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Springer Protocols Handbook
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SYSNO ASEP 0564412 Document Type M - Monograph Chapter R&D Document Type Monograph Chapter Title Biosynthetic Gene Cluster Analysis in Actinobacterial Genus Streptomyces Author(s) Macho, Markéta (MBU-M) ORCID
Ewe, Daniela (MBU-M) ORCID
Ahuja, V. (IN)
Thabet, Jihen (MBU-M)
Banerjee, Avik (MBU-M)
Saurav, Kumar (MBU-M) ORCID
Saha, Subhasish (MBU-M) ORCIDSource Title Springer Protocols Handbook, Methods in Actinobacteriology. - New York : Human New York, NY, 2022 / Dharumadurai Dhanasekaran - ISBN 978-1-0716-1727-4 Pages s. 247-262 Number of pages 16 s. Number of pages 747 Publication form Print - P Language eng - English Country US - United States Keywords Genome mining ; antiSMASH ; Biosynthetic gene clusters ; Secondary metabolites ; Streptomyces Subject RIV EE - Microbiology, Virology OECD category Microbiology Institutional support MBU-M - RVO:61388971 Annotation Secondary metabolites offer a wide variety of biologically active compounds with great potential in medicine, agriculture, or livestock. With the advance of computational techniques and genome sequencing availability, laborious screening of microbial products can be replaced by more efficient genome mining using extensive genome databases available online. Rapidly developing bioinformatic tools, such as antiSMASH, enable researches to effectively explore the genome of many organisms including plants, fungi, and bacteria and identify biosynthetic gene clusters potentially encoding novel bioactive compounds. In this chapter, we provide a step-by-step guide of using the antiSMASH online tool to identify gene clusters potentially encoding for secondary metabolites in the genome of the model strain Streptomyces griseus NBRC 13350. Workplace Institute of Microbiology Contact Eliška Spurná, eliska.spurna@biomed.cas.cz, Tel.: 241 062 231 Year of Publishing 2023 Electronic address https://link.springer.com/protocol/10.1007/978-1-0716-1728-1_33
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