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A genome-wide scan for selection signatures in Nellore cattle
A L Somavilla1, T S Sonstegard, R H Higa
1Programa de Pós-Graduação em Genética e Melhoramento Animal, UNESP/FCAV, Jaboticabal, Brasil.
Animal Genetics
|September 4, 2014
Summary
Researchers identified recent artificial selection signatures in Brazilian Nellore cattle using high-density markers. This analysis revealed key genome regions and genes influencing traits like reproduction, growth, and meat quality, aiding future breeding strategies.
Area of Science:
- Animal Genetics
- Genomics
- Livestock Breeding
Background:
- Brazilian Nellore cattle (Bos indicus) have undergone extensive selection for growth for over 40 years.
- Increasing demand for beef exports and consumption highlights the importance of reproductive and meat quality traits.
- Understanding artificial selection signatures can improve breeding tools and selection efficiency.
Purpose of the Study:
- To detect recent selection signatures in the Nellore cattle genome.
- To identify genes associated with important production and quality traits under selection.
- To leverage genomic insights for enhanced cattle breeding.
Main Methods:
- Utilized extended haplotype homozygosity (EHC) methodology.
- Employed high-density BovineHD marker genotypes (>777,000 single nucleotide polymorphisms).
- Analyzed genome-wide data to pinpoint regions under recent artificial selection.
Main Results:
- Identified 31 significant regions (P < 0.0001) with recent selection signatures.
- Found 19 regions overlapping with quantitative trait loci for reproduction, growth, feed efficiency, meat quality, fatty acids, and immunity.
- Annotated 545 genes within selection signature regions, with 58 linked to growth, metabolism, reproduction, or immunity.
Conclusions:
- Relative EHC analysis of high-density SNP data successfully identified regions under artificial selection in Nellore cattle.
- These findings provide insights into autozygosity and the impact of selection on the Nellore genome.
- The identified genomic regions and genes can inform the development of advanced breeding tools for Nellore cattle improvement.
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