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Appears in Collections:Biological and Environmental Sciences Journal Articles
Peer Review Status: Refereed
Title: Whole-genome data reveal the complex history of a diverse ecological community
Author(s): Bunnefeld, Lynsey
Hearn, Jack
Stone, Graham N
Lohse, Konrad
Keywords: population genomics
comparative phylogeography
gall wasps
chalcid parasitoids
Western Palearctic
Issue Date: 26-Jun-2018
Citation: Bunnefeld L, Hearn J, Stone GN & Lohse K (2018) Whole-genome data reveal the complex history of a diverse ecological community. Proceedings of the National Academy of Sciences, 115 (28), pp. E6507-E6515.
Abstract: How widespread ecological communities assemble remains a key question in ecology. Trophic interactions between widespread species may reflect a shared population history or ecological fitting of local pools of species with very different population histories. Which scenario applies is central to the stability of trophic associations and the potential for coevolution between species. Here we show how alternative community assembly hypotheses can be discriminated using whole-genome data for component species and provide a likelihood framework that overcomes current limitations in formal comparison of multispecies histories. We illustrate our approach by inferring the assembly history of a Western Palearctic community of insect herbivores and parasitoid natural enemies, trophic groups that together comprise 50% of terrestrial species. We reject models of codispersal from a shared origin and of delayed enemy pursuit of their herbivore hosts, arguing against herbivore attainment of “enemy-free space.” The community-wide distribution of species expansion times is also incompatible with a random, neutral model of assembly. Instead, we reveal a complex assembly history of single- and multispecies range expansions through the Pleistocene from different directions and over a range of timescales. Our results suggest substantial turnover in species associations and argue against tight coevolution in this system. The approach we illustrate is widely applicable to natural communities of nonmodel species and makes it possible to reveal the historical backdrop against which natural selection acts.
DOI Link: 10.1073/pnas.1800334115
Rights: Copyright © 2018 the Author(s). Published by PNAS. This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).
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