Evidence map›Paper›PMID 26636554›Full record

ArticleThe ISME journal2016

Transcription factor levels enable metabolic diversification of single cells of environmental bacteria.

Raúl Guantes, Ilaria Benedetti, Rafael Silva-Rocha, Víctor de Lorenzo

Abstract read
In one paragraph

Article in The ISME journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. 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

4 authors.

Raúl GuantesDepartment of Condensed Matter Physics and Materials Science Institute 'Nicolás Cabrera', Facultad de Ciencias, Universidad Autónoma de Madrid, Madrid, Cantoblanco, Spain.
Ilaria BenedettiSystems Biology Program, Centro Nacional de Biotecnología CSIC, Madrid, Cantoblanco, Spain.
Rafael Silva-RochaSystems Biology Program, Centro Nacional de Biotecnología CSIC, Madrid, Cantoblanco, Spain.
Víctor de LorenzoSystems Biology Program, Centro Nacional de Biotecnología CSIC, Madrid, Cantoblanco, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcriptional noise is a necessary consequence of the molecular events that drive gene expression in prokaryotes. However, some environmental microorganisms that inhabit polluted sites, for example, the m-xylene degrading soil bacterium Pseudomonas putida mt-2 seem to have co-opted evolutionarily such a noise for deploying a metabolic diversification strategy that allows a cautious exploration of new chemical landscapes. We have examined this phenomenon under the light of deterministic and stochastic models for activation of the main promoter of the master m-xylene responsive promoter of the system (Pu) by its cognate transcriptional factor (XylR). These analyses consider the role of co-factors for Pu activation and determinants of xylR mRNA translation. The model traces the onset and eventual disappearance of the bimodal distribution of Pu activity along time to the growth-phase dependent abundance of XylR itself, that is, very low in exponentially growing cells and high in stationary. This tenet was validated by examining the behaviour of a Pu-GFP fusion in a P. putida strain in which xylR expression was engineered under the control of an IPTG-inducible system. This work shows how a relatively simple regulatory scenario (for example, growth-phase dependent expression of a limiting transcription factor) originates a regime of phenotypic diversity likely to be advantageous in competitive environmental settings.

Indexed as

Soil MicrobiologyGene Expression Regulation, BacterialMetabolic Networks and PathwaysMetabolismPromoter Regions, GeneticPseudomonas putidaStochastic ProcessesTranscription FactorsXylenes3-xyleneTranscription FactorsXylenes

Identifiers

PMID26636554
PMCPMC5029220

What OpenQuestion holds

Textmetadata
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.