech-Institut National de la Recherche Agronomique (INRA)
Subjects: pig, microbiote, gut microbiota, [SDV]Life Sciences [q-bio], immunity, genetic parameters, porcin, paramètre génétique, immunité
Abstract: absent
Published: 2014

17. Meiotic recombination analysis for individual chromosomes in male pigs

Author: Mary, Nicolas, Barasc, Harmonie, Ferchaud, Stéphane, Billon, Yvon, Meslier, Frederic, Robelin, David, Calgaro, Anne, Dudez, Anne-Marie, Bonnet, Nathalie, Yerle, Martine, Ducos, Alain, Pinton, Alain, Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), École nationale supérieure agronomique de Toulouse [ENSAT]-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, Expérimentation et Système Innovants (GenESI), Institut National de la Recherche Agronomique (INRA), and Centre National de la Recherche Scientifique (CNRS)
Subjects: pig, [SDV]Life Sciences [q-bio], meiotic, [INFO]Computer Science [cs], genetic, ComputingMilieux_MISCELLANEOUS
Abstract: International audience
Published: 2014

18. Selection for residual feed intake in growing pigs: Effects on sow performance in a tropical climate

Author: Renaudeau, David, Gourdine, Jean-Luc, Fleury, Jérôme, Ferchaud, Stephane, Billon, Yvon, NOBLET, Jean, Gilbert, Hélène, Physiologie, Environnement et Génétique pour l'Animal et les Systèmes d'Elevage [Rennes] (PEGASE), AGROCAMPUS OUEST-Institut National de la Recherche Agronomique (INRA), Unité de Recherches Zootechniques (URZ), Institut National de la Recherche Agronomique (INRA), Plateforme Tropicale d'Expérimentation sur l'Animal (PTEA), UE 1372 Génétique, Expérimentation et Système Innovants, Institut National de la Recherche Agronomique (INRA)-Génétique animale (G.A.)-Physiologie Animale et Systèmes d'Elevage (PHASE), Institut National de la Recherche Agronomique (INRA)-Génétique, Expérimentation et Système Innovants (GenESI), Génétique Physiologie et Systèmes d'Elevage (GenPhySE ), 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-École nationale supérieure agronomique de Toulouse [ENSAT], Génétique Animale et Biologie Intégrative (GABI), AgroParisTech-Institut National de la Recherche Agronomique (INRA), PIGFEED, 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), Génétique, Expérimentation et Système Innovants (GenESI), École nationale supérieure agronomique de Toulouse [ENSAT]-Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), and Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées
Subjects: pig, residual feed intake, [SDV]Life Sciences [q-bio], tropical environment, lactating sow, thermal stress
Abstract: The aim of the study was to evaluate the consequences of a divergent selection for residual feed intake (RFI) during growth in a temperate environment (TEMP) on sow performance in a tropical environment (TROP). Sows came from a selection experiment conducted at INRA in which 2 lines were selected for larger (RFI(+)) or smaller (RFI(─)) feed intake than predicted from performance. In the first analysis, a subsample of data obtained in TROP conditions (49 lactations) was compared to those obtained in TEMP on their sibs mated with the same boars (54 lactations). In the second analysis, data obtained in the TROP environment (82 lactations) were analyzed for testing the effect of season (warm vs. hot) and line on sow performance. Except for the lactation length, the interaction between line and climatic environment was not significant for the others traits (P > 0.05). The ADFI expressed per kilogram of litter BW gain tended to be higher in the RFI(+) line bred in the TROP environment (P = 0.080), together with piglet BW at weaning, which tended to be lower (P = 0.080). The ADFI was lower in TROP than in TEMP (4.56 vs. 5.86 kg/d; P = 0.003), with negative consequence on litter BW gain and maternal BW loss. The RFI(-) sows tended to eat less feed than RFI(+) sows during lactation (4.55 vs. 5.86 kg/d; P = 0.099). Litter BW at weaning was higher in the RFI(─) line. The RFI(─) sows ate significantly less feed to produce 1 kg of litter than the RFI(+) sows and tended to lose a larger amount of BW during lactation than the RFI(+) sows (2.40 vs. 3.02 kg/kg and -0.66 vs. -0.39 kg/d, respectively, P < 0.10). Whatever the line, ADFI was reduced by about 21% in the hot season (P < 0.05). Litter BW gain was depressed (P < 0.05) in the hot season (1.72 vs. 2.08 kg/d in the warm season; P = 0.023). Lactation maternal BW loss tended to increase in the hot season (1.10 vs. 0.71 kg/d in the warm season; P = 0.016), but back fat loss remained constant (P = 0.295). In the TROP environment, the amount of feed required to produce 1 kg of litter was not influenced by the line in the warm season (2.53 kg/kg on average; P = 0.99), but it tended to be lower in the RFI(─) line when compared to the RFI(+) line in the hot season (2.06 vs. 3.45 kg/kg; P = 0.050). This higher apparent efficiency in RFI(─) sows was mainly related to greater maternal body reserve mobilization (i.e., BW and back fat losses). In conclusion, selection for low RFI during growth in a TEMP environment did not impair sow and litter performance in tropical conditions.
Published: 2014

