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Population genomics of Anopheles darlingi, the principal South American malaria vector mosquito

  • Jacob A. Tennessen
  • , Raphael Brosula
  • , Estelle Chabanol
  • , Sara Bickersmith
  • , Angela M. Early
  • , Margaret Laws
  • , Katrina A. Kelley
  • , Maria Eugenia Grillet
  • , Dionicia Gamboa
  • , Eric R. Lucas
  • , Jean Bernard Duchemin
  • , Martha L. Quiñones
  • , Maria Anice Mureb Sallum
  • , Eduardo S. Bergo
  • , Jorge E. Moreno
  • , Sanjay Nagi
  • , Nicholas J. Arisco
  • , Mohini Sooklall
  • , Reza Niles-Robin
  • , Marcia C. Castro
  • Horace Cox, Mathilde Gendrin, Jan E. Conn, Daniel E. Neafsey
  • Harvard University
  • Broad Institute
  • Institut Pasteur de la Guyane
  • Wadsworth Center for Laboratories and Research
  • Universidad Central de Venezuela
  • Universidad Peruana Cayetano Heredia
  • Institut Pasteur Paris
  • Universidad Nacional de Colombia
  • Universidade de São Paulo
  • Instituto Pasteur de São Paulo
  • Centro de Investigaciones de Campo Francesco Vitanza
  • Ministry of Health
  • SUNY Albany

Research output: Contribution to journalArticlepeer-review

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 An. darlingi (median depth 18x) from six South american countries. We observe deep geographic population structure, high genetic diversity including 13 putative segregating inversions, and no evidence for sympatric cryptic taxa despite high interpopulation divergence. Strong signals of selection are plausibly driven by insecticides, especially on cytochrome P450 genes. 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.

Original languageEnglish
Pages (from-to)1373-1378
Number of pages6
JournalScience
Volume391
Issue number6792
DOIs
Publication statusPublished - 26 Mar 2026

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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