Evidence map›Paper›PMID 41369254›Full record

ArticlemBio2025

Elevated rates and biased spectra of mutations in anaerobically cultured lactic acid bacteria.

Owen F Hale, Michelle Yin, Megan G Behringer

Abstract read
In one paragraph

Article in mBio, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Owen F HaleDepartment of Biological Sciences, Vanderbilt University, Nashville, Tennessee, USA.ORCID 0000-0003-3895-1357
Michelle YinDepartment of Biological Sciences, Vanderbilt University, Nashville, Tennessee, USA.
Megan G BehringerDepartment of Biological Sciences, Vanderbilt University, Nashville, Tennessee, USA.ORCID 0000-0001-7036-6014

Funding

Translational Analysis CoreP30DK058404 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MARY Kay WASHINGTON · 2002 to 2026
$29.9M
Using Experimental Evolution to Evaluate Environmental Effects on Microbial Mutation and AdaptationR35GM150625 · NIGMS · VANDERBILT UNIVERSITY · PI Megan Grace Behringer · 2023 to 2026
$1.8M
NIDDK NIH HHS P30 DK058404NIGMS NIH HHS R35 GM150625
6 · The paper itself

Abstract

The rate, spectrum, and biases of mutations represent a fundamental force shaping biological evolution. Convention often attributes oxidative DNA damage as a major driver of spontaneous mutations. Yet, despite the contribution of oxygen to mutagenesis and the ecological, industrial, and biomedical importance of anaerobic organisms, relatively little is known about the mutation rates and spectra of anaerobic species. Here, we present the rates and spectra of spontaneous mutations assessed anaerobically over 1,000 generations for three fermentative lactic acid bacteria species with varying levels of aerotolerance:

Indexed as

LactobacillalesLactobacillusLactobacillus acidophilusLactococcus lactisMutationMutation RateAnaerobiosisBase CompositionFermentationCRISPRLactobacillusmutation rateneutral evolutionspontaneous deamination

Identifiers

PMID41369254
PMCPMC12691593

What OpenQuestion holds

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LicenceCC BY
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.