Renewing Felsenstein's phylogenetic bootstrap in the era of big data.

Abstract:

:Felsenstein's application of the bootstrap method to evolutionary trees is one of the most cited scientific papers of all time. The bootstrap method, which is based on resampling and replications, is used extensively to assess the robustness of phylogenetic inferences. However, increasing numbers of sequences are now available for a wide variety of species, and phylogenies based on hundreds or thousands of taxa are becoming routine. With phylogenies of this size Felsenstein's bootstrap tends to yield very low supports, especially on deep branches. Here we propose a new version of the phylogenetic bootstrap in which the presence of inferred branches in replications is measured using a gradual 'transfer' distance rather than the binary presence or absence index used in Felsenstein's original version. The resulting supports are higher and do not induce falsely supported branches. The application of our method to large mammal, HIV and simulated datasets reveals their phylogenetic signals, whereas Felsenstein's bootstrap fails to do so.

journal_name

Nature

journal_title

Nature

authors

Lemoine F,Domelevo Entfellner JB,Wilkinson E,Correia D,Dávila Felipe M,De Oliveira T,Gascuel O

doi

10.1038/s41586-018-0043-0

subject

Has Abstract

pub_date

2018-04-01 00:00:00

pages

452-456

issue

7702

eissn

0028-0836

issn

1476-4687

pii

10.1038/s41586-018-0043-0

journal_volume

556

pub_type

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