title: Assessing the optimal virulence of malaria-targeting mosquito pathogens: a mathematical study of engineered Metarhizium anisopliae.
abstract: BACKGROUND
  Metarhizium anisopliae is a naturally occurring fungal pathogen of mosquitoes. Recently, Metarhizium has been engineered to act against malaria by directly killing the disease agent within mosquito vectors and also effectively blocking onward transmission. It has been proposed that efforts should be made to minimize the virulence of the fungal pathogen, in order to slow the development of resistant mosquitoes following an actual deployment.
  
  
  RESULTS
  Two mathematical models were developed and analysed to examine the efficacy of the fungal pathogen. It was found that, in many plausible scenarios, the best effects are achieved with a reduced or minimal pathogen virulence, even if the likelihood of resistance to the fungus is negligible. The results for both models depend on the interplay between two main effects: the ability of the fungus to reduce the mosquito population, and the ability of fungus-infected mosquitoes to compete for resources with non-fungus-infected mosquitoes.
  
  
  CONCLUSIONS
  The results indicate that there is no obvious choice of virulence for engineered Metarhizium or similar pathogens, and that all available information regarding the population ecology of the combined mosquito-fungus system should be carefully considered. The models provide a basic framework for examination of anti-malarial mosquito pathogens that should be extended and improved as new laboratory and field data become available.
authors.forename: Bernhard P
authors.initials: BP
authors.lastname: Konrad
authors.forename: Michael
authors.initials: M
authors.lastname: Lindstrom
authors.forename: Anja
authors.initials: A
authors.lastname: Gumpinger
authors.forename: Jielin
authors.initials: J
authors.lastname: Zhu
authors.affiliation: Institute of Applied Mathematics and Department of Mathematics, University of British Columbia, 1984 Mathematics Road, Vancouver, BC, V6T 1Z2, Canada. coombs@math.ubc.ca.
authors.forename: Daniel
authors.initials: D
authors.lastname: Coombs
mesh_terms: D000818:Animals; D000852:Anopheles / Q000382:microbiology*; D007814:Larva / Q000382:microbiology; D008288:Malaria / Q000469:parasitology / Q000517:prevention & control*; D052981:Metarhizium / Q000472:pathogenicity*; D008954:Models, Biological; D009032:Mosquito Control / Q000379:methods*; D014774:Virulence