Evidence map›Paper›PMID 28122970›Full record

ArticleMolecular biology and evolution2017

Deciphering the Routes of invasion of Drosophila suzukii by Means of ABC Random Forest.

Antoine Fraimout, Vincent Debat, Simon Fellous, Ruth A Hufbauer, Julien Foucaud, Pierre Pudlo, Jean-Michel Marin, Donald K Price, Julien Cattel, Xiao Chen and 16 more

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing 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

65 citing papers in PubMed.

  1. A roadmap to key traits of invasive Drosophilidae.Biological reviews of the Cambridge Philosophical Society · 2026
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5 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

26 authors.

Antoine FraimoutInstitut de Systématique, Évolution, Biodiversité, ISYEB - UMR 7205 - CNRS, MNHN, UPMC, EPHE, Muséum national d'Histoire naturelle, Sorbonne Universités, Paris, France.
Vincent DebatInstitut de Systématique, Évolution, Biodiversité, ISYEB - UMR 7205 - CNRS, MNHN, UPMC, EPHE, Muséum national d'Histoire naturelle, Sorbonne Universités, Paris, France.
Simon FellousINRA, Centre de Biologie et de Gestion des Populations (UMR INRA IRD Cirad Montpellier SupAgro), Montferrier-Sur-Lez, France.
Ruth A HufbauerINRA, Centre de Biologie et de Gestion des Populations (UMR INRA IRD Cirad Montpellier SupAgro), Montferrier-Sur-Lez, France.
Julien FoucaudINRA, Centre de Biologie et de Gestion des Populations (UMR INRA IRD Cirad Montpellier SupAgro), Montferrier-Sur-Lez, France.
Pierre PudloCentre de Mathématiques et Informatique, Aix-Marseille Université, Marseille, France.
Jean-Michel MarinInstitut Montpelliérain Alexander Grothendieck, Université de Montpellier, Montpellier, France.
Donald K PriceTropical Conservation Biology & Environmental Science, University of Hawaii at Hilo, HI.
Julien CattelLaboratoire de Biométrie et Biologie Evolutive, UMR CNRS 5558, Université Claude Bernard Lyon 1, Villeurbanne, France.
Xiao ChenCollege of Plant Protection, Yunnan Agricultural University, Kunming, Yunnan Province, People's Republic of China.
Marindia DepráPrograma de Pós Graduação em Genética e Biologia Molecular, Programa de Pós Graduação em Biologia Animal, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil.
Pierre François DuyckCIRAD, UMR Peuplement Végétaux et Bioagresseurs en Milieu Tropical, Paris, France.
Christelle GuedotDepartment of Entomology, University of Wisconsin, Madison, WI.
Marc KenisCABI, Delémont, Switzerland.
Masahito T KimuraGraduate School of Environmental Earth Science, Hokkaido Daigaku University, Sapporo, Hokkaido Prefecture, Japan.
Gregory LoebDepartment of Entomology, Cornell University, Ithaca, NY.
Anne LoiseauINRA, Centre de Biologie et de Gestion des Populations (UMR INRA IRD Cirad Montpellier SupAgro), Montferrier-Sur-Lez, France.
Isabel Martinez-SañudoDipartimento di Agronomia Animali Alimenti Risorse Naturali e Ambiente, Universita degli Studi di Padova, Padova, Italy.
Marta PascualDepartament de Genètica, Universitat de Barcelona, Barcelona, Spain.
Maxi Polihronakis RichmondDivision of Biological Sciences, University of California San Diego.
Peter ShearerMid-Columbia Agricultural Research and Extension Center, Oregon State University, Hood River, OR.
Nadia SinghDepartment of Genetics, North Carolina State University, Raleigh, NC.
Koichiro TamuraDepartment of Biological Sciences, Tokyo Metropolitan University, Tokyo, Japan.
Anne XuérebINRA, Centre de Biologie et de Gestion des Populations (UMR INRA IRD Cirad Montpellier SupAgro), Montferrier-Sur-Lez, France.
Jinping ZhangMoA-CABI Joint Laboratory for Bio-safety, Chinese Academy of Agricultural Sciences, BeiXiaGuan, Haidian Qu, China.
Arnaud EstoupINRA, Centre de Biologie et de Gestion des Populations (UMR INRA IRD Cirad Montpellier SupAgro), Montferrier-Sur-Lez, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deciphering invasion routes from molecular data is crucial to understanding biological invasions, including identifying bottlenecks in population size and admixture among distinct populations. Here, we unravel the invasion routes of the invasive pest Drosophila suzukii using a multi-locus microsatellite dataset (25 loci on 23 worldwide sampling locations). To do this, we use approximate Bayesian computation (ABC), which has improved the reconstruction of invasion routes, but can be computationally expensive. We use our study to illustrate the use of a new, more efficient, ABC method, ABC random forest (ABC-RF) and compare it to a standard ABC method (ABC-LDA). We find that Japan emerges as the most probable source of the earliest recorded invasion into Hawaii. Southeast China and Hawaii together are the most probable sources of populations in western North America, which then in turn served as sources for those in eastern North America. European populations are genetically more homogeneous than North American populations, and their most probable source is northeast China, with evidence of limited gene flow from the eastern US as well. All introduced populations passed through bottlenecks, and analyses reveal five distinct admixture events. These findings can inform hypotheses concerning how this species evolved between different and independent source and invasive populations. Methodological comparisons indicate that ABC-RF and ABC-LDA show concordant results if ABC-LDA is based on a large number of simulated datasets but that ABC-RF out-performs ABC-LDA when using a comparable and more manageable number of simulated datasets, especially when analyzing complex introduction scenarios.

Indexed as

Bayes TheoremAnimalsChinaComputer SimulationDrosophilaGenetics, PopulationGenetic VariationGenotypeHawaiiIntroduced SpeciesJapanMicrosatellite RepeatsModels, GeneticNorth AmericaPhylogeographyapproximate Bayesian computationDrosophila suzukiiinvasion routespopulation geneticsrandom forest

Identifiers

PMID28122970
PMCPMC5400373

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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.