ArticlePloS one2015
Microevolution of Aedes aegypti.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Article
- Geometric morphometric analysis of wing size and shape variation inJournal of advanced veterinary and animal research · 2026Article
- Article
- Unraveling biotypes of the northern house mosquito, Culex pipiens s.l. (Diptera: Culicidae): molecular differentiation and morphometric analysis.Journal of insect science (Online) · 2024Article
- Nanoemulsions and Solid Microparticles Containing Pentyl Cinnamate to ControlInternational journal of molecular sciences · 2023Article
- Genetic Differentiation ofInsects · 2023Article
- Geometric morphometric and molecular techniques for discriminating among three cryptic species of theHeliyon · 2022Article
- Using machine learning to understand microgeographic determinants of the Zika vector, Aedes aegypti.PloS one · 2022Article
- Population structure and ancestry prediction of Aedes aegypti (Diptera: Culicidae) supports a single African origin of Colombian populations.Memorias do Instituto Oswaldo Cruz · 2021Article
- Microgeographic Wing-Shape Variation inInsects · 2020Article
- The influence of anthropogenic habitat fragmentation on the genetic structure and diversity of the malaria vector Anopheles cruzii (Diptera: Culicidae).Scientific reports · 2020Article
- Geometric morphometric wing analysis represents a robust tool to identify female mosquitoes (Diptera: Culicidae) in Germany.Scientific reports · 2020Article
- Article
- Effectiveness of landmark- and semi-landmark-based geometric morphometric to identify four species ofJournal of advanced veterinary and animal research · 2019Article
- Community Composition and Year-round Abundance of Vector Species of Mosquitoes make Miami-Dade County, Florida a Receptive Gateway for Arbovirus entry to the United States.Scientific reports · 2019Article
- Variation over time in wing size and shape of the coastal malaria vectorJournal of advanced veterinary and animal research · 2019Article
- Population structuring of the invasive mosquito Aedes albopictus (Diptera: Culicidae) on a microgeographic scale.PloS one · 2019Article
- Wing morphometric variability in Aedes aegypti (Diptera: Culicidae) from different urban built environments.Parasites & vectors · 2018Article
- Wing morphometrics of Aedes (Ochlerotatus) albifasciatus (Macquart, 1838) (Diptera: Culicidae) from different climatic regions of Argentina.Parasites & vectors · 2018Article
- Yellow fever in Africa and the Americas: a historical and epidemiological perspective.The journal of venomous animals and toxins including tropical diseases · 2018Review
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Scientific research into the epidemiology of dengue frequently focuses on the microevolution and dispersion of the mosquito Aedes aegypti. One of the world's largest urban agglomerations infested by Ae. aegypti is the Brazilian megalopolis of Sao Paulo, where >26,900 cases of dengue were reported until June 2015. Unfortunately, the dynamics of the genetic variability of Ae. aegypti in the Sao Paulo area have not been well studied. To reduce this knowledge gap, we assessed the morphogenetic variability of a population of Ae. aegypti from a densely urbanised neighbourhood of Sao Paulo. We tested if allelic patterns could vary over a short term and if wing shape could be a predictor of the genetic variation. Over a period of 14 months, we examined the variation of genetic (microsatellites loci) and morphological (wing geometry) markers in Ae. aegypti. Polymorphisms were detected, as revealed by the variability of 20 microsatellite loci (115 alleles combined; overall Fst = 0.0358) and 18 wing landmarks (quantitative estimator Qst = 0.4732). These levels of polymorphism are higher than typically expected to an exotic species. Allelic frequencies of the loci changed over time and temporal variation in the wing shape was even more pronounced, permitting high reclassification levels of chronological samples. In spite of the fact that both markers underwent temporal variation, no correlation was detected between their dynamics. We concluded that microevolution was detected despite the short observational period, but the intensities of change of the markers were discrepant. Wing shape failed from predicting allelic temporal variation. Possibly, natural selection (Qst>Fst) or variance of expressivity of wing phenotype are involved in this discrepancy. Other possibly influential factors on microevolution of Ae. aegypti are worth searching. Additionally, the implications of the rapid evolution and high polymorphism of this mosquito vector on the efficacy of control methods have yet to be investigated.
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