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Species tree inference from genomic sequences using the log-det distance

Authors :
Allman, Elizabeth S.
Long, Colby
Rhodes, John A.
Publication Year :
2018

Abstract

The log-det distance between two aligned DNA sequences was introduced as a tool for statistically consistent inference of a gene tree under simple non-mixture models of sequence evolution. Here we prove that the log-det distance, coupled with a distance-based tree construction method, also permits consistent inference of species trees under mixture models appropriate to aligned genomic-scale sequences data. Data may include sites from many genetic loci, which evolved on different gene trees due to incomplete lineage sorting on an ultrametric species tree, with different time-reversible substitution processes. The simplicity and speed of distance-based inference suggests log-det based methods should serve as benchmarks for judging more elaborate and computationally-intensive species trees inference methods.<br />Comment: 20 pages, 2 figures

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1806.04974
Document Type :
Working Paper