Literature DB >> 28087781

Deleterious Variants in Asian Rice and the Potential Cost of Domestication.

Qingpo Liu1, Yongfeng Zhou2, Peter L Morrell3, Brandon S Gaut2.   

Abstract

Many SNPs are predicted to encode deleterious amino acid variants. These slightly deleterious mutations can provide unique insights into population history, the dynamics of selection, and the genetic bases of phenotypes. This is especially true for domesticated species, where a history of bottlenecks and selection may affect the frequency of deleterious variants and signal a "cost of domestication". Here, we investigated the numbers and frequencies of deleterious variants in Asian rice (Oryza sativa), focusing on two varieties (japonica and indica) and their wild relative (O. rufipogon). We investigated three signals of a potential cost of domestication in Asian rice relative to O. rufipogon: an increase in the frequency of deleterious SNPs (dSNPs), an enrichment of dSNPs compared with synonymous SNPs (sSNPs), and an increased number of deleterious variants. We found evidence for all three signals, and domesticated individuals contained ∼3-4% more deleterious alleles than wild individuals. Deleterious variants were enriched within low recombination regions of the genome and experienced frequency increases similar to sSNPs within regions of putative selective sweeps. A characteristic feature of rice domestication was a shift in mating system from outcrossing to predominantly selfing. Forward simulations suggest that this shift in mating system may have been the dominant factor in shaping both deleterious and neutral diversity in rice.
© The Author 2017. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  SNPs; bottleneck; domestication; selective sweep

Mesh:

Year:  2017        PMID: 28087781     DOI: 10.1093/molbev/msw296

Source DB:  PubMed          Journal:  Mol Biol Evol        ISSN: 0737-4038            Impact factor:   16.240


  29 in total

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Journal:  BMC Biol       Date:  2021-06-16       Impact factor: 7.431

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