Meeting gene expression demand during evolution of antibiotic resistance

Clicks: 15
ID: 333224
2026
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #343 of 392 articles by views in current genetics

Most read Least read

Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 392 in total.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
Abstract Regulated gene expression in bacteria accommodates demands imposed by different environments. In addition to ensuring the production of required metabolic and structural components, gene regulation protects bacteria against the adverse effects of misexpression. Upon encountering a novel environment, such as sustained exposure to antibiotics, transcriptional recalibration ensues to improve fitness. For antibiotics, this involves enhancing the expression of an existing repertoire of resistance mechanisms and is often mediated by mutations in regulators of gene expression. Here, we review how diverse gene regulatory mutations confer antibiotic resistance to bacterial pathogens. We view these strategies through the lens of the Gene Expression Demand Theory, originally proposed for inducible operons involved in sugar metabolism, and describe the molecular basis and evolutionary consequences for a few well-studied examples. Broad underlying preferences of when and which kind of regulatory mutations bacteria employ emerge from these examples. A key pattern appears to be a preference for derepression rather than activating mutations, and we highlight potential underlying genetic and evolutionary explanations. Finally, even as our knowledge of molecular mechanisms of antibiotic adaptation continues to expand, we propose that adaptation by regulatory mutations provides a framework for assessing the risk of resistance evolution in the case of novel antibiotics and alternative targets for diagnostic and therapeutic interventions.
Reference Key
openalex_W7223091658 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors
Journal current genetics
Year 2026
DOI
10.1093/genetics/iyag278
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.