19. Time course study of the response to LPS targeting the pig immune gene networks.

Author: Terenina, Elena, Sautron, Valérie, Ydier, Caroline, Bazovkina, Darya, Sevin-Pujol, Amélie, Gress, Laure, Lippi, Yannick, Naylies, Claire, Billon, Yvon, Liaubet, Laurence, Mormede, Pierre, and Villa-Vialaneix, Nathalie
Subjects: HYDROCORTISONE, HYPOTHALAMIC-pituitary-adrenal axis, LIPOPOLYSACCHARIDES, LEUCOCYTES, ROBUST control
Abstract: Background: Stress is a generic term used to describe non-specific responses of the body to all kinds of challenges. A very large variability in the response can be observed across individuals, depending on numerous conditioning factors like genetics, early influences and life history. As a result, there is a wide range of individual vulnerability and resilience to stress, also called robustness. The importance of robustness-related traits in breeding strategies is increasing progressively towards the production of animals with a high level of production under a wide range of climatic conditions and management systems, together with a lower environmental impact and a high level of animal welfare. The present study aims at describing blood transcriptomic, hormonal, and metabolic responses of pigs to a systemic challenge using lipopolysaccharide (LPS). The objective is to analyze the individual variation of the biological responses in relation to the activity of the HPA axis measured by the levels of plasma cortisol after LPS and ACTH in 120 juvenile Large White (LW) pigs. The kinetics of the response was measured with biological variables and whole blood gene expression at 4 time points. A multilevel statistical analysis was used to take into account the longitudinal aspect of the data. Results: Cortisol level reaches its peak 4 h after LPS injection. The characteristic changes of white blood cell count to LPS were observed, with a decrease of total count, maximal at t = +4 h, and the mirror changes in the respective proportions of lymphocytes and granulocytes. The lymphocytes / granulocytes ratio was maximal at t = +1 h. An integrative statistical approach was used and provided a set of candidate genes for kinetic studies and ongoing complementary studies focused on the LPS-stimulated inflammatory response. Conclusions: The present study demonstrates the specific biomarkers indicative of an inflammation in swine. Furthermore, these stress responses persist for prolonged periods of time and at significant expression levels, making them good candidate markers for evaluating the efficacy of anti-inflammatory drugs. [ABSTRACT FROM AUTHOR]
Published: 2017
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20. Correlated responses in sow appetite, residual feed intake, body composition, and reproduction after divergent selection for residual feed intake in the growing pig

Author: Gilbert, Hélène, Bidanel, Jean Pierre, Billon, Yvon, Lagant, Herve, Guillouet, Philippe, Sellier, Pierre, NOBLET, Jean, Génétique Animale et Biologie Intégrative (GABI), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Laboratoire de Génétique Cellulaire (LGC), 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-Institut National de la Recherche Agronomique (INRA), Génétique Expérimentale en Productions Animales (GEPA), Institut National de la Recherche Agronomique (INRA), Insémination Caprine et Porcine (ICP), Systèmes d'élevage, nutrition animale et humaine (SENAH), AGROCAMPUS OUEST-Institut National de la Recherche Agronomique (INRA), AGBU, University of New England (UNE), Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, 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), and Gilbert, Hélène
Subjects: pig, sus scrofa, residual feed intake, animal diseases, [SDV.SA.SPA]Life Sciences [q-bio]/Agricultural sciences/Animal production studies, lactating sow, Science des productions animales, correlated response to selection, sow residual feed intake, Animal production studies, porc
Abstract: Chantier qualité GA; Residual feed intake (RFI) has been explored as an alternative selection criterion to feed conversion ratio to capture the fraction of feed intake not explained by expected production and maintenance requirements. Selection experiments have found that low RFI in the growing pig is genetically correlated with reduced fatness and feed intake. Selection for feed conversion ratio also reduces sow appetite and fatness, which, together with increased prolificacy, has been seen as a hindrance for sow lifetime performance. The aims of our study were to derive equations for sow RFI during lactation (SRFI) and to evaluate the effect of selection for RFI during growth on sow traits during lactation. Data were obtained on 2 divergent lines selected for 7 generations for low and high RFI during growth in purebred Large Whites. The RFI was measured on candidates for selection (1,065 pigs), and sow performance data were available for 480 sows having from 1 to 3 parities (1,071 parities). Traits measured were sow daily feed intake (SDFI); sow BW and body composition before farrowing and at weaning (28.4 +/- 1.7d); number of piglets born total, born alive, and surviving at weaning; and litter weight, average piglet BW, and within-litter SD of piglet BW at birth, 21 d of age (when creep feeding was available), and weaning. Sow RFI was defined as the difference between observed SDFI and SDFI predicted for sow maintenance and production. Daily production requirements were quantified by litter size and daily litter BW gain as well as daily changes in sow body reserves. The SRFI represented 24% of the phenotypic variability of SDFI. Heritability estimates for RFI and SRFI were both 0.14. The genetic correlation between RFI and SRFI was 0.29 +/- 0.23. Genetic correlations of RFI with sow traits were low to moderate, consistent with responses to selection; selection for low RFI during growth reduced SDFI and increased number of piglets and litter growth, but also increased mobilization of body reserves. No effect on rebreeding performance was found. Metabolic changes previously observed during growth in response to selection might explain part of the better efficiency of the low-RFI sows, decreasing basal metabolism and favoring rapid allocation of resources to lactation. We propose to consider SRFI as an alternative to SDFI to select for efficient sows with reduced input demands during lactation.
Published: 2012

