Literature DB >> 30418649

Exploring and Visualizing Spaces of Tree Reconciliations.

Katharina T Huber1, Vincent Moulton1, Marie-France Sagot2,3,4, Blerina Sinaimeri2,3,4.   

Abstract

Tree reconciliation is the mathematical tool that is used to investigate the coevolution of organisms, such as hosts and parasites. A common approach to tree reconciliation involves specifying a model that assigns costs to certain events, such as cospeciation, and then tries to find a mapping between two specified phylogenetic trees which minimizes the total cost of the implied events. For such models, it has been shown that there may be a huge number of optimal solutions, or at least solutions that are close to optimal. It is therefore of interest to be able to systematically compare and visualize whole collections of reconciliations between a specified pair of trees. In this article, we consider various metrics on the set of all possible reconciliations between a pair of trees, some that have been defined before but also new metrics that we shall propose. We show that the diameter for the resulting spaces of reconciliations can in some cases be determined theoretically, information that we use to normalize and compare properties of the metrics. We also implement the metrics and compare their behavior on several host parasite data sets, including the shapes of their distributions. In addition, we show that in combination with multidimensional scaling, the metrics can be useful for visualizing large collections of reconciliations, much in the same way as phylogenetic tree metrics can be used to explore collections of phylogenetic trees. Implementations of the metrics can be downloaded from: https://team.inria.fr/erable/en/team-members/blerina-sinaimeri/reconciliation-distances/.
© The Author(s) 2018. Published by Oxford University Press, on behalf of the Society of Systematic Biologists. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Keywords:  Coevolution; phylogenetic tree; reconciliation; reconciliation space

Mesh:

Year:  2019        PMID: 30418649     DOI: 10.1093/sysbio/syy075

Source DB:  PubMed          Journal:  Syst Biol        ISSN: 1063-5157            Impact factor:   15.683


  3 in total

1.  Efficiently sparse listing of classes of optimal cophylogeny reconciliations.

Authors:  Yishu Wang; Arnaud Mary; Marie-France Sagot; Blerina Sinaimeri
Journal:  Algorithms Mol Biol       Date:  2022-02-15       Impact factor: 1.405

2.  Hierarchical clustering of maximum parsimony reconciliations.

Authors:  Ross Mawhorter; Ran Libeskind-Hadas
Journal:  BMC Bioinformatics       Date:  2019-11-27       Impact factor: 3.169

3.  An efficient exact algorithm for computing all pairwise distances between reconciliations in the duplication-transfer-loss model.

Authors:  Santi Santichaivekin; Ross Mawhorter; Ran Libeskind-Hadas
Journal:  BMC Bioinformatics       Date:  2019-12-17       Impact factor: 3.169

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.