Algorithm-based design of novel synthetic media for Metarhizium anisopliae simulating its nutritional conditions in the environment

J Appl Microbiol. 2008 Aug;105(2):459-68. doi: 10.1111/j.1365-2672.2008.03764.x. Epub 2008 Feb 19.

Abstract

Aims: The objective of this study was to develop a novel synthetic growth medium for increased conidium production of the entompathogenic fungus Metarhizium anisopliae. The medium should simulate natural nutritional conditions.

Methods and results: Macro- and micronutrients were selected in concentrations found in insects or from sources which are believed to be advantageous for virulence. Medium development was guided by a problem-oriented genetic algorithm (GA) implemented with 'mutation' and 'recombination' operators specific for this optimization problem. Following five optimization steps and a total of 181 medium variations, 19 synthetic media led to increased conidium production as compared with the standard Sabouraud dextrose agar medium: increases in conidia yields of up to 120% and a 17-fold higher conidium production per square centimetre of mycelium were achieved. Rapid germination of conidia, conidial C : N ratio, as well as spore-bound Pr1 protease production were monitored as proposed quality control markers for a virulent inoculum.

Conclusions: It was demonstrated that our problem-oriented GA is a powerful tool for the design of chemically defined cultivation media with special/enhanced properties for anamorphic fungi.

Significance and impact of the study: This is the first study, which demonstrates the advantage of the use of a GA for the rapid design of solid synthetic media for maximum production of virulent conidia.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms*
  • Culture Media
  • Food
  • Metarhizium / growth & development*
  • Models, Genetic*
  • Mycology / methods*
  • Soil Microbiology*

Substances

  • Culture Media