21. Adaptation to heat in pig production : the genetic pathway

Author: Gourdine, Jean-Luc, Gilbert, Hélène, Riquet, Juliette, Renaudeau, David, Bidanel, Jean Pierre, San Cristobal, Magali, Liaubet, Laurence, Labrune, Yann, Gress, Laure, Feve, Katia, Villa-Vialaneix, Nathalie, Fleury, Jérôme, Anais, Caroline, Giorgi, Mario, Silou, Félix, Bructer, Mélain, Bocage, Bruno, Bénony, Katia, Beramice, David, Billon, Yvon, Bailly, Jean, Gerbe, Philippe, Meslier, Frederic, Epagneaud, Philippe, Le Bourhis, Christophe, Ferchaud, Stéphane, Staub, Christophe, Marie-Magdeleine, Carine, Philibert, Lucien, Unité de Recherches Zootechniques (URZ), 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, Génétique Animale et Biologie Intégrative (GABI), AgroParisTech-Institut National de la Recherche Agronomique (INRA), Université Paris 1 Panthéon-Sorbonne (UP1), Plateforme Tropicale d'Expérimentation sur l'Animal (PTEA), Génétique Expérimentale en Productions Animales (GEPA), Insémination Caprine et Porcine (ICP), Unité Expérimentale de Physiologie Animale de l‘Orfrasiére (UE PAO), INRA, ANR-12-ADAP-0015,Pig Heat Tolerance PigHeaT,Adaptation des porcs à la chaleur: la voie génétique(2012), Ecole Nationale Vétérinaire de Toulouse (ENVT), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut National de la Recherche Agronomique (INRA), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Université Panthéon-Sorbonne (UP1), UE 1297 Unité Expérimentale de Physiologie Animale de l'Orfrasière, Institut National de la Recherche Agronomique (INRA)-Physiologie Animale et Systèmes d'Elevage (PHASE), Institut National de la Recherche Agronomique (INRA)-Unité Expérimentale de Physiologie Animale de l'Orfrasière (UE PAO), and ANR
Subjects: pig, heat stress, [SDV.SA]Life Sciences [q-bio]/Agricultural sciences, genetic by environment interaction, climate change, transcriptomic, genetic, QTLs, integrated analysis, metabolomic
Abstract: "Chantier qualité spécifique "Auteurs Externes" département de Génétique animale : uniquement liaison auteur au référentiel HR-Access "; il s'agit d'un type de produit dont les métadonnées ne correspondent pas aux métadonnées attendues dans les autres types de produit : REPORT; The climate is changing and according to the recent estimates from the IPCC, the likelihood of heatwave events is expected to increase both in number and in intensity. Temperature is projected toincrease from 1.8 to 4.0°C from 1980-1999 to 2090-2099. Hence, heat stress-related costs in pigproduction will be amplified in the future, both in temperate areas (summer heat waves) and tropicalareas (hot and humid environment). Meanwhile, world pig production is moving rapidly to tropicaland subtropical regions reaching now more than 50% of the total production. The world developmentof pig production has been achieved through improvement of animal genetics and management intemperate countries. However, selection performed in optimally controlled conditions has increasedthe sensitivity of animals to high ambient temperature. Heat stressed pigs reduce their feed intakewhich impair their growth or reproduction performances. Management solutions are available toattenuate the effect of heat stress on pigs, such as environmental solutions (water or feedingmanagement). However, these solutions are technically and economically difficult to implement. Thegenetic selection for improving environmental adaptation in pig production is the most promising longterm option. The PigHeaT project aims 1) at identifying QTLs for heat adaptation, by examining directresponses to find genes involved in metabolic ways, indirect responses to find genes affecting growthor robustness to environmental variations, 2) at better understanding the physiological mechanismsunderlying heat adaptation. It will provide tools for improving breeding strategies to face theupcoming global warming, and knowledge to better comprehend the physiological reactions ofanimals submitted to short and long term heat stress. The PigHeaT project is based on originalbiological resources and original experimental facilities. The studied population will be a backcrossbetween Large White pigs, productive but poorly thermotolerant breed, and Creole pigs, lowproductive but highly thermotolerant breed. The progeny issued from this backcross will express allpossible levels of thermal tolerance and production performances when submitted to heat stress,depending on the alleles received from their parents. High throughput phenotyping, metabolomics onall the progeny, and transcriptomics on a subset of extreme pigs selected on thermal toleranceresponse, will be applied. It will allow to refine the phenotypes and to achieve a high level of accuracyin QTL detection in the frame of the PigHeaT project. Additionally, the design will benefit from theunique combination of experimental facilities available at INRA: the first part of the project will relyon the backcross population raised in the experimental facilities located in the West Indies(Guadeloupe, tropical environment). The concomitant production of the same population in theexperimental facilities available in temperate France (Charente Maritime) will allow the detection ofgenetic by environment (GxE) effects for the QTL detected in Guadeloupe. Moreover, a heat wavephenomenon will be systematically simulated in the temperate environment at the end of the growingperiod. As a result, chromosomal regions robust or susceptible to GxE interactions will be identified,GxE being either tropical vs temperate, or tropical vs heat wave. Finally, an integrated analysis of the(fine) phenotypes and QTL will be proposed to better understand the metabolic pathways involved inheat stress responses. The respective use of the QTL and biological knowledge in further breedingstrategies will finally be considered.
Published: 2012

22. Microsatellite mapping of quantitative trait loci affecting female reproductive tract characteristics in Meishan x Large White F2 pigs

Author: Rosendo, Adalberto, Iannuccelli, Nathalie, Gilbert, Hélène, Riquet, Juliette, Billon, Yvon, AMIGUES, YVES, Milan, Denis, Bidanel, Jean Pierre, Génétique Animale et Biologie Intégrative (GABI), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Laboratoire de Génétique Cellulaire (LGC), 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-Institut National de la Recherche Agronomique (INRA), Génétique Expérimentale en Productions Animales (GEPA), Institut National de la Recherche Agronomique (INRA), Laboratoire d'Analyse Génétique pour les Espèces Animales (LABOGENA), The experimental program was funded by the European Union (Bridge and Biotech+ programs), INRA (Department of Animal Genetics and AIP 'Structure des génomes animaux'), and the 'Groupement de recherches et études sur les génomes'., Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, and AgroParisTech-Institut National de la Recherche Agronomique (INRA)
Subjects: pig, gene mapping, quantitative trait loci, reproductive tract, [SDV.SA.SPA]Life Sciences [q-bio]/Agricultural sciences/Animal production studies, Science des productions animales, Animal production studies
Abstract: Chantier qualité GA; A QTL analysis of female reproductive data from a 3-generation experimental cross between Meishan and Large White pig breeds is presented. Six F1 boars and 23 F1 sows, progeny of 6 Large White boars and 6 Meishan sows, produced 502 F2 gilts whose reproductive tract was collected after slaughter at 30 d of gestation. Five traits [i.e., the total weight of the reproductive tract, of the empty uterine horns, of the ovaries (WOV), and of the embryos], as well as the length of uterine horns (LUH), were measured and analyzed with and without adjustment for litter size. Animals were genotyped for a total of 137 markers covering the entire porcine genome. Analyses were carried out based on interval mapping methods, using a line-cross regression and a half-full sib maximum likelihood test. A total of 18 genome-wide significant (P < 0.05) QTL were detected on 9 different chromosomes (i.e., SSC 1, 5, 6, 7, 9, 12, 13, 18, and X). Five genome-wide significant QTL were detected for LUH, 4 for weight of the empty uterine horns and WOV, 2 for total weight of the reproductive tract, and 1 for weight of the embryos. Twenty-two additional suggestive QTL were also detected. The largest effects were obtained for LUH and WOV on SSC13 (9.2 and 7.0% of trait phenotypic variance, respectively). Meishan alleles had both positive (e.g., on SSC7) and negative effects (e.g., on SSC13) on the traits investigated. Moreover, the QTL were generally not fixed in founder breeds, and opposite effects were in some cases obtained in different families. Although reproductive tract characteristics had only a moderate correlation with reproductive performances, most of the major QTL detected in this study were previously reported as affecting female reproduction, generally with reduced significance levels. This study thus shows that focusing on traits with high heritability might help to detect loci involved in low heritability major traits for breeding.
Published: 2012

