ArticleScientific reports2017
Population Structure Analysis of Bull Genomes of European and Western Ancestry.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Genomic solutions to metadata challenges: a case study on the 1000 Bull Genomes Project.Genetics, selection, evolution : GSE · 2026Article
- Recovery of mitogenomes from whole genome sequences to infer maternal diversity in 1883 modern taurine and indicine cattle.Scientific reports · 2022Article
- Population analysis of the Korean native duck using whole-genome sequencing data.BMC genomics · 2020Article
- Statistical significance of cluster membership for unsupervised evaluation of cell identities.Bioinformatics (Oxford, England) · 2020Article
- Article
- Functional and evolutionary analysis of Korean bob-tailed native dog using whole-genome sequencing data.Scientific reports · 2017Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Since domestication, population bottlenecks, breed formation, and selective breeding have radically shaped the genealogy and genetics of Bos taurus. In turn, characterization of population structure among diverse bull (males of Bos taurus) genomes enables detailed assessment of genetic resources and origins. By analyzing 432 unrelated bull genomes from 13 breeds and 16 countries, we demonstrate genetic diversity and structural complexity among the European/Western cattle population. Importantly, we relaxed a strong assumption of discrete or admixed population, by adapting latent variable models for individual-specific allele frequencies that directly capture a wide range of complex structure from genome-wide genotypes. As measured by magnitude of differentiation, selection pressure on SNPs within genes is substantially greater than that on intergenic regions. Additionally, broad regions of chromosome 6 harboring largest genetic differentiation suggest positive selection underlying population structure. We carried out gene set analysis using SNP annotations to identify enriched functional categories such as energy-related processes and multiple development stages. Our population structure analysis of bull genomes can support genetic management strategies that capture structural complexity and promote sustainable genetic breadth.
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