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

Liang Lu; Jijie Wang; Ying Xu; Kailing Wang; Yingwei Hu; Renmao Tian; Bo Yang; Qiliang Lai; Yongxin Li; Weipeng Zhang; Zongze Shao; Henry Lam; Pei-Yuan Qian

doi:10.1038/srep06537

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

Liang Lu, Jijie Wang, Ying Xu, Kailing Wang, Yingwei Hu, Renmao Tian, Bo Yang, Qiliang Lai, Yongxin Li, Weipeng Zhang, Zongze Shao, Henry Lam, Pei-Yuan Qian

Research output: Contribution to journal › Article › peer-review

18 Scopus citations

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.

Original language	English (US)
Journal	Scientific Reports
Volume	4
Issue number	1
DOIs	https://doi.org/10.1038/srep06537
State	Published - Oct 9 2014
Externally published	Yes

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10.1038/srep06537

https://repository.kaust.edu.sa/bitstream/10754/596982/1/srep06537.pdf

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title = "A High-Resolution LC-MS-Based Secondary Metabolite Fingerprint Database of Marine Bacteria",

abstract = "{\textcopyright} 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.",

author = "Liang Lu and Jijie Wang and Ying Xu and Kailing Wang and Yingwei Hu and Renmao Tian and Bo Yang and Qiliang Lai and Yongxin Li and Weipeng Zhang and Zongze Shao and Henry Lam and Pei-Yuan Qian",

note = "KAUST Repository Item: Exported on 2020-10-01 Acknowledged KAUST grant number(s): SA-C0040/UK-C0016 Acknowledgements: This study was supported by grants from the China Mineral Resources Research and This publication acknowledges KAUST support, but has no KAUST affiliated authors.",

year = "2014",

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doi = "10.1038/srep06537",

language = "English (US)",

volume = "4",

journal = "Scientific Reports",

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T1 - A High-Resolution LC-MS-Based Secondary Metabolite Fingerprint Database of Marine Bacteria

AU - Lu, Liang

AU - Wang, Jijie

AU - Xu, Ying

AU - Wang, Kailing

AU - Hu, Yingwei

AU - Tian, Renmao

AU - Yang, Bo

AU - Lai, Qiliang

AU - Li, Yongxin

AU - Zhang, Weipeng

AU - Shao, Zongze

AU - Lam, Henry

AU - Qian, Pei-Yuan

N1 - KAUST Repository Item: Exported on 2020-10-01 Acknowledged KAUST grant number(s): SA-C0040/UK-C0016 Acknowledgements: This study was supported by grants from the China Mineral Resources Research and This publication acknowledges KAUST support, but has no KAUST affiliated authors.

PY - 2014/10/9

Y1 - 2014/10/9

N2 - © 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.

AB - © 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.

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U2 - 10.1038/srep06537

DO - 10.1038/srep06537

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SN - 2045-2322

VL - 4

JO - Scientific Reports

JF - Scientific Reports

IS - 1

ER -

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

Abstract

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