
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.
genetically engineered mosquito, 570, Evolution, genomics, malaria, QH359-425, Original Article, gene flow, mosquito dispersal
genetically engineered mosquito, 570, Evolution, genomics, malaria, QH359-425, Original Article, gene flow, mosquito dispersal
| 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). | 2 | |
| 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. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
