Evidence map›Paper›PMID 30934244›Full record

ArticlePhysical review. E2019

Mutation rate variability as a driving force in adaptive evolution.

Dalit Engelhardt, Eugene I Shakhnovich

Open access · greenAbstract read
In one paragraph

Article in Physical review. E, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Mutation rate variability in viral populations: Implications for lethal mutagenesis.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Evolution of antimicrobial resistance inFrontiers in microbiology · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. Genomic Changes and Genetic Divergence ofFrontiers in microbiology · 2021
    Article
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

2 authors at 1 institution in 1 country.

Dalit EngelhardtDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts 02138, USA.
Eugene I ShakhnovichDepartment of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts 02138, USA.
Harvard University · US

Funding

Study of Biological Evolution of Structure and Function in ProteinsR01GM068670 · NIGMS · HARVARD UNIVERSITY · PI SHAKHNOVICH, EUGENE I · 2004 to 2020
$7.0M
Biophysical mechanisms of proteomic and fitness effects of synonymous substitutionsR01GM124044 · NIGMS · HARVARD UNIVERSITY · PI SHAKHNOVICH, EUGENE I · 2017 to 2020
$1.3M
NIGMS NIH HHS R01 GM068670NIGMS NIH HHS R01 GM124044
6 · The paper itself

Abstract

Mutation rate is a key determinant of the pace as well as outcome of evolution, and variability in this rate has been shown in different scenarios to play a key role in evolutionary adaptation and resistance evolution under stress caused by selective pressure. Here we investigate the dynamics of resistance fixation in a bacterial population with variable mutation rates, and we show that evolutionary outcomes are most sensitive to mutation rate variations when the population is subject to environmental and demographic conditions that suppress the evolutionary advantage of high-fitness subpopulations. By directly mapping a biophysical fitness function to the system-level dynamics of the population, we show that both low and very high, but not intermediate, levels of stress in the form of an antibiotic result in a disproportionate effect of hypermutation on resistance fixation. We demonstrate how this behavior is directly tied to the extent of genetic hitchhiking in the system, the propagation of high-mutation rate cells through association with high-fitness mutations. Our results indicate a substantial role for mutation rate flexibility in the evolution of antibiotic resistance under conditions that present a weak advantage over wildtype to resistant cells.

Indexed as

Evolution, MolecularModels, GeneticMutation Rate

Identifiers

PMID30934244
PMCPMC6819004
OpenAlexW2809899588

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.