From genomics to metabolomics, moving toward an integrated strategy for the discovery of fungal secondary metabolites

Nat Prod Rep. 2018 Feb 21;35(2):147-173. doi: 10.1039/c7np00032d.

Abstract

Fungal secondary metabolites are defined by bioactive properties that ensure adaptation of the fungus to its environment. Although some of these natural products are promising sources of new lead compounds especially for the pharmaceutical industry, others pose risks to human and animal health. The identification of secondary metabolites is critical to assessing both the utility and risks of these compounds. Since fungi present biological specificities different from other microorganisms, this review covers the different strategies specifically used in fungal studies to perform this critical identification. Strategies focused on the direct detection of the secondary metabolites are firstly reported. Particularly, advances in high-throughput untargeted metabolomics have led to the generation of large datasets whose exploitation and interpretation generally require bioinformatics tools. Then, the genome-based methods used to study the entire fungal metabolic potential are reported. Transcriptomic and proteomic tools used in the discovery of fungal secondary metabolites are presented as links between genomic methods and metabolomic experiments. Finally, the influence of the culture environment on the synthesis of secondary metabolites by fungi is highlighted as a major factor to consider in research on fungal secondary metabolites. Through this review, we seek to emphasize that the discovery of natural products should integrate all of these valuable tools. Attention is also drawn to emerging technologies that will certainly revolutionize fungal research and to the use of computational tools that are necessary but whose results should be interpreted carefully.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Biological Products / isolation & purification
  • Biological Products / metabolism*
  • Computer Simulation
  • Data Mining / methods
  • Drug Discovery
  • Fungi / genetics
  • Fungi / metabolism*
  • Gene Knockout Techniques
  • Genome, Fungal
  • Genomics / methods*
  • Isotope Labeling
  • Metabolomics / methods*
  • Multigene Family
  • Proteomics / methods
  • Secondary Metabolism

Substances

  • Biological Products