Data-driven speciation tree prior for better species divergence times in calibration-poor molecular phylogenies | Zendy

Qiqing Tao | Zendy; Jose BarbaMontoya | Zendy; Sudhir Kumar | Zendy

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Data-driven speciation tree prior for better species divergence times in calibration-poor molecular phylogenies

Author(s) -

Qiqing Tao,

Jose BarbaMontoya,

Sudhir Kumar

Publication year - 2021

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btab307

Subject(s) - calibration , tree (set theory) , prior probability , bayesian probability , node (physics) , divergence (linguistics) , computer science , genetic algorithm , phylogenetic tree , tree of life (biology) , statistics , biology , artificial intelligence , ecology , mathematics , physics , mathematical analysis , linguistics , philosophy , biochemistry , quantum mechanics , gene

Precise time calibrations needed to estimate ages of species divergence are not always available due to fossil records' incompleteness. Consequently, clock calibrations available for Bayesian dating analyses can be few and diffused, i.e. phylogenies are calibration-poor, impeding reliable inference of the timetree of life. We examined the role of speciation birth-death (BD) tree prior on Bayesian node age estimates in calibration-poor phylogenies and tested the usefulness of an informative, data-driven tree prior to enhancing the accuracy and precision of estimated times.

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