Unknown

Dataset Information

0

Multispecies coalescent and its applications to infer species phylogenies and cross-species gene flow.


ABSTRACT: Multispecies coalescent (MSC) is the extension of the single-population coalescent model to multiple species. It integrates the phylogenetic process of species divergences and the population genetic process of coalescent, and provides a powerful framework for a number of inference problems using genomic sequence data from multiple species, including estimation of species divergence times and population sizes, estimation of species trees accommodating discordant gene trees, inference of cross-species gene flow and species delimitation. In this review, we introduce the major features of the MSC model, discuss full-likelihood and heuristic methods of species tree estimation and summarize recent methodological advances in inference of cross-species gene flow. We discuss the statistical and computational challenges in the field and research directions where breakthroughs may be likely in the next few years.

SUBMITTER: Jiao X 

PROVIDER: S-EPMC8692950 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature

altmetric image

Publications

Multispecies coalescent and its applications to infer species phylogenies and cross-species gene flow.

Jiao Xiyun X   Flouri Tomáš T   Yang Ziheng Z  

National science review 20210715 12


Multispecies coalescent (MSC) is the extension of the single-population coalescent model to multiple species. It integrates the phylogenetic process of species divergences and the population genetic process of coalescent, and provides a powerful framework for a number of inference problems using genomic sequence data from multiple species, including estimation of species divergence times and population sizes, estimation of species trees accommodating discordant gene trees, inference of cross-spe  ...[more]

Similar Datasets

| S-EPMC4856265 | biostudies-literature
| S-EPMC5320999 | biostudies-other
| S-EPMC7259675 | biostudies-literature
| S-EPMC10183998 | biostudies-literature
| S-EPMC6092125 | biostudies-literature
| S-EPMC10622872 | biostudies-literature
| S-EPMC9248896 | biostudies-literature
| S-EPMC7085163 | biostudies-literature
| S-EPMC11372852 | biostudies-literature
| S-EPMC6956792 | biostudies-literature