Title |
Genome-wide enrichment screening reveals multiple targets and resistance genes for triclosan in Escherichia coli
|
---|---|
Published in |
Journal of Microbiology, November 2012
|
DOI | 10.1007/s12275-012-2439-0 |
Pubmed ID | |
Authors |
Byung Jo Yu, Jung Ae Kim, Hyun Mok Ju, Soo-Kyung Choi, Seung Jin Hwang, Sungyoo Park, EuiJoong Kim, Jae-Gu Pan |
Abstract |
Triclosan is a widely used biocide effective against different microorganisms. At bactericidal concentrations, triclosan appears to affect multiple targets, while at bacteriostatic concentrations, triclosan targets FabI. The site-specific antibiotic-like mode-of-action and a widespread use of triclosan in household products claimed to possibly induce cross-resistance to other antibiotics. Thus, we set out to define more systematically the genes conferring resistance to triclosan; A genomic library of Escherichia coli strain W3110 was constructed and enriched in a selective medium containing a lethal concentration of triclosan. The genes enabling growth in the presence of triclosan were identified by using a DNA microarray and confirmed consequently by ASKA clones overexpressing the selected 62 candidate genes. Among these, forty-seven genes were further confirmed to enhance the resistance to triclosan; these genes, including the FabI target, were involved in inner or outer membrane synthesis, cell-surface material synthesis, transcriptional activation, sugar phosphotransferase (PTS) systems, various transporter systems, cell division, and ATPase and reductase/dehydrogenase reactions. In particular, overexpression of pgsA, rcsA, or gapC conferred to E. coli cells a similar level of triclosan resistance induced by fabI overexpression. These results indicate that triclosan may have multiple targets other than well-known FabI and that there are several undefined novel mechanisms for the resistance development to triclosan, thus probably inducing cross antibiotic resistance. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Indonesia | 1 | 2% |
United States | 1 | 2% |
Unknown | 49 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 14 | 27% |
Student > Ph. D. Student | 10 | 20% |
Student > Bachelor | 8 | 16% |
Student > Doctoral Student | 2 | 4% |
Other | 2 | 4% |
Other | 8 | 16% |
Unknown | 7 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 18 | 35% |
Biochemistry, Genetics and Molecular Biology | 11 | 22% |
Engineering | 4 | 8% |
Immunology and Microbiology | 4 | 8% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 4% |
Other | 4 | 8% |
Unknown | 8 | 16% |