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Lebret B, Lenoir H, Fonseca A, Riquet J, Mercat MJ. Finishing season and feeding resources influence the quality of products from extensive-system Gascon pigs. Part 2: muscle traits and sensory quality of dry-cured ham. Animal 2021; 15:100305. [PMID: 34294546 DOI: 10.1016/j.animal.2021.100305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Revised: 05/26/2021] [Accepted: 05/28/2021] [Indexed: 10/20/2022] Open
Abstract
The quality of pork products from local breeds in extensive systems depends, among other things, on pig production. In particular, the variability in climatic conditions and feeding resources may influence the properties of tissues at slaughter and the quality of pork and processed products. The present study (part 2) was part of a larger project that assessed the influence of the finishing season and feeding resources on carcass and tissue traits and the quality of meat and dry-cured ham from Gascon pigs in an extensive system. Following the specifications of the Protected Designation of Origin "Noir de Bigorre", castrated Gascon males were reared on rangelands (grassland and forest areas) and received a supplementary diet from 5 to 6 months of age until slaughter at a minimum of 12 months and ca. 170 kg BW. Three finishing seasons were considered: Winter (n = 18), Spring (n = 22) and Autumn (n = 23). To estimate the specific effects of season on quality traits and avoid bias due to effects of genes known to influence these traits, polymorphisms in the RYR1, PRKAG3, MC4R and LEPR genes were included in the analysis models. Compared to Winter pigs, Spring and Autumn pigs had higher ultimate pH in the semimembranosus and gluteus medius (GM) muscles, lower meat lightness (P < 0.05) and tended to have higher GM intramuscular fat (IMF) content (P < 0.10). They also had higher GM contents of saturated, monounsaturated and polyunsaturated fatty acids (FAs) than Winter pigs (P < 0.05). Spring pigs had the lowest n-6:n-3 polyunsaturated FA ratio and the highest GM α-tocopherol content (P < 0.001), indicating pig grazing. The finishing season did not influence the processing yield of dry-cured hams (24-month process). Within each seasonal group, ten hams selected for genetic variability and IMF content were analyzed by a trained sensory panel. The season did not modify the appearance or odor, but influenced texture and taste. Hams from Winter and Spring pigs had higher tenderness and melting fat scores than hams from Autumn pigs (P < 0.01). Hams from Spring pigs had higher taste intensity and salty taste (P < 0.01) but lower positive tastes (e.g. fruits, forest) than hams from the other groups. Overall, finishing season had moderate effects on ham sensory traits. Furthermore, our results reveal high redness, tenderness, taste and odor intensity, and low rancid flavor of hams from Gascon pigs produced in an extensive system.
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Affiliation(s)
- B Lebret
- PEGASE (Physiology, Environment, and Genetics for the Animal and Livestock Systems), INRAE (French National Research Institute for Agriculture, Food and Environment), Institut Agro, 35590 Saint-Gilles, France.
| | - H Lenoir
- IFIP (French Institute for Pig and Pork Industry), 35651 Le Rheu, France
| | - A Fonseca
- Consortium du Noir de Bigorre, 65290 Louey, France
| | - J Riquet
- GenPhySE (Genetics, Physiology and Livestock Systems), INRAE (French National Research Institute for Agriculture, Food and Environment), Université de Toulouse, 31320 Castanet-Tolosan, France
| | - M J Mercat
- IFIP (French Institute for Pig and Pork Industry), 35651 Le Rheu, France
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2
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Lebret B, Lenoir H, Daré S, Fonseca A, Fève K, Riquet J, Mercat MJ. Finishing season and feeding resources influence the quality of products from extensive-system Gascon pigs. Part 1: Carcass traits and quality of fresh loin. Animal 2021; 15:100240. [PMID: 34147409 DOI: 10.1016/j.animal.2021.100240] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Revised: 03/25/2021] [Accepted: 03/29/2021] [Indexed: 11/16/2022] Open
Abstract
Consumers perceive pork products from local breeds reared in extensive systems positively because of their specific quality properties and regional identity. The sensory, nutritional and technological qualities of these products depend, among other things, on pig production, especially its climatic conditions and the availability of feed resources, which can influence traits of muscle and fat tissue. The present study (part 1) was part of a larger project that assessed the influence of the finishing season and feeding resources on carcass and tissue traits and the quality of meat and dry-cured ham from Gascon pigs in an extensive system. Following the specifications of the Protected Designation of Origin "Noir de Bigorre", castrated Gascon males were reared on rangelands (grassland and forest areas) and received a supplementary diet from 5 to 6 months of age until slaughter at a minimum of 12 months of age and ca. 170 kg live weight. Three finishing seasons were considered as follows: Winter (n = 18), Spring (n = 22) and Autumn (n = 23). To estimate specific effects of season on productive and quality traits and avoid bias due to effects of genes known to influence these traits, polymorphisms in the RYR1, PRKAG3, MC4R and LEPR genes were included in the analysis models. The finishing season did not influence growth rate. Compared to Winter pigs, Spring and Autumn pigs had slightly lower carcass fatness (P < 0.05), higher ultimate pH and redder and darker color of the Longissimus muscle (LM) (P < 0.01). Loin drip loss was low overall, but was higher for Spring pigs, whereas cooking loss and shear force were similar among seasons. Spring pigs tended to have the lowest LM lipid content, whereas LM myoglobin content remained unaffected. Autumn pigs had lower potential of lipid oxidation in LM than Winter and Spring pigs (P < 0.01), but muscle metabolic traits assessed via glycolytic and oxidative enzyme activities did not differ among seasons. The finishing season modified the backfat fatty acid (FA) profile, with a lower polyunsaturated FA percentage in Autumn pigs than Winter or Spring pigs (P < 0.001), even though the saturated and monounsaturated FA percentages did not differ. In particular, Spring pigs had the lowest n-6:n-3 and C18:2:C18:3 ratios (P < 0.001), as a result of grazing. Overall, Spring and Autumn finishing seasons seem more favorable to technological and sensory pork attributes, with an additional positive effect of Spring finishing on pork nutritional value.
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Affiliation(s)
- B Lebret
- PEGASE (Physiology, Environment, and Genetics for the Animal and Livestock Systems), INRAE (French National Research Institute for Agriculture, Food and Environment), Institut Agro, 35590 Saint-Gilles, France.
| | - H Lenoir
- IFIP (French Institute for Pig and Pork Industry), 35651 Le Rheu, France
| | - S Daré
- PEGASE (Physiology, Environment, and Genetics for the Animal and Livestock Systems), INRAE (French National Research Institute for Agriculture, Food and Environment), Institut Agro, 35590 Saint-Gilles, France
| | - A Fonseca
- Consortium du Noir de Bigorre, 65290 Louey, France
| | - K Fève
- GenPhySE (Genetics, Physiology and Livestock Systems), INRAE (French National Research Institute for Agriculture, Food and Environment), Université de Toulouse, 31320 Castanet-Tolosan, France
| | - J Riquet
- GenPhySE (Genetics, Physiology and Livestock Systems), INRAE (French National Research Institute for Agriculture, Food and Environment), Université de Toulouse, 31320 Castanet-Tolosan, France
| | - M J Mercat
- IFIP (French Institute for Pig and Pork Industry), 35651 Le Rheu, France
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3
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Schiavo G, Bovo S, Muñoz M, Ribani A, Alves E, Araújo JP, Bozzi R, Čandek-Potokar M, Charneca R, Fernandez AI, Gallo M, García F, Karolyi D, Kušec G, Martins JM, Mercat MJ, Núñez Y, Quintanilla R, Radović Č, Razmaite V, Riquet J, Savić R, Usai G, Utzeri VJ, Zimmer C, Ovilo C, Fontanesi L. Runs of homozygosity provide a genome landscape picture of inbreeding and genetic history of European autochthonous and commercial pig breeds. Anim Genet 2021; 52:155-170. [PMID: 33544919 DOI: 10.1111/age.13045] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/15/2021] [Indexed: 12/12/2022]
Abstract
ROHs are long stretches of DNA homozygous at each polymorphic position. The proportion of genome covered by ROHs and their length are indicators of the level and origin of inbreeding. Frequent common ROHs within the same population define ROH islands and indicate hotspots of selection. In this work, we investigated ROHs in a total of 1131 pigs from 20 European local pig breeds and in three cosmopolitan breeds, genotyped with the GGP Porcine HD Genomic Profiler. plink software was used to identify ROHs. Size classes and genomic inbreeding parameters were evaluated. ROH islands were defined by evaluating different thresholds of homozygous SNP frequency. A functional overview of breed-specific ROH islands was obtained via over-representation analyses of GO biological processes. Mora Romagnola and Turopolje breeds had the largest proportions of genome covered with ROH (~1003 and ~955 Mb respectively), whereas Nero Siciliano and Sarda breeds had the lowest proportions (~207 and 247 Mb respectively). The highest proportion of long ROH (>16 Mb) was in Apulo-Calabrese, Mora Romagnola and Casertana. The largest number of ROH islands was identified in the Italian Landrace (n = 32), Cinta Senese (n = 26) and Lithuanian White Old Type (n = 22) breeds. Several ROH islands were in regions encompassing genes known to affect morphological traits. Comparative ROH structure analysis among breeds indicated the similar genetic structure of local breeds across Europe. This study contributed to understanding of the genetic history of the investigated pig breeds and provided information to manage these pig genetic resources.
