ArticleThe ISME journal2016
Transcription factor levels enable metabolic diversification of single cells of environmental bacteria.
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.
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Who cites it
6 citing papers in PubMed.
- Phenotypic heterogeneity in the human gut microbiome revealed by subspecies-resolution single-cell transcriptomics.bioRxiv : the preprint server for biology · 2026Article
- Transcriptional heterogeneity of catabolic genes on the plasmid pCAR1 causes host-specific carbazole degradation.Applied and environmental microbiology · 2024Article
- Article
- Bacterial metabolic heterogeneity: origins and applications in engineering and infectious disease.Current opinion in biotechnology · 2020Review
- The emergence of metabolic heterogeneity and diverse growth responses in isogenic bacterial cells.The ISME journal · 2018Article
- Spatially Correlated Gene Expression in Bacterial Groups: The Role of Lineage History, Spatial Gradients, and Cell-Cell Interactions.Cell systems · 2018Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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