23. Genetic correlations between males, females and castrates for residual feed intake, feed conversion ratio, growth rate and carcass composition traits in Large White growing pigs

Author: Saintilan, Romain, Sellier, Pierre, Billon, Yvon, Gilbert, Hélène, 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), and French National Research Agency (L'Agence Nationale de la Recherche, ANR) [ANR-08-GENM038 PIG_FEED]
Subjects: pig, [SDV.SA]Life Sciences [q-bio]/Agricultural sciences, feed conversion ratio, residual feel intake, genetic correlation, between sexe
Abstract: Chantier qualité GA; Data were collected in the course of a divergent selection experiment for residual feed intake (RFI) of Large White growing pigs. This data set was used to estimate (i) heritability for RFI and genetic correlations of RFI with growth and carcass traits within the three sexes (male, castrate and female) and (ii) genetic correlations between sexes for these traits. Individual feed intake of animals raised in collective pens was measured by single-place electronic feeders on 1121 males (candidates for selection), 508 females and 535 castrates (sibs of candidates). Variance components were estimated using the REML methodology applied to a multitrait animal model. Estimates of heritability for RFI were 0.16 ± 0.04, 0.16 ± 0.08 and 0.23 ± 0.10 for males, females and castrates, respectively. Estimates of genetic correlations between sexes for homologous traits were not significantly different from 1 (0.88 to 0.99 for RFI, 0.79 to 0.99 for growth traits and 0.65 to 0.99 for carcass composition traits). The relatively low genetic correlations between castrates and males or females for backfat thickness (0.65 and 0.69, respectively) suggest the presence of genotype by sex interactions for this trait.
Published: 2012

24. Neonatal mortality in piglets: genetics to improve behavioural vitality

Author: Dauberlieu, Anne, Billon, Yvon, Bailly, Jean, Launay, Irène, Lagant, Herve, Liaubet, Laurence, Riquet, Juliette, Canario, Laurianne, Laboratoire de Génétique Cellulaire (LGC), 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-Institut National de la Recherche Agronomique (INRA), Génétique Expérimentale en Productions Animales (GEPA), Institut National de la Recherche Agronomique (INRA), Génétique Animale et Biologie Intégrative (GABI), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, and European Federation of Animal Science (EAAP). INT.
Subjects: pig, neonatal, [SDV]Life Sciences [q-bio], genetic, mortality
Abstract: Maternal abilities and piglet vitality were analyzed on 24 Meishan (MS) and 24 Large White (LW) gilts. Females were inseminated with a mixture of semen from both breeds. Three MS and 3 LW boars were used to constitute 3 duos formed by mixing of MS and LW semen in equal proportions. Farrowing events were studied over 5 successive batches. The proportion of purebred and crossbred piglets within the litter varied according to the duo used and the dam breed (p
Published: 2011

25. A simple post-thawing quality threshold can improve in vivo fertility of frozen boar semen

Author: Ferchaud, Stephane, Boulot, S., Furstoss, Vincent, Billon, Yvon, Guillouet, Philippe, Gilbert, Hélène, Insémination Caprine et Porcine (ICP), Institut National de la Recherche Agronomique (INRA), Génétique Expérimentale en Productions Animales (GEPA), Génétique Animale et Biologie Intégrative (GABI), Institut National de la Recherche Agronomique (INRA)-AgroParisTech, and AgroParisTech-Institut National de la Recherche Agronomique (INRA)
Subjects: [SDV.SA]Life Sciences [q-bio]/Agricultural sciences, PIG, INSEMINATION, SEMEN QUALITY, FERTILITY, FROZEN BOAR SEMEN
Abstract: absent
Published: 2011

26. Microsatellite mapping of quantitative trait loci affecting meat quality, stress hormones and production traits in Duroc3Large White F2 pigs

