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Predicting metallophore structure and function through genome mining.
Reitz, Zachary L.
Afiliação
  • Reitz ZL; Department of Ecology, Evolution and Marine Biology, University of California, Santa Barbara, CA, United States. Electronic address: zlreitz@gmail.com.
Methods Enzymol ; 702: 371-401, 2024.
Article em En | MEDLINE | ID: mdl-39155119
ABSTRACT
Metallophores are small molecule chelators that many microbes use to obtain trace metals from their environment. Through genome mining, where genomes are scanned for metallophore biosynthesis genes, one can not only identify which organisms are likely to produce a metallophore, but also predict the metallophore structure, thus preventing undesired reisolation of known compounds and accelerating characterization. Furthermore, the presence of accessory genes for the transport, utilization, and regulation can suggest the biological function and fate of a metallophore. Modern, user-friendly tools have made powerful genomic analyses accessible to scientists with no bioinformatics experience, but these tools are often not utilized to their full potential. This chapter provides an introduction to metallophore genomics and demonstrates how to use the free, publicly available antiSMASH platform to infer metallophore function and structure.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Genômica Idioma: En Revista: Methods Enzymol Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Genômica Idioma: En Revista: Methods Enzymol Ano de publicação: 2024 Tipo de documento: Article