Incorporating the speciation process into species delimitation
dc.contributor.author | Sukumaran, Jeet | |
dc.contributor.author | Holder, Mark T. | |
dc.contributor.author | Knowles, L. Lacey | |
dc.date.accessioned | 2022-01-05T18:47:35Z | |
dc.date.available | 2022-01-05T18:47:35Z | |
dc.date.issued | 2021-05-13 | |
dc.identifier.citation | Sukumaran, J., Holder, M. T., & Knowles, L. L. (2021). Incorporating the speciation process into species delimitation. PLoS computational biology, 17(5), e1008924. https://doi.org/10.1371/journal.pcbi.1008924. | en_US |
dc.identifier.uri | http://hdl.handle.net/1808/32336 | |
dc.description.abstract | The “multispecies” coalescent (MSC) model that underlies many genomic species-delimitation approaches is problematic because it does not distinguish between genetic structure associated with species versus that of populations within species. Consequently, as both the genomic and spatial resolution of data increases, a proliferation of artifactual species results as within-species population lineages, detected due to restrictions in gene flow, are identified as distinct species. The toll of this extends beyond systematic studies, getting magnified across the many disciplines that rely upon an accurate framework of identified species. Here we present the first of a new class of approaches that addresses this issue by incorporating an extended speciation process for species delimitation. We model the formation of population lineages and their subsequent development into independent species as separate processes and provide for a way to incorporate current understanding of the species boundaries in the system through specification of species identities of a subset of population lineages. As a result, species boundaries and within-species lineages boundaries can be discriminated across the entire system, and species identities can be assigned to the remaining lineages of unknown affinities with quantified probabilities. In addition to the identification of species units in nature, the primary goal of species delimitation, the incorporation of a speciation model also allows us insights into the links between population and species-level processes. By explicitly accounting for restrictions in gene flow not only between, but also within, species, we also address the limits of genetic data for delimiting species. Specifically, while genetic data alone is not sufficient for accurate delimitation, when considered in conjunction with other information we are able to not only learn about species boundaries, but also about the tempo of the speciation process itself. | en_US |
dc.publisher | Public Library of Science | en_US |
dc.rights | © 2021 Sukumaran et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. | en_US |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en_US |
dc.title | Incorporating the speciation process into species delimitation | en_US |
dc.type | Article | en_US |
kusw.kuauthor | Holder, Mark T. | |
kusw.kudepartment | Ecology and Evolutionary Biology | en_US |
kusw.oanotes | Per Sherpa Romeo 01/05/2021:PLoS Computational Biology [Open panel below]Publication Information TitlePLoS Computational Biology [English] ISSNs Print: 1553-734X Electronic: 1553-7358 URLhttp://www.ploscompbiol.org/ Publishers Public Library of Science [Commercial Publisher] International Society for Computational Biology (ISCB) [Associate Organisation] DOAJ Listinghttps://doaj.org/toc/1553-734X Requires APCYes [Data provided by DOAJ] [Open panel below]Publisher Policy Open Access pathways permitted by this journal's policy are listed below by article version. Click on a pathway for a more detailed view.Published Version NoneCC BYPMC Any Website, Journal Website, +1 OA PublishingThis pathway includes Open Access publishing EmbargoNo Embargo LicenceCC BY 4.0 Copyright OwnerAuthors Publisher DepositPubMed Central Location Any Website Named Repository (PubMed Central) Journal Website ConditionsPublished source must be acknowledged with citation | en_US |
dc.identifier.doi | 10.1371/journal.pcbi.1008924 | en_US |
dc.identifier.orcid | https://orcid.org/ 0000-0002-9222-9608 | en_US |
kusw.oaversion | Scholarly/refereed, publisher version | en_US |
kusw.oapolicy | This item meets KU Open Access policy criteria. | en_US |
dc.identifier.pmid | PMC8118268 | en_US |
dc.rights.accessrights | openAccess | en_US |
Files in this item
This item appears in the following Collection(s)
Except where otherwise noted, this item's license is described as: © 2021 Sukumaran et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.