Evidence map›Paper›PMID 30768593›Full record

ArticlePLoS genetics2019

Modular epistasis and the compensatory evolution of gene deletion mutants.

José I Rojas Echenique, Sergey Kryazhimskiy, Alex N Nguyen Ba, Michael M Desai

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
7.7field-weighted citation impact, top 2% of its field
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

36 citing papers in PubMed, 82 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

José I Rojas EcheniqueDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America.ORCID 0000-0002-9347-0647
Sergey KryazhimskiySection of Ecology, Behavior and Evolution, Division of Biological Sciences, University of California at San Diego, San Diego, California, United States of America.
Alex N Nguyen BaDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America.ORCID 0000-0003-1357-6386
Michael M DesaiDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States of America.ORCID 0000-0002-9581-1150
Harvard University · USUniversity of California San Diego · US

Funding

Microbial Adaptation and the Statistics of Epistasis and PleiotropyR01GM104239 · NIGMS · HARVARD UNIVERSITY · PI DESAI, MICHAEL M · 2013 to 2025
$4.5M
NIGMS NIH HHS R01 GM104239
6 · The paper itself

Abstract

Screens for epistatic interactions have long been used to characterize functional relationships corresponding to protein complexes, metabolic pathways, and other functional modules. Although epistasis between adaptive mutations is also common in laboratory evolution experiments, the functional basis for these interactions is less well characterized. Here, we quantify the extent to which gene function (as determined by a genome-wide screen for epistasis among deletion mutants) influences the rate and genetic basis of compensatory adaptation in a set of 37 gene deletion mutants nested within 16 functional modules. We find that functional module has predictive power: mutants with deletions in the same module tend to adapt more similarly, on average, than those with deletions in different modules. At the same time, initial fitness also plays a role: independent of the specific functional modules involved, adaptive mutations tend to be systematically more beneficial in less-fit genetic backgrounds, consistent with a general pattern of diminishing returns epistasis. We measured epistatic interactions between initial gene deletion mutations and the mutations that accumulate during compensatory adaptation and found a general trend towards positive epistasis (i.e. mutations tend to be more beneficial in the background in which they arose). In two functional modules, epistatic interactions between the initial gene deletions and the mutations in their descendant lines caused evolutionary entrenchment, indicating an intimate functional relationship. Our results suggest that genotypes with similar epistatic interactions with gene deletion mutations will also have similar epistatic interactions with adaptive mutations, meaning that genome scale maps of epistasis between gene deletion mutations can be predictive of evolutionary dynamics.

Indexed as

Epistasis, GeneticEvolution, MolecularGene DeletionAdaptation, PhysiologicalComputer SimulationGenes, FungalGenetic FitnessMetabolic Networks and PathwaysModels, GeneticMutationSaccharomyces cerevisiae

Identifiers

PMID30768593
PMCPMC6395002
OpenAlexW2912361945

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.