Literature DB >> 25791286

Identifiability of the unrooted species tree topology under the coalescent model with time-reversible substitution processes, site-specific rate variation, and invariable sites.

Julia Chifman1, Laura Kubatko2.   

Abstract

The inference of the evolutionary history of a collection of organisms is a problem of fundamental importance in evolutionary biology. The abundance of DNA sequence data arising from genome sequencing projects has led to significant challenges in the inference of these phylogenetic relationships. Among these challenges is the inference of the evolutionary history of a collection of species based on sequence information from several distinct genes sampled throughout the genome. It is widely accepted that each individual gene has its own phylogeny, which may not agree with the species tree. Many possible causes of this gene tree incongruence are known. The best studied is the incomplete lineage sorting, which is commonly modeled by the coalescent process. Numerous methods based on the coalescent process have been proposed for the estimation of the phylogenetic species tree given DNA sequence data. However, use of these methods assumes that the phylogenetic species tree can be identified from DNA sequence data at the leaves of the tree, although this has not been formally established. We prove that the unrooted topology of the n-leaf phylogenetic species tree is generically identifiable given observed data at the leaves of the tree that are assumed to have arisen from the coalescent process under a time-reversible substitution process with the possibility of site-specific rate variation modeled by the discrete gamma distribution and a proportion of invariable sites. Published by Elsevier Ltd.

Keywords:  Algebraic statistics; Identifiability; Phylogenetics

Mesh:

Substances:

Year:  2015        PMID: 25791286     DOI: 10.1016/j.jtbi.2015.03.006

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  48 in total

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

Authors:  Elizabeth S Allman; Laura S Kubatko; John A Rhodes
Journal:  Syst Biol       Date:  2017-07-01       Impact factor: 15.683

2.  RENT+: an improved method for inferring local genealogical trees from haplotypes with recombination.

Authors:  Sajad Mirzaei; Yufeng Wu
Journal:  Bioinformatics       Date:  2017-04-01       Impact factor: 6.937

Review 3.  Challenges in Species Tree Estimation Under the Multispecies Coalescent Model.

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

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

Authors:  Sha Zhu; James H Degnan
Journal:  Syst Biol       Date:  2017-03-01       Impact factor: 15.683

5.  Phylogenomic Signatures of Ancient Introgression in a Rogue Lineage of Darters (Teleostei: Percidae).

Authors:  Daniel J MacGuigan; Thomas J Near
Journal:  Syst Biol       Date:  2019-03-01       Impact factor: 15.683

6.  Modeling Hybridization Under the Network Multispecies Coalescent.

Authors:  James H Degnan
Journal:  Syst Biol       Date:  2018-09-01       Impact factor: 15.683

7.  Quartet inference from SNP data under the coalescent model.

Authors:  Julia Chifman; Laura Kubatko
Journal:  Bioinformatics       Date:  2014-08-07       Impact factor: 6.937

8.  Geogenetic patterns in mouse lemurs (genus Microcebus) reveal the ghosts of Madagascar's forests past.

Authors:  Anne D Yoder; C Ryan Campbell; Marina B Blanco; Mario Dos Reis; Jörg U Ganzhorn; Steven M Goodman; Kelsie E Hunnicutt; Peter A Larsen; Peter M Kappeler; Rodin M Rasoloarison; José M Ralison; David L Swofford; David W Weisrock
Journal:  Proc Natl Acad Sci U S A       Date:  2016-07-19       Impact factor: 11.205

9.  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

10.  Whole-genome sequences of Malawi cichlids reveal multiple radiations interconnected by gene flow.

Authors:  Milan Malinsky; Hannes Svardal; Alexandra M Tyers; Eric A Miska; Martin J Genner; George F Turner; Richard Durbin
Journal:  Nat Ecol Evol       Date:  2018-11-19       Impact factor: 15.460

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