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Backup without redundancy: genetic interactions reveal the cost of duplicate gene loss

机译:无冗余备份:遗传相互作用揭示了重复基因损失的代价

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摘要

Many genes can be deleted with little phenotypic consequences. By what mechanism and to what extent the presence of duplicate genes in the genome contributes to this robustness against deletions has been the subject of considerable interest. Here, we exploit the availability of high-density genetic interaction maps to provide direct support for the role of backup compensation, where functionally overlapping duplicates cover for the loss of their paralog. However, we find that the overall contribution of duplicates to robustness against null mutations is low (∼25%). The ability to directly identify buffering paralogs allowed us to further study their properties, and how they differ from non-buffering duplicates. Using environmental sensitivity profiles as well as quantitative genetic interaction spectra as high-resolution phenotypes, we establish that even duplicate pairs with compensation capacity exhibit rich and typically non-overlapping deletion phenotypes, and are thus unable to comprehensively cover against loss of their paralog. Our findings reconcile the fact that duplicates can compensate for each other's loss under a limited number of conditions with the evolutionary instability of genes whose loss is not associated with a phenotypic penalty.
机译:许多基因可以删除,几乎没有表型后果。通过什么机制和在多大程度上基因组中重复基因的存在有助于这种针对缺失的鲁棒性,已经成为引起广泛关注的主题。在这里,我们利用高密度遗传相互作用图的可用性为后备补偿的作用提供直接支持,在功能上重叠的重复物弥补了其亲本的损失。但是,我们发现重复项对抵抗无效突变的鲁棒性的总体贡献很低(约25%)。直接识别缓冲旁系同源物的能力使我们能够进一步研究其特性,以及它们与非缓冲重复体的区别。使用环境敏感性概况以及定量遗传相互作用谱作为高分辨率表型,我们确定即使具有补偿能力的重复对也表现出丰富且通常不重叠的缺失表型,因此无法全面覆盖其旁系同源物的丢失。我们的研究结果证实了这样的事实,即复制品可以在有限的条件下,通过基因的进化不稳定性来补偿彼此的损失,这些基因的损失与表型损失无关。

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