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Maximum parsimony reconciliation in the DTLOR model

BACKGROUND: Analyses of microbial evolution often use reconciliation methods. However, the standard duplication-transfer-loss (DTL) model does not account for the fact that species trees are often not fully sampled and thus, from the perspective of reconciliation, a gene family may enter the species...

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Autores principales: Liu, Jingyi, Mawhorter, Ross, Liu, Nuo, Santichaivekin, Santi, Bush, Eliot, Libeskind-Hadas, Ran
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8340394/
https://www.ncbi.nlm.nih.gov/pubmed/34348661
http://dx.doi.org/10.1186/s12859-021-04290-6
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author Liu, Jingyi
Mawhorter, Ross
Liu, Nuo
Santichaivekin, Santi
Bush, Eliot
Libeskind-Hadas, Ran
author_facet Liu, Jingyi
Mawhorter, Ross
Liu, Nuo
Santichaivekin, Santi
Bush, Eliot
Libeskind-Hadas, Ran
author_sort Liu, Jingyi
collection PubMed
description BACKGROUND: Analyses of microbial evolution often use reconciliation methods. However, the standard duplication-transfer-loss (DTL) model does not account for the fact that species trees are often not fully sampled and thus, from the perspective of reconciliation, a gene family may enter the species tree from the outside. Moreover, within the genome, genes are often rearranged, causing them to move to new syntenic regions. RESULTS: We extend the DTL model to account for two events that commonly arise in the evolution of microbes: origin of a gene from outside the sampled species tree and rearrangement of gene syntenic regions. We describe an efficient algorithm for maximum parsimony reconciliation in this new DTLOR model and then show how it can be extended to account for non-binary gene trees to handle uncertainty in gene tree topologies. Finally, we describe preliminary experimental results from the integration of our algorithm into the existing xenoGI tool for reconstructing the histories of genomic islands in closely related bacteria. CONCLUSIONS: Reconciliation in the DTLOR model can offer new insights into the evolution of microbes that is not currently possible under the DTL model.
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spelling pubmed-83403942021-08-06 Maximum parsimony reconciliation in the DTLOR model Liu, Jingyi Mawhorter, Ross Liu, Nuo Santichaivekin, Santi Bush, Eliot Libeskind-Hadas, Ran BMC Bioinformatics Research BACKGROUND: Analyses of microbial evolution often use reconciliation methods. However, the standard duplication-transfer-loss (DTL) model does not account for the fact that species trees are often not fully sampled and thus, from the perspective of reconciliation, a gene family may enter the species tree from the outside. Moreover, within the genome, genes are often rearranged, causing them to move to new syntenic regions. RESULTS: We extend the DTL model to account for two events that commonly arise in the evolution of microbes: origin of a gene from outside the sampled species tree and rearrangement of gene syntenic regions. We describe an efficient algorithm for maximum parsimony reconciliation in this new DTLOR model and then show how it can be extended to account for non-binary gene trees to handle uncertainty in gene tree topologies. Finally, we describe preliminary experimental results from the integration of our algorithm into the existing xenoGI tool for reconstructing the histories of genomic islands in closely related bacteria. CONCLUSIONS: Reconciliation in the DTLOR model can offer new insights into the evolution of microbes that is not currently possible under the DTL model. BioMed Central 2021-08-04 /pmc/articles/PMC8340394/ /pubmed/34348661 http://dx.doi.org/10.1186/s12859-021-04290-6 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Liu, Jingyi
Mawhorter, Ross
Liu, Nuo
Santichaivekin, Santi
Bush, Eliot
Libeskind-Hadas, Ran
Maximum parsimony reconciliation in the DTLOR model
title Maximum parsimony reconciliation in the DTLOR model
title_full Maximum parsimony reconciliation in the DTLOR model
title_fullStr Maximum parsimony reconciliation in the DTLOR model
title_full_unstemmed Maximum parsimony reconciliation in the DTLOR model
title_short Maximum parsimony reconciliation in the DTLOR model
title_sort maximum parsimony reconciliation in the dtlor model
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8340394/
https://www.ncbi.nlm.nih.gov/pubmed/34348661
http://dx.doi.org/10.1186/s12859-021-04290-6
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