Author: Sanchez, Marie Pierre, Iannuccelli, Nathalie, Basso, Benjamin, Foury, Aline, Billon, Yvon, Gandemer, Gilles, Gilbert, Hélène, Mormède, Pierre, Bidanel, Jean Pierre, Larzul, Catherine, Riquet, Juliette, Milan, Denis, Le Roy, Pascale, Génétique Animale et Biologie Intégrative (GABI), AgroParisTech-Institut National de la Recherche Agronomique (INRA), Laboratoire de Génétique Cellulaire (LGC), 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-Institut National de la Recherche Agronomique (INRA), Unité de Psychoneuroimmunologie, Nutrition et Génétique (PsyNuGen), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Recherche Agronomique (INRA)-Université Bordeaux Segalen - Bordeaux 2, Génétique Expérimentale en Productions Animales (GEPA), Institut National de la Recherche Agronomique (INRA), Services généraux de centre, Génétique Animale (GARen), Institut National de la Recherche Agronomique (INRA)-AGROCAMPUS OUEST-Ecole Nationale Supérieure Agronomique de Rennes-IFR140, Institut National de la Recherche Agronomique (INRA)-AgroParisTech, Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Vétérinaire de Toulouse (ENVT), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées, Université Bordeaux Segalen - Bordeaux 2-Institut National de la Recherche Agronomique (INRA)-Centre National de la Recherche Scientifique (CNRS), Services déconcentrés d'appui à la recherche Nouvelle-Aquitaine-Bordeaux (SDAR Nouvelle-Aquitaine-Bordeaux), 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, and IFR140-Ecole Nationale Supérieure Agronomique de Rennes-AGROCAMPUS OUEST-Institut National de la Recherche Agronomique (INRA)
Subjects: pig, qtl, meat quality, production, stress hormone, [SDV.SA.SPA]Life Sciences [q-bio]/Agricultural sciences/Animal production studies, food and beverages, Science des productions animales, Animal production studies
Abstract: An F2 cross between Duroc and Large White pigs was carried out in order to detect quantitative trait loci (QTL) for 11 meat quality traits (L*, a* and b* Minolta coordinates and water-holding capacity (WHC) of two ham muscles, ultimate pH of two ham and one loin muscles), 13 production traits (birth weight, average daily gain during post-weaning and fattening periods, carcass fat depths at three locations, estimated lean meat content, carcass length and weights of five carcass cuts) and three stress hormone-level traits (cortisol, adrenaline and noradrenaline). Animals from the three generations of the experimental design (including 456 F2 pigs) were genotyped for 91 microsatellite markers covering all the autosomes. A total of 56 QTL were detected: 49 reached the chromosome-wide level (suggestive QTL with a maximal probability of 0.05) and seven were significant at the genome-wide level (with a probability varying from 631024 to 331023). Twenty suggestive QTL were identified for ultimate pH, colour measurements and WHC on chromosome (SSC) 5, 6, 7, 8, 9, 11, 13, 14, 15 and 17. For production traits, 33 QTL were detected on all autosomes except SSC6, 8 and 9. Seven of these QTL, located on SSC2, 3, 10, 13, 16 and 17, exceeded the genome-wide significance threshold. Finally, three QTL were identified for levels of stress hormones: a QTL for cortisol level on SSC7 in the cortisol-binding globulin gene region, a QTL for adrenaline level on SSC10 and a QTL for noradrenaline level on SSC13. Among all the detected QTL, seven are described for the first time: a QTL for ultimate pH measurement on SSC5, two QTL affecting birth weight on SSC2 and 10, two QTL for growth rate on SSC15 (during fattening) and 17 (during post-weaning) and two QTL affecting the adrenaline and noradrenaline levels. For each QTL, only one to five of the six F1 sires were found to be heterozygous. It means that all QTL are segregating in at least one of the founder populations used in this study. These results suggest that both meat quality and production traits can be improved in purebred Duroc and Large White pigs through markerassisted selection. It is of particular interest for meat quality traits, which are difficult to include in classical selection programmes.
Published: 2011

27. Expression levels of 25 genes in liver and testis located in a QTL region for androstenone on SSC7q1.2

Author: Robic, Annie, Feve, Katia, Larzul, Catherine, Billon, Yvon, Van Son, M., Liaubet, Laurence, Sarry, Julien, Milan, Denis, Grindflek, E., Bidanel, Jean Pierre, Riquet, Juliette, 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), The production of backcrosses was financed by INRA. This expression study was funded by the AVAMIP (Agence de Valorisation de la Région Midi-Pyrénées) through the MipAndro7 project and by the EC-funded FP6 Project 'SABRE' (WP9)., 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: pig, qpcr, [SDV.SA]Life Sciences [q-bio]/Agricultural sciences, androstenone, ssc7, gene expression, fluidigm, testis, liver
Abstract: Chantier qualité GA; A quantitative trait locus (QTL) for boar fat androstenone levels has been identified near the SSC7 centromere in a Large White × Meishan cross. Backcrosses were produced to isolate the Chinese haplotype in a European genetic background. The expression of 25 genes from the QTL region was studied in the testes and livers of 5-month-old backcross boars, with the aim of identifying the causal gene. Using Fluidigm, a new high-throughput technology, the expression of 25 genes was measured in a single real-time PCR experiment. This study found six significantly down-regulated genes (C6ORF106, C6ORF81, CLPS, SLC26A8, SRPK1 and MAPK14) in the testes of MS-LW backcross boars. However, according to current knowledge, none of the genes appear to be related to androstenone metabolism. In the livers, none of the genes were significantly up- or down-regulated, including TEAD3, which was previously designated as a possible candidate to explain this QTL.
Published: 2011

28. Caractérisation du pattern d'empreinte parentale d'un QTL non mendélien dans la région d'IGF2 chez le porc

Author: Riquet, Juliette, Lahbib Mansais, Yvette, Sarry, Julien, Barasc, Harmonie, Feve, Katia, Vignoles, Florence, Billon, Yvon, Milan, Denis, Gellin, Joël, Yerle, Martine, 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 Expérimentale en Productions Animales (GEPA), and Institut National de la Recherche Agronomique (INRA)
Subjects: pig, gene igf2, [SDV]Life Sciences [q-bio], imprinting, igf2 gene, ComputingMilieux_MISCELLANEOUS
Abstract: National audience
Published: 2008

29. Comparison of maternal abilities of Meishan and Large White breeds in a loose-housing system

Author: Canario, Laurianne, Moigneau, Coralie, Billon, Yvon, Bidanel, Jean Pierre, Station de Génétique Quantitative et Appliquée (SGQA), Institut National de la Recherche Agronomique (INRA), Génétique Expérimentale en Productions Animales (GEPA), and ProdInra, Migration
Subjects: [SDV] Life Sciences [q-bio], pig, nursing behaviour, [SDV]Life Sciences [q-bio], farrowing behaviour, maternal abilities, ComputingMilieux_MISCELLANEOUS
Abstract: International audience
Published: 2007

30. Comparison of farrowing characteristics between Meishan and French pig breeds

Author: Laloë, Denis, Canario, Laurianne, Billon, Yvon, Bidanel, Jean Pierre, Station de Génétique Quantitative et Appliquée (SGQA), Institut National de la Recherche Agronomique (INRA), Génétique Expérimentale en Productions Animales (GEPA), and ProdInra, Migration
Subjects: [SDV] Life Sciences [q-bio], Farrowing characteristics, pig, Meishan, [SDV]Life Sciences [q-bio], ComputingMilieux_MISCELLANEOUS
Abstract: International audience
Published: 2006

31. Comparing the intestinal transcriptome of Meishan and Large White piglets during late fetal development reveals genes involved in glucose and lipid metabolism and immunity as valuable clues of intestinal maturity.