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Affiliation(s)
- G Schiavo
- Department of Agricultural and Food Sciences, Division of Animal Sciences, University of Bologna, Viale Giuseppe Fanin 46, Bologna, 40127, Italy
| | - S Bovo
- Department of Agricultural and Food Sciences, Division of Animal Sciences, University of Bologna, Viale Giuseppe Fanin 46, Bologna, 40127, Italy
| | - M Muñoz
- Departamento Mejora Genética Animal, INIA, Crta. de la Coruña, km. 7,5, Madrid, 28040, Spain
| | - A Ribani
- Department of Agricultural and Food Sciences, Division of Animal Sciences, University of Bologna, Viale Giuseppe Fanin 46, Bologna, 40127, Italy
| | - E Alves
- Departamento Mejora Genética Animal, INIA, Crta. de la Coruña, km. 7,5, Madrid, 28040, Spain
| | - J P Araújo
- Centro de Investigação de Montanha (CIMO), Instituto Politécnico de Viana do Castelo, Escola Superior Agrária, Refóios do Lima, Ponte de Lima, 4990-706, Portugal
| | - R Bozzi
- DAGRI - Animal Science Division, Università di Firenze, Via delle Cascine 5, Firenze, 50144, Italy
| | - M Čandek-Potokar
- Kmetijski Inštitut Slovenije, Hacquetova 17, Ljubljana, SI-1000, Slovenia
| | - R Charneca
- Instituto de Ciências Agrárias e Ambientais Mediterrânicas, Universidade de Évora, Polo da Mitra, Apartado 94, Évora, 7006-554, Portugal
| | - A I Fernandez
- Departamento Mejora Genética Animal, INIA, Crta. de la Coruña, km. 7,5, Madrid, 28040, Spain
| | - M Gallo
- Associazione Nazionale Allevatori Suini, Via Nizza 53, Rome, 00198, Italy
| | - F García
- Departamento Mejora Genética Animal, INIA, Crta. de la Coruña, km. 7,5, Madrid, 28040, Spain
| | - D Karolyi
- Department of Animal Science, Faculty of Agriculture, University of Zagreb, Svetošimunska c. 25, Zagreb, 10000, Croatia
| | - G Kušec
- Faculty of Agrobiotechnical Sciences, University of Osijek, Vladimira Preloga 1, Osijek, 31000, Croatia
| | - J M Martins
- Instituto de Ciências Agrárias e Ambientais Mediterrânicas, Universidade de Évora, Polo da Mitra, Apartado 94, Évora, 7006-554, Portugal
| | - M-J Mercat
- IFIP Institut du porc, La Motte au Vicomte, BP 35104, Le Rheu Cedex, 35651, France
| | - Y Núñez
- Departamento Mejora Genética Animal, INIA, Crta. de la Coruña, km. 7,5, Madrid, 28040, Spain
| | - R Quintanilla
- Programa de Genética y Mejora Animal, IRTA, Torre Marimon, Caldes de Montbui, Barcelona, 08140, Spain
| | - Č Radović
- Department of Pig Breeding and Genetics, Institute for Animal Husbandry, Belgrade-Zemun, 11080, Serbia
| | - V Razmaite
- Animal Science Institute, Lithuanian University of Health Sciences, Baisogala, 82317, Lithuania
| | - J Riquet
- GenPhySE, Université de Toulouse, INRA, Chemin de Borde-Rouge 24, Auzeville Tolosane, Castanet Tolosan, 31326, France
| | - R Savić
- Faculty of Agriculture, University of Belgrade, Nemanjina 6, Belgrade-Zemun, 11080, Serbia
| | - G Usai
- Agris Sardegna, Loc. Bonassai, Sassari, 07100, Italy
| | - V J Utzeri
- Department of Agricultural and Food Sciences, Division of Animal Sciences, University of Bologna, Viale Giuseppe Fanin 46, Bologna, 40127, Italy
| | - C Zimmer
- Bäuerliche Erzeugergemeinschaft Schwäbisch Hall, Haller Str. 20, Wolpertshausen, 74549, Germany
| | - C Ovilo
- Departamento Mejora Genética Animal, INIA, Crta. de la Coruña, km. 7,5, Madrid, 28040, Spain
| | - L Fontanesi
- Department of Agricultural and Food Sciences, Division of Animal Sciences, University of Bologna, Viale Giuseppe Fanin 46, Bologna, 40127, Italy
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Bovo S, Ribani A, Muñoz M, Alves E, Araujo JP, Bozzi R, Charneca R, Di Palma F, Etherington G, Fernandez AI, García F, García-Casco J, Karolyi D, Gallo M, Gvozdanović K, Martins JM, Mercat MJ, Núñez Y, Quintanilla R, Radović Č, Razmaite V, Riquet J, Savić R, Schiavo G, Škrlep M, Usai G, Utzeri VJ, Zimmer C, Ovilo C, Fontanesi L. Genome-wide detection of copy number variants in European autochthonous and commercial pig breeds by whole-genome sequencing of DNA pools identified breed-characterising copy number states. Anim Genet 2020; 51:541-556. [PMID: 32510676 DOI: 10.1111/age.12954] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/30/2020] [Indexed: 02/06/2023]
Abstract
In this study, we identified copy number variants (CNVs) in 19 European autochthonous pig breeds and in two commercial breeds (Italian Large White and Italian Duroc) that represent important genetic resources for this species. The genome of 725 pigs was sequenced using a breed-specific DNA pooling approach (30-35 animals per pool) obtaining an average depth per pool of 42×. This approach maximised CNV discovery as well as the related copy number states characterising, on average, the analysed breeds. By mining more than 17.5 billion reads, we identified a total of 9592 CNVs (~683 CNVs per breed) and 3710 CNV regions (CNVRs; 1.15% of the reference pig genome), with an average of 77 CNVRs per breed that were considered as private. A few CNVRs were analysed in more detail, together with other information derived from sequencing data. For example, the CNVR encompassing the KIT gene was associated with coat colour phenotypes in the analysed breeds, confirming the role of the multiple copies in determining breed-specific coat colours. The CNVR covering the MSRB3 gene was associated with ear size in most breeds. The CNVRs affecting the ELOVL6 and ZNF622 genes were private features observed in the Lithuanian Indigenous Wattle and in the Turopolje pig breeds respectively. Overall, the genome variability unravelled here can explain part of the genetic diversity among breeds and might contribute to explain their origin, history and adaptation to a variety of production systems.
