The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A novel and sensitive method for the quantification of N ‐3‐oxoacyl homoserine lactones using gas chromatography–mass spectrometry: application to a model bacterial biofilm
Abstract
A method is reported for the quantification of 3‐oxoacyl homoserine lactones (3‐oxo AHLs), a major class of quorum‐sensing signals found in Gram‐negative bacteria. It is based on the conversion of 3‐oxo AHLs to their pentafluorobenzyloxime derivatives followed by gas chromatography–mass spectrometry (electron capture–negative ion). The method used [ 13 C 16 ]‐ N ‐3‐oxo‐dodecanoyl homoserine lactone ([ 13 C 16 ]‐OdDHL) as the internal standard, and its validity was tested by spiking the supernatant and cell fractions with three levels of 3‐oxo AHLs, i.e. 1, 10 and 100 ng per sample. These showed the method to be both sensitive (S/N ratio > 10:1 for 1 ng) and accurate. The assay was applied to the biofilm and effluent of a green fluorescent protein (GFP)‐expressing strain of Pseudomonas aeruginosa (6294) culture grown in flow cells. Biofilm volume was determined for three replicate flow cells by confocal scanning laser microscopy. OdDHL was detected in the biofilm at 632 ± 381 µM and the effluent at 14 ± 3 nM. The biofilm concentration is the highest level so far reported for an AHL in a wild‐type bacterial system. The next most abundant 3‐oxo AHL in the biofilm and effluent was N ‐3‐oxo‐tetradecanoyl homoserine lactone (OtDHL) at 40 ± 15 µM and 1.5 ± 0.7 nM respectively. OtDHL is unreported for P. aeruginosa and has an activity equivalent to OdDHL in a lasR bioassay. Two other 3‐oxo AHLs were detected at lower concentrations: N ‐3‐oxo‐decanoyl homoserine lactone (ODHL) in the biofilm (3 ± 2 µM) and effluent (1 ± 0.1 nM); and N ‐3‐oxo‐octanoyl homoserine lactone (OOHL) in the effluent (0.1 ± 0.1 nM).
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Cites
Bacterial Biofilms: A Common Cause of Persistent Infections
Costerton, J. W., Stewart, P. S., & Greenberg, E. P. (1999) · Science · doi:10.1126/science.284.5418.1318 · Cited by 12,167
The Involvement of Cell-to-Cell Signals in the Development of a Bacterial Biofilm
Davies, D. G., Parsek, M. R., Pearson, J. P., Iglewski, B. H., Costerton, J. W., & Greenberg, E. P. (1998) · Science · doi:10.1126/science.280.5361.295 · Cited by 3,396
Cited by
Biofilms: an emergent form of bacterial life
Flemming, H.-C., Wingender, J., Szewzyk, U., Steinberg, P., Rice, S. A., & Kjelleberg, S. (2016) · Nature Reviews Microbiology · doi:10.1038/nrmicro.2016.94 · Cited by 5,979
Self-citationHentzer, M., Riedel, K., Rasmussen, T. B., Heydorn, A., Andersen, J. B., Parsek, M. R., Rice, S. A., Eberl, L., Molin, S., Høiby, N., et al. (2002) · Microbiology · doi:10.1099/00221287-148-1-87 · Cited by 1,050
Self-citationA Pseudomonas aeruginosa quorum‐sensing molecule influences Candida albicans morphology
Hogan, D. A., Vik, Å., & Kolter, R. (2004) · Molecular Microbiology · doi:10.1111/j.1365-2958.2004.04349.x · Cited by 575
Engineering microbes to sense and eradicate Pseudomonas aeruginosa , a human pathogen
Saeidi, N., Wong, C. K., Lo, T., Nguyen, H. X., Ling, H., Leong, S. S. J., Poh, C. L., & Chang, M. W. (2011) · Molecular Systems Biology · doi:10.1038/msb.2011.55 · Cited by 369
Should the biofilm mode of life be taken into consideration for microbial biocontrol agents?
Pandin, C., Le Coq, D., Canette, A., Aymerich, S., & Briandet, R. (2017) · Microbial Biotechnology · doi:10.1111/1751-7915.12693 · Cited by 157
Metadata
- Authors
- Charlton, T. S., De Nys, R., Netting, A., Kumar, N., Hentzer, M., Givskov, M., & Kjelleberg, S.
- Venue
- Environmental Microbiology
- Publisher
- Wiley
- Published
- 2000-10
- Volume
- 2
- Issue
- 5
- Pages
- 530-541
- ISSN
- 1462-2912 (ISSN-L)
- 1462-2920
- OpenAlex
- W2050187150
- Cited by
- 322
- References
- 2
- FWCI
- 2.70
- Type
- journal article
- Language
- en
- Open access
- closed
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- Charlton, T. S., De Nys, R., Netting, A., Kumar, N., Hentzer, M., Givskov, M., & Kjelleberg, S. (2000). A novel and sensitive method for the quantification of N ‐3‐oxoacyl homoserine lactones using gas chromatography–mass spectrometry: application to a model bacterial biofilm. Environmental Microbiology. https://doi.org/10.1046/j.1462-2920.2000.00136.x
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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