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Targeted genome mining for microbial antitumor agents acting through DNA intercalation
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作者 Zhijie Zhao Guiyun Zhao +7 位作者 Yi Chai Wei Li Kaihui Song Wenbin Zhao Hairong Li Miaolian Wu Zhan Zhou Yi-Ling Du 《Synthetic and Systems Biotechnology》 SCIE CSCD 2023年第3期520-526,共7页
Microbial natural products have been one of the most important sources for drug development.In the current postgenomic era,sequence-driven approaches for natural product discovery are becoming increasingly popular.Her... Microbial natural products have been one of the most important sources for drug development.In the current postgenomic era,sequence-driven approaches for natural product discovery are becoming increasingly popular.Here,we develop an effective genome mining strategy for the targeted discovery of microbial metabolites with antitumor activities.Our method employs uvrA-like genes as genetic markers,which have been identified in the biosynthetic gene clusters(BGCs)of several chemotherapeutic drugs of microbial origin and confer self-resistance to the corresponding producers.Through systematic genomic analysis of gifted actinobacteria genera,identification of uvrA-like gene-containing BGCs,and targeted isolation of products from a BGC prioritized for metabolic analysis,we identified a new tetracycline-type DNA intercalator timmycins.Our results thus provide a new genome mining strategy for the efficient discovery of antitumor agents acting through DNA intercalation. 展开更多
关键词 Genome mining microbial natural product DNA intercalator UvrA-like protein Biosynthetic gene clusters TETRACYCLINE
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