Biological Control of Mosquito-Borne Diseases: The Potential of Wolbachia-Based Interventions in an IVM Framework - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Journal of Tropical Medicine Année : 2018

Biological Control of Mosquito-Borne Diseases: The Potential of Wolbachia-Based Interventions in an IVM Framework

Résumé

People living in the tropical and subtropical regions of the world face an enormous health burden due to mosquito-borne diseases such as malaria, dengue fever, and filariasis. Historically and today, targeting mosquito vectors with, primarily, insecticide-based control strategies have been a key control strategy against major mosquito-borne diseases. However, the success to date of such approaches is under threat from multiple insecticide resistance mechanisms while vector control (VC) options are still limited. The situation therefore requires the development of innovative control measures against major mosquito-borne diseases. Transinfecting mosquitos with symbiotic bacteria that can compete with targeted pathogens or manipulate host biology to reduce their vectorial capacity are a promising and innovative biological control approach. In this review, we discuss the current state of knowledge about the association between mosquitoes and Wolbachia, emphasizing the limitations of different mosquito control strategies and the use of mosquitoes' commensal microbiota as innovative approaches to control mosquito-borne diseases.
Fichier principal
Vignette du fichier
1470459.pdf (2.94 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte
Loading...

Dates et versions

hal-01948082 , version 1 (03-12-2019)

Licence

Paternité

Identifiants

Citer

El Hadji Amadou Niang, Hubert Bassene, Florence Fenollar, Oleg Mediannikov. Biological Control of Mosquito-Borne Diseases: The Potential of Wolbachia-Based Interventions in an IVM Framework. Journal of Tropical Medicine, 2018, 2018, 1470459 (15 p.). ⟨10.1155/2018/1470459⟩. ⟨hal-01948082⟩

Collections

IRD CNRS UNIV-AMU
35 Consultations
52 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More