title: Release of genetically engineered insects: a framework to identify potential ecological effects.
abstract: Genetically engineered (GE) insects have the potential to radically change pest management worldwide. With recent approvals of GE insect releases, there is a need for a synthesized framework to evaluate their potential ecological and evolutionary effects. The effects may occur in two phases: a transitory phase when the focal population changes in density, and a steady state phase when it reaches a new, constant density. We review potential effects of a rapid change in insect density related to population outbreaks, biological control, invasive species, and other GE organisms to identify a comprehensive list of potential ecological and evolutionary effects of GE insect releases. We apply this framework to the Anopheles gambiae mosquito - a malaria vector being engineered to suppress the wild mosquito population - to identify effects that may occur during the transitory and steady state phases after release. Our methodology reveals many potential effects in each phase, perhaps most notably those dealing with immunity in the transitory phase, and with pathogen and vector evolution in the steady state phase. Importantly, this framework identifies knowledge gaps in mosquito ecology. Identifying effects in the transitory and steady state phases allows more rigorous identification of the potential ecological effects of GE insect release.
authors.affiliation: Department of Ecology, Evolution, and Behavior, University of Minnesota St. Paul, Minnesota, 55108, USA.
authors.forename: Aaron S
authors.initials: AS
authors.lastname: David
authors.forename: Joe M
authors.initials: JM
authors.lastname: Kaser
authors.forename: Amy C
authors.initials: AC
authors.lastname: Morey
authors.forename: Alexander M
authors.initials: AM
authors.lastname: Roth
authors.forename: David A
authors.initials: DA
authors.lastname: Andow
keywords: Anopheles gambiae; genetically modified organisms; homing endonuclease genes; malaria; population dynamics; problem formulation; risk assessment