4.5 Article

The Probability of Joint Monophyly of Samples of Gene Lineages for All Species in an Arbitrary Species Tree

Journal

JOURNAL OF COMPUTATIONAL BIOLOGY
Volume 29, Issue 7, Pages 679-703

Publisher

MARY ANN LIEBERT, INC
DOI: 10.1089/cmb.2021.0647

Keywords

coalescent; gene tree; monophyly; probability; species tree

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Monophyly is a feature used to evaluate phylogenetic and species range, and the probability of joint monophyly (JM) has been widely used in these evaluations. This study derives the probability of JM for arbitrary numbers of separate groups in arbitrary species trees based on coalescent theory, and investigates the impact of tree height, sample size, and number of species on the JM probability.
Monophyly is a feature of a set of genetic lineages in which every lineage in the set is more closely related to all other members of the set than it is to any lineage outside the set. Multiple sets of lineages that are separately monophyletic are said to be reciprocally monophyletic, or jointly monophyletic. The prevalence of reciprocal monophyly, or joint monophyly (JM), has been used to evaluate phylogenetic and phylogeographic hypotheses, as well as to delimit species. These applications often make use of a probability of JM under models of gene lineage evolution. Studies in coalescent theory have computed this JM probability for small numbers of separate groups in arbitrary species trees and for arbitrary numbers of separate groups in trivial species trees. In this study, generalizing existing results on monophyly probabilities under the multispecies coalescent, we derive the probability of JM for arbitrary numbers of separate groups in arbitrary species trees. We illustrate how our result collapses to previously examined cases. We also study the effect of tree height, sample size, and number of species on the probability of JM. We obtain relatively simple lower and upper bounds on the JM probability. Our results expand the scope of JM calculations beyond small numbers of species, subsuming past formulas that have been used in simpler cases.

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