Mitogenome analyses reveal limited introduction of Anopheles coluzzii into the central African islands of São Tomé and Príncipe.

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Complete mitogenome sequence of Anopheles coustani from São Tomé island

We report the first complete mitogenome (Mt) sequence of Anopheles coustani, an understudied malaria vector in Africa. The sequence was extracted from one individual mosquito from São Tomé island. The length of the A. coustani Mt genome was 15,408 bp with 79.3% AT content. Phylogenetic analysis revealed that A. coustani is most closely related to A. sinensis (93.5% of identity); and 90.1% identical to A. gambiae complex members.publishersversionpublishe

The origin of island populations of the African malaria mosquito, Anopheles coluzzii

Funding Information: This work was supported by grants from the UC Irvine Malaria Initiative Program, Open Philanthropy and NIH R56 grant (R56AI130277). We thank the National Malaria Control Program personnel from São Tomé and Príncipe and, Ministry of Health in São Tomé and Príncipe who facilitated our field collections in São Tomé. We thank the Centre International de Recherches Médicales de Franceville (Franceville, Gabon) for the collections in Gabon. Publisher Copyright: © 2021, The Author(s).Anopheles coluzzii is a major malaria vector throughout its distribution in west-central Africa. Here we present a whole-genome study of 142 specimens from nine countries in continental Africa and three islands in the Gulf of Guinea. This sample set covers a large part of this species’ geographic range. Our population genomic analyses included a description of the structure of mainland populations, island populations, and connectivity between them. Three genetic clusters are identified among mainland populations and genetic distances (FST) fits an isolation-by-distance model. Genomic analyses are applied to estimate the demographic history and ancestry for each island. Taken together with the unique biogeography and history of human occupation for each island, they present a coherent explanation underlying levels of genetic isolation between mainland and island populations. We discuss the relationship of our findings to the suitability of São Tomé and Príncipe islands as candidate sites for potential field trials of genetic-based malaria control strategies.publishersversionpublishe

Complete mitogenome sequence of Anopheles coustani from São Tomé island.

We report the first complete mitogenome (Mt) sequence of Anopheles coustani, an understudied malaria vector in Africa. The sequence was extracted from one individual mosquito from São Tomé island. The length of the A. coustani Mt genome was 15,408 bp with 79.3% AT content. Phylogenetic analysis revealed that A. coustani is most closely related to A. sinensis (93.5% of identity); and 90.1% identical to A. gambiae complex members

The origin of island populations of the African malaria mosquito, Anopheles coluzzii

International audienceAnopheles coluzzii is a major malaria vector throughout its distribution in west-central Africa. Here we present a whole-genome study of 142 specimens from nine countries in continental Africa and three islands in the Gulf of Guinea. This sample set covers a large part of this species' geographic range. Our population genomic analyses included a description of the structure of mainland populations, island populations, and connectivity between them. Three genetic clusters are identified among mainland populations and genetic distances (F ST) fits an isolation-by-distance model. Genomic analyses are applied to estimate the demographic history and ancestry for each island. Taken together with the unique biogeography and history of human occupation for each island, they present a coherent explanation underlying levels of genetic isolation between mainland and island populations. We discuss the relationship of our findings to the suitability of São Tomé and Príncipe islands as candidate sites for potential field trials of genetic-based malaria control strategies

Application of the Relationship-Based Model to Engagement for Field Trials of Genetically Engineered Malaria Vectors.

The transition of new technologies for public health from laboratory to field is accompanied by a broadening scope of engagement challenges. Recent developments of vector control strategies involving genetically engineered mosquitoes with gene drives to assist in the eradication of malaria have drawn significant attention. Notably, questions have arisen surrounding community and regulatory engagement activities and of the need for examples of models or frameworks that can be applied to guide engagement. A relationship-based model (RBM) provides a framework that places stakeholders and community members at the center of decision-making processes, rather than as recipients of predetermined strategies, methods, and definitions. Successful RBM application in the transformation of healthcare delivery has demonstrated the importance of open dialogue and relationship development in establishing an environment where individuals are actively engaged in decision-making processes regarding their health. Although guidelines and recommendations for engagement for gene drives have recently been described, we argue here that communities and stakeholders should lead the planning, development, and implementation phases of engagement. The RBM provides a new approach to the development of ethical, transparent, and effective engagement strategies for malaria control programs