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A High-Resolution LC-MS-Based Secondary Metabolite Fingerprint Database of Marine Bacteria
Marine bacteria are the most widely distributed organisms in the ocean environment and produce a wide variety of secondary metabolites. However, traditional screening for bioactive natural compounds is greatly hindered by the lack of a systematic way of cataloguing the chemical profiles of bacterial...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5377448/ https://www.ncbi.nlm.nih.gov/pubmed/25298017 http://dx.doi.org/10.1038/srep06537 |
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author | Lu, Liang Wang, Jijie Xu, Ying Wang, Kailing Hu, Yingwei Tian, Renmao Yang, Bo Lai, Qiliang Li, Yongxin Zhang, Weipeng Shao, Zongze Lam, Henry Qian, Pei-Yuan |
author_facet | Lu, Liang Wang, Jijie Xu, Ying Wang, Kailing Hu, Yingwei Tian, Renmao Yang, Bo Lai, Qiliang Li, Yongxin Zhang, Weipeng Shao, Zongze Lam, Henry Qian, Pei-Yuan |
author_sort | Lu, Liang |
collection | PubMed |
description | Marine bacteria are the most widely distributed organisms in the ocean environment and produce a wide variety of secondary metabolites. However, traditional screening for bioactive natural compounds is greatly hindered by the lack of a systematic way of cataloguing the chemical profiles of bacterial strains found in nature. Here we present a chemical fingerprint database of marine bacteria based on their secondary metabolite profiles, acquired by high-resolution LC-MS. Till now, 1,430 bacterial strains spanning 168 known species collected from different marine environments were cultured and profiled. Using this database, we demonstrated that secondary metabolite profile similarity is approximately, but not always, correlated with taxonomical similarity. We also validated the ability of this database to find species-specific metabolites, as well as to discover known bioactive compounds from previously unknown sources. An online interface to this database, as well as the accompanying software, is provided freely for the community to use. |
format | Online Article Text |
id | pubmed-5377448 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-53774482017-04-05 A High-Resolution LC-MS-Based Secondary Metabolite Fingerprint Database of Marine Bacteria Lu, Liang Wang, Jijie Xu, Ying Wang, Kailing Hu, Yingwei Tian, Renmao Yang, Bo Lai, Qiliang Li, Yongxin Zhang, Weipeng Shao, Zongze Lam, Henry Qian, Pei-Yuan Sci Rep Article Marine bacteria are the most widely distributed organisms in the ocean environment and produce a wide variety of secondary metabolites. However, traditional screening for bioactive natural compounds is greatly hindered by the lack of a systematic way of cataloguing the chemical profiles of bacterial strains found in nature. Here we present a chemical fingerprint database of marine bacteria based on their secondary metabolite profiles, acquired by high-resolution LC-MS. Till now, 1,430 bacterial strains spanning 168 known species collected from different marine environments were cultured and profiled. Using this database, we demonstrated that secondary metabolite profile similarity is approximately, but not always, correlated with taxonomical similarity. We also validated the ability of this database to find species-specific metabolites, as well as to discover known bioactive compounds from previously unknown sources. An online interface to this database, as well as the accompanying software, is provided freely for the community to use. Nature Publishing Group 2014-10-09 /pmc/articles/PMC5377448/ /pubmed/25298017 http://dx.doi.org/10.1038/srep06537 Text en Copyright © 2014, Macmillan Publishers Limited. All rights reserved http://creativecommons.org/licenses/by-nc-nd/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder in order to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/4.0/ |
spellingShingle | Article Lu, Liang Wang, Jijie Xu, Ying Wang, Kailing Hu, Yingwei Tian, Renmao Yang, Bo Lai, Qiliang Li, Yongxin Zhang, Weipeng Shao, Zongze Lam, Henry Qian, Pei-Yuan A High-Resolution LC-MS-Based Secondary Metabolite Fingerprint Database of Marine Bacteria |
title | A High-Resolution LC-MS-Based Secondary Metabolite Fingerprint Database of Marine Bacteria |
title_full | A High-Resolution LC-MS-Based Secondary Metabolite Fingerprint Database of Marine Bacteria |
title_fullStr | A High-Resolution LC-MS-Based Secondary Metabolite Fingerprint Database of Marine Bacteria |
title_full_unstemmed | A High-Resolution LC-MS-Based Secondary Metabolite Fingerprint Database of Marine Bacteria |
title_short | A High-Resolution LC-MS-Based Secondary Metabolite Fingerprint Database of Marine Bacteria |
title_sort | high-resolution lc-ms-based secondary metabolite fingerprint database of marine bacteria |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5377448/ https://www.ncbi.nlm.nih.gov/pubmed/25298017 http://dx.doi.org/10.1038/srep06537 |
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