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

Molecular Biology and Evolution
Antoine FraimoutArnaud Estoup

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 admix...Continue Reading

Citations

Mar 14, 2017·Current Biology : CB·Marianthi KarageorgiBenjamin Prud'homme
Aug 1, 2019·Anais Da Academia Brasileira De Ciências·Vera Lúcia DA Silva Valente-Gaiesky
Feb 14, 2018·Proceedings. Biological Sciences·Petr KotlíkJeremy B Searle
Mar 6, 2018·Molecular Ecology Resources·Marine S O BrieucKerry A Naish
Sep 17, 2020·Proceedings. Biological Sciences·Neftalí SilleroM Pascual
Jul 11, 2018·The Journal of Experimental Biology·Antoine FraimoutVincent Debat

Related Concepts

Metazoa
Bayesian Prediction
In Silico
Drosophila
Genetics, Population
Variation (Genetics)
Tetranucleotide Repeats
Introduced Species
Phylogeography
Location

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