Algorithm-Based Design of Synthetic Growth Media Stimulating Virulence Properties of Metarhizium Anisopliae Conidia

Stefan Hutwimmer, Stefan Wagner, Michael Affenzeller, Wolfgang Burgstaller, Hermann Strasser

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

Aims: Synthetic media should be designed for the production of Metarhizium anisopliae conidia with improved virulence properties. Methods and Results: A genetic algorithm (GA), demonstrated to be suitable for the design of media for spore mass production (Hutwimmer et al. 2008), was utilized for a multi-objective medium design to improve conidia yield and three proposed virulence properties of conidia: C : N ratio, germination speed and amount of spore-bound Pr1 protease. After five iterative optimizations, 52 media were improved over Sabouraud dextrose agar (SDA). Four media exhibited medium performances (a factor derived from the four single optimization variables) of around 0.7; cf. SDA = 0.532; media with enhanced properties were reached for each single optimization variable; Bioassays against Tenebrio larvae indicated also a slight improvement in virulence of conidia from designed media. A degenerated phenotype of the same strain did not exhibit differences in colony appearance, spore characteristics and virulence if grown on designed media. Conclusions: The application of a problem-oriented GA is a practical and rapid method to design media for multi-objective purposes. Significance and Impact of the Study: The applicability of a GA for multiobjective medium design was demonstrated for the cultivation of anamorphic fungi on solid media.
Original languageEnglish
Pages (from-to)2026-2034
Number of pages9
JournalJournal of Applied Microbiology
Volume105
Issue number6
DOIs
Publication statusPublished - Dec 2008

Keywords

  • Genetic Algorithm
  • Metarhizium Anisopliae
  • Multi-Objective Medium Design
  • Virulence
  • Genetic algorithm
  • Metarhizium anisopliae
  • Multi-objective medium design

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