2007
DOI: 10.1073/pnas.0610685104
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Analyzing the control of mosquito-borne diseases by a dominant lethal genetic system

Abstract: Motivated by the failure of current methods to control dengue fever, we formulate a mathematical model to assess the impact on the spread of a mosquito-borne viral disease of a strategy that releases adult male insects homozygous for a dominant, repressible, lethal genetic trait. A dynamic model for the female adult mosquito population, which incorporates the competition for female mating between released mosquitoes and wild mosquitoes, density-dependent competition during the larval stage, and realization of … Show more

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Cited by 121 publications
(123 citation statements)
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References 29 publications
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“…Chemical control is increasingly restricted due to potential human toxicity, mortality in nontarget organisms, insecticide resistance, and other environmental impacts (7)(8)(9). Release of insects carrying a dominant lethal (RIDL) is a genetic control strategy derived from classical sterile insect technique (SIT) that provides a new solution to the challenges facing current control efforts (10)(11)(12)(13)(14).…”
mentioning
confidence: 99%
“…Chemical control is increasingly restricted due to potential human toxicity, mortality in nontarget organisms, insecticide resistance, and other environmental impacts (7)(8)(9). Release of insects carrying a dominant lethal (RIDL) is a genetic control strategy derived from classical sterile insect technique (SIT) that provides a new solution to the challenges facing current control efforts (10)(11)(12)(13)(14).…”
mentioning
confidence: 99%
“…A system based on a lethal gene [release of insects carrying a dominant lethal (RIDL); (14)] that acts late in development would prevent mosquitoes from becoming adults, the only harmful life stage, yet enable them to survive and compete at the larval stage, when density-dependent competition occurs (17). Modeling this system predicts that fewer male mosquitoes of a late-lethal strain need to be released as compared to those carrying an early-lethal gene or irradiated strain to achieve an equivalent level of control of a target population (12,18). We reported previously the construction of repressible lethal strains of insects using the "tet-off" gene expression system based on a synthetic tetracycline-repressible transactivator (tTA) (12,14,16,19,20).…”
mentioning
confidence: 99%
“…For example, modelling the effects of larval competition and exploring late‐acting lethal phenotypes in mosquitoes predicted that this could be substantially more effective at population control than an early‐acting (e.g. embryonic) lethality or radiation‐induced sterility (Atkinson et al ., 2007; Phuc et al ., 2007; Alphey & Bonsall, 2014a). Indeed, if density‐dependent juvenile competition were over‐compensatory, genetic lethality that occurred at an earlier stage, thereby freeing survivors from regulation by intense competition, could push adult insect numbers higher than in the natural uncontrolled population (Yakob et al ., 2008; Alphey & Bonsall, 2014a).…”
Section: Agricultural Pest Management: Mathematical Modellingmentioning
confidence: 99%
“…Indeed, if density‐dependent juvenile competition were over‐compensatory, genetic lethality that occurred at an earlier stage, thereby freeing survivors from regulation by intense competition, could push adult insect numbers higher than in the natural uncontrolled population (Yakob et al ., 2008; Alphey & Bonsall, 2014a). This multidisciplinary approach can be broad; population dynamic models incorporating density‐dependent competition were combined with epidemiological models to investigate the potential effect of releases on a mosquito‐borne disease in a human population (Atkinson et al ., 2007; Alphey et al ., 2011a) and linked with bio‐economic and health economic models to estimate the potential cost‐effectiveness of this novel vector control (Alphey et al ., 2011a). Similar multicomponent modelling approaches could be applied to plant pests, to explore potential for cost‐effective population control to limit crop yield losses.…”
Section: Agricultural Pest Management: Mathematical Modellingmentioning
confidence: 99%
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