次生代谢
代谢组学
基因
基因组
次生代谢物
生物
计算生物学
代谢途径
编码
全基因组测序
拉伤
代谢网络
遗传学
生物信息学
生物合成
解剖
作者
Bo Dong,Fen Liu,Gang‐Ao Hu,Wenchao Yu,Ziyang Li,Yu-Liang Guan,Wenwen Zhang,Hong Wang,Bin Wei
标识
DOI:10.1093/jambio/lxaf114
摘要
Abstract Aims This study aimed to explore the secondary metabolic potential of Kutzneria viridogrisea DSM 43850 by conducting whole-genome sequencing and utilizing bioinformatics tools to analyze its biosynthetic gene clusters (BGCs). Additionally, the secondary metabolites produced by this strain were investigated under various chemical elicitors using untargeted metabolomics techniques. Methods and Results The complete genome of Kutzneria viridogrisea DSM 43850 was obtained by re-sequencing, followed by in-depth bioinformatics analysis to assess its secondary metabolic potential. The genome was found to encode a circular 10.2 Mb chromosome, with 4.3% of its functional genes involved in secondary metabolism. The strain harbors 52 BGCs, of which only four are associated with known products. Among these, eight gene clusters were identified as RiPPs (Ribosomally synthesized and post-translationally modified peptides), and the precursor peptide structures of four were predicted, all featuring novel scaffolds. Untargeted metabolomics analysis using LC-MS revealed that the strain could produce a series of novel secondary metabolites when induced with kanamycin and an ebselen derivative. Conclusions This study highlights the significant secondary metabolic potential of Kutzneria viridogrisea DSM 43850, uncovering several novel BGCs and metabolic products.
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