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Affiliation(s)
- S Bovo
- Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Viale Fanin 46, Bologna, 40127, Italy
| | - A Ribani
- Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Viale Fanin 46, Bologna, 40127, Italy
| | - M Muñoz
- Departamento Mejora Genética Animal, INIA, Crta. de la Coruña, km. 7,5, Madrid, 28040, Spain
| | - E Alves
- Departamento Mejora Genética Animal, INIA, Crta. de la Coruña, km. 7,5, Madrid, 28040, Spain
| | - J P Araujo
- Centro de Investigação de Montanha, Instituto Politécnico de Viana do Castelo, Escola Superior Agrária, Refóios do Lima, Ponte de Lima, 4990-706, Portugal
| | - R Bozzi
- DAGRI - Animal Science Section, Università di Firenze, Via delle Cascine 5, Firenze, 50144, Italy
| | - R Charneca
- MED - Mediterranean Institute for Agriculture, Environment and Development, Universidade de Évora, Pólo da Mitra, Apartado 94, Évora, 7006-554, Portugal
| | - F Di Palma
- Earlham Institute, Norwich Research Park, Colney Lane, Norwich, NR47UZ, UK
| | - G Etherington
- Earlham Institute, Norwich Research Park, Colney Lane, Norwich, NR47UZ, UK
| | - A I Fernandez
- Departamento Mejora Genética Animal, INIA, Crta. de la Coruña, km. 7,5, Madrid, 28040, Spain
| | - F García
- Departamento Mejora Genética Animal, INIA, Crta. de la Coruña, km. 7,5, Madrid, 28040, Spain
| | - J García-Casco
- Departamento Mejora Genética Animal, INIA, Crta. de la Coruña, km. 7,5, Madrid, 28040, Spain
| | - D Karolyi
- Department of Animal Science, Faculty of Agriculture, University of Zagreb, Svetošimunska c. 25, Zagreb, 10000, Croatia
| | - M Gallo
- Associazione Nazionale Allevatori Suini, Via Nizza 53, Roma, 00198, Italy
| | - K Gvozdanović
- Faculty of Agrobiotechnical Sciences Osijek, University of Osijek, Vladimira Preloga 1, Osijek, 31000, Croatia
| | - J M Martins
- MED - Mediterranean Institute for Agriculture, Environment and Development, Universidade de Évora, Pólo da Mitra, Apartado 94, Évora, 7006-554, Portugal
| | - M J Mercat
- IFIP Institut Du Porc, La Motte au Vicomte, BP 35104, Le Rheu Cedex, 35651, France
| | - Y Núñez
- Departamento Mejora Genética Animal, INIA, Crta. de la Coruña, km. 7,5, Madrid, 28040, Spain
| | - R Quintanilla
- Programa de Genética y Mejora Animal, IRTA, Torre Marimon, Caldes de Montbui, Barcelona, 08140, Spain
| | - Č Radović
- Department of Pig Breeding and Genetics, Institute for Animal Husbandry, Belgrade-Zemun, 11080, Serbia
| | - V Razmaite
- Animal Science Institute, Lithuanian University of Health Sciences, R. Žebenkos 12, Baisogala, 82317, Lithuania
| | - J Riquet
- GenPhySE, INRA, Université de Toulouse, Chemin de Borde-Rouge 24, Auzeville Tolosane, Castanet Tolosan, 31326, France
| | - R Savić
- Faculty of Agriculture, University of Belgrade, Nemanjina 6, Belgrade-Zemun, 11080, Serbia
| | - G Schiavo
- Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Viale Fanin 46, Bologna, 40127, Italy
| | - M Škrlep
- Kmetijski Inštitut Slovenije, Hacquetova 17, Ljubljana, SI-1000, Slovenia
| | - G Usai
- AGRIS SARDEGNA, Loc. Bonassai, Sassari, 07100, Italy
| | - V J Utzeri
- Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Viale Fanin 46, Bologna, 40127, Italy
| | - C Zimmer
- Bäuerliche Erzeugergemeinschaft Schwäbisch Hall, Haller Str. 20, Wolpertshausen, 74549, Germany
| | - C Ovilo
- Departamento Mejora Genética Animal, INIA, Crta. de la Coruña, km. 7,5, Madrid, 28040, Spain
| | - L Fontanesi
- Division of Animal Sciences, Department of Agricultural and Food Sciences, University of Bologna, Viale Fanin 46, Bologna, 40127, Italy
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Muñoz M, Bozzi R, García-Casco J, Núñez Y, Ribani A, Franci O, García F, Škrlep M, Schiavo G, Bovo S, Utzeri VJ, Charneca R, Martins JM, Quintanilla R, Tibau J, Margeta V, Djurkin-Kušec I, Mercat MJ, Riquet J, Estellé J, Zimmer C, Razmaite V, Araujo JP, Radović Č, Savić R, Karolyi D, Gallo M, Čandek-Potokar M, Fernández AI, Fontanesi L, Óvilo C. Genomic diversity, linkage disequilibrium and selection signatures in European local pig breeds assessed with a high density SNP chip. Sci Rep 2019; 9:13546. [PMID: 31537860 PMCID: PMC6753209 DOI: 10.1038/s41598-019-49830-6] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2019] [Accepted: 08/30/2019] [Indexed: 11/27/2022] Open
Abstract
Genetic characterization of local breeds is essential to preserve their genomic variability, to advance conservation policies and to contribute to their promotion and sustainability. Genomic diversity of twenty European local pig breeds and a small sample of Spanish wild pigs was assessed using high density SNP chips. A total of 992 DNA samples were analyzed with the GeneSeek Genomic Profiler (GGP) 70 K HD porcine genotyping chip. Genotype data was employed to compute genetic diversity, population differentiation and structure, genetic distances, linkage disequilibrium and effective population size. Our results point out several breeds, such as Turopolje, Apulo Calabrese, Casertana, Mora Romagnola and Lithuanian indigenous wattle, having the lowest genetic diversity, supported by low heterozygosity and very small effective population size, demonstrating the need of enhanced conservation strategies. Principal components analysis showed the clustering of the individuals of the same breed, with few breeds being clearly isolated from the rest. Several breeds were partially overlapped, suggesting genetic closeness, which was particularly marked in the case of Iberian and Alentejana breeds. Spanish wild boar was also narrowly related to other western populations, in agreement with recurrent admixture between wild and domestic animals. We also searched across the genome for loci under diversifying selection based on FST outlier tests. Candidate genes that may underlie differences in adaptation to specific environments and productive systems and phenotypic traits were detected in potentially selected genomic regions.
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Affiliation(s)
- M Muñoz
- Departamento Mejora Genética Animal, INIA, Madrid, Spain
| | - R Bozzi
- DAGRI, Animal Science Section, Università degli Studi di Firenze, Firenze, Italy
| | - J García-Casco
- Departamento Mejora Genética Animal, INIA, Madrid, Spain
| | - Y Núñez
- Departamento Mejora Genética Animal, INIA, Madrid, Spain
| | - A Ribani
- Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy
| | - O Franci
- DAGRI, Animal Science Section, Università degli Studi di Firenze, Firenze, Italy
| | - F García
- Departamento Mejora Genética Animal, INIA, Madrid, Spain
| | - M Škrlep
- Kmetijski inštitut Slovenije, Hacquetova ulica 17, SI-1000, Ljubljana, Slovenia
| | - G Schiavo
- Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy
| | - S Bovo
- Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy
| | - V J Utzeri
- Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy
| | - R Charneca
- Instituto de Ciências Agrárias e Ambientais Mediterrânicas (ICAAM), Universidade de Évora, Évora, Portugal
| | - J M Martins
- Instituto de Ciências Agrárias e Ambientais Mediterrânicas (ICAAM), Universidade de Évora, Évora, Portugal
| | - R Quintanilla
- IRTA, Programa de Genética y Mejora Animal, Barcelona, Spain
| | - J Tibau
- IRTA, Programa de Genética y Mejora Animal, Barcelona, Spain
| | - V Margeta
- Faculty of Agrobiotechnical Sciences Osijek, University of Osijek, Osijek, Croatia
| | - I Djurkin-Kušec
- Faculty of Agrobiotechnical Sciences Osijek, University of Osijek, Osijek, Croatia
| | - M J Mercat
- IFIP - Institut du Porc, Le Rheu, France
| | - J Riquet
- INRA, Génétique Physiologie et Système d'Elevage, Castanet-Tolosan, France
| | - J Estellé
- GABI, INRA, AgroParisTech, Université Paris-Saclay, Jouy-en-Josas, France
| | - C Zimmer
- Bäuerliche Erzeugergemeinschaft Schwäbisch Hall, Wolpertshausen, Germany
| | - V Razmaite
- Animal Science Institute, Lithuanian University of Health Sciences, Baisogala, Lithuania
| | - J P Araujo
- Centro de Investigação de Montanha (CIMO), Instituto Politécnico de Viana do Castelo, Escola Superior Agrária, Ponte de Lima, Portugal
| | - Č Radović
- Institute for Animal Husbandry-Pig Research Department, Autoput for Zagreb 16, 11080, Belgrade-Zemun, Serbia
| | - R Savić
- University of Belgrade, Faculty of agriculture, Nemanjina 6, 11080, Belgrade-Zemun, Serbia
| | - D Karolyi
- Department of Animal Science, University of Zagreb, Faculty of Agriculture, Zagreb, Croatia
| | - M Gallo
- Associazione Nazionale Allevatori Suini (ANAS), Roma, Italy
| | - M Čandek-Potokar
- Kmetijski inštitut Slovenije, Hacquetova ulica 17, SI-1000, Ljubljana, Slovenia
| | - A I Fernández
- Departamento Mejora Genética Animal, INIA, Madrid, Spain
| | - L Fontanesi
- Department of Agricultural and Food Sciences, University of Bologna, Bologna, Italy
| | - C Óvilo
- Departamento Mejora Genética Animal, INIA, Madrid, Spain.
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6
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Rosé R, Gilbert H, Loyau T, Giorgi M, Billon Y, Riquet J, Renaudeau D, Gourdine JL. Interactions between sire family and production environment (temperate vs. tropical) on performance and thermoregulation responses in growing pigs. J Anim Sci 2017; 95:4738-4751. [PMID: 29293699 PMCID: PMC6292322 DOI: 10.2527/jas2017.1611] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2017] [Accepted: 09/04/2017] [Indexed: 11/13/2022] Open
Abstract
The aim of this study was to evaluate the effect of 2 climatic environments (temperate [TEMP] vs. tropical humid [TROP]) on production and thermoregulation traits in growing pigs. A backcross design involving Large White (LW; heat sensitive) and Creole (CR; heat tolerant) pigs was studied. The same 10 F LW × CR boars were mated with related LW sows in each environment. A total of 1,298 backcross pigs ( = 634 pigs from 11 batches for the TEMP environment and = 664 pigs from 12 batches for the TROP environment) were phenotyped on BW (every 15 d from wk 11 to 23 of age), voluntary feed intake (ADFI, from wk 11 to 23), backfat thickness (BFT; at wk 19 and 23), skin temperature (ST; at wk 19 and 23), and rectal temperature (RT; at wk 19, 21, and 23). The feed conversion ratio was computed for the whole test period (11 to 23 wk). The calculation of the temperature-humidity index showed an average difference of 2.4°C between the TEMP and TROP environments. The ADG and ADFI were higher in the TEMP environment than in the TROP environment (834 vs. 754 g/d and 2.20 vs. 1.80 kg/d, respectively; < 0.001). Body temperatures were higher in the TROP environment than in the TEMP environment (35.9 vs. 34.8°C for ST and 39.5 vs. 39.3°C for RT, respectively; < 0.001). Most of the studied traits (i.e., BW, BFT, ADG, ADFI, and RT) were affected by sire family × environment interactions ( < 0.05), resulting in "robust" and "sensitive" families. Our results show a family dependency in the relationships between heat resistance and robustness, suggesting the possibility of finding genotypes with high production and low heat sensitivity. Further research is needed to confirm the genetic × environment interaction and to detect QTL related to heat tolerance.
