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More Than the Sum of Its Parts: A Complex Epistatic Network Underlies Natural Variation in Thermal Preference Behavior in Caenorhabditis elegans

机译:超过其总和:复杂的上位网络是秀丽隐杆线虫热偏好行为的自然变化的基础

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摘要

Behavior is a complex trait that results from interactions among multiple genes and the environment. Both additive and nonadditive effects are expected to contribute to broad-sense heritability of complex phenotypes, although the relative contribution of each of these mechanisms is unknown. Here, we mapped genetic variation in the correlated phenotypes of thermal preference and isothermal dispersion in the nematode Caenorhabditis elegans. Genetic variation underlying these traits is characterized by a set of linked quantitative trait loci (QTL) that interact in a complex epistatic network. In particular, two loci located on the X chromosome interact with one another to generate extreme thermophilic behavior and are responsible for ∼50% of the total variation observed in a cross between two parental lines, even though these loci individually explain very little of the among-line variation. Our results demonstrate that simultaneously considering the influence of a quantitative trait locus (QTL) on multiple scales of behavior can inform the physiological mechanism of the QTL and show that epistasis can explain significant proportions of otherwise unattributed variance within populations.
机译:行为是一种复杂的特征,是多种基因与环境之间相互作用的结果。尽管这些机制中每种机制的相对作用尚不清楚,但预期相加和非相加作用都有助于复杂表型的广义遗传。在这里,我们绘制了线虫秀丽隐杆线虫热偏好和等温分散的相关表型的遗传变异。这些特征背后的遗传变异的特征是在复杂的上位网络中相互作用的一组连锁的数量性状基因座(QTL)。尤其是,位于X染色体上的两个基因座彼此相互作用以产生极端的嗜热行为,并且构成了两个亲本系之间杂交中观察到的总变异的约50%,即使这些基因座单独解释了其中的很小一部分。线变化。我们的研究结果表明,同时考虑到数量性状基因位点(QTL)对多种行为量表的影响,可以为QTL的生理机制提供信息,并表明上位性可以解释人群中其他比例未归因的方差的重要部分。

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