Emily J Schulz, Sara M Nilson, Tom W Murphy, Brenda M Murdoch, Luiz F Brito, Ronald M Lewis, Jessica L Petersen
{"title":"美国朗布依在NSIP中与其他绵羊品种的遗传多样性。","authors":"Emily J Schulz, Sara M Nilson, Tom W Murphy, Brenda M Murdoch, Luiz F Brito, Ronald M Lewis, Jessica L Petersen","doi":"10.1093/jhered/esaf079","DOIUrl":null,"url":null,"abstract":"<p><p>Breed management and genomic evaluation rely on understanding population structure and genetic diversity. The primary objective of this study was to evaluate genetic diversity in Rambouillet enrolled in the National Sheep Improvement Program (NSIP) in comparison to other U.S. and international sheep breeds. We considered genotypes of 667 NSIP Rambouillet from a 50K single nucleotide polymorphism (SNP) array and 600K SNP genotypes on 64 each of NSIP Rambouillet, Suffolk, and Katahdin sheep. Pedigree analyses were also conducted on the NSIP Rambouillet. International comparisons incorporated 50K SNP data from 9 international breeds. After genomic quality control measures to reduce bias in analyses, the NSIP Rambouillet had the greatest diversity among the 3 NSIP breeds (expected heterozygosity: 0.404; average individual inbreeding: 9.94%). Conversely, the NSIP Rambouillet had the lowest genetic diversity when compared to the international breeds. Based on principal component analyses, NSIP Rambouillet were divergent from the international populations except for evidence of connectivity between the NSIP and European Rambouillet. Population structure within the NSIP Rambouillet, demonstrated by cluster analysis and a significant loss of heterozygosity (FIS) was driven primarily by one flock. Using complete pedigrees of the NSIP population, effective population size, effective number of founders, and average generation interval was 87 to 218, 95, and 3.4 yr, respectively. This pedigree and genomic assessment of genetic diversity provides the basis for genomic selection and monitoring of the NSIP Rambouillet.</p>","PeriodicalId":54811,"journal":{"name":"Journal of Heredity","volume":" ","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2025-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Genetic diversity of US Rambouillet in NSIP compared to other sheep breeds.\",\"authors\":\"Emily J Schulz, Sara M Nilson, Tom W Murphy, Brenda M Murdoch, Luiz F Brito, Ronald M Lewis, Jessica L Petersen\",\"doi\":\"10.1093/jhered/esaf079\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Breed management and genomic evaluation rely on understanding population structure and genetic diversity. The primary objective of this study was to evaluate genetic diversity in Rambouillet enrolled in the National Sheep Improvement Program (NSIP) in comparison to other U.S. and international sheep breeds. We considered genotypes of 667 NSIP Rambouillet from a 50K single nucleotide polymorphism (SNP) array and 600K SNP genotypes on 64 each of NSIP Rambouillet, Suffolk, and Katahdin sheep. Pedigree analyses were also conducted on the NSIP Rambouillet. International comparisons incorporated 50K SNP data from 9 international breeds. After genomic quality control measures to reduce bias in analyses, the NSIP Rambouillet had the greatest diversity among the 3 NSIP breeds (expected heterozygosity: 0.404; average individual inbreeding: 9.94%). Conversely, the NSIP Rambouillet had the lowest genetic diversity when compared to the international breeds. Based on principal component analyses, NSIP Rambouillet were divergent from the international populations except for evidence of connectivity between the NSIP and European Rambouillet. Population structure within the NSIP Rambouillet, demonstrated by cluster analysis and a significant loss of heterozygosity (FIS) was driven primarily by one flock. Using complete pedigrees of the NSIP population, effective population size, effective number of founders, and average generation interval was 87 to 218, 95, and 3.4 yr, respectively. 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Genetic diversity of US Rambouillet in NSIP compared to other sheep breeds.
Breed management and genomic evaluation rely on understanding population structure and genetic diversity. The primary objective of this study was to evaluate genetic diversity in Rambouillet enrolled in the National Sheep Improvement Program (NSIP) in comparison to other U.S. and international sheep breeds. We considered genotypes of 667 NSIP Rambouillet from a 50K single nucleotide polymorphism (SNP) array and 600K SNP genotypes on 64 each of NSIP Rambouillet, Suffolk, and Katahdin sheep. Pedigree analyses were also conducted on the NSIP Rambouillet. International comparisons incorporated 50K SNP data from 9 international breeds. After genomic quality control measures to reduce bias in analyses, the NSIP Rambouillet had the greatest diversity among the 3 NSIP breeds (expected heterozygosity: 0.404; average individual inbreeding: 9.94%). Conversely, the NSIP Rambouillet had the lowest genetic diversity when compared to the international breeds. Based on principal component analyses, NSIP Rambouillet were divergent from the international populations except for evidence of connectivity between the NSIP and European Rambouillet. Population structure within the NSIP Rambouillet, demonstrated by cluster analysis and a significant loss of heterozygosity (FIS) was driven primarily by one flock. Using complete pedigrees of the NSIP population, effective population size, effective number of founders, and average generation interval was 87 to 218, 95, and 3.4 yr, respectively. This pedigree and genomic assessment of genetic diversity provides the basis for genomic selection and monitoring of the NSIP Rambouillet.
期刊介绍:
Over the last 100 years, the Journal of Heredity has established and maintained a tradition of scholarly excellence in the publication of genetics research. Virtually every major figure in the field has contributed to the journal.
Established in 1903, Journal of Heredity covers organismal genetics across a wide range of disciplines and taxa. Articles include such rapidly advancing fields as conservation genetics of endangered species, population structure and phylogeography, molecular evolution and speciation, molecular genetics of disease resistance in plants and animals, genetic biodiversity and relevant computer programs.