A High-Resolution LC-MS-Based Secondary Metabolite Fingerprint Database of Marine Bacteria

Handle URI:
http://hdl.handle.net/10754/596982
Title:
A High-Resolution LC-MS-Based Secondary Metabolite Fingerprint Database of Marine Bacteria
Authors:
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
Abstract:
© 2014 Macmillan Publishers Limited. All rights reserved. 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.
Citation:
Lu L, Wang J, Xu Y, Wang K, Hu Y, et al. (2014) A High-Resolution LC-MS-Based Secondary Metabolite Fingerprint Database of Marine Bacteria. Scientific Reports 4: 6537. Available: http://dx.doi.org/10.1038/srep06537.
Publisher:
Nature Publishing Group
Journal:
Scientific Reports
KAUST Grant Number:
SA-C0040/UK-C0016
Issue Date:
9-Oct-2014
DOI:
10.1038/srep06537
PubMed ID:
25298017
Type:
Article
ISSN:
2045-2322
Sponsors:
This study was supported by grants from the China Mineral Resources Research and
Appears in Collections:
Publications Acknowledging KAUST Support

Full metadata record

DC FieldValue Language
dc.contributor.authorLu, Liangen
dc.contributor.authorWang, Jijieen
dc.contributor.authorXu, Yingen
dc.contributor.authorWang, Kailingen
dc.contributor.authorHu, Yingweien
dc.contributor.authorTian, Renmaoen
dc.contributor.authorYang, Boen
dc.contributor.authorLai, Qiliangen
dc.contributor.authorLi, Yongxinen
dc.contributor.authorZhang, Weipengen
dc.contributor.authorShao, Zongzeen
dc.contributor.authorLam, Henryen
dc.contributor.authorQian, Pei-Yuanen
dc.date.accessioned2016-02-23T13:51:46Zen
dc.date.available2016-02-23T13:51:46Zen
dc.date.issued2014-10-09en
dc.identifier.citationLu L, Wang J, Xu Y, Wang K, Hu Y, et al. (2014) A High-Resolution LC-MS-Based Secondary Metabolite Fingerprint Database of Marine Bacteria. Scientific Reports 4: 6537. Available: http://dx.doi.org/10.1038/srep06537.en
dc.identifier.issn2045-2322en
dc.identifier.pmid25298017en
dc.identifier.doi10.1038/srep06537en
dc.identifier.urihttp://hdl.handle.net/10754/596982en
dc.description.abstract© 2014 Macmillan Publishers Limited. All rights reserved. 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.en
dc.description.sponsorshipThis study was supported by grants from the China Mineral Resources Research anden
dc.publisherNature Publishing Groupen
dc.rightsThis 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/en
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en
dc.titleA High-Resolution LC-MS-Based Secondary Metabolite Fingerprint Database of Marine Bacteriaen
dc.typeArticleen
dc.identifier.journalScientific Reportsen
dc.contributor.institutionHong Kong University of Science and Technology, Hong Kong, Chinaen
dc.contributor.institutionHong Kong University of Science and Technology, Hong Kong, Chinaen
dc.contributor.institutionHong Kong University of Science and Technology, Hong Kong, Chinaen
dc.contributor.institutionOcean University of China, Qingdao, Chinaen
dc.contributor.institutionHong Kong University of Science and Technology, Hong Kong, Chinaen
dc.contributor.institutionState Oceanic Administration China, Xiamen, Chinaen
kaust.grant.numberSA-C0040/UK-C0016en

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