Author: Ying Yao, Voillet, Valentin, Jegou, Maeva, SanCristobal, Magali, Samir Dou, Romé, Véronique, Lippi, Yannick, Billon, Yvon, Père, Marie-Christine, Boudry, Gaëlle, Gress, Laure, Iannucelli, Nathalie, Mormède, Pierre, Quesnel, Hélène, Canario, Laurianne, Liaubet, Laurence, and Huërou-Luron, Isabelle Le
Subjects: FETAL development, MOLECULAR genetics, GENOMES, GLYCOGENOLYSIS, IMMUNOLOGY
Abstract: Background: Maturity of intestinal functions is critical for neonatal health and survival, but comprehensive description of mechanisms underlying intestinal maturation that occur during late gestation still remain poorly characterized. The aim of this study was to investigate biological processes specifically involved in intestinal maturation by comparing fetal jejunal transcriptomes of two representative porcine breeds (Large White, LW; Meishan, MS) with contrasting neonatal vitality and maturity, at two key time points during late gestation (gestational days 90 and 110). MS and LW sows inseminated with mixed semen (from breed LW and MS) gave birth to both purebred and crossbred fetuses. We hypothesized that part of the differences in neonatal maturity between the two breeds results from distinct developmental profiles of the fetal intestine during late gestation. Reciprocal crossed fetuses were used to analyze the effect of parental genome. Transcriptomic data and 23 phenotypic variables known to be associated with maturity trait were integrated using multivariate analysis with expectation of identifying relevant genes-phenotypic variable relationships involved in intestinal maturation. Results: A moderate maternal genotype effect, but no paternal genotype effect, was observed on offspring intestinal maturation. Four hundred and four differentially expressed probes, corresponding to 274 differentially expressed genes (DEGs), more specifically involved in the maturation process were further studied. In day 110-MS fetuses, Ingenuity® functional enrichment analysis revealed that 46% of DEGs were involved in glucose and lipid metabolism, cell proliferation, vasculogenesis and hormone synthesis compared to day 90-MS fetuses. Expression of genes involved in immune pathways including phagocytosis, inflammation and defense processes was changed in day 110-LW compared to day 90-LW fetuses (corresponding to 13% of DEGs). The transcriptional regulator PPARGC1A was predicted to be an important regulator of differentially expressed genes in MS. Fetal blood fructose level, intestinal lactase activity and villous height were the best predicted phenotypic variables with probes mostly involved in lipid metabolism, carbohydrate metabolism and cellular movement biological pathways.Conclusions: Collectively, our findings indicate that the neonatal maturity of pig intestine may rely on functional development of glucose and lipid metabolisms, immune phagocyte differentiation and inflammatory pathways. This process may partially be governed by PPARGC1A. [ABSTRACT FROM AUTHOR]
Published: 2017
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32. Time course of the response to ACTH in pig: biological and transcriptomic study.

Author: Sautron, Valérie, Terenina, Elena, Gress, Laure, Lippi, Yannick, Billon, Yvon, Larzul, Catherine, Liaubet, Laurence, Villa-Vialaneix, Nathalie, and Mormède, Pierre
Subjects: ADRENOCORTICOTROPIC hormone, HYDROCORTISONE, LABORATORY swine, GENE expression, LYMPHOCYTES, MONOCYTES, GLUCOCORTICOIDS, TRANSCRIPTION factors
Abstract: Background: HPA axis plays a major role in physiological homeostasis. It is also involved in stress and adaptive response to the environment. In farm animals in general and specifically in pigs, breeding strategies have highly favored production traits such as lean growth rate, feed efficiency and prolificacy at the cost of robustness. On the hypothesis that the HPA axis could contribute to the trade-off between robustness and production traits, we have designed this experiment to explore individual variation in the biological response to the main stress hormone, cortisol, in pigs. We used ACTH injections to trigger production of cortisol in 120 juvenile Large White (LW) pigs from 28 litters and the kinetics of the response was measured with biological variables and whole blood gene expression at 4 time points. A multilevel statistical analysis was used to take into account the longitudinal aspect of the data. Results: Cortisol level reached its peak 1 h after ACTH injection. White blood cell composition was modified with a decrease of lymphocytes and monocytes and an increase of granulocytes (FDR < 0.05). Basal level of cortisol was correlated with birth and weaning weights. Microarray analysis identified 65 unique genes of which expression responded to the injection of ACTH (adjusted P < 0.05). These genes were classified into 4 clusters with distinctive kinetics in response to ACTH injection. The first cluster identified genes strongly correlated to cortisol and previously reported as being regulated by glucocorticoids. In particular, DDIT4, DUSP1, FKBP5, IL7R, NFKBIA, PER1, RGS2 and RHOB were shown to be connected to each other by the glucocorticoid receptor NR3C1. Most of the differentially expressed genes that encode transcription factors have not been described yet as being important in transcription networks involved in stress response. Their co-expression may mean co-regulation and they could thus provide new patterns of biomarkers of the individual sensitivity to cortisol. Conclusions: We identified 65 genes as biological markers of HPA axis activation at the gene expression level. These genes might be candidates for a better understanding of the molecular mechanisms of the stress response. [ABSTRACT FROM AUTHOR]
Published: 2015
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33. Muscle transcriptomic investigation of late fetal development identifies candidate genes for piglet maturity

