Springer Protocols Handbook

0564412 - MBÚ 2023 RIV US eng M - Monography Chapter
Macho, Markéta - Ewe, Daniela - Ahuja, V. - Thabet, Jihen - Banerjee, Avik - Saurav, Kumar - Saha, Subhasish
Biosynthetic Gene Cluster Analysis in Actinobacterial Genus Streptomyces.
Springer Protocols Handbook. New York: Human New York, NY, 2022 - (Dharumadurai, D.), s. 247-262. ISBN 978-1-0716-1727-4
Institutional support: RVO:61388971
Keywords : Genome mining * antiSMASH * Biosynthetic gene clusters * Secondary metabolites * Streptomyces
OECD category: Microbiology
https://link.springer.com/protocol/10.1007/978-1-0716-1728-1_33

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.
Permanent Link: https://hdl.handle.net/11104/0336089