Co-selection of Antibiotic and Metal Resistance.
From: Savannah River Ecology Laboratory, Drawer E, SC 29803, USA. baker@srel.edu
Trends in microbiology
- Publish Date: Apr 2006
- ISSN: 0966-842X
- Volume: 14
- Issue: 4
- Pages: 176-82
- Medium: Print
- Language: English
- Citation (JAMA): Baker-Austin Craig, Wright Meredith S, Stepanauskas Ramunas, et al. Co-selection of Antibiotic and Metal Resistance.. Trends Microbiol. Apr 2006;14:176-82
Abstract
There is growing concern that metal contamination functions as a selective agent in the proliferation of antibiotic resistance. Documented associations between the types and levels of metal contamination and specific patterns of antibiotic resistance suggest that several mechanisms underlie this co-selection process. These co-selection mechanisms include co-resistance (different resistance determinants present on the same genetic element) and cross-resistance (the same genetic determinant responsible for resistance to antibiotics and metals). Indirect but shared regulatory responses to metal and antibiotic exposure such as biofilm induction also represent potential co-selection mechanisms used by prokaryotes. Metal contamination, therefore, represents a long-standing, widespread and recalcitrant selection pressure with both environmental and clinical importance that potentially contributes to the maintenance and spread of antibiotic resistance factors.
Mesh Headings (Keywords): Anti-Bacterial Agents, Bacteria, Drug Resistance, Bacterial, Metals, Heavy, Selection (Genetics)
Check for Full Text / PubMed Unique Identifier (PMID): 16537105
This abstract is part of PubMed, a service of the U.S. National Library of Medicine. PubMed includes more than 17 million citations from MEDLINE and other life science journals for biomedical articles. See Copyright and Disclaimers.
Linked medical terms appearing on this page are added by Healia to help readers find more information and are not part of the original PubMed document.
The data herein was last updated on July 8th, 2008 and may not reflect the most current and accurate data available from NLM.
