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在酵母中,基因相互作用对数量性状变异的贡献小于加性效应。

Genetic interactions contribute less than additive effects to quantitative trait variation in yeast.

作者信息

Bloom Joshua S, Kotenko Iulia, Sadhu Meru J, Treusch Sebastian, Albert Frank W, Kruglyak Leonid

机构信息

Department of Human Genetics, University of California, Los Angeles, Los Angeles, California 90095, USA.

Howard Hughes Medical Institute, University of California, Los Angeles, Los Angeles, California 90095, USA.

出版信息

Nat Commun. 2015 Nov 5;6:8712. doi: 10.1038/ncomms9712.

Abstract

Genetic mapping studies of quantitative traits typically focus on detecting loci that contribute additively to trait variation. Genetic interactions are often proposed as a contributing factor to trait variation, but the relative contribution of interactions to trait variation is a subject of debate. Here we use a very large cross between two yeast strains to accurately estimate the fraction of phenotypic variance due to pairwise QTL-QTL interactions for 20 quantitative traits. We find that this fraction is 9% on average, substantially less than the contribution of additive QTL (43%). Statistically significant QTL-QTL pairs typically have small individual effect sizes, but collectively explain 40% of the pairwise interaction variance. We show that pairwise interaction variance is largely explained by pairs of loci at least one of which has a significant additive effect. These results refine our understanding of the genetic architecture of quantitative traits and help guide future mapping studies.

摘要

数量性状的遗传图谱研究通常侧重于检测对性状变异有累加作用的基因座。遗传相互作用常被认为是性状变异的一个影响因素,但相互作用对性状变异的相对贡献仍是一个有争议的话题。在此,我们利用两个酵母菌株间的一个非常大的杂交群体,准确估计了20个数量性状中由成对的数量性状基因座(QTL)-QTL相互作用导致的表型变异比例。我们发现,这个比例平均为9%,远低于累加QTL的贡献(43%)。具有统计学意义的QTL-QTL对通常个体效应大小较小,但共同解释了40%的成对相互作用变异。我们表明,成对相互作用变异在很大程度上由至少其中一个具有显著累加效应的基因座对所解释。这些结果完善了我们对数量性状遗传结构的理解,并有助于指导未来的图谱研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdab/4667637/721a56b6eb62/ncomms9712-f1.jpg

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