Metabolomics analysis for quorum sensing biomarkers in Pseudomonas aeruginosa biofilms
Pseudomonas aeruginosa is an opportunistic pathogen that causes a wide range of medical problems and can be difficult to eradicate by conventional antimicrobials due to formation of biofilms. Quorum sensing, the process by which bacteria communicate with each other through the use of chemical signal...
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sg-ntu-dr.10356-607232023-02-28T18:06:45Z Metabolomics analysis for quorum sensing biomarkers in Pseudomonas aeruginosa biofilms Chen, Junzheng Yang Liang School of Biological Sciences Singapore Centre for Environmental Life Sciences Engineering DRNTU::Science::Biological sciences::Microbiology::Bacteria Pseudomonas aeruginosa is an opportunistic pathogen that causes a wide range of medical problems and can be difficult to eradicate by conventional antimicrobials due to formation of biofilms. Quorum sensing, the process by which bacteria communicate with each other through the use of chemical signals, plays a pivotal role in biofilm formation. Through a metabolomics approach, we aim to study the metabolic processes of wild-type P. aeruginosa PAO1 strain and its relationship to biofilm formation, and also discover biomarkers which could be used for biofilm detection. From our chemostat setup, the expression of QS signals from rhlA, lasB and pqs reporter genes were reportedly the highest at 0.03 dilution rate. A comparison between NMR spectra shows that rhamnolipid and 2-heptyl-4-quinolone were found to be higher in a nutrient limited environment (ABTG media). By matching the NMR peaks with online databases (MMCD and KEGG), we have identified potential biomarkers related to Pseudomonas Quinolone Signal mediated quorum sensing and isoleucine synthesis pathway. Using LCMS analysis as a complement, D-erythro-3-Methylmalate was identified as a precursor of isoleucine. This demonstrates metabolomics is a flexible and systemic approach towards understanding metabolic network of quorum sensing mechanism and discovery of biomarkers. Bachelor of Science in Biological Sciences 2014-05-29T07:26:46Z 2014-05-29T07:26:46Z 2014 2014 Final Year Project (FYP) http://hdl.handle.net/10356/60723 en Nanyang Technological University 56 p. application/pdf |
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DRNTU::Science::Biological sciences::Microbiology::Bacteria Chen, Junzheng Metabolomics analysis for quorum sensing biomarkers in Pseudomonas aeruginosa biofilms |
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Pseudomonas aeruginosa is an opportunistic pathogen that causes a wide range of medical problems and can be difficult to eradicate by conventional antimicrobials due to formation of biofilms. Quorum sensing, the process by which bacteria communicate with each other through the use of chemical signals, plays a pivotal role in biofilm formation. Through a metabolomics approach, we aim to study the metabolic processes of wild-type P. aeruginosa PAO1 strain and its relationship to biofilm formation, and also discover biomarkers which could be used for biofilm detection. From our chemostat setup, the expression of QS signals from rhlA, lasB and pqs reporter genes were reportedly the highest at 0.03 dilution rate. A comparison between NMR spectra shows that rhamnolipid and 2-heptyl-4-quinolone were found to be higher in a nutrient limited environment (ABTG media). By matching the NMR peaks with online databases (MMCD and KEGG), we have identified potential biomarkers related to Pseudomonas Quinolone Signal mediated quorum sensing and isoleucine synthesis pathway. Using LCMS analysis as a complement, D-erythro-3-Methylmalate was identified as a precursor of isoleucine. This demonstrates metabolomics is a flexible and systemic approach towards understanding metabolic network of quorum sensing mechanism and discovery of biomarkers. |
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Yang Liang |
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Yang Liang Chen, Junzheng |
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Final Year Project |
author |
Chen, Junzheng |
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Chen, Junzheng |
title |
Metabolomics analysis for quorum sensing biomarkers in Pseudomonas aeruginosa biofilms |
title_short |
Metabolomics analysis for quorum sensing biomarkers in Pseudomonas aeruginosa biofilms |
title_full |
Metabolomics analysis for quorum sensing biomarkers in Pseudomonas aeruginosa biofilms |
title_fullStr |
Metabolomics analysis for quorum sensing biomarkers in Pseudomonas aeruginosa biofilms |
title_full_unstemmed |
Metabolomics analysis for quorum sensing biomarkers in Pseudomonas aeruginosa biofilms |
title_sort |
metabolomics analysis for quorum sensing biomarkers in pseudomonas aeruginosa biofilms |
publishDate |
2014 |
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http://hdl.handle.net/10356/60723 |
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1759853125335777280 |