Predicting metallophore structure and function through genome mining

Methods Enzymol. 2024:702:371-401. doi: 10.1016/bs.mie.2024.06.007. Epub 2024 Jul 20.

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.

Keywords: Bioinformatics; Biosynthetic gene clusters; Genome mining; Metallophores; Siderophores; antiSMASH.

MeSH terms

  • Computational Biology / methods
  • Data Mining / methods
  • Genome, Bacterial
  • Genomics* / methods
  • Siderophores / chemistry
  • Siderophores / genetics
  • Siderophores / metabolism

Substances

  • Siderophores