Unknown

Dataset Information

0

New heuristic methods for joint species delimitation and species tree inference.


ABSTRACT: Species delimitation and species tree inference are difficult problems in cases of recent divergence, especially when different loci have different histories. This paper quantifies the difficulty of jointly finding the division of samples to species and estimating a species tree without constraining the possible assignments a priori. It introduces a parametric and a nonparametric method, including new heuristic search strategies, to do this delimitation and tree inference using individual gene trees as input. The new methods were evaluated using thousands of simulations and 4 empirical data sets. These analyses suggest that the new methods, especially the nonparametric one, may provide useful insights for systematists working at the species level with molecular data. However, they still often return incorrect results.

SUBMITTER: O'Meara BC 

PROVIDER: S-EPMC5841455 | biostudies-literature | 2010 Jan

REPOSITORIES: biostudies-literature

altmetric image

Publications

New heuristic methods for joint species delimitation and species tree inference.

O'Meara Brian C BC  

Systematic biology 20091110 1


Species delimitation and species tree inference are difficult problems in cases of recent divergence, especially when different loci have different histories. This paper quantifies the difficulty of jointly finding the division of samples to species and estimating a species tree without constraining the possible assignments a priori. It introduces a parametric and a nonparametric method, including new heuristic search strategies, to do this delimitation and tree inference using individual gene t  ...[more]

Similar Datasets

| S-EPMC7517042 | biostudies-literature
| S-EPMC7182206 | biostudies-literature
| S-EPMC2700801 | biostudies-other
| S-EPMC6612878 | biostudies-other
2023-04-12 | GSE189788 | GEO
| S-EPMC5850722 | biostudies-literature
| S-EPMC7751180 | biostudies-literature