Veilumuthu Pattapulavar, Sathiyabama Ramanujam, Sanjivkumar Muthusamy, Shweta Panchal, John Godwin Christopher
{"title":"番茄内生真菌链霉菌(Streptomyces sp. VITGV100)代谢产物及吲哚化合物的提取","authors":"Veilumuthu Pattapulavar, Sathiyabama Ramanujam, Sanjivkumar Muthusamy, Shweta Panchal, John Godwin Christopher","doi":"10.21769/BioProtoc.5386","DOIUrl":null,"url":null,"abstract":"<p><p>Endophytic actinomycetes, particularly <i>Streptomyces</i> species, have gained significant attention due to their potential to produce novel bioactive compounds. In this study, we isolated and characterized an endophytic <i>Streptomyces</i> sp. VITGV100 from the tomato plant (<i>Lycopersicon esculentum</i>), employing the direct streak method and whole-genome sequencing. A genome analysis was done to uncover its biosynthetic potential and identify indole-type compounds. The strain's secondary metabolite production was evaluated through GC-MS analysis, and its antimicrobial activity was tested against selected human pathogenic bacteria. Our protocol outlines a comprehensive approach, describing the isolation and extraction of metabolites and genome mining for indole-type compounds. This isolate has potential pharmaceutical applications, accelerating the discovery of novel indole-type bioactive compounds. Key features • A systematic approach for isolating <i>Streptomyces</i> sp. VITGV100 from <i>Lycopersicon esculentum</i>, including surface sterilization and selective culturing on ISP2 medium. • Whole-genome sequencing and annotation: High-throughput Illumina sequencing followed by genome assembly, annotation, and functional characterization to explore biosynthetic potential and metabolic pathways. • Secondary metabolite profiling and bioactivity screening: GC-MS-based identification of bioactive metabolites, followed by antibacterial activity assessment against human pathogens using well-diffusion assays. • Identification of biosynthetic gene clusters (BGCs) using antiSMASH 6.0.</p>","PeriodicalId":93907,"journal":{"name":"Bio-protocol","volume":"15 14","pages":"e5386"},"PeriodicalIF":1.1000,"publicationDate":"2025-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12304452/pdf/","citationCount":"0","resultStr":"{\"title\":\"Metabolite Production and Extraction of Indole Compound From the Tomato Endophyte <i>Streptomyces</i> sp. 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Our protocol outlines a comprehensive approach, describing the isolation and extraction of metabolites and genome mining for indole-type compounds. This isolate has potential pharmaceutical applications, accelerating the discovery of novel indole-type bioactive compounds. Key features • A systematic approach for isolating <i>Streptomyces</i> sp. VITGV100 from <i>Lycopersicon esculentum</i>, including surface sterilization and selective culturing on ISP2 medium. • Whole-genome sequencing and annotation: High-throughput Illumina sequencing followed by genome assembly, annotation, and functional characterization to explore biosynthetic potential and metabolic pathways. • Secondary metabolite profiling and bioactivity screening: GC-MS-based identification of bioactive metabolites, followed by antibacterial activity assessment against human pathogens using well-diffusion assays. • Identification of biosynthetic gene clusters (BGCs) using antiSMASH 6.0.</p>\",\"PeriodicalId\":93907,\"journal\":{\"name\":\"Bio-protocol\",\"volume\":\"15 14\",\"pages\":\"e5386\"},\"PeriodicalIF\":1.1000,\"publicationDate\":\"2025-07-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12304452/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Bio-protocol\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.21769/BioProtoc.5386\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bio-protocol","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21769/BioProtoc.5386","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOLOGY","Score":null,"Total":0}
Metabolite Production and Extraction of Indole Compound From the Tomato Endophyte Streptomyces sp. VITGV100.
Endophytic actinomycetes, particularly Streptomyces species, have gained significant attention due to their potential to produce novel bioactive compounds. In this study, we isolated and characterized an endophytic Streptomyces sp. VITGV100 from the tomato plant (Lycopersicon esculentum), employing the direct streak method and whole-genome sequencing. A genome analysis was done to uncover its biosynthetic potential and identify indole-type compounds. The strain's secondary metabolite production was evaluated through GC-MS analysis, and its antimicrobial activity was tested against selected human pathogenic bacteria. Our protocol outlines a comprehensive approach, describing the isolation and extraction of metabolites and genome mining for indole-type compounds. This isolate has potential pharmaceutical applications, accelerating the discovery of novel indole-type bioactive compounds. Key features • A systematic approach for isolating Streptomyces sp. VITGV100 from Lycopersicon esculentum, including surface sterilization and selective culturing on ISP2 medium. • Whole-genome sequencing and annotation: High-throughput Illumina sequencing followed by genome assembly, annotation, and functional characterization to explore biosynthetic potential and metabolic pathways. • Secondary metabolite profiling and bioactivity screening: GC-MS-based identification of bioactive metabolites, followed by antibacterial activity assessment against human pathogens using well-diffusion assays. • Identification of biosynthetic gene clusters (BGCs) using antiSMASH 6.0.