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Affiliation(s)
- R. Rosé
- UR143 URZ, INRA, Petit-Bourg (Guadeloupe), France, F-97170
| | - H. Gilbert
- UMR1388 GenPhySE, INRA, Université de Toulouse, INP, ENSAT, ENVT, Castanet Tolosan, France, F-31326
| | - T. Loyau
- UR143 URZ, INRA, Petit-Bourg (Guadeloupe), France, F-97170
| | - M. Giorgi
- UE1294 PTEA, INRA, Petit-Bourg (Guadeloupe), France, F-97170
| | - Y. Billon
- UE1372 GenESI, INRA, Surgères, France, F-17700
| | - J. Riquet
- UR143 URZ, INRA, Petit-Bourg (Guadeloupe), France, F-97170
| | - D. Renaudeau
- UMR1348 PEGASE, INRA Agrocampus Ouest, St Gilles, France, F-35590
| | - J.-L. Gourdine
- UR143 URZ, INRA, Petit-Bourg (Guadeloupe), France, F-97170
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7
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Gilbert H, Billon Y, Brossard L, Faure J, Gatellier P, Gondret F, Labussière E, Lebret B, Lefaucheur L, Le Floch N, Louveau I, Merlot E, Meunier-Salaün MC, Montagne L, Mormede P, Renaudeau D, Riquet J, Rogel-Gaillard C, van Milgen J, Vincent A, Noblet J. Review: divergent selection for residual feed intake in the growing pig. Animal 2017; 11:1427-1439. [PMID: 28118862 PMCID: PMC5561440 DOI: 10.1017/s175173111600286x] [Citation(s) in RCA: 71] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2016] [Accepted: 12/13/2016] [Indexed: 12/22/2022] Open
Abstract
This review summarizes the results from the INRA (Institut National de la Recherche Agronomique) divergent selection experiment on residual feed intake (RFI) in growing Large White pigs during nine generations of selection. It discusses the remaining challenges and perspectives for the improvement of feed efficiency in growing pigs. The impacts on growing pigs raised under standard conditions and in alternative situations such as heat stress, inflammatory challenges or lactation have been studied. After nine generations of selection, the divergent selection for RFI led to highly significant (P<0.001) line differences for RFI (-165 g/day in the low RFI (LRFI) line compared with high RFI line) and daily feed intake (-270 g/day). Low responses were observed on growth rate (-12.8 g/day, P<0.05) and body composition (+0.9 mm backfat thickness, P=0.57; -2.64% lean meat content, P<0.001) with a marked response on feed conversion ratio (-0.32 kg feed/kg gain, P<0.001). Reduced ultimate pH and increased lightness of the meat (P<0.001) were observed in LRFI pigs with minor impact on the sensory quality of the meat. These changes in meat quality were associated with changes of the muscular energy metabolism. Reduced maintenance energy requirements (-10% after five generations of selection) and activity (-21% of time standing after six generations of selection) of LRFI pigs greatly contributed to the gain in energy efficiency. However, the impact of selection for RFI on the protein metabolism of the pig remains unclear. Digestibility of energy and nutrients was not affected by selection, neither for pigs fed conventional diets nor for pigs fed high-fibre diets. A significant improvement of digestive efficiency could likely be achieved by selecting pigs on fibre diets. No convincing genetic or blood biomarker has been identified for explaining the differences in RFI, suggesting that pigs have various ways to achieve an efficient use of feed. No deleterious impact of the selection on the sow reproduction performance was observed. The resource allocation theory states that low RFI may reduce the ability to cope with stressors, via the reduction of a buffer compartment dedicated to responses to stress. None of the experiments focussed on the response of pigs to stress or challenges could confirm this theory. Understanding the relationships between RFI and responses to stress and energy demanding processes, as such immunity and lactation, remains a major challenge for a better understanding of the underlying biological mechanisms of the trait and to reconcile the experimental results with the resource allocation theory.
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Affiliation(s)
- H. Gilbert
- GenPhySE, INRA, INP,
ENSAT, Université de Toulouse,
31326 Castanet-Tolosan, France
| | - Y. Billon
- GenESI, INRA, 17700
Surgères, France
| | - L. Brossard
- PEGASE, INRA, Agrocampus
Ouest, 35590 Saint-Gilles, France
| | - J. Faure
- PEGASE, INRA, Agrocampus
Ouest, 35590 Saint-Gilles, France
| | - P. Gatellier
- QuaPA, INRA, 63122 Saint
Genès-Champanelle, France
| | - F. Gondret
- PEGASE, INRA, Agrocampus
Ouest, 35590 Saint-Gilles, France
| | - E. Labussière
- PEGASE, INRA, Agrocampus
Ouest, 35590 Saint-Gilles, France
| | - B. Lebret
- PEGASE, INRA, Agrocampus
Ouest, 35590 Saint-Gilles, France
| | - L. Lefaucheur
- PEGASE, INRA, Agrocampus
Ouest, 35590 Saint-Gilles, France
| | - N. Le Floch
- PEGASE, INRA, Agrocampus
Ouest, 35590 Saint-Gilles, France
| | - I. Louveau
- PEGASE, INRA, Agrocampus
Ouest, 35590 Saint-Gilles, France
| | - E. Merlot
- PEGASE, INRA, Agrocampus
Ouest, 35590 Saint-Gilles, France
| | | | - L. Montagne
- PEGASE, INRA, Agrocampus
Ouest, 35590 Saint-Gilles, France
| | - P. Mormede
- GenPhySE, INRA, INP,
ENSAT, Université de Toulouse,
31326 Castanet-Tolosan, France
| | - D. Renaudeau
- PEGASE, INRA, Agrocampus
Ouest, 35590 Saint-Gilles, France
| | - J. Riquet
- GenPhySE, INRA, INP,
ENSAT, Université de Toulouse,
31326 Castanet-Tolosan, France
| | - C. Rogel-Gaillard
- GABI, INRA,
AgroParisTech, Université Paris-Saclay,
78350 Jouy-en-Josas Cedex, France
| | - J. van Milgen
- PEGASE, INRA, Agrocampus
Ouest, 35590 Saint-Gilles, France
| | - A. Vincent
- PEGASE, INRA, Agrocampus
Ouest, 35590 Saint-Gilles, France
| | - J. Noblet
- PEGASE, INRA, Agrocampus
Ouest, 35590 Saint-Gilles, France
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8
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Robic A, Feve K, Riquet J, Prunier A. Transcript levels of genes implicated in steroidogenesis in the testes and fat tissue in relation to androstenone accumulation in fat of pubertal pigs. Domest Anim Endocrinol 2016; 57:1-9. [PMID: 27285831 DOI: 10.1016/j.domaniend.2016.03.008] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2015] [Revised: 03/15/2016] [Accepted: 03/27/2016] [Indexed: 12/19/2022]
Abstract
The present study was performed to measure messenger RNA levels of steroidogenic enzymes in testes and fat tissue and determine whether they are related to fat androstenone level. Real-time polymerase chain reaction experiments were performed on 26 testes and 12 adipose tissue samples from pubertal boars using 21 genes. The absence of significant correlations between fat androstenone and the transcriptional activity of the SRD5A2 and SRD5A3 genes but the high correlation coefficient with that of the SRD5A1 gene (r = 0.62, P < 0.05) suggests that the enzyme coded by SRD5A1 is mainly responsible for the last step of androstenone synthesis. The testicular transcriptional activities of CYP17, CYP11A1, CYP19A, AKR1C-pig6, SRD5A1, LHCGR, and AR were significantly correlated. Only transcriptional levels of CYP17, CYP11A1, CYP19A, SRD5A1, and AKR1C-pig6 were correlated with the fat concentration of androstenone (0.57 < r < 0.70, P < 0.05) confirming that the amount of androstenone stored in fat is related to the production in testes of androstenone and more generally to all sex steroids. Altogether, our data are in favor of a preponderant role of AKR1C-pig6 instead of HSD17B3 for testicular synthesis of steroids. Concerning fat tissue, our data do not support a significant de novo biosynthesis of steroids in porcine adipose tissues. The presence of transcripts coding for steroid enzymes, especially those of AKR1C-pig6, suggests that steroids can be transformed. None of transcript abundance was related to androstenone accumulation (P > 0.1). Therefore, steroids synthesized elsewhere can be transformed in fat tissue but synthesis of androstenone is unlikely.
