4.5 Article

Consistency Properties of Species Tree Inference by Minimizing Deep Coalescences

Journal

JOURNAL OF COMPUTATIONAL BIOLOGY
Volume 18, Issue 1, Pages 1-15

Publisher

MARY ANN LIEBERT INC
DOI: 10.1089/cmb.2010.0102

Keywords

algorithms; combinatorial optimization; combinatorics; computational molecular biology; phylogenetic trees

Funding

  1. Burroughs Wellcome Fund
  2. Alfred P. Sloan Foundation
  3. National Science Foundation [DEB-0716904]

Ask authors/readers for more resources

Methods for inferring species trees from sets of gene trees need to account for the possibility of discordance among the gene trees. Assuming that discordance is caused by incomplete lineage sorting, species tree estimates can be obtained by finding those species trees that minimize the number of deep'' coalescence events required for a given collection of gene trees. Efficient algorithms now exist for applying the minimizing-deep-coalescence (MDC) criterion, and simulation experiments have demonstrated its promising performance. However, it has also been noted from simulation results that the MDC criterion is not always guaranteed to infer the correct species tree estimate. In this article, we investigate the consistency of the MDC criterion. Using the multipscies coalescent model, we show that there are indeed anomaly zones for the MDC criterion for asymmetric four-taxon species tree topologies, and for all species tree topologies with five or more taxa.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available