scholarly journals A CRISPR-Cas9 gene drive system targeting female reproduction in the malaria mosquito vector Anopheles gambiae

2016 ◽  
Vol 34 (1) ◽  
pp. 78-83 ◽  
Author(s):  
Andrew Hammond ◽  
Roberto Galizi ◽  
Kyros Kyrou ◽  
Alekos Simoni ◽  
Carla Siniscalchi ◽  
...  
2012 ◽  
Vol 8 (5) ◽  
pp. e1002742 ◽  
Author(s):  
Anne Boissière ◽  
Majoline T. Tchioffo ◽  
Dipankar Bachar ◽  
Luc Abate ◽  
Alexandra Marie ◽  
...  

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
John B. Connolly ◽  
John D. Mumford ◽  
Silke Fuchs ◽  
Geoff Turner ◽  
Camilla Beech ◽  
...  

Abstract Background Population suppression gene drive has been proposed as a strategy for malaria vector control. A CRISPR-Cas9-based transgene homing at the doublesex locus (dsxFCRISPRh) has recently been shown to increase rapidly in frequency in, and suppress, caged laboratory populations of the malaria mosquito vector Anopheles gambiae. Here, problem formulation, an initial step in environmental risk assessment (ERA), was performed for simulated field releases of the dsxFCRISPRh transgene in West Africa. Methods Building on consultative workshops in Africa that previously identified relevant environmental and health protection goals for ERA of gene drive in malaria vector control, 8 potentially harmful effects from these simulated releases were identified. These were stratified into 46 plausible pathways describing the causal chain of events that would be required for potential harms to occur. Risk hypotheses to interrogate critical steps in each pathway, and an analysis plan involving experiments, modelling and literature review to test each of those risk hypotheses, were developed. Results Most potential harms involved increased human (n = 13) or animal (n = 13) disease transmission, emphasizing the importance to subsequent stages of ERA of data on vectorial capacity comparing transgenics to non-transgenics. Although some of the pathways (n = 14) were based on known anatomical alterations in dsxFCRISPRh homozygotes, many could also be applicable to field releases of a range of other transgenic strains of mosquito (n = 18). In addition to population suppression of target organisms being an accepted outcome for existing vector control programmes, these investigations also revealed that the efficacy of population suppression caused by the dsxFCRISPRh transgene should itself directly affect most pathways (n = 35). Conclusions Modelling will play an essential role in subsequent stages of ERA by clarifying the dynamics of this relationship between population suppression and reduction in exposure to specific potential harms. This analysis represents a comprehensive identification of plausible pathways to potential harm using problem formulation for a specific gene drive transgene and organism, and a transparent communication tool that could inform future regulatory studies, guide subsequent stages of ERA, and stimulate further, broader engagement on the use of population suppression gene drive to control malaria vectors in West Africa.


2021 ◽  
Author(s):  
Nicholas J. Beeton ◽  
Andrew Wilkins ◽  
Adrien Ickowicz ◽  
Keith R. Hayes ◽  
Geoffrey R. Hosack

AbstractMalaria is one of the deadliest vector-borne diseases in the world. Researchers are developing new genetic and conventional vector control strategies to attempt to limit its burden. To be deployed responsibly and successfully, proposed novel control strategies require detailed safety assessment. Anopheles gambiae sensu stricto (s.s.) and Anopheles coluzzii, two closely related subspecies within the species complex Anopheles gambiae sensu lato (s.l.), are among the dominant malaria vectors in sub-Saharan Africa. These two subspecies readily hybridise and compete in the wild and are also known to have distinct niches, each with spatially and temporally varying carrying capacities driven by precipitation and land use factors.We model the spread and persistence of a population-modifying gene drive system in these subspecies across sub-Saharan Africa, by simulating introductions of genetically modified mosquitoes across the African mainland as well as on some offshore islands. We explore transmission of the gene drive between the subspecies, different hybridisation mechanisms, the effects of both local dispersal and potential wind-aided migration to the spread, and the development of resistance to the gene drive. We find that given best current available knowledge on the subspecies’ life histories, an introduced gene drive system with typical characteristics can plausibly spread from even distant offshore islands to the African mainland with the aid of wind-driven migration, with resistance taking over within a decade. Our model demonstrates a range of realistic dynamics including the effect of prevailing wind on spread and spatio-temporally varying carrying capacities for subspecies. We thus show both the plausibility and importance of accounting for a wide range of mechanisms from regional to continental scales.


1985 ◽  
Vol 6 (2) ◽  
pp. 199-204 ◽  
Author(s):  
W. A. Otieno ◽  
M. O. Odindo ◽  
D. M. Sabwa

AbstractA survey of the natural enemies of the main malaria vector in Kenya, Anopheles gambiae Giles, revealed the occurrence of a fungal pathogen in field populations of mosquito larvae. Light and scanning electron microscopy was used in the examination of sporangia of the fungus in determining its identity as Coelomomyces indicus Iyengar (Order: Blastocladiales; Family: Coelomomycetaceae). The resting sporangia were found in the thoracic and abdominal cavities of the larvae. A mortality of 63% or higher was found to occur among the larvae of A. gambiae in a two season observation along the Kenyan coast. The authors stress the need for more intensified ecological and laboratory studies aimed at developing C. indicus as a biocontrol agent.


Nature ◽  
2011 ◽  
Vol 473 (7346) ◽  
pp. 212-215 ◽  
Author(s):  
Nikolai Windbichler ◽  
Miriam Menichelli ◽  
Philippos Aris Papathanos ◽  
Summer B. Thyme ◽  
Hui Li ◽  
...  

Insects ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 97
Author(s):  
Nace Kranjc ◽  
Andrea Crisanti ◽  
Tony Nolan ◽  
Federica Bernardini

The increase in molecular tools for the genetic engineering of insect pests and disease vectors, such as Anopheles mosquitoes that transmit malaria, has led to an unprecedented investigation of the genomic landscape of these organisms. The understanding of genome variability in wild mosquito populations is of primary importance for vector control strategies. This is particularly the case for gene drive systems, which look to introduce genetic traits into a population by targeting specific genomic regions. Gene drive targets with functional or structural constraints are highly desirable as they are less likely to tolerate mutations that prevent targeting by the gene drive and consequent failure of the technology. In this study we describe a bioinformatic pipeline that allows the analysis of whole genome data for the identification of highly conserved regions that can point at potential functional or structural constraints. The analysis was conducted across the genomes of 22 insect species separated by more than hundred million years of evolution and includes the observed genomic variation within field caught samples of Anopheles gambiae and Anopheles coluzzii, the two most dominant malaria vectors. This study offers insight into the level of conservation at a genome-wide scale as well as at per base-pair resolution. The results of this analysis are gathered in a data storage system that allows for flexible extraction and bioinformatic manipulation. Furthermore, it represents a valuable resource that could provide insight into population structure and dynamics of the species in the complex and benefit the development and implementation of genetic strategies to tackle malaria.


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