NDLI: The use of driving endonuclease genes to suppress mosquito vectors of malaria in temporally variable environments

Content Provider	Springer Nature : BioMed Central
Author	Lambert, Ben North, Ace Burt, Austin Godfray, H. Charles J.
Abstract	Background The use of gene drive systems to manipulate populations of malaria vectors is currently being investigated as a method of malaria control. One potential system uses driving endonuclease genes (DEGs) to spread genes that impose a genetic load. Previously, models have shown that the introduction of DEG-bearing mosquitoes could suppress or even extinguish vector populations in spatially-heterogeneous environments which were constant over time. In this study, a stochastic spatially-explicit model of mosquito ecology is combined with a rainfall model which enables the generation of a variety of daily precipitation patterns. The model is then used to investigate how releases of a DEG that cause a bias in population sex ratios towards males are affected by seasonal or random rainfall patterns. The parameters of the rainfall model are then fitted using data from Bamako, Mali, and Mbita, Kenya, to evaluate release strategies in similar climatic conditions. Results In landscapes with abundant resources and large mosquito populations the spread of a DEG is reliable, irrespective of variability in rainfall. This study thus focuses mainly on landscapes with low density mosquito populations where the spread of a DEG may be sensitive to variation in rainfall. It is found that an introduced DEG will spread into its target population more reliably in wet conditions, yet an established DEG will have more impact in dry conditions. In strongly seasonal environments, it is thus preferable to release DEGs at the onset of a wet season to maximize their spread before the following dry season. If the variability in rainfall has a substantial random component, there is a net increase in the probability that a DEG release will lead to population extinction, due to the increased impact of a DEG which manages to establish in these conditions. For Bamako, where annual rainfall patterns are characterized by a long dry season, it is optimal to release a DEG at the start of the wet season, where the population is growing fastest. By contrast release timing is of lower importance for the less seasonal Mbita. Conclusion This analysis suggests that DEG based methods of malaria vector control can be effective in a wide range of climates. In environments with substantial temporal variation in rainfall, careful timing of releases which accounts for the temporal variation in population density can substantially improve the probability of mosquito suppression or extinction.
Related Links	https://malariajournal.biomedcentral.com/counter/pdf/10.1186/s12936-018-2259-8.pdf
Ending Page	14
Page Count	14
Starting Page	1
File Format	HTM / HTML
ISSN	14752875
DOI	10.1186/s12936-018-2259-8
Journal	Malaria Journal
Issue Number	1
Volume Number	17
Language	English
Publisher	BioMed Central
Publisher Date	2018-04-04
Access Restriction	Open
Subject Keyword	Parasitology Tropical Medicine Infectious Diseases Entomology Microbiology Public Health Anopheles Rainfall Homing endonucleases Epidemiology Vector control Climate-modelling Spatial modelling Weather
Content Type	Text
Resource Type	Article
Subject	Infectious Diseases Parasitology
Journal Impact Factor	2.4/2023
5-Year Journal Impact Factor	2.6/2023

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Engineering mosquito population for vector control

Modelling the persistence of mosquito vectors of malaria in Burkina Faso

Predicting and mapping malaria under climate change scenarios: the potential redistribution of malaria vectors in Africa

Where have all the mosquito nets gone? Spatial modelling reveals mosquito net distributions across Tanzania do not target optimal Anopheles mosquito habitats

Sugar-fermenting yeast as an organic source of carbon dioxide to attract the malaria mosquito Anopheles gambiae s.s.

Spatial heterogeneity of malaria vectors and malaria transmission risk estimated using odour-baited mosquito traps

The impact of transfluthrin on the spatial repellency of the primary malaria mosquito vectors in Vietnam: Anopheles dirus and Anopheles minimus

Modelling the relative abundance of the primary African vectors of malaria before and after the implementation of indoor, insecticide-based vector control

The portfolio effect cushions mosquito populations and malaria transmission against vector control interventions

The use of driving endonuclease genes to suppress mosquito vectors of malaria in temporally variable environments

Similar Documents

Engineering mosquito population for vector control

Modelling the persistence of mosquito vectors of malaria in Burkina Faso

Predicting and mapping malaria under climate change scenarios: the potential redistribution of malaria vectors in Africa

Where have all the mosquito nets gone? Spatial modelling reveals mosquito net distributions across Tanzania do not target optimal Anopheles mosquito habitats

Sugar-fermenting yeast as an organic source of carbon dioxide to attract the malaria mosquito Anopheles gambiae s.s.

Spatial heterogeneity of malaria vectors and malaria transmission risk estimated using odour-baited mosquito traps

The impact of transfluthrin on the spatial repellency of the primary malaria mosquito vectors in Vietnam: Anopheles dirus and Anopheles minimus

Modelling the relative abundance of the primary African vectors of malaria before and after the implementation of indoor, insecticide-based vector control

The portfolio effect cushions mosquito populations and malaria transmission against vector control interventions

The use of driving endonuclease genes to suppress mosquito vectors of malaria in temporally variable environments