Evidence map›Paper›PMID 32302396›Full record

ArticleMolecular biology and evolution2020

A Whole-Genome Scan for Association with Invasion Success in the Fruit Fly Drosophila suzukii Using Contrasts of Allele Frequencies Corrected for Population Structure.

Laure Olazcuaga, Anne Loiseau, Hugues Parrinello, Mathilde Paris, Antoine Fraimout, Christelle Guedot, Lauren M Diepenbrock, Marc Kenis, Jinping Zhang, Xiao Chen and 8 more

Abstract readEvaluation Study
In one paragraph

Article in Molecular biology and evolution, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 1 pooled it
–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

56 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Genomic investigations of successful invasions: the picture emerging from recent studies.Biological reviews of the Cambridge Philosophical Society · 2025
    Pooled it
  2. Article
  3. Sexual selection purges mutation load, but not overall genetic diversity, decreasing vulnerability to extinction.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Adaptation ofEvolutionary applications · 2025
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

18 authors.

Laure OlazcuagaINRAE, UMR CBGP (INRAE-IRD-Cirad - Montpellier SupAgro), Montferrier-sur-Lez, France.
Anne LoiseauINRAE, UMR CBGP (INRAE-IRD-Cirad - Montpellier SupAgro), Montferrier-sur-Lez, France.
Hugues ParrinelloMGX, Biocampus Montpellier, CNRS, INSERM, Universite de Montpellier, Montpellier, France.
Mathilde ParisAix Marseille Université, CNRS, IBDM, Marseille, France.
Antoine FraimoutINRAE, UMR CBGP (INRAE-IRD-Cirad - Montpellier SupAgro), Montferrier-sur-Lez, France.
Christelle GuedotDepartment of Entomology, University of Wisconsin, Madison, WI.
Lauren M DiepenbrockDepartment of Entomology and Plant Pathology, NC State University.
Marc KenisCABI, Delémont, Switzerland.
Jinping ZhangMoA-CABI Joint Laboratory for Bio-Safety, Chinese Academy of Agricultural Sciences, BeiXiaGuan, Haidian Qu, China.
Xiao ChenCollege of Plant Protection, Yunnan Agricultural University, Kunming, Yunnan Province, China.
Nicolas BorowiecUMR INRAE-CNRS-Université Côte d'Azur Sophia Agrobiotech Institute, Sophia Antipolis, France.
Benoit FaconUMR Peuplements Végétaux et Bioagresseurs en Milieu Tropical, INRAE, Saint-Pierre, La Réunion, France.
Heidrun VogtJulius Kühn-Institut (JKI), Federal Research Centre for Cultivated Plants, Institute for Plant Protection in Fruit Crops and Viticulture, Dossenheim, Germany.
Donald K PriceSchool of Life Sciences, University of Nevada, Las Vegas, Las Vegas, NV.
Heiko VogelDepartment of Entomology, Max Planck Institute for Chemical Ecology, Jena, Germany.
Benjamin Prud'hommeAix Marseille Université, CNRS, IBDM, Marseille, France.
Arnaud EstoupINRAE, UMR CBGP (INRAE-IRD-Cirad - Montpellier SupAgro), Montferrier-sur-Lez, France.
Mathieu GautierINRAE, UMR CBGP (INRAE-IRD-Cirad - Montpellier SupAgro), Montferrier-sur-Lez, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evidence is accumulating that evolutionary changes are not only common during biological invasions but may also contribute directly to invasion success. The genomic basis of such changes is still largely unexplored. Yet, understanding the genomic response to invasion may help to predict the conditions under which invasiveness can be enhanced or suppressed. Here, we characterized the genome response of the spotted wing drosophila Drosophila suzukii during the worldwide invasion of this pest insect species, by conducting a genome-wide association study to identify genes involved in adaptive processes during invasion. Genomic data from 22 population samples were analyzed to detect genetic variants associated with the status (invasive versus native) of the sampled populations based on a newly developed statistic, we called C2, that contrasts allele frequencies corrected for population structure. We evaluated this new statistical framework using simulated data sets and implemented it in an upgraded version of the program BayPass. We identified a relatively small set of single-nucleotide polymorphisms that show a highly significant association with the invasive status of D. suzukii populations. In particular, two genes, RhoGEF64C and cpo, contained single-nucleotide polymorphisms significantly associated with the invasive status in the two separate main invasion routes of D. suzukii. Our methodological approaches can be applied to any other invasive species, and more generally to any evolutionary model for species characterized by nonequilibrium demographic conditions for which binary covariables of interest can be defined at the population level.

Indexed as

Adaptation, BiologicalGenome, InsectIntroduced SpeciesModels, GeneticAnimalsDrosophilaGene FrequencyBayPassbiological invasionsDrosophila suzukiiGWASPool-Seq

Identifiers

PMID32302396
PMCPMC7403613

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.