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dc.contributor.authorHolland, Barbara R.
dc.contributor.authorBenthin, Steffi
dc.contributor.authorLockhart, Peter J.
dc.contributor.authorMoulton, Vincent
dc.contributor.authorHuber, Katharina T.
dc.date.accessioned2010-10-07T04:46:28Z
dc.date.accessioned2016-03-06T22:26:00Z
dc.date.accessioned2016-09-07T13:57:45Z
dc.date.availableNO_RESTRICTIONen_US
dc.date.available2010-10-07T04:46:28Z
dc.date.available2016-03-06T22:26:00Z
dc.date.available2016-09-07T13:57:45Z
dc.date.issued2008-07-14
dc.identifier.citationHolland, B. R., Benthin, S., Lockhart, P. J., Moulton, V., & Huber, K. T. (2008). Using supernetworks to distinguish hybridization from lineage-sorting. Bmc Evolutionary Biology, 8(202). doi: 10.1186/1471-2148-8-202en_US
dc.identifier.urihttp://hdl.handle.net/10179/9704
dc.description.abstractBackground: A simple and widely used approach for detecting hybridization in phylogenies is to reconstruct gene trees from independent gene loci, and to look for gene tree incongruence. However, this approach may be confounded by factors such as poor taxon-sampling and/or incomplete lineage-sorting. Results: Using coalescent simulations, we investigated the potential of supernetwork methods to differentiate between gene tree incongruence arising from taxon sampling and incomplete lineagesorting as opposed to hybridization. For few hybridization events, a large number of independent loci, and well-sampled taxa across these loci, we found that it was possible to distinguish incomplete lineage-sorting from hybridization using the filtered Z-closure and Q-imputation supernetwork methods. Moreover, we found that the choice of supernetwork method was less important than the choice of filtering, and that count-based filtering was the most effective filtering technique. Conclusion: Filtered supernetworks provide a tool for detecting and identifying hybridization events in phylogenies, a tool that should become increasingly useful in light of current genome sequencing initiatives and the ease with which large numbers of independent gene loci can be determined using new generation sequencing technologies.en_US
dc.language.isoenen_US
dc.publisherBiomed Centralen_US
dc.relation.isformatofhttp://www.biomedcentral.com/1471-2148/8/202en_US
dc.relation.isbasedonBiomed Centralen_US
dc.rights2008 Holland et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
dc.subjectSimulationen_US
dc.subjectHybridisationen_US
dc.subjectGenesen_US
dc.subjectSequencingen_US
dc.subject.otherFields of Research::230000 Mathematical Sciences::239900 Other Mathematical Sciences::239901 Biological Mathematicsen_US
dc.titleUsing supernetworks to distinguish hybridization from lineage-sortingen_US
dc.typeJournal Articleen_US
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