Algorithm-based design of novel synthetic media for Metarhizium anisopliae simulating its nutritional conditions in the environment.
J Appl Microbiol
; 105(2): 459-68, 2008 Aug.
Article
in En
| MEDLINE
| ID: mdl-18298524
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 ANDRESULTS:
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.
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Soil Microbiology
/
Algorithms
/
Metarhizium
/
Models, Genetic
/
Mycology
Type of study:
Prognostic_studies
Language:
En
Journal:
J Appl Microbiol
Journal subject:
MICROBIOLOGIA
Year:
2008
Document type:
Article
Affiliation country:
Austria