Evidence map›Paper›PMID 31651953›Full record

ArticleMolecular biology and evolution2020

OxyR Is a Convergent Target for Mutations Acquired during Adaptation to Oxidative Stress-Prone Metabolic States.

Amitesh Anand, Ke Chen, Edward Catoiu, Anand V Sastry, Connor A Olson, Troy E Sandberg, Yara Seif, Sibei Xu, Richard Szubin, Laurence Yang and 2 more

Open access · hybridAbstract read
In one paragraph

Article in Molecular biology and evolution, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
5.9field-weighted citation impact, top 3% 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, 1 synthesis or guideline pooled it, 73 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. S267P mutation of OxyR regulator inSynthetic and systems biotechnology · 2026
    Article
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  7. OxyR contributes to the oxidative stress capacity and virulence of hypervirulentFrontiers in cellular and infection microbiology · 2025
    Article
  8. Vibrio natriegens: Application of a Fast-Growing Halophilic Bacterium.Advances in biochemical engineering/biotechnology · 2025
    Review
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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

12 authors at 3 institutions in 2 countries.

Amitesh AnandDepartment of Bioengineering, University of California, San Diego, La Jolla, CA.
Ke ChenDepartment of Bioengineering, University of California, San Diego, La Jolla, CA.
Edward CatoiuDepartment of Bioengineering, University of California, San Diego, La Jolla, CA.
Anand V SastryDepartment of Bioengineering, University of California, San Diego, La Jolla, CA.
Connor A OlsonDepartment of Bioengineering, University of California, San Diego, La Jolla, CA.
Troy E SandbergDepartment of Bioengineering, University of California, San Diego, La Jolla, CA.
Yara SeifDepartment of Bioengineering, University of California, San Diego, La Jolla, CA.
Sibei XuDepartment of Bioengineering, University of California, San Diego, La Jolla, CA.
Richard SzubinDepartment of Bioengineering, University of California, San Diego, La Jolla, CA.
Laurence YangDepartment of Bioengineering, University of California, San Diego, La Jolla, CA.
Adam M FeistDepartment of Bioengineering, University of California, San Diego, La Jolla, CA.
Bernhard O PalssonDepartment of Bioengineering, University of California, San Diego, La Jolla, CA.
La Jolla Bioengineering Institute · USUniversity of California, San Diego · USNovo Nordisk Foundation · DK

Funding

Systems Biology Approach to Redefine Susceptibility Testing and Treatment of MDR Pathogens in the Context of Host ImmunityU01AI124316 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PALSSON, BERNHARD O · 2016 to 2020
$10.2M
GENOMICALLY BASED MODELS FOR ANTIBIOTIC DEVELOPMENTR01GM057089 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PALSSON, BERNHARD O · 1998 to 2021
$6.9M
NIAID NIH HHS U01 AI124316NIGMS NIH HHS R01 GM057089
6 · The paper itself

Abstract

Oxidative stress is concomitant with aerobic metabolism. Thus, bacterial genomes encode elaborate mechanisms to achieve redox homeostasis. Here we report that the peroxide-sensing transcription factor, oxyR, is a common mutational target using bacterial species belonging to two genera, Escherichia coli and Vibrio natriegens, in separate growth conditions implemented during laboratory evolution. The mutations clustered in the redox active site, dimer interface, and flexible redox loop of the protein. These mutations favor the oxidized conformation of OxyR that results in constitutive expression of the genes it regulates. Independent component analysis of the transcriptome revealed that the constitutive activity of OxyR reduces DNA damage from reactive oxygen species, as inferred from the activity of the SOS response regulator LexA. This adaptation to peroxide stress came at a cost of lower growth, as revealed by calculations of proteome allocation using genome-scale models of metabolism and macromolecular expression. Further, identification of similar sequence changes in natural isolates of E. coli indicates that adaptation to oxidative stress through genetic changes in oxyR can be a common occurrence.

Indexed as

Adaptation, PhysiologicalBacterial ProteinsCatalytic DomainDirected Molecular EvolutionEscherichia coliEscherichia coli ProteinsGene Expression Regulation, BacterialModels, MolecularMutationOxidative StressProtein ConformationReactive Oxygen SpeciesRepressor ProteinsTranscription FactorsVibrioBacterial ProteinsEscherichia coli ProteinsoxyR protein, E coliReactive Oxygen SpeciesRepressor ProteinsTranscription Factorsadaptive laboratory evolutionoxidative stresssystems biology

Identifiers

PMID31651953
PMCPMC7038661
OpenAlexW2981438196

What OpenQuestion holds

Textmetadata
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.