Evidence map›Paper›PMID 40155778›Full record

ArticleNature ecology & evolution2025

Adaptive genomic signatures of globally invasive populations of the yellow fever mosquito Aedes aegypti.

Alejandro N Lozada-Chávez, Irma Lozada-Chávez, Niccolò Alfano, Umberto Palatini, Davide Sogliani, Samia Elfekih, Teshome Degefa, Maria V Sharakhova, Athanase Badolo, Patchara Sriwichai and 6 more

Abstract read
In one paragraph

Article in Nature ecology & evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Vector competence acrossJournal of virology · 2026
    Review
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  5. Review
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  12. High-resolution characterisation of diel activity rhythms inCurrent research in parasitology & vector-borne diseases · 2026
    Article
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  18. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Alejandro N Lozada-Chávez *Department of Biology and Biotechnology, University of Pavia, Pavia, Italy. nabor.lozada@gmail.com.ORCID http://orcid.org/0000-0002-7230-3903
Irma Lozada-Chávez *Evo-devo, Bioinformatics and Neuromorphic Information Processing groups, Institute of Computer Science and Faculty of Mathematics and Computer Science, Leipzig University, Leipzig, Germany.ORCID http://orcid.org/0000-0001-8406-9969
Niccolò AlfanoDepartment of Biology and Biotechnology, University of Pavia, Pavia, Italy.ORCID http://orcid.org/0000-0002-8174-8568
Umberto PalatiniDepartment of Biology and Biotechnology, University of Pavia, Pavia, Italy.ORCID http://orcid.org/0000-0002-2435-2655
Davide SoglianiDepartment of Biology and Biotechnology, University of Pavia, Pavia, Italy.ORCID http://orcid.org/0000-0002-6455-7823
Samia ElfekihAustralian Centre for Disease Preparedness, CSIRO Australia Bio21 Institute, School of Biosciences, University of Melbourne, Melbourne, Victoria, Australia.
Teshome DegefaSchool of Medical Laboratory Sciences, Institute of Health, Jimma University, Jimma, Ethiopia.ORCID http://orcid.org/0000-0002-3518-2372
Maria V SharakhovaDepartment of Entomology and the Fralin Life Science Institute, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA.
Athanase BadoloLaboratoire d'Entomologie Fondamentale et Appliquée, Université Joseph Ki-Zerbo, Ouagadougou, Burkina Faso.
Patchara SriwichaiDepartment of Medical Entomology, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.ORCID http://orcid.org/0000-0003-2065-0660
Mauricio Casas-MartínezCentro Regional de Investigación en Salud Pública, Instituto Nacional de Salud Pública, Tapachula, México.ORCID http://orcid.org/0000-0002-7850-6082
Bianca C CarlosSchool of Agricultural Sciences, São Paulo State University, Botucatu, Brazil.
Rebeca Carballar-LejarazúDepartment of Biology and Biotechnology, University of Pavia, Pavia, Italy.
Louis LambrechtsInsect-Virus Interactions Unit, Institut Pasteur, Université Paris Cité, CNRS UMR2000, Paris, France.ORCID http://orcid.org/0000-0001-5958-2138
Jayme A Souza-NetoSchool of Agricultural Sciences, São Paulo State University, Botucatu, Brazil.
Mariangela BonizzoniDepartment of Biology and Biotechnology, University of Pavia, Pavia, Italy. mariangela.bonizzoni@unipv.it.ORCID http://orcid.org/0000-0003-0568-8564

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 682394
6 · The paper itself

Abstract

In the arboviral vector Aedes aegypti, adaptation to anthropogenic environments has led to a major evolutionary shift separating the domestic Aedes aegypti aegypti (Aaa) ecotype from the wild Aedes aegypti formosus (Aaf) ecotype. Aaa mosquitoes are distributed globally and have higher vectorial capacity than Aaf, which remained in Africa. Despite the evolutionary and epidemiological relevance of this separation, inconsistent morphological data and a complex population structure have hindered the identification of genomic signals distinguishing the two ecotypes. Here we assessed the correspondence between the geographic distribution, population structure and genome-wide selection of 511 Aaf and 123 Aaa specimens and report adaptive signals in 186 genes that we call Aaa molecular signatures. Our results indicate that Aaa molecular signatures arose from standing variation associated with extensive ancestral polymorphisms in Aaf populations and have been co-opted for self-domestication through genomic and functional redundancy and local adaptation. Overall, we show that the behavioural shift of Ae. aegypti mosquitoes to live in association with humans relied on the fine regulation of chemosensory, neuronal and metabolic functions, as seen in the domestication processes of rabbits and silkworms. Our results also provide a foundation for the investigation of new genic targets for the control of Ae. aegypti populations.

Indexed as

Adaptation, BiologicalAdaptation, PhysiologicalAedesGenome, InsectIntroduced SpeciesMosquito VectorsAnimalsEcotypeYellow Fever

Identifiers

PMID40155778
PMCPMC11976285

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.