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Affiliation(s)
- A Robic
- GenPhySE, Université de Toulouse, INRA, INPT, ENVT, Castanet-Tolosan 31320, France.
| | - K Feve
- GenPhySE, Université de Toulouse, INRA, INPT, ENVT, Castanet-Tolosan 31320, France
| | - J Riquet
- GenPhySE, Université de Toulouse, INRA, INPT, ENVT, Castanet-Tolosan 31320, France
| | - A Prunier
- PEGASE, Agrocampus Ouest, INRA, Saint-Gilles 35590, France
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9
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Lahbib-Mansais Y, Marimon MM, Voillet V, Mompart F, Riquet J, Foissac S, Robelin D, Acloque H, Liaubet L, Bouissou-Matet Yerle M, Billon Y, Villa-Vialaneix N. P8001 3D nuclear positioning of IGF2 alleles and trans interactions with imprinted genes. J Anim Sci 2016. [DOI: 10.2527/jas2016.94supplement4181x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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10
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Banville M, Riquet J, Bahon D, Sourdioux M, Canario L. Genetic parameters for litter size, piglet growth and sow's early growth and body composition in the Chinese-European line Tai Zumu. J Anim Breed Genet 2014; 132:328-37. [PMID: 25424416 DOI: 10.1111/jbg.12122] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2014] [Accepted: 09/12/2014] [Indexed: 11/30/2022]
Abstract
Genetics of piglet growth in association with sow's early growth and body composition were estimated in the Tai Zumu line. Piglet and sow's litter growth traits were calculated from individual weights collected at birth and at 3 weeks of age. Sow's litter traits included the number of piglets born alive (NBA), the mean piglet weight (MW) and the standard deviation of weights within the litter (SDW). Sow's early growth was measured by the age at 100 kg (A100), and body composition included backfat thickness (BF100). A main objective of this study was to estimate separately the direct genetic effect (d) and the maternal genetic effect (m) on piglet weight and daily weight gain during lactation. Variance components were estimated using the restricted maximum likelihood methodology based on animal models. The heritability estimates were 0.19 for NBA, 0.15 and 0.26 for SDW and MW at 3 weeks and 0.42 and 0.70 for A100 and BF100. The NBA was almost independent from SDW. Conversely, the A100 and BF100 were correlated unfavourably with SDW (rg <-0.24, SE<0.12). A stronger selection for litter size should have little effect on litter homogeneity in weights. Selection for lean growth rate tends to favour heterogeneity in weights. The direct effect on piglet weight at birth and daily weight gain accounted for 12% (h(²) (d) = 0.02) and 50% (h(²) (d) = 0.11) of the genetic variance, respectively. The association between d and m for piglet weight was not different from zero at birth (rg = 0.19, SE = 0.27), but a strong antagonism between d and m for daily weight gain from birth to 3 weeks was found (rg = -0.41, SE = 0.17). Substantial direct and maternal genetic effects influenced piglet growth until weaning in opposite way.
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Affiliation(s)
- M Banville
- INRA, Génétique Physiologie et Systèmes d'Elevage (GenPhySE), Castanet-Tolosan, France.,Université de Toulouse, INP, ENSAT, Génétique Physiologie et Systèmes d'Elevage (GenPhySE), Castanet-Tolosan, France.,Université de Toulouse, INP, ENVT, Génétique Physiologie et Systèmes d'Elevage (GenPhySE), Toulouse, France.,GENE+, Erin, France
| | - J Riquet
- INRA, Génétique Physiologie et Systèmes d'Elevage (GenPhySE), Castanet-Tolosan, France.,Université de Toulouse, INP, ENSAT, Génétique Physiologie et Systèmes d'Elevage (GenPhySE), Castanet-Tolosan, France.,Université de Toulouse, INP, ENVT, Génétique Physiologie et Systèmes d'Elevage (GenPhySE), Toulouse, France
| | | | | | - L Canario
- INRA, Génétique Physiologie et Systèmes d'Elevage (GenPhySE), Castanet-Tolosan, France.,Université de Toulouse, INP, ENSAT, Génétique Physiologie et Systèmes d'Elevage (GenPhySE), Castanet-Tolosan, France.,Université de Toulouse, INP, ENVT, Génétique Physiologie et Systèmes d'Elevage (GenPhySE), Toulouse, France
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11
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Robic A, Larzul C, Grindflek E, Chevillon P, Hofer A, Fève K, Iannuccelli N, Milan D, Prunier A, Riquet J. Molecular characterization of the porcine TEAD3 (TEF-5) gene: examination of a promoter mutation as the causal mutation of a quantitative trait loci affecting the androstenone level in boar fat. J Anim Breed Genet 2011; 129:325-35. [DOI: 10.1111/j.1439-0388.2011.00979.x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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12
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Gondret F, Riquet J, Tacher S, Demars J, Sanchez MP, Billon Y, Robic A, Bidanel JP, Milan D. Towards candidate genes affecting body fatness at the SSC7 QTL by expression analyses. J Anim Breed Genet 2011; 129:316-24. [PMID: 22775264 DOI: 10.1111/j.1439-0388.2011.00965.x] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
A quantitative trait locus (QTL) affecting fatness in a way opposite to expectations based on breed means was mapped to swine chromosome 7 (SSC7) using crosses between Large White (LW) and Meishan (MS) founders. Defining the molecular fatness trait more explicitly would allow deducing positional candidate genes, for which expression differences must be analysed in experimental populations. First, mRNA levels of genes representing sequential steps in adipogenesis or involved in lipid metabolism were studied in backfat of pigs having homozygous LW(QTL7)/LW(QTL7) or heterozygous LW(QTL7)/MS(QTL7) alleles and considered at two ages. mRNA level of DLK1 expressed in preadipocytes was greater in MS(QTL7)/LW(QTL7) pigs than in homozygous pigs at 28 days. Transcript abundances of CEBPA involved in differentiation, the prolipogenic FASN gene and the adipocyte-specific marker FABP4 were lower in MS(QTL7)/LW(QTL7) pigs compared with LW(QTL7)/LW(QTL7) pigs at 150 days. Because these results suggest a lag time in terminal differentiation associated with the MS allele, seven genes in the QTL interval were deduced as promising candidates for the QTL effect by bioinformatics analysis. Among them, PPARD and CDKN1A had lower expression levels in MS(QTL7)/LW(QTL7) pigs at both ages. Genotype-related differences were observed in mRNA levels of PPARD target genes involved in cell differentiation (FZD7) or fatty acid oxidation (ACADL and ACOX1) at 150 days. These results re-evaluate the potential of PPARD to explain part of variation in pig adiposity.
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Affiliation(s)
- F Gondret
- INRA, UMR1079 Systèmes d'Elevage, Nutrition Animale et Humaine, Domaine de la Prise, Saint Gilles, France.
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13
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Rosendo A, Iannuccelli N, Gilbert H, Riquet J, Billon Y, Amigues Y, Milan D, Bidanel JP. Microsatellite mapping of quantitative trait loci affecting female reproductive tract characteristics in Meishan x Large White F(2) pigs. J Anim Sci 2011; 90:37-44. [PMID: 21948608 DOI: 10.2527/jas.2011-3989] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
A QTL analysis of female reproductive data from a 3-generation experimental cross between Meishan and Large White pig breeds is presented. Six F(1) boars and 23 F(1) sows, progeny of 6 Large White boars and 6 Meishan sows, produced 502 F(2) 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.
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Affiliation(s)
- A Rosendo
- INRA, UMR1313 Génétique Animale et Biologie Intégrative F-78350 Jouy-en-Josas, France
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14
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Robic A, Fève K, Larzul C, Billon Y, van Son M, Liaubet L, Sarry J, Milan D, Grindflek E, Bidanel JP, Riquet J. Expression levels of 25 genes in liver and testis located in a QTL region for androstenone on SSC7q1.2. Anim Genet 2011; 42:662-5. [PMID: 22035010 DOI: 10.1111/j.1365-2052.2011.02195.x] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
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.
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Affiliation(s)
- A Robic
- INRA, UMR444, Laboratoire de Génétique Cellulaire, Castanet-Tolosan, France.
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15
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Pinton A, Barasc H, Raymond Letron I, Bordedebat M, Mary N, Massip K, Bonnet N, Calgaro A, Dudez AM, Feve K, Riquet J, Yerle M, Ducos A. Meiotic studies of a 38,XY/39,XXY mosaic boar. Cytogenet Genome Res 2010; 133:202-8. [PMID: 21150170 DOI: 10.1159/000321794] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Klinefelter's syndrome (KS) is the most common sex chromosome abnormality identified in human males. This syndrome is generally associated with infertility. Men with KS may have a 47,XXY or a 46,XY/47,XXY karyotype. Studies carried out in humans and mice suggest that only XY cells are able to enter and complete meiosis. These cells could originate from the XY cells present in mosaic patients or from XXY cells that have lost one X chromosome. In pig, only 3 cases of pure 39,XXY have been reported until now, and no meiotic analysis was carried out. For the first time in pig species we report the analysis of a 38,XY/39,XXY boar and describe the origin of the supplementary X chromosome and the chromosomal constitutions of the germ and Sertoli cells.
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Affiliation(s)
- A Pinton
- UMR 444 INRA-ENVT Génétique Cellulaire, Toulouse, France.
