ArticlePLoS computational biology2017
Customized Regulation of Diverse Stress Response Genes by the Multiple Antibiotic Resistance Activator MarA.
Article in PLoS computational biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Biofilm-mediated antibiotic tolerance in bacterial pathogens: Integrated molecular networks and novel therapeutic avenues.Virulence · 2026Review
- The Mar, Sox, and Rob Systems.EcoSal Plus · 2023Review
- Dynamic gene expression and growth underlie cell-to-cell heterogeneity inProceedings of the National Academy of Sciences of the United States of America · 2022Article
- Independent control of mean and noise by convolution of gene expression distributions.Nature communications · 2021Article
- Insights into Emergence of Antibiotic Resistance in Acid-Adapted EnterohaemorrhagicAntibiotics (Basel, Switzerland) · 2021Review
- Active degradation of MarA controls coordination of its downstream targets.PLoS computational biology · 2018Article
- Heterogeneity in efflux pump expression predisposes antibiotic-resistant cells to mutation.Science (New York, N.Y.) · 2018Article
- Negative feedback increases information transmission, enabling bacteria to discriminate sublethal antibiotic concentrations.Science advances · 2018Article
- Antibiotic export by efflux pumps affects growth of neighboring bacteria.Scientific reports · 2018Article
- Stress Introduction Rate Alters the Benefit of AcrAB-TolC Efflux Pumps.Journal of bacteriology · 2018Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Stress response networks frequently have a single upstream regulator that controls many downstream genes. However, the downstream targets are often diverse, therefore it remains unclear how their expression is specialized when under the command of a common regulator. To address this, we focused on a stress response network where the multiple antibiotic resistance activator MarA from Escherichia coli regulates diverse targets ranging from small RNAs to efflux pumps. Using single-cell experiments and computational modeling, we showed that each downstream gene studied has distinct activation, noise, and information transmission properties. Critically, our results demonstrate that understanding biological context is essential; we found examples where strong activation only occurs outside physiologically relevant ranges of MarA and others where noise is high at wild type MarA levels and decreases as MarA reaches its physiological limit. These results demonstrate how a single regulatory protein can maintain specificity while orchestrating the response of many downstream genes.
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Registered trials
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