Literature DB >> 27330040

Inference of population structure of purebred dairy and beef cattle using high-density genotype data.

M M Kelleher1, D P Berry1, J F Kearney2, S McParland1, F Buckley1, D C Purfield1.   

Abstract

Information on the genetic diversity and population structure of cattle breeds is useful when deciding the most optimal, for example, crossbreeding strategies to improve phenotypic performance by exploiting heterosis. The present study investigated the genetic diversity and population structure of the most prominent dairy and beef breeds used in Ireland. Illumina high-density genotypes (777 962 single nucleotide polymorphisms; SNPs) were available on 4623 purebred bulls from nine breeds; Angus (n=430), Belgian Blue (n=298), Charolais (n=893), Hereford (n=327), Holstein-Friesian (n=1261), Jersey (n=75), Limousin (n=943), Montbéliarde (n=33) and Simmental (n=363). Principal component analysis revealed that Angus, Hereford, and Jersey formed non-overlapping clusters, representing distinct populations. In contrast, overlapping clusters suggested geographical proximity of origin and genetic similarity between Limousin, Simmental and Montbéliarde and to a lesser extent between Holstein, Friesian and Belgian Blue. The observed SNP heterozygosity averaged across all loci was 0.379. The Belgian Blue had the greatest mean observed heterozygosity (HO=0.389) among individuals within breed while the Holstein-Friesian and Jersey populations had the lowest mean heterozygosity (HO=0.370 and 0.376, respectively). The correlation between the genomic-based and pedigree-based inbreeding coefficients was weak (r=0.171; P<0.001). Mean genomic inbreeding estimates were greatest for Jersey (0.173) and least for Hereford (0.051). The pair-wise breed fixation index (F st) ranged from 0.049 (Limousin and Charolais) to 0.165 (Hereford and Jersey). In conclusion, substantial genetic variation exists among breeds commercially used in Ireland. Thus custom-mating strategies would be successful in maximising the exploitation of heterosis in crossbreeding strategies.

Entities:  

Keywords:  fixation index; genetic diversity; phylogenetic; population structure

Mesh:

Year:  2016        PMID: 27330040     DOI: 10.1017/S1751731116001099

Source DB:  PubMed          Journal:  Animal        ISSN: 1751-7311            Impact factor:   3.240


  6 in total

1.  Characterization of copy number variants in a large multibreed population of beef and dairy cattle using high-density single nucleotide polymorphism genotype data.

Authors:  Pierce Rafter; Deirdre C Purfield; Donagh P Berry; Andrew C Parnell; I Claire Gormley; J Francis Kearney; Mike P Coffey; Tara R Carthy
Journal:  J Anim Sci       Date:  2018-09-29       Impact factor: 3.159

2.  Genetic covariance components within and among linear type traits differ among contrasting beef cattle breeds.

Authors:  Jennifer L Doyle; Donagh P Berry; Siobhan W Walsh; Roel F Veerkamp; Ross D Evans; Tara R Carthy
Journal:  J Anim Sci       Date:  2018-05-04       Impact factor: 3.159

3.  Genetic Differentiation among Livestock Breeds-Values for Fst.

Authors:  Stephen J G Hall
Journal:  Animals (Basel)       Date:  2022-04-26       Impact factor: 3.231

4.  Uncovering Sub-Structure and Genomic Profiles in Across-Countries Subpopulations of Angus Cattle.

Authors:  Diercles Francisco Cardoso; Gerardo Alves Fernandes Júnior; Daiane Cristina Becker Scalez; Anderson Antonio Carvalho Alves; Ana Fabrícia Braga Magalhães; Tiago Bresolin; Ricardo Vieira Ventura; Changxi Li; Márcia Cristina de Sena Oliveira; Laercio Ribeiro Porto-Neto; Roberto Carvalheiro; Henrique Nunes de Oliveira; Humberto Tonhati; Lucia Galvão Albuquerque
Journal:  Sci Rep       Date:  2020-05-29       Impact factor: 4.379

5.  Balancing selection on a recessive lethal deletion with pleiotropic effects on two neighboring genes in the porcine genome.

Authors:  Martijn F L Derks; Marcos S Lopes; Mirte Bosse; Ole Madsen; Bert Dibbits; Barbara Harlizius; Martien A M Groenen; Hendrik-Jan Megens
Journal:  PLoS Genet       Date:  2018-09-19       Impact factor: 5.917

Review 6.  Genomic Analysis, Progress and Future Perspectives in Dairy Cattle Selection: A Review.

Authors:  Miguel A Gutierrez-Reinoso; Pedro M Aponte; Manuel Garcia-Herreros
Journal:  Animals (Basel)       Date:  2021-02-25       Impact factor: 3.231

  6 in total

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