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16
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Nikolic N, Fève K, Chevalet C, Høyheim B, Riquet J. A set of 37 microsatellite DNA markers for genetic diversity and structure analysis of Atlantic salmon Salmo salar populations. J Fish Biol 2009; 74:458-466. [PMID: 20735571 DOI: 10.1111/j.1095-8649.2008.02094.x] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2023]
Abstract
Atlantic salmon Salmo salar microsatellite markers from a large database were analysed and selected with technical, economic and genetic criteria to provide an optimized set of polymorphic DNA markers for the analysis of the genetic diversity and the structure of anadromous Atlantic salmon populations. A set of 37 microsatellite markers was identified that are easy to use and provide a high level of differentiation power.
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Affiliation(s)
- N Nikolic
- INRA, UMR444 Laboratoire de Génétique Cellulaire, Chemin de Borde Rouge BP 52627, 31326, Castanet Tolosan, France.
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17
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Sanchez MP, Riquet J, Iannuccelli N, Gogué J, Billon Y, Demeure O, Caritez JC, Burgaud G, Fève K, Bonnet M, Péry C, Lagant H, Le Roy P, Bidanel JP, Milan D. Effects of quantitative trait loci on chromosomes 1, 2, 4, and 7 on growth, carcass, and meat quality traits in backcross Meishan x Large White pigs. J Anim Sci 2007; 84:526-37. [PMID: 16478944 DOI: 10.2527/2006.843526x] [Citation(s) in RCA: 51] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
The aim of this work was to estimate whether genetic dissection of QTL on chromosomes 1, 2, 4, and 7, detected in an F2 Meishan x Large White population, can be achieved with a recombinant back-cross progeny test approach. For this purpose, a first generation of backcross (BC1) was produced by using frozen semen of F1 Large White x Meishan boars with Large White females. Four BC1 boars were selected because of their heterozygosity for at least 1 of the 4 regions. The BC1 boars were crossed with Large White sows, and the resulting BC2 offspring were measured for several growth and body composition traits. Contrary to the F2 animals, BC2 animals were also measured for meat quality traits in adductor, gluteus superficialis (GS), longissimus dorsi, and biceps femoris (BF) muscles. Each BC1 boar was tested for a total of 39 traits and for the 4 regions with statistical interval mapping analyses. The QTL effects obtained in BC1 families showed some differences compared with those described in F1 families. However, we confirmed QTL effects for growth in the SW1301-SW2512 markers interval on chromosome 1 and also for body composition in the SW1828-SW2512 markers interval on chromosome 1, in the SW2443-SWR783 markers interval on chromosome 2, and in the SW1369-SW632 markers interval on chromosome 7. In addition, we detected new QTL for growth traits on chromosome 2 and for meat quality traits on chromosomes 1 and 2. Growth of animals from weaning to the end of the test was influenced by the IGF2 gene region on chromosome 2. Concerning meat quality, ultimate pH of adductor, longissimus dorsi, and BF were affected by the interval delimited by UMNP3000 and SW2512 markers on chromosome 1, and a* of GS, L* of BF, and water-holding capacity of GS were affected by QTL located between marker loci SW2443 and SWR783 on chromosome 2. Recombinant progeny testing appeared to be a suitable strategy for the genetic dissection of the QTL investigated.
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Affiliation(s)
- M-P Sanchez
- Station de Génétique Quantitative et Appliquée, INRA, 78352 Jouy-en-Josas Cedex, France.
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18
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Demeure O, Sanchez MP, Riquet J, Iannuccelli N, Demars J, Fève K, Kernaleguen L, Gogué J, Billon Y, Caritez JC, Milan D, Bidanel JP. Exclusion of the swine leukocyte antigens as candidate region and reduction of the position interval for the Sus scrofa chromosome 7 QTL affecting growth and fatness1. J Anim Sci 2005; 83:1979-87. [PMID: 16100052 DOI: 10.2527/2005.8391979x] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Pig chromosome 7 (SSC 7) has been shown to be rich in QTL affecting performance and quality traits. Most studies mapped the QTL close to the swine leukocyte antigens (SLA), which has a large effect on adaptability and natural selection. Previous comparative mapping studies suggested that the 15-cM region limited by markers LRA1 (mapped at 55 cM) and S0102 (mapped at 70 cM) contains hundreds of genes. To decrease the number of candidate genes, we improved the mapping resolution with a genetic chromosome dissection through a backcross recombinant progeny test program between Meishan (MS) and European (EU; i.e., Large White or Landrace) breeds. Three first-generation backcross--(EU x MS) x EU--and two second-generation backcross--([EU x MS] x EU) x EU--sires carrying a recombination in the QTL mapping interval were progeny-tested (i.e., measured for a total of 44 growth, fatness, carcass and meat quality traits). Progeny family size varied from 29 to 119 pigs. Animals were genotyped for markers covering the region of interest. Progeny-test results allowed the QTL interval to be decreased from 15 to 20 cM down to 10 cM, and even less than 6 cM if we assumed that the EU pigs used in this study share only one QTL allele. Except for a putative QTL affecting some carcass composition traits, the SLA is excluded as a candidate region, suggesting that it might be possible to apply a marker-assisted selection strategy for this QTL, while controlling SLA allele diversity. The strong QTL effects remaining in animals with only 12.5% (issued from first-generation backcross boars) and 6.25% (issued from second-generation back-cross boars) Meishan genetic background shows that epistatic interactions are likely to be limited. Finally, the QTL does not have strong effects on meat quality traits.
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Affiliation(s)
- O Demeure
- Laboratoire de Génétique Cellulaire, INRA, BP27, 31326 Castanet-Tolosan, France
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19
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Demeure O, Liaubet L, Riquet J, Milan D. Determination of PRKAG1 coding sequence and mapping of PRKAG1 and PRKAG2 relatively to porcine back fat thickness QTL. Anim Genet 2004; 35:123-5. [PMID: 15025572 DOI: 10.1111/j.1365-2052.2004.01102.x] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
PRKAG1, PRKAG2 and PRKAG3 encode three isoforms of AMP-activated protein kinase gamma chain. A major effect on meat quality and a medium effect on back fat thickness of the RN- mutation in the PRKAG3 gene has previously been reported. We have now mapped PRKAG1 and PRKAG2 at expected locations on SSC5 and SSC18 by analysis of radiation hybrids (IMpRH panel). PRKAG2 has been mapped in a region where no quantitative trait loci (QTL) has been reported. PRKAG1 has been mapped close to (but probably outside) a region containing a QTL influencing fatness traits. We have determined the full coding sequence of PRKAG1. No missense mutation was identified when comparing the coding sequence of one Meishan and one Large White boars. Further work is, however, required to determine if a polymorphism in PRKAG1 could be responsible for a part of the variability observed on fatness traits.
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Affiliation(s)
- O Demeure
- Laboratoire de Génétique Cellulaire, INRA, BP 27, 31326 Castanet-Tolosan, France
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20
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Mulsant P, Lecerf F, Fabre S, Schibler L, Monget P, Lanneluc I, Pisselet C, Riquet J, Monniaux D, Callebaut I, Cribiu E, Thimonier J, Teyssier J, Bodin L, Cognié Y, Chitour N, Elsen JM. Mutation in bone morphogenetic protein receptor-IB is associated with increased ovulation rate in Booroola Mérino ewes. Proc Natl Acad Sci U S A 2001; 98:5104-9. [PMID: 11320249 PMCID: PMC33171 DOI: 10.1073/pnas.091577598] [Citation(s) in RCA: 299] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Ewes from the Booroola strain of Australian Mérino sheep are characterized by high ovulation rate and litter size. This phenotype is due to the action of the FecB(B) allele of a major gene named FecB, as determined by statistical analysis of phenotypic data. By genetic analysis of 31 informative half-sib families from heterozygous sires, we showed that the FecB locus is situated in the region of ovine chromosome 6 corresponding to the human chromosome 4q22-23 that contains the bone morphogenetic protein receptor IB (BMPR-IB) gene encoding a member of the transforming growth factor-beta (TGF-beta) receptor family. A nonconservative substitution (Q249R) in the BMPR-IB coding sequence was found to be associated fully with the hyperprolificacy phenotype of Booroola ewes. In vitro, ovarian granulosa cells from FecB(B)/FecB(B) ewes were less responsive than granulosa cells from FecB(+)/FecB(+) ewes to the inhibitory effect on steroidogenesis of GDF-5 and BMP-4, natural ligands of BMPR-IB. It is suggested that in FecB(B)/FecB(B) ewes, BMPR-IB would be inactivated partially, leading to an advanced differentiation of granulosa cells and an advanced maturation of ovulatory follicles.
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Affiliation(s)
- P Mulsant
- Institut National de la Recherche Agronomique, Laboratoire de Génétique Cellulaire, BP, 27, 31326 Castanet-Tolosan, France.
