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Widespread cumulative influence of small effect size mutations on yeast quantitative traits

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NIAID Data Ecosystem2026-03-10 收录
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http://datadryad.org/dataset/doi%253A10.5061%252Fdryad.2tv2s
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Quantitative traits are influenced by pathways that have traditionally been defined through genes that have a large loss- or gain-of-function effect. However, in theory, a large number of small effect-size genes could cumulatively play a substantial role in pathway function. Here, we determined the number, strength and identity of all non-essential test genes that affect two quantitative galactose-responsive traits, in addition to re-analyzing two previously screened quantitative traits. We find that over a quarter of assayed genes have a detectable, quantitative effect on phenotype. Despite their ubiquity, these genes are enriched in core cellular processes in a trait-specific manner. In a simulated population with 50% frequency of all-or-none alleles, we show that small effect-size alleles are capable of contributing more to trait variation than alleles in a canonical, large-effect size pathway. In total, by demonstrating that the genes effecting quantitative traits can be highly distributed and interconnected, this work challenges the concept of pathways as modular and independent.
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2018-10-26
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