基因扰动与自然变异之间相互作用的全基因组规模分析。
Genome-scale analysis of interactions between genetic perturbations and natural variation.
作者信息
Hale Joseph J, Matsui Takeshi, Goldstein Ilan, Mullis Martin N, Roy Kevin R, Ville Chris Ne, Miller Darach, Wang Charley, Reynolds Trevor, Steinmetz Lars M, Levy Sasha F, Ehrenreich Ian M
机构信息
Molecular and Computational Biology Section, Department of Biological Sciences, University of Southern California, Los Angeles, CA 90089, USA.
SLAC National Accelerator Laboratory, Menlo Park, CA, 94025, USA.
出版信息
bioRxiv. 2024 Jan 16:2023.05.06.539663. doi: 10.1101/2023.05.06.539663.
Interactions between genetic perturbations and segregating loci can cause perturbations to show different phenotypic effects across genetically distinct individuals. To study these interactions on a genome scale in many individuals, we used combinatorial DNA barcode sequencing to measure the fitness effects of 7,700 CRISPRi perturbations targeting 1,712 distinct genes in 169 yeast cross progeny (or segregants). We identified 460 genes whose perturbation has different effects across segregants. Several factors caused perturbations to show variable effects, including baseline segregant fitness, the mean effect of a perturbation across segregants, and interacting loci. We mapped 234 interacting loci and found four hub loci that interact with many different perturbations. Perturbations that interact with a given hub exhibit similar epistatic relationships with the hub and show enrichment for cellular processes that may mediate these interactions. These results suggest that an individual's response to perturbations is shaped by a network of perturbation-locus interactions that cannot be measured by approaches that examine perturbations or natural variation alone.
基因扰动与分离位点之间的相互作用会导致扰动在基因不同的个体中表现出不同的表型效应。为了在许多个体中对这些相互作用进行全基因组规模的研究,我们使用组合DNA条形码测序来测量针对169个酵母杂交后代(或分离株)中1712个不同基因的7700个CRISPRi扰动的适应性效应。我们鉴定出460个基因,其扰动在不同分离株中具有不同的效应。有几个因素导致扰动表现出可变效应,包括基线分离株适应性、扰动在分离株中的平均效应以及相互作用位点。我们绘制了234个相互作用位点,并发现了四个与许多不同扰动相互作用的枢纽位点。与给定枢纽相互作用的扰动与该枢纽表现出相似的上位性相互作用关系,并显示出可能介导这些相互作用的细胞过程的富集。这些结果表明,个体对扰动的反应是由一个扰动-位点相互作用网络塑造的,而这种网络是无法通过单独研究扰动或自然变异的方法来测量的。