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21
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Riquet J, Coppieters W, Cambisano N, Arranz JJ, Berzi P, Davis SK, Grisart B, Farnir F, Karim L, Mni M, Simon P, Taylor JF, Vanmanshoven P, Wagenaar D, Womack JE, Georges M. Fine-mapping of quantitative trait loci by identity by descent in outbred populations: application to milk production in dairy cattle. Proc Natl Acad Sci U S A 1999; 96:9252-7. [PMID: 10430929 PMCID: PMC17766 DOI: 10.1073/pnas.96.16.9252] [Citation(s) in RCA: 87] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
We previously mapped a quantitative trait locus (QTL) affecting milk production to bovine chromosome 14. To refine the map position of this QTL, we have increased the density of the genetic map of BTA14q11-16 by addition of nine microsatellites and three single nucleotide polymorphisms. Fine-mapping of the QTL was accomplished by a two-tiered approach. In the first phase, we identified seven sires heterozygous "Qq" for the QTL by marker-assisted segregation analysis in a Holstein-Friesian pedigree comprising 1,158 individuals. In a second phase, we genotyped the seven selected sires for the newly developed high-density marker map and searched for a shared haplotype flanking an hypothetical, identical-by-descent QTL allele with large substitution effect. The seven chromosomes increasing milk fat percentage were indeed shown to carry a common chromosome segment with an estimated size of 5 cM predicted to contain the studied QTL. The same haplotype was shown to be associated with increased fat percentage in the general population as well, providing additional support in favor of the location of the QTL within the corresponding interval.
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Affiliation(s)
- J Riquet
- Department of Genetics, Faculty of Veterinary Medicine, University of Liège (B43), 20 Bd de Colonster, 4000-Liège, Belgium
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22
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Coppieters W, Riquet J, Arranz JJ, Berzi P, Cambisano N, Grisart B, Karim L, Marcq F, Moreau L, Nezer C, Simon P, Vanmanshoven P, Wagenaar D, Georges M. A QTL with major effect on milk yield and composition maps to bovine chromosome 14. Mamm Genome 1998; 9:540-4. [PMID: 9657851 DOI: 10.1007/s003359900815] [Citation(s) in RCA: 78] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
A whole genome scan was undertaken in a granddaughter design comprising 1158 progeny-tested bulls in order to map QTL influencing milk yield and composition. In this paper we report the identification of a locus on the centromeric end of bovine Chromosome (Chr) 14, with major effect on fat and protein percentage as well as milk yield. The genuine nature of this QTL was verified using the grand2-daughter design, that is, by tracing the segregating QTL alleles from heterozygous grandsires to their maternal grandsons and confirming the predicted QTL allele substitution effect.
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Affiliation(s)
- W Coppieters
- Department of Genetics, Faculty of Veterinary Medicine, University of Liège, Belgium
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23
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Arranz JJ, Coppieters W, Berzi P, Cambisano N, Grisart B, Karim L, Marcq F, Moreau L, Mezer C, Riquet J, Simon P, Vanmanshoven P, Wagenaar D, Georges M. A QTL affecting milk yield and composition maps to bovine chromosome 20: a confirmation. Anim Genet 1998; 29:107-15. [PMID: 9699270 DOI: 10.1046/j.1365-2052.1998.00307.x] [Citation(s) in RCA: 36] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
Abstract
As part of a whole genome scan undertaken to detect quantitative trait loci (QTL) affecting milk yield and composition, we have genotyped a granddaughter design comprising 1152 sons for six microsatellite markers spanning bovine chromosome 20. An analysis performed across families provided strong evidence (experiment-wise P-values < 0.01) for the presence of a QTL affecting primarily protein percentage towards the telomeric end of the chromosome. A founder sire, shown in a previous study to segregate for a similar QTL in the corresponding chromosome region, was characterized by 29 and 57 sons and maternal grandsons, respectively, in the present design. Sorting corresponding sons and grandsons by paternal or grandpaternal allele provided significant evidence for the segregation of a QTL on chromosome 20. Altogether these results confirm the location of a QTL affecting milk production on bovine chromosome 20.
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Affiliation(s)
- J J Arranz
- Department of Genetics, Faculty of Veterinary Medicine, University of Liège, Belgium
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24
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Grobet L, Martin LJ, Poncelet D, Pirottin D, Brouwers B, Riquet J, Schoeberlein A, Dunner S, Ménissier F, Massabanda J, Fries R, Hanset R, Georges M. A deletion in the bovine myostatin gene causes the double-muscled phenotype in cattle. Nat Genet 1997; 17:71-4. [PMID: 9288100 DOI: 10.1038/ng0997-71] [Citation(s) in RCA: 966] [Impact Index Per Article: 35.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023]
Abstract
An exceptional muscle development commonly referred to as 'double-muscled' (Fig. 1) has been seen in several cattle breeds and has attracted considerable attention from beef producers. Double-muscled animals are characterized by an increase in muscle mass of about 20%, due to general skeletal-muscle hyperplasia-that is, an increase in the number of muscle fibers rather than in their individual diameter. Although the hereditary nature of the double-muscled condition was recognized early on, the precise mode of inheritance has remained controversial; monogenic (domainant and recessive), oligogenic and polygenic models have been proposed. In the Belgian Blue cattle breed (BBCB), segregation analysis performed both in experimental crosses and in the outbred population suggested an autosomal recessive inheritance. This was confirmed when the muscular hypertrophy (mh) locus was mapped 3.1 cM from microsatellite TGLA44 on the centromeric end of bovine chromosome 2 (ref. 5). We used a positional candidate approach to demonstrate that a mutation in bovine MSTN, which encodes myostatin, a member of the TGF beta superfamily, is responsible for the double-muscled phenotype. We report an 11-bp deletion in the coding sequence for the bioactive carboxy-terminal domain of the protein causing the muscular hypertrophy observed in Belgian Blue cattle.
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Affiliation(s)
- L Grobet
- Department of Genetics, Faculty of Veterinary Medicine, University of Liège, Belgium
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25
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Robic A, Milan D, Woloszyn N, Riquet J, Yerle M, Nagel M, Bonnet M, Pinton P, Dalens M, Gellin J. Contribution to the physically anchored linkage map of the pig. Anim Genet 1997; 28:94-102. [PMID: 9172307 DOI: 10.1111/j.1365-2052.1997.00084.x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Thirty-three microsatellites have been mapped on the PiGMaP porcine genetic map. By comparison with the previously published PiGMaP maps, the maps of chromosome 2 (140 cM/70 cM) and chromosome 3 (180 cM/110 cM) were extended and new markers were mapped on the p-arm extremity of chromosome 7 and on the centromeric extremity of chromosome 15. New orders are proposed for markers on chromosomes 3 and 17. Six microsatellites isolated from cosmids were also localized on the cytogenetic map by fluorescent in situ hybridization. We tested the subcloning ligation mixture-polymerase chain reaction (SLiM-PCR) method for isolating microsatellites from cosmids. Subcloning is more effective when the cosmid harbours several microsatellites whereas SLiM-PCR is more straightforward when the cosmid contains a single microsatellite. Fifteen anonymous microsatellites were regionally assigned by using a hybrid cell panel. For map integration, the determination of a regional assignment of anonymous microsatellites by using a hybrid cell panel offers an alternative to microsatellite isolation from cosmids and their localizations by in situ hybridization.
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Affiliation(s)
- A Robic
- INRA, Laboratoire de Génétique Cellulaire, Tolosan, France
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26
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Goureau A, Yerle M, Schmitz A, Riquet J, Milan D, Pinton P, Frelat G, Gellin J. Human and porcine correspondence of chromosome segments using bidirectional chromosome painting. Genomics 1996; 36:252-62. [PMID: 8812451 DOI: 10.1006/geno.1996.0460] [Citation(s) in RCA: 286] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
The aim of this study was to determine the correspondence between human and porcine chromosome fragments using whole chromosome painting probes from both species in heterologous hybridization experiments (bidirectional heterologous chromosome painting). Bidirectional experiments allow the determination of segment-to-segment homologies between the chromosomes of these two species. Chromosome-specific painting probes from both species were, except one, obtained by DOP-PCR or PARM-PCR amplification of flow-sorted chromosomes. The probes labeled 95% of the total length of the porcine chromosomes with human painting probes and 60% of the human chromosomes in the reverse experiments. Syntenic relationships of chromosomal segments on the karyotype of both species were determined. There was close agreement between com- parative gene mapping data and the identified homologous segments; this comparison enabled orientation of the segments. We demonstrate that bidirectional heterologous chromosome painting is a highly efficient way of generating comparative cytogenetic maps.
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Affiliation(s)
- A Goureau
- Laboratoire de Génétique Cellulaire, Centre de Recherche INRA de Toulouse-Auzeville, Castanet Tolosan CEDEX, 31326, France
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27
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Robic A, Riquet J, Yerle M, Milan D, Lahbib-Mansais Y, Dubut-Fontana C, Gellin J. Porcine linkage and cytogenetic maps integrated by regional mapping of 100 microsatellites on somatic cell hybrid panel. Mamm Genome 1996; 7:438-45. [PMID: 8662227 DOI: 10.1007/s003359900129] [Citation(s) in RCA: 40] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Recently two main genetic maps [Rohrer et al. Genetics 136, 231 (1994); Archibald et al. Mamm. Genome 6, 157 (1995)] and a cytogenetic map [Yerle et al. Mamm. Genome 6, 175 (1995)] for the porcine genome were reported. As only a very few micro-satellites are located on the cytogenetic map, it appears to be important to increase the relationships between the genetic and cytogenetic maps. This document describes the regional mapping of 100 genetic markers with a somatic cell hybrid panel. Among the markers, 91 correspond to new localizations. Our study enabled the localization of 14 new markers found on both maps, of 54 found on the USDA map, and of 23 found on the PiGMaP map. Now 21% and 43% of the markers on the USDA and PiGMaP linkage maps respectively are physically mapped. This new cytogenetic information was then integrated within the framework of each genetic map. The cytogenetic orientation of the USDA linkage maps for Chromosomes (Chrs) 3, 8, 9, and 16 and of PiGMaP for Chr 8 was determined. USDA and PiGMaP linkage maps are now oriented for all chromosomes, except for Chrs 17 and 18. Moreover, the linkage group "R" from the USDA linkage map was assigned to Chr 6.
