Low frequency of mutations with strongly deleterious but nonlethal fitness effects

Angelina Fudala1, Ryszard Korona

  • 1Institute of Environmental Sciences, Jagiellonian University, Gronostajowa, Krakow, Poland.

Insights

Investigating gene deletions in yeast reveals that essential biological processes exhibit a clear bimodal distribution of mutation effects: either lethal or mildly detrimental, impacting growth rates significantly or minimally.

Area of Science:

  • Molecular and Cellular Biology
  • Genetics and Genomics
  • Systems Biology

Background:

  • Most mutations in cellular organisms result in lethal or mildly detrimental effects.
  • The limited range of non-lethal mutation effects suggests metabolic processes are essential or redundant, or effects cluster within biological processes.

Purpose of the Study:

  • To investigate the distribution of phenotypic effects from single gene deletions within protein complexes.
  • To determine if a bimodal pattern of mutation effects exists within essential biological processes.

Main Methods:

  • Measured maximum growth rates of yeast strains with single gene deletions in 38 protein complexes.
  • Utilized existing high-throughput phenotypic data from the yeast gene-deletion collection.
  • Analyzed gene-deletion effects under both optimal and suboptimal environmental conditions.

Main Results:

  • Virtually all essential protein complexes showed a bimodal distribution of phenotypic effects: growth cessation (lethal) or a slight growth slowdown (mildly deleterious).
  • This pattern was consistent across complexes with diverse functions, sizes, and essential protein proportions.
  • The bimodal effect distribution was observed under both optimal and suboptimal environmental conditions.

Conclusions:

  • Essential biological processes in yeast exhibit a striking bimodal distribution of mutation effects, with most being lethal or mildly detrimental.
  • This uniformity suggests fundamental constraints on how mutations impact cellular metabolism, regardless of specific process or environmental conditions.
  • The prevalence of strong (lethal) and weak (mildly detrimental) effects has implications for analyzing quantitative traits and conducting epidemiological surveys.

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