Literature DB >> 28913585

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

Filippo Disanto1,2, Noah A Rosenberg3.   

Abstract

An ancestral configuration is one of the combinatorially distinct sets of gene lineages that, for a given gene tree, can reach a given node of a specified species tree. Ancestral configurations have appeared in recursive algebraic computations of the conditional probability that a gene tree topology is produced under the multispecies coalescent model for a given species tree. For matching gene trees and species trees, we study the number of ancestral configurations, considered up to an equivalence relation introduced by Wu (Evolution 66:763-775, 2012) to reduce the complexity of the recursive probability computation. We examine the largest number of non-equivalent ancestral configurations possible for a given tree size n. Whereas the smallest number of non-equivalent ancestral configurations increases polynomially with n, we show that the largest number increases with [Formula: see text], where k is a constant that satisfies [Formula: see text]. Under a uniform distribution on the set of binary labeled trees with a given size n, the mean number of non-equivalent ancestral configurations grows exponentially with n. The results refine an earlier analysis of the number of ancestral configurations considered without applying the equivalence relation, showing that use of the equivalence relation does not alter the exponential nature of the increase with tree size.

Entities:  

Keywords:  Ancestral configurations; Combinatorics; Gene trees and species trees; Phylogenetics

Mesh:

Year:  2017        PMID: 28913585      PMCID: PMC5851864          DOI: 10.1007/s11538-017-0342-x

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


  10 in total

1.  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

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

Authors:  Elizabeth S Allman; James H Degnan; John A Rhodes
Journal:  J Math Biol       Date:  2010-07-23       Impact factor: 2.259

3.  Gene tree distributions under the coalescent process.

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

4.  Confounding factors in HGT detection: statistical error, coalescent effects, and multiple solutions.

Authors:  Cuong Than; Derek Ruths; Hideki Innan; Luay Nakhleh
Journal:  J Comput Biol       Date:  2007-05       Impact factor: 1.479

5.  Coalescent histories for discordant gene trees and species trees.

Authors:  Noah A Rosenberg; James H Degnan
Journal:  Theor Popul Biol       Date:  2010-01-11       Impact factor: 1.570

6.  Counting coalescent histories.

Authors:  Noah A Rosenberg
Journal:  J Comput Biol       Date:  2007-04       Impact factor: 1.479

7.  Coalescent Histories for Lodgepole Species Trees.

Authors:  Filippo Disanto; Noah A Rosenberg
Journal:  J Comput Biol       Date:  2015-05-14       Impact factor: 1.479

8.  Enumeration of Ancestral Configurations for Matching Gene Trees and Species Trees.

Authors:  Filippo Disanto; Noah A Rosenberg
Journal:  J Comput Biol       Date:  2017-04-24       Impact factor: 1.479

9.  Coalescent histories for caterpillar-like families.

Authors:  Noah A Rosenberg
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2013 Sep-Oct       Impact factor: 3.710

10.  Asymptotic Properties of the Number of Matching Coalescent Histories for Caterpillar-Like Families of Species Trees.

Authors:  Filippo Disanto; Noah A Rosenberg
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2015-10-05       Impact factor: 3.710

  10 in total
  3 in total

1.  Enumeration of compact coalescent histories for matching gene trees and species trees.

Authors:  Filippo Disanto; Noah A Rosenberg
Journal:  J Math Biol       Date:  2018-08-16       Impact factor: 2.259

2.  Counting and sampling gene family evolutionary histories in the duplication-loss and duplication-loss-transfer models.

Authors:  Cedric Chauve; Yann Ponty; Michael Wallner
Journal:  J Math Biol       Date:  2020-02-15       Impact factor: 2.259

3.  On the Colijn-Plazzotta numbering scheme for unlabeled binary rooted trees.

Authors:  Noah A Rosenberg
Journal:  Discrete Appl Math       Date:  2020-12-18       Impact factor: 1.139

  3 in total

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