Computer Simulation on Disease Vector Population Replacement Driven by the Maternal Effect Dominant Embryonic Arrest

Guevara-Souza, Mauricio; Vallejo, Edgar E.

doi:10.1007/978-1-4419-7046-6_34

Cited by 6 publications

(4 citation statements)

References 14 publications

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“…In the past, we tested other population modification alternatives using computer simulations. In our experiments, Wolbachia infection was proved to be superior in terms of the percentage of infected mosquitoes needed for Wolbachia to invade the native population [ 13 , 15 ].…”

Section: Resultsmentioning

confidence: 99%

A computer simulation model of Wolbachia invasion for disease vector population modification

Guevara-Souza

Vallejo

2015

BMC Bioinformatics

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BackgroundWolbachia invasion has been proved to be a promising alternative for controlling vector-borne diseases, particularly Dengue fever. Creating computer models that can provide insight into how vector population modification can be achieved under different conditions would be most valuable for assessing the efficacy of control strategies for this disease.MethodsIn this paper, we present a computer model that simulates the behavior of native mosquito populations after the introduction of mosquitoes infected with the Wolbachia bacteria. We studied how different factors such as fecundity, fitness cost of infection, migration rates, number of populations, population size, and number of introduced infected mosquitoes affect the spread of the Wolbachia bacteria among native mosquito populations.ResultsTwo main scenarios of the island model are presented in this paper, with infected mosquitoes introduced into the largest source population and peripheral populations. Overall, the results are promising; Wolbachia infection spreads among native populations and the computer model is capable of reproducing the results obtained by mathematical models and field experiments.ConclusionsComputer models can be very useful for gaining insight into how Wolbachia invasion works and are a promising alternative for complementing experimental and mathematical approaches for vector-borne disease control.

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Section: Resultsmentioning

confidence: 99%

A computer simulation model of Wolbachia invasion for disease vector population modification

Guevara-Souza

Vallejo

2015

BMC Bioinformatics

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“…4a). fitness advantage compared to chromosomes lacking Medea, allowing it to rapidly drive a linked payload gene through a population [79][80][81][82][83] .…”

Section: Medeamentioning

confidence: 99%

Cheating evolution: engineering gene drives to manipulate the fate of wild populations

2016

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Engineered gene drives - the process of stimulating the biased inheritance of specific genes - have the potential to enable the spread of desirable genes throughout wild populations or to suppress harmful species, and may be particularly useful for the control of vector-borne diseases such as malaria. Although several types of selfish genetic elements exist in nature, few have been successfully engineered in the laboratory thus far. With the discovery of RNA-guided CRISPR-Cas9 (clustered regularly interspaced short palindromic repeats-CRISPR-associated 9) nucleases, which can be utilized to create, streamline and improve synthetic gene drives, this is rapidly changing. Here, we discuss the different types of engineered gene drives and their potential applications, as well as current policies regarding the safety and regulation of gene drives for the manipulation of wild populations.

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“…The developmental defect is rescued only in those embryos that inherit the Medea elements and thus carry an early embryogenesis-expressed miRNA-insensitive version of the target gene. These two components are placed adjacent to each other in the genome and can rapidly drive a linked cargo/payload gene through a population (Huang et al, 2009;Hay et al, 2010;Guevara-Souza and Vallejo, 2011;Ward et al, 2011). In successive generations, this system results in a disadvantage for wild-type alleles.…”

Section: Engineered Medea and Other Rescue (Medea-like) Gene Drivesmentioning

confidence: 99%

Adequacy and sufficiency evaluation of existing EFSA guidelines for the molecular characterisation, environmental risk assessment and post‐market environmental monitoring of genetically modified insects containing engineered gene drives

Naegeli¹,

Bresson²,

Dalmay³

et al. 2020

EFS2

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Advances in molecular and synthetic biology are enabling the engineering of gene drives in insects for disease vector/pest control. Engineered gene drives (that bias their own inheritance) can be designed either to suppress interbreeding target populations or modify them with a new genotype. Depending on the engineered gene drive system, theoretically, a genetic modification of interest could spread through target populations and persist indefinitely, or be restricted in its spread or persistence. While research on engineered gene drives and their applications in insects is advancing at a fast pace, it will take several years for technological developments to move to practical applications for deliberate release into the environment. Some gene drive modified insects (GDMIs) have been tested experimentally in the laboratory, but none has been assessed in small-scale confined field trials or in open release trials as yet. There is concern that the deliberate release of GDMIs in the environment may have possible irreversible and unintended consequences. As a proactive measure, the European Food Safety Authority (EFSA) has been requested by the European Commission to review whether its previously published guidelines for the risk assessment of genetically modified animals (EFSA, 2012 and 2013), including insects (GMIs), are adequate and sufficient for GDMIs, primarily disease vectors, agricultural pests and invasive species, for deliberate release into the environment. Under this mandate, EFSA was not requested to develop risk assessment guidelines for GDMIs. In this Scientific Opinion, the Panel on Genetically Modified Organisms (GMO) concludes that EFSA's guidelines are adequate, but insufficient for the molecular characterisation (MC), environmental risk assessment (ERA) and post-market environmental monitoring (PMEM) of GDMIs. While the MC, ERA and PMEM of GDMIs can build on the existing risk assessment framework for GMIs that do not contain engineered gene drives, there are specific areas where further guidance is needed for GDMIs.

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Computer Simulation on Disease Vector Population Replacement Driven by the Maternal Effect Dominant Embryonic Arrest

Cited by 6 publications

References 14 publications

A computer simulation model of Wolbachia invasion for disease vector population modification

A computer simulation model of Wolbachia invasion for disease vector population modification

Cheating evolution: engineering gene drives to manipulate the fate of wild populations

Adequacy and sufficiency evaluation of existing EFSA guidelines for the molecular characterisation, environmental risk assessment and post‐market environmental monitoring of genetically modified insects containing engineered gene drives

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