Population genomics of Anopheles darlingi, the principal South American malaria vector mosquito
Tennessen, J. A.; Brosula, R.; Chabanol, E.; Bickersmith, S.; Early, A. M.; Laws, M.; Kelley, K. A.; Grillet, M. E.; Gamboa, D.; Lucas, E. R.; Duchemin, J.-B.; Quinones, M. L.; Sallum, M. A. M.; Bergo, E. S.; Moreno, J. E.; Nagi, S. C.; Arisco, N. J.; Sooklall, M.; Niles-Robin, R.; Castro, M. C.; Cox, H.; Gendrin, M.; Conn, J. E.; Neafsey, D. E.
Show abstract
Malaria in South America remains a serious public health problem. Anopheles (Nyssorhynchus) darlingi is the most important malaria vector across tropical Latin America. Vector-targeted disease control efforts require a thorough understanding of mosquito demographic and evolutionary patterns. We present and analyze whole genomes of 1094 A. darlingi (median depth 18x) from six South American countries. We observe deep geographic population structure, high genetic diversity including thirteen putative segregating inversions, and no evidence for cryptic sympatric taxa despite high interpopulation divergence. Strong signals of selection are plausibly driven by insecticides, especially on cytochrome P450 genes, one of which we validated experimentally. Our results will facilitate effective mosquito surveillance and control, while highlighting ongoing challenges that a diverse vector poses for malaria elimination in the western hemisphere.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Standing genetic variation and chromosome differences drove rapid ecotype formation in a major malaria vector 97%
- Geography is more important than life history in the recent diversification of the tiger salamander complex 95%
- A genetic switch for male UV-iridescence in an incipient species pair of sulphur butterflies 95%
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.