Literature DB >> 30949808

Genome mining and metabolic profiling illuminate the chemistry driving diverse biological activities of Bacillus siamensis SCSIO 05746.

Huaqi Pan1,2, Xinpeng Tian2, Mingwei Shao2, Yunchang Xie2, Hongbo Huang2, Jiangchun Hu1, Jianhua Ju3.   

Abstract

Bacillus spp. are important producers of bioactive natural products with potential applications in medicine and agriculture. Bacillus sp. SCSIO 05476 from a deep-sea sediment exhibits broad-spectrum antimicrobial activities and strong cytotoxic activity. Here, an integrative approach combining genome mining and metabolic profiling has been applied to decipher the chemical origins of this strain's varied and significant biological activities. First, genome mining revealed 19 candidate gene clusters encoding the biosynthesis of diverse secondary metabolites. Then, a series of bacillibactins, fengycins, bacillomycins, surfactins, bacillaenes, macrolactins, and related species were found by LC-DAD-MS. Finally, three new linear bacillibactins, linbacillibactins A-C (1-3), along with 11 known secondary metabolites, bacillibactin (4), normal-C13 Val7 surfactin (5), anteiso-C13 Leu7 surfactin (6), iso-C14 Leu7 surfactin (7), normal-C14 Leu7 surfactin (8), anteiso-C14 Leu7 surfactin (9), macrolactin D (10), normal-C14 bacillomycin D (11), iso-C16 bacillomycin D (12), normal-C17 bacillomycin D (13), and iso-C17 bacillomycin D (14), were obtained and elucidated by bioactivity and structure-guided isolation from the fermentation of strain SCSIO 05746. Among them, new compounds 1-3 show significant siderophore activities comparable to that of bacillibactin (4), compounds 13 and 14 exhibit strong cytotoxic activity. At the same time, the strain classification status was confirmed by genomic analyses, and the complete genome sequence of Bacillus siamensis was presented firstly. This study provides a foundation for understanding the mechanisms driving SCSIO 05746's multiple bioactivities and demonstrates a successful way of discovering bioactive metabolites using a combination of genome mining and metabolic profiling methods.

Entities:  

Keywords:  Bacillus; Genome; Non-ribosomal peptide; Secondary metabolite; Siderophore

Mesh:

Substances:

Year:  2019        PMID: 30949808     DOI: 10.1007/s00253-019-09759-2

Source DB:  PubMed          Journal:  Appl Microbiol Biotechnol        ISSN: 0175-7598            Impact factor:   4.813


  7 in total

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Journal:  Microorganisms       Date:  2022-03-22

2.  Combined mass spectrometry-guided genome mining and virtual screening for acaricidal activity in secondary metabolites of Bacillus velezensis W1.

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Journal:  RSC Adv       Date:  2021-07-21       Impact factor: 4.036

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Journal:  Iran J Microbiol       Date:  2022-04

4.  Bacillibactins E and F from a Marine Sponge-Associated Bacillus sp.

Authors:  Qihao Wu; Kurt Throckmorton; Mitasree Maity; Marc G Chevrette; Doug R Braun; Scott R Rajski; Cameron R Currie; Michael G Thomas; Tim S Bugni
Journal:  J Nat Prod       Date:  2020-12-18       Impact factor: 4.050

5.  A taxonomically representative strain collection to explore xenobiotic and secondary metabolism in bacteria.

Authors:  Evanthia Kontomina; Vasiliki Garefalaki; Konstantina C Fylaktakidou; Dorothea Evmorfidou; Athina Eleftheraki; Marina Avramidou; Karen Udoh; Maria Panopoulou; Tamás Felföldi; Károly Márialigeti; Giannoulis Fakis; Sotiria Boukouvala
Journal:  PLoS One       Date:  2022-07-14       Impact factor: 3.752

6.  Screening of Tomato Seed Bacterial Endophytes for Antifungal Activity Reveals Lipopeptide Producing Bacillus siamensis Strain NKIT9 as a Potential Bio-Control Agent.

Authors:  Ayushi Sharma; Nutan Kaushik; Abhishek Sharma; Abhay Bajaj; Mandar Rasane; Yogesh S Shouche; Takwa Marzouk; Naceur Djébali
Journal:  Front Microbiol       Date:  2021-06-10       Impact factor: 5.640

7.  Genome mining and UHPLC-QTOF-MS/MS to identify the potential antimicrobial compounds and determine the specificity of biosynthetic gene clusters in Bacillus subtilis NCD-2.

Authors:  Zhenhe Su; Xiuye Chen; Xiaomeng Liu; Qinggang Guo; Shezeng Li; Xiuyun Lu; Xiaoyun Zhang; Peipei Wang; Lihong Dong; Weisong Zhao; Ping Ma
Journal:  BMC Genomics       Date:  2020-11-05       Impact factor: 3.969

  7 in total

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