Evidence map›Paper›PMID 37301847›Full record

ArticleBMC genomics2023

Genomic signatures of local adaptation in recent invasive Aedes aegypti populations in California.

Shaghayegh Soudi, Marc Crepeau, Travis C Collier, Yoosook Lee, Anthony J Cornel, Gregory C Lanzaro

Abstract read
In one paragraph

Article in BMC genomics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Evolutionary adaptation under climate change:Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Evolutionary adaptation under climate change:bioRxiv : the preprint server for biology · 2024
    Article
  6. Article
  7. Article
  8. 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

6 authors.

Shaghayegh SoudiVector Genetics Laboratory, Department of Pathology, Microbiology and Immunology, University of California Davis, Davis, CA, USA.
Marc CrepeauVector Genetics Laboratory, Department of Pathology, Microbiology and Immunology, University of California Davis, Davis, CA, USA.
Travis C CollierVector Genetics Laboratory, Department of Pathology, Microbiology and Immunology, University of California Davis, Davis, CA, USA.
Yoosook LeeFlorida Medical Entomology Laboratory, University of Florida, Vero Beach, FL, USA.
Anthony J CornelVector Genetics Laboratory, Department of Pathology, Microbiology and Immunology, University of California Davis, Davis, CA, USA.
Gregory C LanzaroVector Genetics Laboratory, Department of Pathology, Microbiology and Immunology, University of California Davis, Davis, CA, USA. gclanzaro@ucdavis.edu.

Funding

CDC HHS Cooperative Agreement 1U01CK000516NCEZID CDC HHS U01 CK000516
6 · The paper itself

Abstract

backgroundRapid adaptation to new environments can facilitate species invasions and range expansions. Understanding the mechanisms of adaptation used by invasive disease vectors in new regions has key implications for mitigating the prevalence and spread of vector-borne disease, although they remain relatively unexplored.

resultsHere, we integrate whole-genome sequencing data from 96 Aedes aegypti mosquitoes collected from various sites in southern and central California with 25 annual topo-climate variables to investigate genome-wide signals of local adaptation among populations. Patterns of population structure, as inferred using principal components and admixture analysis, were consistent with three genetic clusters. Using various landscape genomics approaches, which all remove the confounding effects of shared ancestry on correlations between genetic and environmental variation, we identified 112 genes showing strong signals of local environmental adaptation associated with one or more topo-climate factors. Some of them have known effects in climate adaptation, such as heat-shock proteins, which shows selective sweep and recent positive selection acting on these genomic regions.

conclusionsOur results provide a genome wide perspective on the distribution of adaptive loci and lay the foundation for future work to understand how environmental adaptation in Ae. aegypti impacts the arboviral disease landscape and how such adaptation could help or hinder efforts at population control.

Indexed as

AedesAdaptation, PhysiologicalAnimalsCaliforniaGenomicsMosquito VectorsAdaptive lociAedes mosquitoesGenome scanLandscape genomicsSelection

Identifiers

PMID37301847
PMCPMC10257851

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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 OpenQuestion graph.