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Mistranslation Reduces Mutation Load in Evolving Proteins through Negative Epistasis with DNA Mutations

Zheng, Jia; Guo, Ning; Wagner, Andreas (2021). Mistranslation Reduces Mutation Load in Evolving Proteins through Negative Epistasis with DNA Mutations. Molecular Biology and Evolution, 38(11):4792-4804.

Abstract

Translational errors during protein synthesis cause phenotypic mutations that are several orders of magnitude more frequent than DNA mutations. Such phenotypic mutations may affect adaptive evolution through their interactions with DNA mutations. To study how mistranslation may affect the adaptive evolution of evolving proteins, we evolved populations of green fluorescent protein (GFP) in either high-mistranslation or low-mistranslation Escherichia coli hosts. In both hosts, we first evolved GFP under purifying selection for the ancestral phenotype green fluorescence, and then under directional selection toward the new phenotype yellow fluorescence. High-mistranslation populations evolved modestly higher yellow fluorescence during each generation of evolution than low-mistranslation populations. We demonstrate by high-throughput sequencing that elevated mistranslation reduced the accumulation of deleterious DNA mutations under both purifying and directional selection. It did so by amplifying the fitness effects of deleterious DNA mutations through negative epistasis with phenotypic mutations. In contrast, mistranslation did not affect the incidence of beneficial mutations. Our findings show that phenotypic mutations interact epistatically with DNA mutations. By reducing a population’s mutation load, mistranslation can affect an important determinant of evolvability.

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Evolutionary Biology and Environmental Studies
Dewey Decimal Classification:570 Life sciences; biology
590 Animals (Zoology)
Scopus Subject Areas:Life Sciences > Ecology, Evolution, Behavior and Systematics
Life Sciences > Molecular Biology
Life Sciences > Genetics
Uncontrolled Keywords:Genetics, Molecular Biology, Ecology, Evolution, Behavior and Systematics
Language:English
Date:27 October 2021
Deposited On:20 Jan 2022 12:24
Last Modified:26 Nov 2024 02:37
Publisher:Oxford University Press
ISSN:0737-4038
OA Status:Green
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.1093/molbev/msab206
Project Information:
  • Funder: H2020
  • Grant ID: 739874
  • Project Title: NoiseRobustEvo - Noise and robustness in the evolution of novel protein phenotypes
  • Funder: SNSF
  • Grant ID: 31003A_172887
  • Project Title: Robustness and weakened selection in the adaptive evolution of fluorescent proteins
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