Evidence map›Paper›PMID 38950062›Full record

ArticlePLoS biology2024

Spontaneous single-nucleotide substitutions and microsatellite mutations have distinct distributions of fitness effects.

Yevgeniy Plavskin, Maria Stella de Biase, Naomi Ziv, Libuše Janská, Yuan O Zhu, David W Hall, Roland F Schwarz, Daniel Tranchina, Mark L Siegal

Abstract read
In one paragraph

Article in PLoS biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Yevgeniy PlavskinCenter for Genomics and Systems Biology, New York University, New York, New York, United States of America.ORCID 0000-0002-6911-3009
Maria Stella de BiaseBerlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany.
Naomi ZivCenter for Genomics and Systems Biology, New York University, New York, New York, United States of America.
Libuše JanskáCenter for Genomics and Systems Biology, New York University, New York, New York, United States of America.
Yuan O ZhuDepartment of Genetics, Stanford University, Stanford, California, United States of America.
David W HallDepartment of Genetics, University of Georgia, Athens, Georgia, United States of America.
Roland F SchwarzBerlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine in the Helmholtz Association, Berlin, Germany.
Daniel TranchinaDepartment of Biology, New York University, New York, New York, United States of America.
Mark L SiegalCenter for Genomics and Systems Biology, New York University, New York, New York, United States of America.ORCID 0000-0001-6930-2988

Funding

Sequencing yeast lines to measure rates of neutral and deleterious mutationsR01GM097415 · NIGMS · NEW YORK UNIVERSITY · PI PETROV, DMITRI, SIEGAL, MARK L · 2011 to 2014
$2.3M
Genetic and Nongenetic Variation in Complex TraitsR35GM148344 · NIGMS · NEW YORK UNIVERSITY · PI Mark L Siegal · 2023 to 2026
$1.7M
Genetic and Nongenetic Variation in Complex TraitsR35GM118170 · NIGMS · NEW YORK UNIVERSITY · PI SIEGAL, MARK L · 2016 to 2021
$1.7M
NIGMS NIH HHS R01 GM097415NIGMS NIH HHS R35 GM118170NIGMS NIH HHS R35 GM148344
6 · The paper itself

Abstract

The fitness effects of new mutations determine key properties of evolutionary processes. Beneficial mutations drive evolution, yet selection is also shaped by the frequency of small-effect deleterious mutations, whose combined effect can burden otherwise adaptive lineages and alter evolutionary trajectories and outcomes in clonally evolving organisms such as viruses, microbes, and tumors. The small effect sizes of these important mutations have made accurate measurements of their rates difficult. In microbes, assessing the effect of mutations on growth can be especially instructive, as this complex phenotype is closely linked to fitness in clonally evolving organisms. Here, we perform high-throughput time-lapse microscopy on cells from mutation-accumulation strains to precisely infer the distribution of mutational effects on growth rate in the budding yeast, Saccharomyces cerevisiae. We show that mutational effects on growth rate are overwhelmingly negative, highly skewed towards very small effect sizes, and frequent enough to suggest that deleterious hitchhikers may impose a significant burden on evolving lineages. By using lines that accumulated mutations in either wild-type or slippage repair-defective backgrounds, we further disentangle the effects of 2 common types of mutations, single-nucleotide substitutions and simple sequence repeat indels, and show that they have distinct effects on yeast growth rate. Although the average effect of a simple sequence repeat mutation is very small (approximately 0.3%), many do alter growth rate, implying that this class of frequent mutations has an important evolutionary impact.

Indexed as

Genetic FitnessMicrosatellite RepeatsSaccharomyces cerevisiaeMutationMutation Accumulation

Identifiers

PMID38950062
PMCPMC11244821

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.