Evidence map›Paper›PMID 34864972›Full record

ArticleGenome biology and evolution2021

Evolutionary Dynamics of Asexual Hypermutators Adapting to a Novel Environment.

Wei-Chin Ho, Megan G Behringer, Samuel F Miller, Jadon Gonzales, Amber Nguyen, Meriem Allahwerdy, Gwyneth F Boyer, Michael Lynch

Abstract read
In one paragraph

Article in Genome biology and evolution, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Genome and transcriptomic analysis of the adaptation ofComputational and structural biotechnology journal · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
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

8 authors.

Wei-Chin HoCenter for Mechanisms of Evolution, The Biodesign Institute, Arizona State University, Tempe, Arizona, USA.ORCID 0000-0002-0848-2476
Megan G BehringerCenter for Mechanisms of Evolution, The Biodesign Institute, Arizona State University, Tempe, Arizona, USA.
Samuel F MillerCenter for Mechanisms of Evolution, The Biodesign Institute, Arizona State University, Tempe, Arizona, USA.
Jadon GonzalesCenter for Mechanisms of Evolution, The Biodesign Institute, Arizona State University, Tempe, Arizona, USA.
Amber NguyenCenter for Mechanisms of Evolution, The Biodesign Institute, Arizona State University, Tempe, Arizona, USA.
Meriem AllahwerdyCenter for Mechanisms of Evolution, The Biodesign Institute, Arizona State University, Tempe, Arizona, USA.
Gwyneth F BoyerCenter for Mechanisms of Evolution, The Biodesign Institute, Arizona State University, Tempe, Arizona, USA.
Michael LynchCenter for Mechanisms of Evolution, The Biodesign Institute, Arizona State University, Tempe, Arizona, USA.

Funding

Causes and Population-genetic Consequences of Molecular VariationR35GM122566 · NIGMS · TRUSTEES OF INDIANA UNIVERSITY · PI Michael R LYNCH · 2017 to 2026
$7.7M
Genetic and Environmental Determinants of Population Structure During Escherichia coli Experimental Evolution.F32GM123703 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI BEHRINGER, MEGAN GRACE · 2017 to 2018
$118k
NIGMS NIH HHS F32 GM123703NIGMS NIH HHS R35 GM122566
6 · The paper itself

Abstract

How microbes adapt to a novel environment is a central question in evolutionary biology. Although adaptive evolution must be fueled by beneficial mutations, whether higher mutation rates facilitate the rate of adaptive evolution remains unclear. To address this question, we cultured Escherichia coli hypermutating populations, in which a defective methyl-directed mismatch repair pathway causes a 140-fold increase in single-nucleotide mutation rates. In parallel with wild-type E. coli, populations were cultured in tubes containing Luria-Bertani broth, a complex medium known to promote the evolution of subpopulation structure. After 900 days of evolution, in three transfer schemes with different population-size bottlenecks, hypermutators always exhibited similar levels of improved fitness as controls. Fluctuation tests revealed that the mutation rates of hypermutator lines converged evolutionarily on those of wild-type populations, which may have contributed to the absence of fitness differences. Further genome-sequence analysis revealed that, although hypermutator populations have higher rates of genomic evolution, this largely reflects strong genetic linkage. Despite these linkage effects, the evolved population exhibits parallelism in fixed mutations, including those potentially related to biofilm formation, transcription regulation, and mutation-rate evolution. Together, these results are generally inconsistent with a hypothesized positive relationship between the mutation rate and the adaptive speed of evolution, and provide insight into how clonal adaptation occurs in novel environments.

Indexed as

Escherichia coliEscherichia coli ProteinsAdaptation, PhysiologicalEvolution, MolecularMutationMutation RateEscherichia coli Proteinsadaptationbottleneck effectsdrift barrierEscherichia colimutational loadmutation rate

Identifiers

PMID34864972
PMCPMC8643662

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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.