Tandem mass spectral metabolic profiling of 54 actinobacterial strains and their 459 mutants

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Tandem mass spectral metabolic profiling of 54 actinobacterial strains and their 459 mutants
Title:
Tandem mass spectral metabolic profiling of 54 actinobacterial strains and their 459 mutants
Journal Title:
Scientific Data
Publication Date:
07 September 2024
Citation:
Tay, D. W. P., Tan, L. L., Heng, E., Zulkarnain, N., Chin, E. J., Tan, Z. Y. Q., Leong, C. Y., Ng, V. W. P., Yang, L. K., Seow, D. C. S., Kanagasundaram, Y., Ng, S. B., Lim, Y. H., & Wong, F. T. (2024). Tandem mass spectral metabolic profiling of 54 actinobacterial strains and their 459 mutants. Scientific Data, 11(1). https://doi.org/10.1038/s41597-024-03833-9
Abstract:
Natural products encompass a diverse range of compounds with high impact applications in consumer care, agriculture and most notably, therapeutics. However, despite the expansive chemical repertoire indicated in genomic information of microbes, only a small subset can be obtained under laboratory conditions. To increase accessible chemical space and realize Nature’s full chemical potential, a multi-pronged genetic- and cultivation-based strategy has been employed to activate and upregulate natural product biosyntheses in native and heterologous strains. This data descriptor documents a characterized collection of 2,138 liquid chromatography-tandem mass spectrometry (LC/MS-MS) spectra of fermentation extracts from 54 native actinobacterial strains collected from soil and marine environments in Singapore, and their 459 activated mutants in 3 to 5 media. A total of 743 unique metabolites have been identified, with the activated mutants demonstrating an approximately 2-fold expansion in accessible chemical space over wild type strains. Interrogating this expanded chemical diversity with cheminformatic tools can provide direction for the discovery of novel natural products with desirable functional activity.
License type:
Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)
Funding Info:
This research / project is supported by the National Research Foundation, Singapore - Competitive Research Programme
Grant Reference no. : NRF-CRP19-2017-05-00

This research / project is supported by the Agency for Science, Technology and Research (A*STAR), Singapore - Singapore Integrative Biosystems and Engineering Research Strategic Research & Translational Trust (SIBER SRTT)
Grant Reference no. : C211917003, C211917006

This research / project is supported by the Agency for Science, Technology and Research (A*STAR), Singapore - Singapore Integrative Biosystems and Engineering Research 2.0 Strategic Research & Translational Trust (SIBER 2.0 SRTT)
Grant Reference no. : C233017006
Description:
ISSN:
2052-4463
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