返回
Mutation-Driven Parallel Evolution during Viral Adaptation
DOI:10.1093/molbev/msx257.png)
摘要
En 中文
Convergent evolution has been demonstrated across all levels of biological organization, from parallel nucleotide substitutions to convergent evolution of complex phenotypes, but whether instances of convergence are the result of selection repeatedly finding the same optimal solution to a recurring problem or are the product of mutational biases remains unsettled. We generated 20 replicate lineages allowed to fix a single mutation from each of four bacteriophage genotypes under identical selective regimes to test for parallel changes within and across genotypes at the levels of mutational effect distributions and gene, protein, amino acid, and nucleotide changes. All four genotypes shared a distribution of beneficial mutational effects best approximated by a distribution with a finite upper bound. Parallel adaptation was high at the protein, gene, amino acid, and nucleotide levels, both within and among phage genotypes, with the most common first-step mutation in each background fixing on an average in 7 of 20 replicates and half of the substitutions in two of the four genotypes occurring at shared sites. Remarkably, the mutation of largest beneficial effect that fixed for each genotype was never the most common, as would be expected if parallelism were driven by selection. In fact, the mutation of smallest benefit for each genotype fixed in a total of 7 of 80 lineages, equally as often as the mutation of largest benefit, leading us to conclude that adaptation was largely mutation-driven, such that mutational biases led to frequent parallel fixation of mutations of suboptimal effect.
Keyword:
parallel evolution
convergence
mutation-driven evolution
experimental evolution
genetics of adaptation
distribution of beneficial fitness effects
AI总结
对已上传原文的论文进行重点信息的提取,主要内容包括:简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
5.3
论文数:
8.4K
被引数:
6.6W
机构
引用论文
Effects of Subtle Changes in the SU Protein of Ecotropic Murine Leukemia Virus on Its Brain Capillary Endothelial Cell Tropism and Interference Properties
Virology
IF0
An empirical test of the mutational landscape model of adaptation using a single-stranded DNA virus
NATURE GENETICS
IF31.8