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Affiliation(s)
- A Robic
- INRA Laboratoire de Génétique Cellulaire, BP27, 31326 Castanet Tolosan Cedex, France
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28
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Riquet J, Schmitz A, Cruzel J, Mulsant P, Milan D, Gellin J. Assignment of markers by using polymerase chain reaction on pools of swine flow-sorted chromosomes. Anim Genet 1996; 27:133-6. [PMID: 8759112 DOI: 10.1111/j.1365-2052.1996.tb00940.x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Gene chromosomal assignment can be realized not only by somatic hybrid panels but also by spot-blot hybridization or polymerase chain reaction (PCR) of flow-sorted chromosomes. We propose a swine chromosome assignment strategy by PCR amplification on pooled chromosomal DNA, which allows assignment despite possible chromosomal contamination during sorting. Each pool contains three different chromosomes, each chromosome being present in one or two pools. We present concordant results obtained for eight markers already mapped to different swine chromosomes and we assign the somatostatin gene to chromosome 13, a new marker in the pig genome.
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Affiliation(s)
- J Riquet
- Laboratoire de Génétique Cellulaire, INRA BP27, Castanet Tolosan, France
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29
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Milan D, Riquet J, Yerle M, Goureau A, Schmitz A, Cribiu EP, Frelat G, Gellin J. Homologous and heterologous FISH painting with PARM-PCR chromosome-specific probes in mammals. Mamm Genome 1996; 7:194-9. [PMID: 8833239 DOI: 10.1007/s003359900053] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
Numerous loci can be amplified by PARM-PCR on 300 sorted chromosomes in low-stringency conditions (annealing at 30 degrees C during the two first cycles) to produce a probe that can be used in FISH painting experiments. We demonstrate that, depending on the primer chosen for the amplification, patterns of different quality can be obtained. In order to design a primer that allows amplification of coding sequences, we have shown that motifs of at least seven glutamic acid repeats (GAG or GAA codons) are present in human proteins more frequently than expected. Moreover, these repeats do not correspond to triplet expansion and can be conserved between species. Using probes prepared from sorted chromosomes with (GAG)7 primer, we were able to achieve homologous FISH painting on human, porcine, ovine, and bovine species, and bidirectional heterologous FISH painting between human and porcine species. As an example, using probes for human Chromosome (Chr) 19 and porcine Chrs 1 and 6, we clearly defined the regional homologies existing between those chromosomes.
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Affiliation(s)
- D Milan
- Laboratoire de Genetique Cellulaire, INRA, Castanet-Tolosan, France
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30
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Milan D, Woloszyn N, Yerle M, Le Roy P, Bonnet M, Riquet J, Lahbib-Mansais Y, Caritez JC, Robic A, Sellier P, Elsen JM, Gellin J. Accurate mapping of the "acid meat" RN gene on genetic and physical maps of pig chromosome 15. Mamm Genome 1996; 7:47-51. [PMID: 8903728 DOI: 10.1007/s003359900011] [Citation(s) in RCA: 29] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
It has been shown that a major gene, called RN, is responsible for the RTN technological yield, a meat quality porcine trait. Experimental families informative for the segregation of RN gene were constituted from animals belonging to the Laconie composite line. We have previously mapped the RN gene to Chromosome (Chr) 15 (Milan et al. Genet. Sel. Evol. 27, 195-199, 1995). A Chr 15 map was established with 16 markers. The RN gene was found to be located between markers Sw120 and Sw936, at 2 cM from Sw936 (LOD = 38.1). In addition, by localizing Sw936 at 15q21-22 using DISC-PCR, we also located RN on the physical map.
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Affiliation(s)
- D Milan
- Laboratoire de Genetique Cellulaire, INRA, Castanet Tolosan, France
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31
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Riquet J, Mulsant P, Yerle M, Cristobal-Gaudy MS, Le Tissier P, Milan D, Gellin J. Sequence analysis and genetic mapping of porcine chromosome 11 centromeric S0048 marker. Cytogenet Cell Genet 1996; 74:127-32. [PMID: 8893819 DOI: 10.1159/000134399] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
We report the existence of a new family of swine centromeric satellite DNA composed of a 51-bp repeat unit, most specifically found on pig chromosome 11 centromere and with less specificity at the centromeric region of other meta- and submetacentric chromosomes. This satellite DNA family, which has no homologies with the Mc1 and Ac2 families published previously, was named Mc2. We designed a specific primer set for PCR amplification of this centromeric satellite DNA. Specificity of amplification was checked by using a porcine somatic cell hybrid panel and by FISH. Furthermore, the development of a PCR-RFLP marker of Mc2 repetition allowed its genetic mapping on the PiGMaP reference families panel. The centromere of chromosome 11 was thus integrated to the genetic map previously published.
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Affiliation(s)
- J Riquet
- Laboratoire de Génétique Cellulaire, INRA BP27, Castanet-Tolosan France.
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32
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Yerle M, Echard G, Robic A, Mairal A, Dubut-Fontana C, Riquet J, Pinton P, Milan D, Lahbib-Mansais Y, Gellin J. A somatic cell hybrid panel for pig regional gene mapping characterized by molecular cytogenetics. Cytogenet Cell Genet 1996; 73:194-202. [PMID: 8697807 DOI: 10.1159/000134338] [Citation(s) in RCA: 175] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
A panel of 27 pig x rodent somatic cell hybrids was produced and characterized cytogenetically. The first step of this study consisted of hybridizing a SINE probe to GTG-banded metaphases of each hybrid clone in order to count and identify the normal pig chromosomes and to detect rearranged ones. The second step consisted of using the DNA of each clone as a probe after pIRS-PCR (porcine interspersed repetitive sequence-polymerase chain reaction) amplification to highly enrich it in pig sequences. These probes, hybridized to normal pig metaphase chromosomes, enabled the identification of the complete porcine complement in the hybrid lines. Whole chromosomes and fragments were characterized quickly and precisely, and results were compared. In addition to this cytogenetic characterization, molecular verification was also carried out by using primers specific to six microsatellites and to one gene previously mapped to pig chromosomes. The results obtained allow us to conclude that we have produced a panel that is informative for all porcine chromosomes. This panel constitutes a highly efficient tool to establish not only assignments of genes and markers but also regional localizations on pig chromosomes.
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Affiliation(s)
- M Yerle
- Laboratoire de Génétique Cellulaire, INRA, Castanet-Tolosan, France.
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33
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Riquet J, Milan D, Woloszyn N, Schmitz A, Pitel F, Frelat G, Gellin J. A linkage map with microsatellites isolated from swine flow-sorted chromosome 11. Mamm Genome 1995; 6:623-8. [PMID: 8535070 DOI: 10.1007/bf00352369] [Citation(s) in RCA: 13] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
We have developed a simple and efficient method to construct partial libraries of swine Chromosome (Chr) 11, starting with only 300 flow-sorted copies. DNA is amplified by PARM-PCR with primer containing at the 5'-end the sequence AGCU-. After amplification, digestion of PCR products with uracil DNA glycosylase generates cohesive ends corresponding to the SstI site. The amplified fragments can then be ligated in vector linearized with the SstI enzyme. Using five different primers, we PARM-PCR amplified and cloned swine Chr 11 DNA. These chromosome-specific libraries have been used to develop 14 different (TG)n microsatellites. Ten of these markers were assigned to Chr 11 by PCR analysis of a panel of Pig-Rodent somatic hybrids and by linkage analysis of the 171 individuals of the PiGMaP reference families. A complete linkage map of 147 cM of this chromosome was then realized by integrating existing markers.
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Affiliation(s)
- J Riquet
- Laboratoire de Génétique Cellulaire, INRA BP27, Castanet Tolosan, France
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Pitel F, Lantier I, Riquet J, Lanneluc I, Tabet-Aoul K, Saïdi-Mehtar N, Lantier F, Gellin J. Cloning, sequencing, and localization of an ovine fragment of the NRAMP gene, a candidate for the ITY/LSH/BCG gene. Mamm Genome 1994; 5:834-5. [PMID: 7894181 DOI: 10.1007/bf00292035] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Affiliation(s)
- F Pitel
- Laboratoire de Génétique Cellulaire, INRA-CRT, Castanet-Tolosan, France
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Affiliation(s)
- A Robic
- INRA, Laboratoire de Génétique Cellulaire, Castanet Tolosan, France
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Campinchi R, Riquet J, Bertrand C. [Soluble conjugated estrogens in the prevention of hemorrhages in eye surgery]. Bull Soc Ophtalmol Fr 1971; 71:335-6. [PMID: 4333300] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
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