Cargando…

Estimators for Q(ST) and coalescence times

Comparisons of [Formula: see text] to [Formula: see text] can provide insights into the evolutionary processes that lead to differentiation, or lack thereof, among the phenotypes of different groups (e.g., populations, species), and these comparisons have been performed on a variety of taxa, includi...

Descripción completa

Detalles Bibliográficos
Autor principal: Weaver, Timothy D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6093160/
https://www.ncbi.nlm.nih.gov/pubmed/30128128
http://dx.doi.org/10.1002/ece3.2522
_version_ 1783347661876756480
author Weaver, Timothy D.
author_facet Weaver, Timothy D.
author_sort Weaver, Timothy D.
collection PubMed
description Comparisons of [Formula: see text] to [Formula: see text] can provide insights into the evolutionary processes that lead to differentiation, or lack thereof, among the phenotypes of different groups (e.g., populations, species), and these comparisons have been performed on a variety of taxa, including humans. Here, I show that for neutrally evolving (i.e., by genetic drift, mutation, and gene flow alone) quantitative characters, the two commonly used [Formula: see text] estimators have somewhat different interpretations in terms of coalescence times, particularly when the number of groups that have been sampled is small. A similar situation occurs for [Formula: see text] estimators. Consequently, when observations come from only a small number of groups, which is not an unusual situation, it is important to match estimators appropriately when comparing [Formula: see text] to [Formula: see text].
format Online
Article
Text
id pubmed-6093160
institution National Center for Biotechnology Information
language English
publishDate 2016
publisher John Wiley and Sons Inc.
record_format MEDLINE/PubMed
spelling pubmed-60931602018-08-20 Estimators for Q(ST) and coalescence times Weaver, Timothy D. Ecol Evol Original Research Comparisons of [Formula: see text] to [Formula: see text] can provide insights into the evolutionary processes that lead to differentiation, or lack thereof, among the phenotypes of different groups (e.g., populations, species), and these comparisons have been performed on a variety of taxa, including humans. Here, I show that for neutrally evolving (i.e., by genetic drift, mutation, and gene flow alone) quantitative characters, the two commonly used [Formula: see text] estimators have somewhat different interpretations in terms of coalescence times, particularly when the number of groups that have been sampled is small. A similar situation occurs for [Formula: see text] estimators. Consequently, when observations come from only a small number of groups, which is not an unusual situation, it is important to match estimators appropriately when comparing [Formula: see text] to [Formula: see text]. John Wiley and Sons Inc. 2016-10-05 /pmc/articles/PMC6093160/ /pubmed/30128128 http://dx.doi.org/10.1002/ece3.2522 Text en © 2016 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/3.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Weaver, Timothy D.
Estimators for Q(ST) and coalescence times
title Estimators for Q(ST) and coalescence times
title_full Estimators for Q(ST) and coalescence times
title_fullStr Estimators for Q(ST) and coalescence times
title_full_unstemmed Estimators for Q(ST) and coalescence times
title_short Estimators for Q(ST) and coalescence times
title_sort estimators for q(st) and coalescence times
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6093160/
https://www.ncbi.nlm.nih.gov/pubmed/30128128
http://dx.doi.org/10.1002/ece3.2522
work_keys_str_mv AT weavertimothyd estimatorsforqstandcoalescencetimes