Brasil
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Imputation of microsatellite alleles from dense SNP genotypes for parentage verification across multiple Bos taurus and Bos indicus breeds
Registro en:
Frontiers in Genetics, v. 4, p. 176-11, 2013.
1664-8021
10.3389/fgene.2013.00176
9991374083045897
Autor
Mcclure, Matthew C
Sonstegard, Tad S
Wiggans, George R
Van Eenennaam, Alison L
Weber, Kristina L
Penedo, Cecilia T
Berry, Donagh P
Flynn, John
Garcia, José Fernando [UNESP]
Carmo, Adriana S
Regitano, Luciana C A
Albuquerque, Milla
Silva, Marcos V G B
Machado, Marco A
Coffey, Mike
Moore, Kirsty
Boscher, Marie-yvonne
Genestout, Lucie
Mazza, Raffaele
Taylor, Jeremy F
Schnabel, Robert D
Simpson, Barry
Marques, Elisa
Mcewan, John C
Cromie, Andrew
Coutinho, Luiz L
Kuehn, Larry A
Keele, John W
Piper, Emily K
Cook, Jim
Williams, Robert
Van Tassell, Curtis P
Resumen
To assist cattle producers transition from microsatellite (MS) to single nucleotide polymorphism (SNP) genotyping for parental verification we previously devised an effective and inexpensive method to impute MS alleles from SNP haplotypes. While the reported method was verified with only a limited data set (N = 479) from Brown Swiss, Guernsey, Holstein, and Jersey cattle, some of the MS-SNP haplotype associations were concordant across these phylogenetically diverse breeds. This implied that some haplotypes predate modern breed formation and remain in strong linkage disequilibrium. To expand the utility of MS allele imputation across breeds, MS and SNP data from more than 8000 animals representing 39 breeds (Bos taurus and B. indicus) were used to predict 9410 SNP haplotypes, incorporating an average of 73 SNPs per haplotype, for which alleles from 12 MS markers could be accurately be imputed. Approximately 25% of the MS-SNP haplotypes were present in multiple breeds (N = 2 to 36 breeds). These shared haplotypes allowed for MS imputation in breeds that were not represented in the reference population with only a small increase in Mendelian inheritance inconsistancies. Our reported reference haplotypes can be used for any cattle breed and the reported methods can be applied to any species to aid the transition from MS to SNP genetic markers. While ~91% of the animals with imputed alleles for 12 MS markers had ≤1 Mendelian inheritance conflicts with their parents' reported MS genotypes, this figure was 96% for our reference animals, indicating potential errors in the reported MS genotypes. The workflow we suggest autocorrects for genotyping errors and rare haplotypes, by MS genotyping animals whose imputed MS alleles fail parentage verification, and then incorporating those animals into the reference dataset. USDA-ARS USDA National Research Initiative Competitive Integrated Bovine Functional Genomics Laboratory, BARC, Agriculture Research Service, United States Department of Agriculture, Beltsville, MD, USA Animal Improvement Programs Laboratory, BARC, Agriculture Research Service, United States Department of Agriculture, Beltsville, MD, USA Department of Animal Science, University of California-Davis, Davis, CA, USA Veterinary Genetics Laboratory, School of Veterinary Medicine, University of California-Davis, Davis, CA, USA Animal and Bioscience Research Department, Animal and Grassland Research and Innovation Centre, Teagasc, Moorepark, Ireland Weatherbys DNA Laboratory, Kildare, Ireland Universidade Estadual Paulista Júlio de Mesquita Filho, Departamento de Apoio a Produção e Saúde Animal, Faculdade de Medicina Veterinária, Araçatuba, Rua Clóvis Pestana, 793 - Laboratório de Bioquímica e Biologia Molecular Animal, Jardim Dona Amélia, CEP 16050680, SP, Brasil Deoxi Biotecnologia, Araçatuba, Brazil Embrapa Pecuária Sudeste, São Carlos, Brazil Department of Animal Science, College of Agriculture, University of Sao Paulo, Piracicaba, Brazil Embrapa Gado de Leite, Juiz de Fora, Brazil Animal and Veterinary Science, SRUC, Midlothian, Scotland LABOGENA, Jouy-en-Josas, France Coordinatore Laboratorio Genetica e Servizi, Associazione Italiana Allevatori - Italian Breeders Association, Roma, Italy Division of Animal Science, University of Missouri-Columbia, Columbia, MO, USA GeneSeek, Neogen Company, Lincoln, NE, USA AgResearch, Invermay Agricultural Centre, Mosgiel, New Zealand Irish Cattle Breeding Federation, Bandon, Ireland ESALQ – USP, Piracicaba, SP, Brazil Genetics, Breeding, and Animal Health Research Unit, U.S. Meat Animal Research Center, USDA-ARS, Clay Center, NE, USA Animal Genetics Laboratory, School of Veterinary Science, The University of Queensland, Gatton, QLD, Australia Animal Genetics and Breeding Unit, University of New England, Armidale, NSW, Australia American-International Charolais Association, Kansas City, MO, USA Universidade Estadual Paulista Júlio de Mesquita Filho, Departamento de Apoio a Produção e Saúde Animal, Faculdade de Medicina Veterinária, Araçatuba, Rua Clóvis Pestana, 793 - Laboratório de Bioquímica e Biologia Molecular Animal, Jardim Dona Amélia, CEP 16050680, SP, Brasil USDA-ARS: 1265-31000-104-00D USDA National Research Initiative Competitive Integrated: 2009-55205-05057 and 2009-65205-05635