Monnahan Patrick J, Kelly John K
Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, Lawrence, Kansas, United States of America.
PLoS Genet. 2015 May 6;11(5):e1005201. doi: 10.1371/journal.pgen.1005201. eCollection 2015 May.
The influence of genetic interactions (epistasis) on the genetic variance of quantitative traits is a major unresolved problem relevant to medical, agricultural, and evolutionary genetics. The additive genetic component is typically a high proportion of the total genetic variance in quantitative traits, despite that underlying genes must interact to determine phenotype. This study estimates direct and interaction effects for 11 pairs of Quantitative Trait Loci (QTLs) affecting floral traits within a single population of Mimulus guttatus. With estimates of all 9 genotypes for each QTL pair, we are able to map from QTL effects to variance components as a function of population allele frequencies, and thus predict changes in variance components as allele frequencies change. This mapping requires an analytical framework that properly accounts for bias introduced by estimation errors. We find that even with abundant interactions between QTLs, most of the genetic variance is likely to be additive. However, the strong dependency of allelic average effects on genetic background implies that epistasis is a major determinant of the additive genetic variance, and thus, the population's ability to respond to selection.
基因相互作用(上位性)对数量性状遗传方差的影响是医学、农业和进化遗传学中一个尚未解决的主要问题。尽管潜在基因必须相互作用才能决定表型,但加性遗传成分在数量性状的总遗传方差中通常占很大比例。本研究估计了影响黄花沟酸浆单一群体花部性状的11对数量性状基因座(QTL)的直接效应和相互作用效应。通过对每对QTL的所有9种基因型进行估计,我们能够根据群体等位基因频率将QTL效应映射到方差成分,从而预测随着等位基因频率变化方差成分的变化。这种映射需要一个能够适当考虑估计误差所引入偏差的分析框架。我们发现,即使QTL之间存在大量相互作用,大部分遗传方差可能仍是加性的。然而,等位基因平均效应对遗传背景的强烈依赖性意味着上位性是加性遗传方差的主要决定因素,因此也是群体对选择作出反应能力的主要决定因素。