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Patterns of Gene Flow in Anopheles coluzzii Populations From Two African Oceanic Islands

Authors: Melina Campos; Gordana Rašić; João Viegas; Anthony J. Cornel; João Pinto; Gregory C. Lanzaro;

Patterns of Gene Flow in Anopheles coluzzii Populations From Two African Oceanic Islands

Abstract

ABSTRACTThe malaria vector Anopheles coluzzii is widespread across West Africa and is the sole vector species on the islands of São Tomé and Príncipe. Our interest in the population genetics of this species on these islands is part of an assessment of their suitability for a field trial involving the release of genetically engineered A. coluzzii. The engineered construct includes two genes that encode anti‐Plasmodium peptides, along with a Cas9‐based gene drive. We investigated gene flow among A. coluzzii subpopulations on each island to estimate dispersal rates between sites. Sampling covered the known range of A. coluzzii on both islands. Spatial autocorrelation suggests 7 km to be the likely extent of dispersal of this species, whereas estimates based on a convolutional neural network were roughly 3 km. This difference highlights the complexity of dispersal dynamics and the value of using multiple approaches. Our analysis also revealed weak heterogeneity among populations within each island but did identify areas weakly resistant or permissive of gene flow. Overall, A. coluzzii on each of the two islands exist as single Mendelian populations. We expect that a gene construct that includes a low‐threshold gene drive and has minimal fitness impact should, once introduced, spread relatively unimpeded across each island.

Country
United States
Keywords

genetically engineered mosquito, 570, Evolution, genomics, malaria, QH359-425, Original Article, gene flow, mosquito dispersal

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Top 10%
Average
Average
Green
gold
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