期刊论文详细信息
Frontiers in Bioinformatics
Molecular timetrees using relaxed clocks and uncertain phylogenies
Bioinformatics
Sudip Sharma1  Jose Barba-Montoya1  Sudhir Kumar1 
[1] Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA, United States;Department of Biology, Temple University, Philadelphia, PA, United States;
关键词: relaxed molecular clock;    phylogenetic uncertainty;    phylogenomics;    bootstrap;    timetree;   
DOI  :  10.3389/fbinf.2023.1225807
 received in 2023-05-19, accepted in 2023-07-21,  发布年份 2023
来源: Frontiers
PDF
【 摘 要 】

A common practice in molecular systematics is to infer phylogeny and then scale it to time by using a relaxed clock method and calibrations. This sequential analysis practice ignores the effect of phylogenetic uncertainty on divergence time estimates and their confidence/credibility intervals. An alternative is to infer phylogeny and times jointly to incorporate phylogenetic errors into molecular dating. We compared the performance of these two alternatives in reconstructing evolutionary timetrees using computer-simulated and empirical datasets. We found sequential and joint analyses to produce similar divergence times and phylogenetic relationships, except for some nodes in particular cases. The joint inference performed better when the phylogeny was not well resolved, situations in which the joint inference should be preferred. However, joint inference can be infeasible for large datasets because available Bayesian methods are computationally burdensome. We present an alternative approach for joint inference that combines the bag of little bootstraps, maximum likelihood, and RelTime approaches for simultaneously inferring evolutionary relationships, divergence times, and confidence intervals, incorporating phylogeny uncertainty. The new method alleviates the high computational burden imposed by Bayesian methods while achieving a similar result.

【 授权许可】

Unknown   
Copyright © 2023 Barba-Montoya, Sharma and Kumar.

【 预 览 】
附件列表
Files Size Format View
RO202310108637373ZK.pdf 3398KB PDF download
  文献评价指标  
  下载次数:3次 浏览次数:0次