Literature DB >> 35544237

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

Rohan S Mehta1, Mike Steel2, Noah A Rosenberg3.   

Abstract

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.

Entities:  

Keywords:  coalescent; gene tree; monophyly; probability; species tree

Mesh:

Year:  2022        PMID: 35544237      PMCID: PMC9464369          DOI: 10.1089/cmb.2021.0647

Source DB:  PubMed          Journal:  J Comput Biol        ISSN: 1066-5277            Impact factor:   1.549


  27 in total

1.  Mathematical consequences of the genealogical species concept.

Authors:  Richard R Hudson; Jerry A Coyne
Journal:  Evolution       Date:  2002-08       Impact factor: 3.694

2.  Coalescent-based species tree inference from gene tree topologies under incomplete lineage sorting by maximum likelihood.

Authors:  Yufeng Wu
Journal:  Evolution       Date:  2011-11-02       Impact factor: 3.694

3.  Whole-Genome Analyses Resolve the Phylogeny of Flightless Birds (Palaeognathae) in the Presence of an Empirical Anomaly Zone.

Authors:  Alison Cloutier; Timothy B Sackton; Phil Grayson; Michele Clamp; Allan J Baker; Scott V Edwards
Journal:  Syst Biol       Date:  2019-11-01       Impact factor: 15.683

4.  Integrating coalescent and ecological niche modeling in comparative phylogeography.

Authors:  Bryan C Carstens; Corinne L Richards
Journal:  Evolution       Date:  2007-06       Impact factor: 3.694

5.  Estimating species phylogeny from gene-tree probabilities despite incomplete lineage sorting: an example from Melanoplus grasshoppers.

Authors:  Bryan C Carstens; L Lacey Knowles
Journal:  Syst Biol       Date:  2007-06       Impact factor: 15.683

6.  A two-stage pruning algorithm for likelihood computation for a population tree.

Authors:  Arindam RoyChoudhury; Joseph Felsenstein; Elizabeth A Thompson
Journal:  Genetics       Date:  2008-09-09       Impact factor: 4.562

7.  Evolutionary trees from DNA sequences: a maximum likelihood approach.

Authors:  J Felsenstein
Journal:  J Mol Evol       Date:  1981       Impact factor: 2.395

8.  Phylogeny, divergence-time estimation, biogeography and social parasite-host relationships of the Holarctic ant genus Myrmica (Hymenoptera: Formicidae).

Authors:  Gunther Jansen; Riitta Savolainen; Kari Vepsäläinen
Journal:  Mol Phylogenet Evol       Date:  2010-02-14       Impact factor: 4.286

9.  The probability of reciprocal monophyly of gene lineages in three and four species.

Authors:  Rohan S Mehta; Noah A Rosenberg
Journal:  Theor Popul Biol       Date:  2018-05-03       Impact factor: 1.570

10.  A polynomial time algorithm for calculating the probability of a ranked gene tree given a species tree.

Authors:  Tanja Stadler; James H Degnan
Journal:  Algorithms Mol Biol       Date:  2012-04-30       Impact factor: 1.405

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