Polynomial-Time Statistical Estimation of Species Trees Under Gene Duplication and Loss.
J Comput Biol
; 28(5): 452-468, 2021 05.
Article
em En
| MEDLINE
| ID: mdl-33325781
ABSTRACT
Phylogenomics-the estimation of species trees from multilocus data sets-is a common step in many biological studies. However, this estimation is challenged by the fact that genes can evolve under processes, including incomplete lineage sorting (ILS) and gene duplication and loss (GDL), that make their trees different from the species tree. In this article, we address the challenge of estimating the species tree under GDL. We show that species trees are identifiable under a standard stochastic model for GDL, and that the polynomial-time algorithm ASTRAL-multi, a recent development in the ASTRAL suite of methods, is statistically consistent under this GDL model. We also provide a simulation study evaluating ASTRAL-multi for species tree estimation under GDL.
Palavras-chave
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Deleção de Genes
/
Biologia Computacional
/
Duplicação Gênica
Idioma:
En
Revista:
J Comput Biol
Assunto da revista:
BIOLOGIA MOLECULAR
/
INFORMATICA MEDICA
Ano de publicação:
2021
Tipo de documento:
Article
País de afiliação:
Estados Unidos
País de publicação:
EEUU
/
ESTADOS UNIDOS
/
ESTADOS UNIDOS DA AMERICA
/
EUA
/
UNITED STATES
/
UNITED STATES OF AMERICA
/
US
/
USA