Departamento de Botânica, Instituto de Biociências, Universidade de São Paulo, São Paulo, São Paulo, Brazil.
Departamento de Farmacologia, Instituto de Ciências Biomédicas, Universidade de São Paulo, São Paulo, São Paulo, Brazil.
PLoS One. 2020 Dec 21;15(12):e0244385. doi: 10.1371/journal.pone.0244385. eCollection 2020.
Resorting to a One Strain Many Compounds (OSMAC) approach, the marine Streptomyces sp. BRB081 strain was grown in six different media settings over 1, 2, 3 or 7 days. Extractions of mycelium and broth were conducted separately for each media and cultivation period by sonication using methanol/acetone 1:1 and agitation with ethyl acetate, respectively. All methanol/acetone and ethyl acetate crude extracts were analysed by HPLC-MS/MS and data treatment was performed through GNPS platform using MZmine 2 software. In parallel, the genome was sequenced, assembled and mined to search for biosynthetic gene clusters (BGC) of secondary metabolites using the AntiSMASH 5.0 software. Spectral library search tool allowed the annotation of desferrioxamines, fatty acid amides, diketopiperazines, xanthurenic acid and, remarkably, the cyclic octapeptides surugamides. Molecular network analysis allowed the observation of the surugamides cluster, where surugamide A and the protonated molecule corresponding to the B-E isomers, as well as two potentially new analogues, were detected. Data treatment through MZmine 2 software allowed to distinguish that the largest amount of surugamides was obtained by cultivating BRB081 in SCB medium during 7 days and extraction of culture broth. Using the same data treatment, a chemical barcode was created for easy visualization and comparison of the metabolites produced overtime in all media. By genome mining of BRB081 four regions of biosynthetic gene clusters of secondary metabolites were detected supporting the metabolic data. Cytotoxic evaluation of all crude extracts using MTT assay revealed the highest bioactivity was also observed for extracts obtained in the optimal conditions as those for surugamides production, suggesting these to be the main active compounds herein. This method allowed the identification of compounds in the crude extracts and guided the selection of best conditions for production of bioactive compounds.
采用一种单种多产物(OSMAC)方法,海洋链霉菌 BRB081 菌株在六种不同的培养基中分别培养 1、2、3 或 7 天。分别通过超声处理用甲醇/丙酮 1:1 和搅拌用乙酸乙酯对每种培养基和培养期的菌丝体和肉汤提取物进行提取。所有甲醇/丙酮和乙酸乙酯粗提物均通过 HPLC-MS/MS 进行分析,并通过 GNPS 平台使用 MZmine 2 软件进行数据处理。同时,对基因组进行测序、组装和挖掘,以使用 AntiSMASH 5.0 软件搜索次级代谢物生物合成基因簇(BGC)。光谱库搜索工具允许对去铁胺、脂肪酸酰胺、二酮哌嗪、黄嘌呤酸进行注释,值得注意的是,环状八肽 surugamides 也被注释。分子网络分析允许观察 surugamides 簇,检测到 surugamide A 和 B-E 异构体的质子化分子,以及两种潜在的新类似物。通过 MZmine 2 软件的数据处理,我们可以区分出,在 SCB 培养基中培养 BRB081 7 天并提取培养物,可获得最多的 surugamides。使用相同的数据处理,创建了一个化学条码,用于轻松可视化和比较所有培养基中随时间产生的代谢产物。通过对 BRB081 基因组的挖掘,检测到四个次级代谢物生物合成基因簇的区域,这支持了代谢数据。使用 MTT 测定法对所有粗提物进行细胞毒性评估,结果显示,在最佳条件下获得的粗提物也表现出最高的生物活性,这表明这些是本研究中的主要活性化合物。该方法可用于鉴定粗提物中的化合物,并指导选择最佳条件以生产生物活性化合物。