Synonymous mutations in representative yeast genes are mostly strongly non-neutral.

Xukang Shen, Siliang Song, Chuan Li, Jianzhi Zhang

Journal: Nature 2022;606(7915):725-731

PMID: 35676473

Abstract

Synonymous mutations in protein-coding genes do not alter protein sequences and are thus generally presumed to be neutral or nearly neutral. Here, to experimentally verify this presumption, we constructed 8,341 yeast mutants each carrying a synonymous, nonsynonymous or nonsense mutation in one of 21 endogenous genes with diverse functions and expression levels and measured their fitness relative to the wild type in a rich medium. Three-quarters of synonymous mutations resulted in a significant reduction in fitness, and the distribution of fitness effects was overall similar-albeit nonidentical-between synonymous and nonsynonymous mutations. Both synonymous and nonsynonymous mutations frequently disturbed the level of mRNA expression of the mutated gene, and the extent of the disturbance partially predicted the fitness effect. Investigations in additional environments revealed greater across-environment fitness variations for nonsynonymous mutants than for synonymous mutants despite their similar fitness distributions in each environment, suggesting that a smaller proportion of nonsynonymous mutants than synonymous mutants are always non-deleterious in a changing environment to permit fixation, potentially explaining the common observation of substantially lower nonsynonymous than synonymous substitution rates. The strong non-neutrality of most synonymous mutations, if it holds true for other genes and in other organisms, would require re-examination of numerous biological conclusions about mutation, selection, effective population size, divergence time and disease mechanisms that rely on the assumption that synoymous mutations are neutral.

© 2022. The Author(s), under exclusive licence to Springer Nature Limited.

Address: Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, USA.; Department of Biology, Stanford University, Stanford, CA, USA.; Microsoft, Redmond, WA, USA.; Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI, USA. [email protected].
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