The Time to Most Recent Common Ancestor Does Not (Usually) Approximate the Date of Divergence.

With the advent of more sophisticated models and increase in computational power, an ever-growing amount of information can be extracted from DNA sequence data. In particular, recent advances have allowed researchers to estimate the date of historical events for a group of interest including time to...

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Main Author: James B Pettengill
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2015-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC4537086?pdf=render
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spelling doaj-ddb24a43c05f43409cb982681c6fbee52020-11-24T21:27:12ZengPublic Library of Science (PLoS)PLoS ONE1932-62032015-01-01108e012840710.1371/journal.pone.0128407The Time to Most Recent Common Ancestor Does Not (Usually) Approximate the Date of Divergence.James B PettengillWith the advent of more sophisticated models and increase in computational power, an ever-growing amount of information can be extracted from DNA sequence data. In particular, recent advances have allowed researchers to estimate the date of historical events for a group of interest including time to most recent common ancestor (TMRCA), dates of specific nodes in a phylogeny, and the date of divergence or speciation date. Here I use coalescent simulations and re-analyze an empirical dataset to illustrate the importance of taxon sampling, in particular, on correctly estimating such dates. I show that TMRCA of representatives of a single taxon is often not the same as divergence date due to issues such as incomplete lineage sorting. Of critical importance is when estimating divergence or speciation dates a representative from a different taxonomic lineage must be included in the analysis. Without considering these issues, studies may incorrectly estimate the times at which historical events occurred, which has profound impacts within both research and applied (e.g., those related to public health) settings.http://europepmc.org/articles/PMC4537086?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author James B Pettengill
spellingShingle James B Pettengill
The Time to Most Recent Common Ancestor Does Not (Usually) Approximate the Date of Divergence.
PLoS ONE
author_facet James B Pettengill
author_sort James B Pettengill
title The Time to Most Recent Common Ancestor Does Not (Usually) Approximate the Date of Divergence.
title_short The Time to Most Recent Common Ancestor Does Not (Usually) Approximate the Date of Divergence.
title_full The Time to Most Recent Common Ancestor Does Not (Usually) Approximate the Date of Divergence.
title_fullStr The Time to Most Recent Common Ancestor Does Not (Usually) Approximate the Date of Divergence.
title_full_unstemmed The Time to Most Recent Common Ancestor Does Not (Usually) Approximate the Date of Divergence.
title_sort time to most recent common ancestor does not (usually) approximate the date of divergence.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2015-01-01
description With the advent of more sophisticated models and increase in computational power, an ever-growing amount of information can be extracted from DNA sequence data. In particular, recent advances have allowed researchers to estimate the date of historical events for a group of interest including time to most recent common ancestor (TMRCA), dates of specific nodes in a phylogeny, and the date of divergence or speciation date. Here I use coalescent simulations and re-analyze an empirical dataset to illustrate the importance of taxon sampling, in particular, on correctly estimating such dates. I show that TMRCA of representatives of a single taxon is often not the same as divergence date due to issues such as incomplete lineage sorting. Of critical importance is when estimating divergence or speciation dates a representative from a different taxonomic lineage must be included in the analysis. Without considering these issues, studies may incorrectly estimate the times at which historical events occurred, which has profound impacts within both research and applied (e.g., those related to public health) settings.
url http://europepmc.org/articles/PMC4537086?pdf=render
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