The Fate of Deleterious Variants in a Barley Genomic Prediction Population. Issue 4 (1st December 2019)

• Record Type: Journal Article
• Authors: Kono, Thomas J Y; Liu, Chaochih; Vonderharr, Emily E; Koenig, Daniel; Fay, Justin C; Smith, Kevin P; Morrell, Peter L
• Is Part Of: Genetics. Volume 213:Issue 4(2019)
• Page Start: 1531
• Page End: 1544
• Publication Date: 2019-12-01
• Subjects: deleterious variants -- genomic prediction -- multiparent population; Genetics -- Periodicals; 576.5
• DOI: 10.1534/genetics.119.302733
• Languages: English
• ISSNs: 0016-6731

Abstract

Abstract: Targeted identification and purging of deleterious genetic variants has been proposed as a novel approach to animal and plant breeding. This strategy is motivated, in part, by the observation that demographic events and strong selection associated with cultivated species pose a "cost of domestication." This includes an increase in the proportion of genetic variants that are likely to reduce fitness. Recent advances in DNA resequencing and sequence constraint-based approaches to predict the functional impact of a mutation permit the identification of putatively deleterious SNPs (dSNPs) on a genome-wide scale. Using exome capture resequencing of 21 barley lines, we identified 3855 dSNPs among 497, 754 total SNPs. We generated whole-genome resequencing data of Hordeum murinum ssp. glaucum as a phylogenetic outgroup to polarize SNPs as ancestral vs. derived. We also observed a higher proportion of dSNPs per synonymous SNPs (sSNPs) in low-recombination regions of the genome. Using 5215 progeny from a genomic prediction experiment, we examined the fate of dSNPs over three breeding cycles. Adjusting for initial frequency, derived alleles at dSNPs reduced in frequency or were lost more often than other classes of SNPs. The highest-yielding lines in the experiment, as chosen by standard genomic prediction approaches, carried fewer homozygous dSNPs than randomly sampled lines from the same progeny cycle. In the final cycle of the experiment, progeny selected by genomic prediction had a mean of 5.6% fewer homozygous dSNPs relative to randomly chosen progeny from the same cycle.