Evidence map›Paper›PMID 27028226›Full record

ArticlePloS one2016

Multiple σEcfG and NepR Proteins Are Involved in the General Stress Response in Methylobacterium extorquens.

Anne Francez-Charlot, Julia Frunzke, Judith Zingg, Andreas Kaczmarczyk, Julia A Vorholt

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 33% 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

7 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
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  4. Review
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  6. Article
  7. Designing and EngineeringFrontiers in microbiology · 2019
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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

5 authors at 1 institution in 1 country.

Anne Francez-CharlotInstitute of Microbiology, ETH Zurich, Zurich, Switzerland.
Julia FrunzkeInstitute of Microbiology, ETH Zurich, Zurich, Switzerland.
Judith ZinggInstitute of Microbiology, ETH Zurich, Zurich, Switzerland.
Andreas KaczmarczykInstitute of Microbiology, ETH Zurich, Zurich, Switzerland.
Julia A VorholtInstitute of Microbiology, ETH Zurich, Zurich, Switzerland.
ETH Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In Alphaproteobacteria, the general stress response (GSR) is controlled by a conserved partner switch composed of the sigma factor σ(EcfG), its anti-sigma factor NepR and the anti-sigma factor antagonist PhyR. Many species possess paralogues of one or several components of the system, but their roles remain largely elusive. Among Alphaproteobacteria that have been genome-sequenced so far, the genus Methylobacterium possesses the largest number of σ(EcfG) proteins. Here, we analyzed the six σ(EcfG) paralogues of Methylobacterium extorquens AM1. We show that these sigma factors are not truly redundant, but instead exhibit major and minor contributions to stress resistance and GSR target gene expression. We identify distinct levels of regulation for the different sigma factors, as well as two NepR paralogues that interact with PhyR. Our results suggest that in M. extorquens AM1, ecfG and nepR paralogues have diverged in order to assume new roles that might allow integration of positive and negative feedback loops in the regulatory system. Comparison of the core elements of the GSR regulatory network in Methylobacterium species provides evidence for high plasticity and rapid evolution of the GSR core network in this genus.

Indexed as

Gene Expression Regulation, BacterialGene Regulatory NetworksMethylobacterium extorquensSigma FactorStress, PhysiologicalSigma Factor

Identifiers

PMID27028226
PMCPMC4814048
OpenAlexW2313759349

What OpenQuestion holds

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LicenceCC BY
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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.