Analysis of polygenic selection in purebred and crossbred pig genomes using Generation Proxy Selection Mapping

Grohmann, C. J.; Shull, C. M.; Crum, T. E.; Schwab, C.; Safranski, T. J.; Decker, J. E.

doi:10.1101/2022.09.19.508567

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bioRxiv · 10.1101/2022.09.19.508567

Analysis of polygenic selection in purebred and crossbred pig genomes using Generation Proxy Selection Mapping

Grohmann, C. J.·Shull, C. M.·Crum, T. E.·Schwab, C.·Safranski, T. J.·Decker, J. E.

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Abstract

BackgroundArtificial selection on quantitative traits using breeding values and selection indices in commercial livestock breeding populations causes changes in allele frequency over time, termed polygenic selection, at causal loci and the surrounding genomic regions. Researchers and managers of pig breeding programs are motivated to understand the genetic basis of phenotypic diversity across genetic lines, breeds, and populations using selection mapping analyses. Here, we applied Generation Proxy Selection Mapping (GPSM), a genome-wide association analysis of SNP genotype (38,294 to 46,458 SNPs) of birth date, in four pig populations (15,457, 15,772, 16,595 and 8,447 pigs per population) to identify loci responding to artificial selection over a span of five to ten years. Gene-drop simulation analyses were conducted to validate GPSM results. Selection signatures within and across each population of pigs were compared in the context of commercial pork production. ResultsForty-nine to 854 loci were identified by GPSM as under selection (Q-values less than 0.10) across 15 subsets of pigs based on population combinations. The number of significant associations increased as populations of pigs were pooled. In addition, several significant associations were identified in more than one population. These results indicate concurrent selection objectives, similar genetic architectures, and shared causal variants responding to selection across populations. Negligible error rates (less than or equal to 0.02%) of false-positive associations were identified when testing GPSM on gene-drop simulated genotypes, suggesting that GPSM distinguishes selection from random genetic drift in actual pig populations. ConclusionsThis work confirms the efficacy and accuracy of the GPSM method in detecting selected loci in commercial pig populations. Our results suggest shared selection objectives and genetic architectures across swine populations. Identified polygenic selection highlights loci important to swine production.

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Grohmann, C. J., Shull, C. M., Crum, T. E., Schwab, C., Safranski, T. J., Decker, J. E.. 2022-09-19. Analysis of polygenic selection in purebred and crossbred pig genomes using Generation Proxy Selection Mapping. https://doi.org/10.1101/2022.09.19.508567

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