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Uncovering the architecture of selection in two Bos taurus cattle breeds.

Authors :
Rowan TN
Schnabel RD
Decker JE
Source :
Evolutionary applications [Evol Appl] 2024 Feb 22; Vol. 17 (2), pp. e13666. Date of Electronic Publication: 2024 Feb 22 (Print Publication: 2024).
Publication Year :
2024

Abstract

Directional selection alters the genome via hard sweeps, soft sweeps, and polygenic selection. However, mapping polygenic selection is difficult because it does not leave clear signatures on the genome like a selective sweep. In populations with temporally stratified genotypes, the Generation Proxy Selection Mapping (GPSM) method identifies variants associated with generation number (or appropriate proxy) and thus variants undergoing directional allele frequency changes. Here, we use GPSM on two large datasets of beef cattle to detect associations between an animal's generation and 11 million imputed SNPs. Using these datasets with high power and dense mapping resolution, GPSM detected a total of 294 unique loci actively under selection in two cattle breeds. We observed that GPSM has a high power to detect selection in the very recent past (<10 years), even when allele frequency changes are small. Variants identified by GPSM reside in genomic regions associated with known breed-specific selection objectives, such as fertility and maternal ability in Red Angus, and carcass merit and coat color in Simmental. Over 60% of the selected loci reside in or near (<50 kb) annotated genes. Using haplotype-based and composite selective sweep statistics, we identify hundreds of putative selective sweeps that likely occurred earlier in the evolution of these breeds; however, these sweeps have little overlap with recent polygenic selection. This makes GPSM a complementary approach to sweep detection methods when temporal genotype data are available. The selected loci that we identify across methods demonstrate the complex architecture of selection in domesticated cattle.<br />Competing Interests: The authors declare no conflicts of interest related to this work.<br /> (© 2024 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd.)

Details

Language :
English
ISSN :
1752-4571
Volume :
17
Issue :
2
Database :
MEDLINE
Journal :
Evolutionary applications
Publication Type :
Academic Journal
Accession number :
38405336
Full Text :
https://doi.org/10.1111/eva.13666