Author: Voillet, Valentin, SanCristobal, Magali, Lippi, Yannick, Martin, Pascal G. P., Iannuccelli, Nathalie, Lascor, Christine, Vignoles, Florence, Billon, Yvon, Canario, Laurianne, and Liaubet, Laurence
Abstract: Background: In pigs, the perinatal period is the most critical time for survival. Piglet maturation, which occurs at the end of gestation, leads to a state of full development after birth. Therefore, maturity is an important determinant of early survival. Skeletal muscle plays a key role in adaptation to extra-uterine life, e.g. glycogen storage and thermoregulation. In this study, we performed microarray analysis to identify the genes and biological processes involved in piglet muscle maturity. Progeny from two breeds with extreme muscle maturity phenotypes were analyzed at two time points during gestation (gestational days 90 and 110). The Large White (LW) breed is a selected breed with an increased rate of mortality at birth, whereas the Meishan (MS) breed produces piglets with extremely low mortality at birth. The impact of the parental genome was analyzed with reciprocal crossed fetuses. Results: Microarray analysis identified 12,326 differentially expressed probes for gestational age and genotype. Such a high number reflects an important transcriptomic change that occurs between 90 and 110 days of gestation. 2,000 probes, corresponding to 1,120 unique annotated genes, involved more particularly in the maturation process were further studied. Functional enrichment and graph inference studies underlined genes involved in muscular development around 90 days of gestation, and genes involved in metabolic functions, such as gluconeogenesis, around 110 days of gestation. Moreover, a difference in the expression of key genes, e.g. PCK2, LDHA or PGK1, was detected between MS and LW just before birth. Reciprocal crossing analysis resulted in the identification of 472 genes with an expression preferentially regulated by one parental genome. Most of these genes (366) were regulated by the paternal genome. Among these paternally regulated genes, some known imprinted genes, such as MAGEL2 or IGF2, were identified and could have a key role in the maturation process. Conclusion: These results reveal the biological mechanisms that regulate muscle maturity in piglets. Maturity is also under the conflicting regulation of the parental genomes. Crucial genes, which could explain the biological differences in maturity observed between LW and MS breeds, were identified. These genes could be excellent candidates for a key role in the maturity. [ABSTRACT FROM AUTHOR]
Published: 2014
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34. Discovery of Predictors of Mycoplasma hyopneumoniae Vaccine Response Efficiency in Pigs: 16S rRNA Gene Fecal Microbiota Analysis.

Author: Munyaka, Peris M., Blanc, Fany, Estellé, Jordi, Lemonnier, Gaëtan, Leplat, Jean-Jacques, Rossignol, Marie-Noëlle, Jardet, Déborah, Plastow, Graham, Billon, Yvon, Willing, Benjamin P., and Rogel-Gaillard, Claire
Subjects: VACCINE effectiveness, MYCOPLASMA hyopneumoniae, FECAL analysis, MICROBIAL metabolites, SWINE, RIBOSOMAL RNA
Abstract: The gut microbiota comprises a large and diverse community of bacteria that play a significant role in swine health. Indeed, there is a tight association between the enteric immune system and the overall composition and richness of the microbiota, which is key in the induction, training and function of the host immunity, and may therefore, influence the immune response to vaccination. Using vaccination against Mycoplasma hyopneumoniae (M. hyo) as a model, we investigated the potential of early-life gut microbiota in predicting vaccine response and explored the post-vaccination dynamics of fecal microbiota at later time points. At 28 days of age (0 days post-vaccination; dpv), healthy piglets were vaccinated, and a booster vaccine was administered at 21 dpv. Blood samples were collected at 0, 21, 28, 35, and 118 dpv to measure M. hyo-specific IgG levels. Fecal samples for 16S rRNA gene amplicon sequencing were collected at 0, 21, 35, and 118 dpv. The results showed variability in antibody response among individual pigs, whilst pre-vaccination operational taxonomic units (OTUs) primarily belonging to Prevotella, [Prevotella], Anaerovibrio, and Sutterella appeared to best-predict vaccine response. Microbiota composition did not differ between the vaccinated and non-vaccinated pigs at post-vaccination time points, but the time effect was significant irrespective of the animals' vaccination status. Our study provides insight into the role of pre-vaccination gut microbiota composition in vaccine response and emphasizes the importance of studies on full metagenomes and microbial metabolites aimed at deciphering the role of specific bacteria and bacterial genes in the modulation of vaccine response. [ABSTRACT FROM AUTHOR]
Published: 2020
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35. Secreted Phosphoprotein 1 Expression in Endometrium and Placental Tissues of Hyperprolific Large White and Meishan Gilts1

Author: Hernandez, Silvia C., Hogg, Charis O., Billon, Yvon, Sanchez, Marie-Pierre, Bidanel, Jean-Pierre, Haley, Christopher S., Archibald, Alan L., and Ashworth, Cheryl J.
Published: 2013
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36. Effect of chronic and acute heat challenges on fecal microbiota composition, production, and thermoregulation traits in growing pigs,.

Author: Sciellour, Mathilde Le, Zemb, Olivier, Hochu, Isabelle, Riquet, Juliette, Gilbert, Hélène, Giorgi, Mario, Billon, Yvon, Gourdine, Jean-Luc, and Renaudeau, David
Subjects: *SWINE, *BODY temperature regulation, *HEAT, *SKIN temperature, *DISCRIMINANT analysis, *MICROBIAL diversity, *BODY temperature
Abstract: The present study aimed at investigating the impact of heat challenges on gut microbiota composition in growing pigs and its relationship with pigs' performance and thermoregulation responses. From a total of 10 F1 sire families, 558 and 564 backcross Large White × Créole pigs were raised and phenotyped from 11 to 23 wk of age in temperate (TEMP) and in tropical (TROP) climates, respectively. In TEMP, all pigs were subjected to an acute heat challenge (3 wk at 29 °C) from 23 to 26 wk of age. Feces samples were collected at 23 wk of age both in TEMP and TROP climate (TEMP23 and TROP23 samples, respectively) and at 26 wk of age in TEMP climate (TEMP26 samples) for 16S rRNA analyses of fecal microbiota composition. The fecal microbiota composition significantly differed between the 3 environments. Using a generalized linear model on microbiota composition, 182 operational taxonomic units (OTU) and 2 pathways were differentially abundant between TEMP23 and TEMP26, and 1,296 OTU and 20 pathways between TEMP23 and TROP23. Using fecal samples collected at 23 wk of age, pigs raised under the 2 climates were discriminated with 36 OTU using a sparse partial least square discriminant analysis that had a mean classification error-rate of 1.7%. In contrast, pigs in TEMP before the acute heat challenge could be discriminated from the pigs in TEMP after the heat challenge with 32 OTU and 9.3% error rate. The microbiota can be used as biomarker of heat stress exposition. Microbiota composition revealed that pigs were separated into 2 enterotypes. The enterotypes were represented in both climates. Whatever the climate, animals belonging to the Turicibacter – Sarcina – Clostridium sensu stricto dominated enterotype were 3.3 kg heavier (P < 0.05) at 11 wk of age than those belonging to the Lactobacillus -dominated enterotype. This latter enterotype was related to a 0.3 °C lower skin temperature (P < 0.05) at 23 wk of age. Following the acute heat challenge in TEMP, this enterotype had a less-stable rectal temperature (0.34 vs. 0.25 °C variation between weeks 23 and 24, P < 0.05) without affecting growth performance (P > 0.05). Instability of the enterotypes was observed in 34% of the pigs, switching from an enterotype to another between 23 and 26 wk of age after heat stress. Despite a lower microbial diversity, the Turicibacter – Sarcina – Clostridium sensu stricto dominated enterotype was better adapted to heat stress conditions with lower thermoregulation variations. [ABSTRACT FROM AUTHOR]
Published: 2019
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37. Acute social stress-induced immunomodulation in pigs high and low responders to ACTH.

