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/.

Exploring and visualizing spaces of tree reconciliations / Huber, K. T.; Moulton, V.; Sagot, M. -F.; Sinaimeri, Blerina. - In: SYSTEMATIC BIOLOGY. - ISSN 1063-5157. - 68:4(2019), pp. 607-618. [10.1093/sysbio/syy075]

Exploring and visualizing spaces of tree reconciliations

Sinaimeri B.
2019

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/.
2019
Coevolution; Phylogenetic tree; Reconciliation; Reconciliation space; Classification; Host-Parasite Interactions; Models, Biological; Phylogeny
Exploring and visualizing spaces of tree reconciliations / Huber, K. T.; Moulton, V.; Sagot, M. -F.; Sinaimeri, Blerina. - In: SYSTEMATIC BIOLOGY. - ISSN 1063-5157. - 68:4(2019), pp. 607-618. [10.1093/sysbio/syy075]
File in questo prodotto:
File Dimensione Formato  
exploring_riconciliaitons.pdf

Solo gestori archivio

Tipologia: Documento in Post-print
Licenza: DRM (Digital rights management) non definiti
Dimensione 1.11 MB
Formato Adobe PDF
1.11 MB Adobe PDF   Visualizza/Apri
Pubblicazioni consigliate

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11385/202525
Citazioni
  • Scopus 9
  • ???jsp.display-item.citation.isi??? 6
social impact