Cracking the regulatory code of biosynthetic gene clusters as a strategy for natural product discovery

Biochem Pharmacol. 2018 Jul:153:24-34. doi: 10.1016/j.bcp.2018.01.007. Epub 2018 Jan 5.

Abstract

The World Health Organization (WHO) describes antibiotic resistance as "one of the biggest threats to global health, food security, and development today", as the number of multi- and pan-resistant bacteria is rising dangerously. Acquired resistance phenomena also impair antifungals, antivirals, anti-cancer drug therapy, while herbicide resistance in weeds threatens the crop industry. On the positive side, it is likely that the chemical space of natural products goes far beyond what has currently been discovered. This idea is fueled by genome sequencing of microorganisms which unveiled numerous so-called cryptic biosynthetic gene clusters (BGCs), many of which are transcriptionally silent under laboratory culture conditions, and by the fact that most bacteria cannot yet be cultivated in the laboratory. However, brute force antibiotic discovery does not yield the same results as it did in the past, and researchers have had to develop creative strategies in order to unravel the hidden potential of microorganisms such as Streptomyces and other antibiotic-producing microorganisms. Identifying the cis elements and their corresponding transcription factors(s) involved in the control of BGCs through bioinformatic approaches is a promising strategy. Theoretically, we are a few 'clicks' away from unveiling the culturing conditions or genetic changes needed to activate the production of cryptic metabolites or increase the production yield of known compounds to make them economically viable. In this opinion article, we describe and illustrate the idea beyond 'cracking' the regulatory code for natural product discovery, by presenting a series of proofs of concept, and discuss what still should be achieved to increase the rate of success of this strategy.

Keywords: Actinobacteria; Antibiotics; Cryptic metabolite; Regulatory network; Streptomyces.

Publication types

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

MeSH terms

  • Animals
  • Anti-Bacterial Agents / chemical synthesis
  • Anti-Bacterial Agents / metabolism
  • Anti-Bacterial Agents / pharmacology
  • Biological Products / chemical synthesis
  • Biological Products / metabolism*
  • Biological Products / pharmacology
  • Computational Biology / methods*
  • Computational Biology / trends
  • Drug Discovery / methods*
  • Drug Discovery / trends
  • Humans
  • Metabolomics / methods
  • Metabolomics / trends
  • Multigene Family / drug effects
  • Multigene Family / physiology*

Substances

  • Anti-Bacterial Agents
  • Biological Products