A network approach to modeling population aggregation and genetic control of pest insects

Yakob, Laith; Kiss, István Z.; Bonsall, Michael B.

doi:10.1016/j.tpb.2008.09.003

Cited by 11 publications

(10 citation statements)

References 38 publications

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“…In more heterogeneous environments (e.g. Tapachula, Mexico [53], [54]), however, spatially homogeneous mosquito releases could result in heterogeneous ratios of transgenic to local mosquitoes among houses [55]. We model situations where we artificially increased the variation in pupal productivity among houses by transforming each house into either a high-producing house (with probability 1/ Φ , where Φ ≥2) or into a low-producing house (with probability 1−1/ Φ ).…”

Section: Methodsmentioning

confidence: 99%

Assessing the Feasibility of Controlling Aedes aegypti with Transgenic Methods: A Model-Based Evaluation

Legros

Okamoto

et al. 2012

PLoS ONE

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Suppression of dengue and malaria through releases of genetically engineered mosquitoes might soon become feasible. Aedes aegypti mosquitoes carrying a conditionally lethal transgene have recently been used to suppress local vector populations in small-scale field releases. Prior to releases of transgenic insects on a wider scale, however, most regulatory authorities will require additional evidence that suppression will be effective in natural heterogeneous habitats. We use a spatially explicit stochastic model of an Ae. aegypti population in Iquitos, Peru, along with an uncertainty analysis of its predictions, to quantitatively assess the outcome of varied operational approaches for releases of transgenic strains with conditional death of females. We show that population elimination might be an unrealistic objective in heterogeneous populations. We demonstrate that substantial suppression can nonetheless be achieved if releases are deployed in a uniform spatial pattern using strains combining multiple lethal elements, illustrating the importance of detailed spatial models for guiding genetic mosquito control strategies.

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Section: Methodsmentioning

confidence: 99%

Assessing the Feasibility of Controlling Aedes aegypti with Transgenic Methods: A Model-Based Evaluation

Legros

Okamoto

et al. 2012

PLoS ONE

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“…We know, however, that spatial structure has the potential to be a major factor determining the efficacy of GE-SIT and other genetic control methods. Yakob et al (2008) used a network approach to model the effect of spatial population clustering on the efficacy of GE-SIT control, finding that more highly clustered insect populations were easier to suppress. This was because once a local cluster was eliminated it could not easily be repopulated due to its isolation (Yakob et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

“…Yakob et al (2008) used a network approach to model the effect of spatial population clustering on the efficacy of GE-SIT control, finding that more highly clustered insect populations were easier to suppress. This was because once a local cluster was eliminated it could not easily be repopulated due to its isolation (Yakob et al, 2008). Another genetic insect control method, using a synthetic homing endonuclease gene (HEG), was modelled by North et al (2013) in an individual based simulation, revealing that control could fail if mosquito resources, and therefore local mosquito populations, were too isolated.…”

Section: Introductionmentioning

confidence: 99%

Resistance to genetic insect control: Modelling the effects of space

Watkinson-Powell

Alphey

2017

Journal of Theoretical Biology

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Genetic insect control, such as self-limiting RIDL2 (Release of Insects Carrying a Dominant Lethal) technology, is a development of the sterile insect technique which is proposed to suppress wild populations of a number of major agricultural and public health insect pests. This is achieved by mass rearing and releasing male insects that are homozygous for a repressible dominant lethal genetic construct, which causes death in progeny when inherited. The released genetically engineered (‘GE’) insects compete for mates with wild individuals, resulting in population suppression. A previous study modelled the evolution of a hypothetical resistance to the lethal construct using a frequency-dependent population genetic and population dynamic approach. This found that proliferation of resistance is possible but can be diluted by the introgression of susceptible alleles from the released homozygous-susceptible GE males. We develop this approach within a spatial context by modelling the spread of a lethal construct and resistance trait, and the effect on population control, in a two deme metapopulation, with GE release in one deme. Results show that spatial effects can drive an increased or decreased evolution of resistance in both the target and non-target demes, depending on the effectiveness and associated costs of the resistant trait, and on the rate of dispersal. A recurrent theme is the potential for the non-target deme to act as a source of resistant or susceptible alleles for the target deme through dispersal. This can in turn have a major impact on the effectiveness of insect population control.

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“…In addition to age structure, the spatial structure of a population can impact the spread of a transgene (Barton 1979; Schofield 2002; Rasgon 2003; Soboleva et al. 2003; Yakob et al. 2008a,b; Yakob and Bonsall 2009).…”

Section: Introductionmentioning

confidence: 99%

Gene‐drive into insect populations with age and spatial structure: a theoretical assessment

Huang

Lloyd

Legros

et al. 2010

Evolutionary Applications

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The potential benefits and risks of genetically engineered gene-drive systems for replacing wild pest strains with more benign strains must be assessed prior to any field releases. We develop a computer simulation model to assess the feasibility of using engineered underdominance constructs to drive transgenes into age- and spatially structured mosquito populations. Our practical criterion for success is the achievement of a transgene frequency of at least 0.80 within 3 years of release. The impacts of a number of parameters that may affect the success of gene-drive, such as the release area, release age, density-dependent larval survival, fitness cost of the engineered genes, and migration probability of adults, are examined. Results show that patchy release generally requires the release of fewer engineered insects to achieve success than central release. When the fitness cost is very low, central release covering 25% of the total area can be more effective than a completely uniform release over the whole area. This study demonstrates that to determine the best method of spatial release, and the total number of engineered insects that must be released, it is important to take into account the age and sex of the released insects and spatial structure of the population.

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A network approach to modeling population aggregation and genetic control of pest insects

Cited by 11 publications

References 38 publications

Assessing the Feasibility of Controlling Aedes aegypti with Transgenic Methods: A Model-Based Evaluation

Assessing the Feasibility of Controlling Aedes aegypti with Transgenic Methods: A Model-Based Evaluation

Resistance to genetic insect control: Modelling the effects of space

Gene‐drive into insect populations with age and spatial structure: a theoretical assessment

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