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Biologically feasible gene trees, reconciliation maps and informative triples
BACKGROUND: The history of gene families—which are equivalent to event-labeled gene trees—can be reconstructed from empirically estimated evolutionary event-relations containing pairs of orthologous, paralogous or xenologous genes. The question then arises as whether inferred event-labeled gene tree...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2017
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5576477/ https://www.ncbi.nlm.nih.gov/pubmed/28861118 http://dx.doi.org/10.1186/s13015-017-0114-z |
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author | Hellmuth, Marc |
author_facet | Hellmuth, Marc |
author_sort | Hellmuth, Marc |
collection | PubMed |
description | BACKGROUND: The history of gene families—which are equivalent to event-labeled gene trees—can be reconstructed from empirically estimated evolutionary event-relations containing pairs of orthologous, paralogous or xenologous genes. The question then arises as whether inferred event-labeled gene trees are biologically feasible, that is, if there is a possible true history that would explain a given gene tree. In practice, this problem is boiled down to finding a reconciliation map—also known as DTL-scenario—between the event-labeled gene trees and a (possibly unknown) species tree. RESULTS: In this contribution, we first characterize whether there is a valid reconciliation map for binary event-labeled gene trees T that contain speciation, duplication and horizontal gene transfer events and some unknown species tree S in terms of “informative” triples that are displayed in T and provide information of the topology of S. These informative triples are used to infer the unknown species tree S for T. We obtain a similar result for non-binary gene trees. To this end, however, the reconciliation map needs to be further restricted. We provide a polynomial-time algorithm to decide whether there is a species tree for a given event-labeled gene tree, and in the positive case, to construct the species tree and the respective (restricted) reconciliation map. However, informative triples as well as DTL-scenarios have their limitations when they are used to explain the biological feasibility of gene trees. While reconciliation maps imply biological feasibility, we show that the converse is not true in general. Moreover, we show that informative triples neither provide enough information to characterize “relaxed” DTL-scenarios nor non-restricted reconciliation maps for non-binary biologically feasible gene trees. |
format | Online Article Text |
id | pubmed-5576477 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-55764772017-08-31 Biologically feasible gene trees, reconciliation maps and informative triples Hellmuth, Marc Algorithms Mol Biol Research BACKGROUND: The history of gene families—which are equivalent to event-labeled gene trees—can be reconstructed from empirically estimated evolutionary event-relations containing pairs of orthologous, paralogous or xenologous genes. The question then arises as whether inferred event-labeled gene trees are biologically feasible, that is, if there is a possible true history that would explain a given gene tree. In practice, this problem is boiled down to finding a reconciliation map—also known as DTL-scenario—between the event-labeled gene trees and a (possibly unknown) species tree. RESULTS: In this contribution, we first characterize whether there is a valid reconciliation map for binary event-labeled gene trees T that contain speciation, duplication and horizontal gene transfer events and some unknown species tree S in terms of “informative” triples that are displayed in T and provide information of the topology of S. These informative triples are used to infer the unknown species tree S for T. We obtain a similar result for non-binary gene trees. To this end, however, the reconciliation map needs to be further restricted. We provide a polynomial-time algorithm to decide whether there is a species tree for a given event-labeled gene tree, and in the positive case, to construct the species tree and the respective (restricted) reconciliation map. However, informative triples as well as DTL-scenarios have their limitations when they are used to explain the biological feasibility of gene trees. While reconciliation maps imply biological feasibility, we show that the converse is not true in general. Moreover, we show that informative triples neither provide enough information to characterize “relaxed” DTL-scenarios nor non-restricted reconciliation maps for non-binary biologically feasible gene trees. BioMed Central 2017-08-29 /pmc/articles/PMC5576477/ /pubmed/28861118 http://dx.doi.org/10.1186/s13015-017-0114-z Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Hellmuth, Marc Biologically feasible gene trees, reconciliation maps and informative triples |
title | Biologically feasible gene trees, reconciliation maps and informative triples |
title_full | Biologically feasible gene trees, reconciliation maps and informative triples |
title_fullStr | Biologically feasible gene trees, reconciliation maps and informative triples |
title_full_unstemmed | Biologically feasible gene trees, reconciliation maps and informative triples |
title_short | Biologically feasible gene trees, reconciliation maps and informative triples |
title_sort | biologically feasible gene trees, reconciliation maps and informative triples |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5576477/ https://www.ncbi.nlm.nih.gov/pubmed/28861118 http://dx.doi.org/10.1186/s13015-017-0114-z |
work_keys_str_mv | AT hellmuthmarc biologicallyfeasiblegenetreesreconciliationmapsandinformativetriples |