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bioRxiv · 10.1101/2020.10.19.346429

Phylostems: a new graphical tool to investigate temporal signal of heterochronous sequences at various evolutionary scales

Abstract

O_LIMolecular tip-dating of phylogenetic trees is a growing discipline that uses DNA sequences sampled at different points in time to co-estimate the timing of evolutionary events with rates of molecular evolution. Such inferences should only be performed when there is sufficient temporal signal within the analysed dataset. Hence, it is important for researchers to be able to test their dataset for the amount and consistency of temporal signal prior to any tip-dating inference. For this purpose, the most popular method considered to-date has been the "root-to-tip regression" which consist in fitting a linear regression of the number of substitutions accumulated from the root to the tips of a phylogenetic tree as a function of sampling times. The main limitation of the regression method, in its current implementation, relies in the fact that the temporal signal can only be tested at the whole-tree evolutionary scale. C_LIO_LITo fill this methodological gap, we introduce phylostems, a new graphical and user-friendly tool developed to investigate temporal signal at every evolutionary scale of a phylogenetic tree. C_LIO_LIPhylostems allows detecting without a priori whether any subset of a tree would contain sufficient temporal signal for tip-based inference to be performed. We provide a "how to" guide by running phylostems on empirical datasets and supply guidance for results interpretation. Phylostems is freely available at https://pvbmt-apps.cirad.fr/apps/phylostems. C_LIO_LIConsidering the impressive increase in availability and use of heterochronous datasets, we hope the new functionality provided by phylostems will help biologists to perform thorough tip-dating inferences. C_LI

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BibTeXRIS

Doizy, A., Prin, A., RIEUX, A., Cornu, G., Chiroleu, F.. 2020-10-21. Phylostems: a new graphical tool to investigate temporal signal of heterochronous sequences at various evolutionary scales. https://doi.org/10.1101/2020.10.19.346429

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