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Robert Schnabel
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Recent Grants
Grant: Close
PARTNERSHIP: Development of Genomic Reference Materials for Cattle
Open Date: 2023-07-01
Close Date: 2026-06-30
Grant: Close
Identification of Expression QTL Associated With Feed Efficiency in Beef Cattle
Open Date: 2020-06-01
Close Date: 2024-05-31
Grant: Close
Advancing the Genotype to Phenotype Relationship Through Genomics
Open Date: 2018-04-09
Close Date: 2023-03-31
Grant: Close
Identification of QTN Influencing Milk Production and Female Fertility in Holsteins
Open Date: 2006-02-15
Close Date: 2010-02-14
Articles (8)
Year:
2025
Year:
2025
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.
Year:
2024
Year:
2024
Year:
2024
Year:
2024
Year:
2023
Year:
2023
Collaborators (13)
Stephanie McKay
Associate Professor
University of Missouri
Troy Rowan
Assistant Professor
University of Tennessee Institute of Agriculture
Jonathan Green
Associate Professor
University of Missouri Columbia
Theodore Kalbfleisch
Associate Professor
University of Kentucky
Darren Hagen
Associate Professor
Oklahoma State University Stillwater
Martha Sofia Ortega Obando
Assistant Professor
University of Wisconsin-Madison
Jeremy Powell
University of Arkansas
Jared E. Decker
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Brenda M Murdoch
Professor
University of Idaho
Kimberly Davenport
Assistant Professor
Washington State University
David Adelson
Professor
University of Adelaide
James Prendergast
Professor
University of Edinburgh
liu yang
University of Maryland
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