Literature DB >> 29127546

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

Elizabeth S Allman1, James H Degnan2, John A Rhodes3.   

Abstract

Using topological summaries of gene trees as a basis for species tree inference is a promising approach to obtain acceptable speed on genomic-scale datasets, and to avoid some undesirable modeling assumptions. Here we study the probabilities of splits on gene trees under the multispecies coalescent model, and how their features might inform species tree inference. After investigating the behavior of split consensus methods, we investigate split invariants-that is, polynomial relationships between split probabilities. These invariants are then used to show that, even though a split is an unrooted notion, split probabilities retain enough information to identify the rooted species tree topology for trees of 5 or more taxa, with one possible 6-taxon exception.

Entities:  

Keywords:  Multispecies coalescent model; Species tree identifiability; Split probability

Mesh:

Year:  2017        PMID: 29127546      PMCID: PMC5766424          DOI: 10.1007/s11538-017-0363-5

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  21 in total

1.  Properties of consensus methods for inferring species trees from gene trees.

Authors:  James H Degnan; Michael DeGiorgio; David Bryant; Noah A Rosenberg
Journal:  Syst Biol       Date:  2009-06-04       Impact factor: 15.683

2.  Estimating species phylogenies using coalescence times among sequences.

Authors:  Liang Liu; Lili Yu; Dennis K Pearl; Scott V Edwards
Journal:  Syst Biol       Date:  2009-07-16       Impact factor: 15.683

3.  BUCKy: gene tree/species tree reconciliation with Bayesian concordance analysis.

Authors:  Bret R Larget; Satish K Kotha; Colin N Dewey; Cécile Ané
Journal:  Bioinformatics       Date:  2010-09-21       Impact factor: 6.937

4.  Gene tree distributions under the coalescent process.

Authors:  James H Degnan; Laura A Salter
Journal:  Evolution       Date:  2005-01       Impact factor: 3.694

5.  Species trees from gene trees: reconstructing Bayesian posterior distributions of a species phylogeny using estimated gene tree distributions.

Authors:  Liang Liu; Dennis K Pearl
Journal:  Syst Biol       Date:  2007-06       Impact factor: 15.683

6.  Estimating species trees from unrooted gene trees.

Authors:  Liang Liu; Lili Yu
Journal:  Syst Biol       Date:  2011-03-28       Impact factor: 15.683

7.  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

8.  MrBayes 3.2: efficient Bayesian phylogenetic inference and model choice across a large model space.

Authors:  Fredrik Ronquist; Maxim Teslenko; Paul van der Mark; Daniel L Ayres; Aaron Darling; Sebastian Höhna; Bret Larget; Liang Liu; Marc A Suchard; John P Huelsenbeck
Journal:  Syst Biol       Date:  2012-02-22       Impact factor: 15.683

9.  Bayesian inference of species trees from multilocus data.

Authors:  Joseph Heled; Alexei J Drummond
Journal:  Mol Biol Evol       Date:  2009-11-11       Impact factor: 16.240

10.  ASTRID: Accurate Species TRees from Internode Distances.

Authors:  Pranjal Vachaspati; Tandy Warnow
Journal:  BMC Genomics       Date:  2015-10-02       Impact factor: 3.969

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  2 in total

1.  OCTAL: Optimal Completion of gene trees in polynomial time.

Authors:  Sarah Christensen; Erin K Molloy; Pranjal Vachaspati; Tandy Warnow
Journal:  Algorithms Mol Biol       Date:  2018-03-15       Impact factor: 1.405

2.  Quartet-Based Inference is Statistically Consistent Under the Unified Duplication-Loss-Coalescence Model.

Authors:  Alexey Markin; Oliver Eulenstein
Journal:  Bioinformatics       Date:  2021-05-28       Impact factor: 6.931

  2 in total

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