Author: Bacou, Elodie, Haurogné, Karine, Mignot, Grégoire, Allard, Marie, De Beaurepaire, Laurence, Marchand, Jordan, Terenina, Elena, Billon, Yvon, Jacques, Julien, Bach, Jean-Marie, Mormède, Pierre, Hervé, Julie, and Lieubeau, Blandine
Subjects: *SWINE physiology, *IMMUNOREGULATION, *ADRENOCORTICOTROPIC hormone, *HYPOTHALAMIC-pituitary-adrenal axis, *SWINE breeding, *INTERLEUKIN-8, *CD4 antigen
Abstract: Pig husbandry is known as an intensive breeding system, piglets being submitted to multiple stressful events such as early weaning, successive mixing, crowding and shipping. These stressors are thought to impair immune defences and might contribute, at least partly, to the prophylactic use of antibiotics. Robustness was recently defined as the ability of an individual to express a high-production potential in a wide variety of environmental conditions. Increasing robustness thus appears as a valuable option to improve resilience to stressors and could be obtained by selecting piglets upon their adrenocortical activity. In this study, we aimed at depicting the consequences of an acute social stress on the immune capacity of piglets genetically selected upon divergent hypothalamic-pituitary-adrenocortical (HPA) axis activity. For this purpose, we monitored neuroendocrine and immune parameters, in high- (HPA hi ) and low- (HPA lo ) responders to ACTH, just before and immediately after a one-hour mixing with unfamiliar conspecifics. As expected, stressed piglets displayed higher levels of circulating cortisol and norepinephrine. Blood cell count analysis combined to flow cytometry revealed a stress-induced leukocyte mobilization in the bloodstream with a specific recruitment of CD8α + lymphocytes. Besides, one-hour mixing decreased LPS-induced IL-8 and TNFα secretions in whole-blood assays (WBA) and reduced mononuclear cell phagocytosis. Altogether, our data demonstrate that acute social stress alters immune competence of piglets from both groups, and bring new insights in favour of good farming practices. While for most parameters high- and low-responders to ACTH behaved similarly, HPA hi piglets displayed higher number of CD4 + CD8α − T cells, as well as increased cytokine production in WBA (LPS-induced TNFα and PIL-induced IL-8), which could confer them increased resistance to pathogens. Finally, a principal component analysis including all parameters highlighted that overall stress effects were less pronounced on piglets with a strong HPA axis. Thus, selection upon adrenocortical axis activity seems to reduce the magnitude of response to stress and appears as a good tool to increase piglet robustness. [ABSTRACT FROM AUTHOR]
Published: 2017
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38. Adipokines expression profiles in both plasma and peri renal adipose tissue in Large White and Meishan sows: A possible involvement in the fattening and the onset of puberty.

Author: Barbe, Alix, Kurowska, Patrycja, Mlyczyńska, Ewa, Ramé, Christelle, Staub, Christophe, Venturi, Eric, Billon, Yvon, Rak, Agnieszka, and Dupont, Joëlle
Subjects: *WHITE adipose tissue, *ADIPOKINES, *ADIPOSE tissue diseases, *SOWS, *CHEMERIN, *BLOOD proteins
Abstract: • LEP, RARRES2 and RETN protein levels in plasma and WAT are higher in MS than LW sows. • ADIPOQ and ITLN1 protein levels in plasma and WAT are lower in MS than LW sows. • Plasma LEP and RARRES2 are positively associated with the BFT in MS and LW sows. • Plasma LEP and RARRES2 are negatively associated with the puberty age in MS and LW. • Plasma ADIPOQ is negatively linked to BFT and positively to the puberty age in MS and LW. In pig, backfat deposition is strongly related to the growth and reproductive performance. However, the molecular regulatory mechanisms of adipose tissue are not clearly understood. Adipose tissue is now recognized as an important endocrine organ that secretes a variety of factors including adipokines. However, the regulation of expression pattern of these adipokines in both plasma and visceral white adipose tissue (WAT) in lean and fat pig is unclear. In the present study, we used two representative porcine breeds (Large White, LW; Meishan, MS) with contrasting backfat thickness and sexual maturity age. Using specific ELISA assays, we determined the plasma profile of eight adipokines, leptin, adiponectin, visfatin, apelin, chemerin, resistin, omentin and vaspin in LW and MS sows. By RT-qPCR and western-blot we also investigated the mRNA and protein levels of these adipokines and their cognate receptors (LEPR, ADIPOR1, ADIPOR2, CMKLR1, CCRL2, GPR1, APLNR, TLR4, ROR1, CAP1 and HSPA5) in the peri renal WAT, respectively. At both plasma and peri renal WAT level, we found that the amounts of leptin, chemerin, resistin and vaspin were higher whereas those of adiponectin and omentin were lower in MS than LW sows. Plasma and adipose tissue visfatin and apelin levels were not different between the two breeds. Moreover, we noted that the variations of peri renal WAT adipokines observed between MS and LW were similar at the protein and mRNA level except for chemerin and apelin suggesting post-transcriptional modifications for these two adipokines. Finally, among the eight adipokines studied, we showed that only the plasma concentrations of leptin and chemerin were positively and those of adiponectin, negatively associated with the thickness of fat and opposite correlation was found for the onset of puberty in both LW and MS animals. Taken together, these results support a potential involvement of adipokines in WAT regulation and its link with the onset of the puberty in sows. [ABSTRACT FROM AUTHOR]
Published: 2020
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