Evidence map›Paper›PMID 24904633›Full record

ReviewFrontiers in genetics2014

Adaptation through chromosomal inversions in Anopheles.

Diego Ayala, Anna Ullastres, Josefa González

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing papers in PubMed
8.4field-weighted citation impact, top 2% of its field
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

61 citing papers in PubMed, 117 citations in OpenAlex.

  1. Lineage-associated small inversions disruptMicrobiology spectrum · 2026
    Article
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  3. Genomic signatures of selection inbioRxiv : the preprint server for biology · 2026
    Article
  4. The entireAntimicrobial agents and chemotherapy · 2026
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  6. Population genomics ofScience (New York, N.Y.) · 2026
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  12. Review
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  18. Evolutionary adaptation under climate change:Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  19. Article
  20. Article

1 more citing papers are in PubMed but not listed here.

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

3 authors at 2 institutions in 3 countries.

Diego AyalaUMR 224 MIVEGEC/BEES, IRD Montpellier, France ; Unité d'Entomologie Médicale, Centre International de Recherches Médicales de Franceville Franceville, Gabon.
Anna UllastresComparative and Computational Genomics, Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra) Barcelona, Spain.
Josefa GonzálezComparative and Computational Genomics, Institute of Evolutionary Biology (CSIC-Universitat Pompeu Fabra) Barcelona, Spain.
Institut de Biologia Evolutiva · ESMaladies Infectieuses et Vecteurs: Écologie, Génétique, Évolution et Contrôle · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chromosomal inversions have been repeatedly involved in local adaptation in a large number of animals and plants. The ecological and behavioral plasticity of Anopheles species-human malaria vectors-is mirrored by high amounts of polymorphic inversions. The adaptive significance of chromosomal inversions has been consistently attested by strong and significant correlations between their frequencies and a number of phenotypic traits. Here, we provide an extensive literature review of the different adaptive traits associated with chromosomal inversions in the genus Anopheles. Traits having important consequences for the success of present and future vector control measures, such as insecticide resistance and behavioral changes, are discussed.

Indexed as

behavioral traitsclinal patternsinsecticide resistancelocal adaptationphenotypic traits

Identifiers

PMID24904633
PMCPMC4033225
OpenAlexW2022898469

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.