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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

文献类型: 外文期刊

作者: Su, Zhenhe 1 ; Chen, Xiuye 1 ; Liu, Xiaomeng 1 ; Guo, Qinggang 1 ; Li, Shezeng 1 ; Lu, Xiuyun 1 ; Zhang, Xiaoyun 1 ; Wang 1 ;

作者机构: 1.Hebei Acad Agr & Forestry Sci, Inst Plant Protect, Minist Agr & Rural Affairs China, Integrated Pest Management Ctr Hebei Prov,Key Lab, 437 Dongguan St, Baoding City 071000, Hebei, Peoples R China

关键词: Bacillus subtilis NCD-2; Genome mining; UHPLC-QTOF-MS/MS; Secondary metabolites; Fengycin

期刊名称:BMC GENOMICS ( 影响因子:3.969; 五年影响因子:4.478 )

ISSN: 1471-2164

年卷期: 2020 年 21 卷 1 期

页码:

收录情况: SCI

摘要: Background: Bacillus subtilis strain NCD-2 is an excellent biocontrol agent against plant soil-borne diseases and shows broad-spectrum antifungal activities. This study aimed to explore some secondary metabolite biosynthetic gene clusters and related antimicrobial compounds in strain NCD-2. An integrative approach combining genome mining and structural identification technologies using ultra-high-performance liquid chromatography coupled to quadrupole time-of-flight tandem mass spectrometry (UHPLC-MS/MS), was adopted to interpret the chemical origins of metabolites with significant biological activities. Results: Genome mining revealed nine gene clusters encoding secondary metabolites with predicted functions, including fengycin, surfactin, bacillaene, subtilosin, bacillibactin, bacilysin and three unknown products. Fengycin, surfactin, bacillaene and bacillibactin were successfully detected from the fermentation broth of strain NCD-2 by UHPLC-QTOF-MS/MS. The biosynthetic gene clusters of bacillaene, subtilosin, bacillibactin, and bacilysin showed 100% amino acid sequence identities with those in B. velezensis strain FZB42, whereas the identities of the surfactin and fengycin gene clusters were only 83 and 92%, respectively. Further comparison revealed that strain NCD-2 had lost the fenC and fenD genes in the fengycin biosynthetic operon. The biosynthetic enzyme-related gene srfAB for surfactin was divided into two parts. Bioinformatics analysis suggested that FenE in strain NCD-2 had a similar function to FenE and FenC in strain FZB42, and that FenA in strain NCD-2 had a similar function to FenA and FenD in strain FZB42. Five different kinds of fengycins, with 26 homologs, and surfactin, with 4 homologs, were detected from strain NCD-2. To the best of our knowledge, this is the first report of a non-typical gene cluster related to fengycin synthesis. Conclusions: Our study revealed a number of gene clusters encoding antimicrobial compounds in the genome of strain NCD-2, including a fengycin synthetic gene cluster that might be unique by using genome mining and UHPLC-QTOF-MS/MS. The production of fengycin, surfactin, bacillaene and bacillibactin might explain the biological activities of strain NCD-2.

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