Literature DB >> 20652704

Identifying the rooted species tree from the distribution of unrooted gene trees under the coalescent.

Elizabeth S Allman1, James H Degnan, John A Rhodes.   

Abstract

Gene trees are evolutionary trees representing the ancestry of genes sampled from multiple populations. Species trees represent populations of individuals-each with many genes-splitting into new populations or species. The coalescent process, which models ancestry of gene copies within populations, is often used to model the probability distribution of gene trees given a fixed species tree. This multispecies coalescent model provides a framework for phylogeneticists to infer species trees from gene trees using maximum likelihood or Bayesian approaches. Because the coalescent models a branching process over time, all trees are typically assumed to be rooted in this setting. Often, however, gene trees inferred by traditional phylogenetic methods are unrooted. We investigate probabilities of unrooted gene trees under the multispecies coalescent model. We show that when there are four species with one gene sampled per species, the distribution of unrooted gene tree topologies identifies the unrooted species tree topology and some, but not all, information in the species tree edges (branch lengths). The location of the root on the species tree is not identifiable in this situation. However, for 5 or more species with one gene sampled per species, we show that the distribution of unrooted gene tree topologies identifies the rooted species tree topology and all its internal branch lengths. The length of any pendant branch leading to a leaf of the species tree is also identifiable for any species from which more than one gene is sampled.

Mesh:

Year:  2010        PMID: 20652704     DOI: 10.1007/s00285-010-0355-7

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  35 in total

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3.  Maximum tree: a consistent estimator of the species tree.

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Journal:  J Math Biol       Date:  2009-03-13       Impact factor: 2.259

Review 4.  Gene tree discordance, phylogenetic inference and the multispecies coalescent.

Authors:  James H Degnan; Noah A Rosenberg
Journal:  Trends Ecol Evol       Date:  2009-03-21       Impact factor: 17.712

5.  The identifiability of covarion models in phylogenetics.

Authors:  Elizabeth S Allman; John A Rhodes
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2009 Jan-Mar       Impact factor: 3.710

6.  Estimating trees from filtered data: identifiability of models for morphological phylogenetics.

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7.  Counting coalescent histories.

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Journal:  J Comput Biol       Date:  2007-04       Impact factor: 1.479

8.  The neighbor-joining method: a new method for reconstructing phylogenetic trees.

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9.  Speciational history of Australian grass finches (Poephila) inferred from thirty gene trees.

Authors:  W Bryan Jennings; Scott V Edwards
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10.  STEM: species tree estimation using maximum likelihood for gene trees under coalescence.

Authors:  Laura S Kubatko; Bryan C Carstens; L Lacey Knowles
Journal:  Bioinformatics       Date:  2009-02-10       Impact factor: 6.937

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  45 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2014-10-29       Impact factor: 11.205

2.  Target-capture phylogenomics provide insights on gene and species tree discordances in Old World treefrogs (Anura: Rhacophoridae).

Authors:  Kin Onn Chan; Carl R Hutter; Perry L Wood; L Lee Grismer; Rafe M Brown
Journal:  Proc Biol Sci       Date:  2020-12-09       Impact factor: 5.349

3.  Split Scores: A Tool to Quantify Phylogenetic Signal in Genome-Scale Data.

Authors:  Elizabeth S Allman; Laura S Kubatko; John A Rhodes
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4.  Species Tree Inference from Gene Splits by Unrooted STAR Methods.

Authors:  Elizabeth S Allman; James H Degnan; John A Rhodes
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2016-08-31       Impact factor: 3.710

Review 5.  Challenges in Species Tree Estimation Under the Multispecies Coalescent Model.

Authors:  Bo Xu; Ziheng Yang
Journal:  Genetics       Date:  2016-12       Impact factor: 4.562

6.  Displayed Trees Do Not Determine Distinguishability Under the Network Multispecies Coalescent.

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7.  Modeling Hybridization Under the Network Multispecies Coalescent.

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8.  Identifying Species Network Features from Gene Tree Quartets Under the Coalescent Model.

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Journal:  Bull Math Biol       Date:  2018-08-09       Impact factor: 1.758

9.  On the Number of Non-equivalent Ancestral Configurations for Matching Gene Trees and Species Trees.

Authors:  Filippo Disanto; Noah A Rosenberg
Journal:  Bull Math Biol       Date:  2017-09-14       Impact factor: 1.758

10.  Split Probabilities and Species Tree Inference Under the Multispecies Coalescent Model.

Authors:  Elizabeth S Allman; James H Degnan; John A Rhodes
Journal:  Bull Math Biol       Date:  2017-11-10       Impact factor: 1.758

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