4.8 Article

Deciphering polymorphism in 61,157 Escherichia coli genomes via epistatic sequence landscapes

期刊

NATURE COMMUNICATIONS
卷 13, 期 1, 页码 -

出版社

NATURE PORTFOLIO
DOI: 10.1038/s41467-022-31643-3

关键词

-

资金

  1. French Agence Nationale pour la Recherche ANR GeWiEp [ANR-18-CE35-0005-01]
  2. Fondation pour la Recherche Medicale [EQU201903007848]
  3. PhD program AMX of Ecole polytechnique
  4. Ministere de l'Enseignement Superieur, de la Recherche et de l'Innovation
  5. EU [734439 InferNet]

向作者/读者索取更多资源

Characterizing the effect of mutations is crucial for understanding protein sequence evolution and distinguishing between harmful and neutral changes. Epistatic interactions between residues can lead to a context dependence of mutation effects, constraining the range of amino acid changes.
Characterizing the effect of mutations is key to understand the evolution of protein sequences and to separate neutral amino-acid changes from deleterious ones. Epistatic interactions between residues can lead to a context dependence of mutation effects. Context dependence constrains the amino-acid changes that can contribute to polymorphism in the short term, and the ones that can accumulate between species in the long term. We use computational approaches to accurately predict the polymorphisms segregating in a panel of 61,157 Escherichia coli genomes from the analysis of distant homologues. By comparing a context-aware Direct-Coupling Analysis modelling to a non-epistatic approach, we show that the genetic context strongly constrains the tolerable amino acids in 30% to 50% of amino-acid sites. The study of more distant species suggests the gradual build-up of genetic context over long evolutionary timescales by the accumulation of small epistatic contributions.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据