Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China.
Griffith Institute for Drug Discovery, Griffith University, Brisbane, QLD, 4111, Australia.
Appl Microbiol Biotechnol. 2019 Jul;103(13):5167-5181. doi: 10.1007/s00253-019-09821-z. Epub 2019 Apr 19.
Halogen substituents are important for biological activity in many compounds. Genome-based mining of halogenase along with its biosynthetic gene cluster provided an efficient approach for the discovery of naturally occurring organohalogen compounds. Analysis of the genome sequence of a phytopathogenic fungus Bipolaris sorokiniana 11134 revealed a polyketide gene cluster adjacent to a flavin-dependent halogenase capable of encoding halogenated polyketides, which are rarely reported in phytopathogenic fungi. Furthermore, MS- and UV-guided isolation and purification led to the identification of five chlorine-containing natural products together with seven other chromones and xanthones. Two of the chlorinated compounds and four chromones are new compounds. Their structures were elucidated by NMR spectroscopic analysis and HRESIMS data. The biosynthetic gene clusters of isolated compounds and their putative biosynthetic pathway are also proposed. One new chlorinated compound showed activity against Staphylococcus aureus, methicillin-resistant S. aureus, and three clinical-resistant S. aureus strains with a shared minimum inhibitory concentration (MIC) of 12.5 μg/mL. Genome-based mining of halogenases combined with high-resolution MS- and UV-guided identification provides an efficient approach to discover new halogenated natural products from microorganisms.
卤素取代基对许多化合物的生物活性很重要。基于基因组的卤化酶及其生物合成基因簇的挖掘为发现天然存在的有机卤化合物提供了一种有效的方法。对植物病原菌双极镰刀菌 11134 的基因组序列分析表明,在黄素依赖的卤化酶附近存在一个聚酮基因簇,该酶能够编码卤代聚酮,这在植物病原菌中很少报道。此外,MS 和 UV 引导的分离和纯化导致了五种含氯天然产物以及另外七种色酮和酮的鉴定。其中两种氯化化合物和四种色酮是新化合物。它们的结构通过 NMR 光谱分析和 HRESIMS 数据阐明。还提出了分离化合物的生物合成基因簇及其可能的生物合成途径。一种新的氯化化合物对金黄色葡萄球菌、耐甲氧西林金黄色葡萄球菌和三种临床耐药金黄色葡萄球菌具有活性,其最小抑菌浓度 (MIC) 均为 12.5μg/mL。基于基因组的卤化酶挖掘结合高分辨率 MS 和 UV 引导鉴定为从微生物中发现新的卤化天然产物提供了一种有效的方法。