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在单细胞中追踪突变动态及其适应度效应。

Mutation dynamics and fitness effects followed in single cells.

机构信息

Laboratoire Jean Perrin, UMR 8237 Sorbonne Universités, UPMC Université Paris 06, Paris, France.

Micalis Institute, Institut National de la Recherche Agronomique, AgroParisTech, Université Paris Saclay, Jouy-en-Josas, France.

出版信息

Science. 2018 Mar 16;359(6381):1283-1286. doi: 10.1126/science.aan0797.

DOI:10.1126/science.aan0797
PMID:29590079
Abstract

Mutations have been investigated for more than a century but remain difficult to observe directly in single cells, which limits the characterization of their dynamics and fitness effects. By combining microfluidics, time-lapse imaging, and a fluorescent tag of the mismatch repair system in , we visualized the emergence of mutations in single cells, revealing Poissonian dynamics. Concomitantly, we tracked the growth and life span of single cells, accumulating ~20,000 mutations genome-wide over hundreds of generations. This analysis revealed that 1% of mutations were lethal; nonlethal mutations displayed a heavy-tailed distribution of fitness effects and were dominated by quasi-neutral mutations with an average cost of 0.3%. Our approach has enabled the investigation of single-cell individuality in mutation rate, mutation fitness costs, and mutation interactions.

摘要

突变已经被研究了一个多世纪,但在单细胞中仍然难以直接观察,这限制了对它们动力学和适应度影响的描述。通过结合微流控技术、延时成像和错配修复系统的荧光标记,我们在单个细胞中可视化了突变的出现,揭示了泊松动力学。同时,我们跟踪了单个细胞的生长和寿命,在数百代中积累了大约 20000 个全基因组的突变。这项分析表明,1%的突变是致命的;非致死性突变表现出适应度效应的长尾分布,并且主要由具有平均成本为 0.3%的准中性突变主导。我们的方法使我们能够在突变率、突变适应度成本和突变相互作用方面研究单细胞的个体性。

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