Inference from gene trees in a subdivided population.

This paper studies gene trees in subdivided populations which are constructed as perfect phylogenies from the pattern of mutations in a sample of DNA sequences and presents a new recursion for the probability distribution of such gene trees. The underlying evolutionary model is the coalescent proces...

全面介紹

書目詳細資料
Main Authors: Bahlo, M, Griffiths, R
格式: Journal article
語言:English
出版: 2000
_version_ 1826289182446714880
author Bahlo, M
Griffiths, R
author_facet Bahlo, M
Griffiths, R
author_sort Bahlo, M
collection OXFORD
description This paper studies gene trees in subdivided populations which are constructed as perfect phylogenies from the pattern of mutations in a sample of DNA sequences and presents a new recursion for the probability distribution of such gene trees. The underlying evolutionary model is the coalescent process in a subdivided population. The infinitely-many-sites model of mutation is assumed. Ancestral inference questions that are discussed are maximum likelihood estimation of migration and mutation rates; detection of population growth by likelihood techniques; determining the distribution of the time to the most recent common ancestor of a sample of sequences; determining the distribution of the age of the mutations on the gene tree; determining in which subpopulation the most recent common ancestor of all the sequences was; determining subpopulation ancestors, where they were, and times to them; and determining in which subpopulations mutations occurred. A computational technique of Griffiths and Tavaré used is a computer intensive Markov chain simulation, which simulates gene trees conditional on their topology implied by the mutation pattern in the sample of DNA sequences. The software GENETREE, which implements these ancestral inference techniques, is available.
first_indexed 2024-03-07T02:25:00Z
format Journal article
id oxford-uuid:a54abafb-bf13-4524-a84b-c44635e89d10
institution University of Oxford
language English
last_indexed 2024-03-07T02:25:00Z
publishDate 2000
record_format dspace
spelling oxford-uuid:a54abafb-bf13-4524-a84b-c44635e89d102022-03-27T02:39:26ZInference from gene trees in a subdivided population.Journal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:a54abafb-bf13-4524-a84b-c44635e89d10EnglishSymplectic Elements at Oxford2000Bahlo, MGriffiths, RThis paper studies gene trees in subdivided populations which are constructed as perfect phylogenies from the pattern of mutations in a sample of DNA sequences and presents a new recursion for the probability distribution of such gene trees. The underlying evolutionary model is the coalescent process in a subdivided population. The infinitely-many-sites model of mutation is assumed. Ancestral inference questions that are discussed are maximum likelihood estimation of migration and mutation rates; detection of population growth by likelihood techniques; determining the distribution of the time to the most recent common ancestor of a sample of sequences; determining the distribution of the age of the mutations on the gene tree; determining in which subpopulation the most recent common ancestor of all the sequences was; determining subpopulation ancestors, where they were, and times to them; and determining in which subpopulations mutations occurred. A computational technique of Griffiths and Tavaré used is a computer intensive Markov chain simulation, which simulates gene trees conditional on their topology implied by the mutation pattern in the sample of DNA sequences. The software GENETREE, which implements these ancestral inference techniques, is available.
spellingShingle Bahlo, M
Griffiths, R
Inference from gene trees in a subdivided population.
title Inference from gene trees in a subdivided population.
title_full Inference from gene trees in a subdivided population.
title_fullStr Inference from gene trees in a subdivided population.
title_full_unstemmed Inference from gene trees in a subdivided population.
title_short Inference from gene trees in a subdivided population.
title_sort inference from gene trees in a subdivided population
work_keys_str_mv AT bahlom inferencefromgenetreesinasubdividedpopulation
AT griffithsr inferencefromgenetreesinasubdividedpopulation