Mismatch induced speciation in Salmonella: model and data

In bacteria, DNA sequence mismatches act as a barrier to recombination between distantly related organisms and can potentially promote the cohesion of species. We have performed computer simulations which show that the homology dependence of recombination can cause de novo speciation in a neutrally...

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Main Authors: Falush, Daniel, Torpdahl, Mia, Didelot, Xavier, Conrad, Donald F, Wilson, Daniel J, Achtman, Mark
Format: Online
Language:English
Published: The Royal Society 2006
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1764929/
id pubmed-1764929
recordtype oai_dc
spelling pubmed-17649292007-09-17 Mismatch induced speciation in Salmonella: model and data Falush, Daniel Torpdahl, Mia Didelot, Xavier Conrad, Donald F Wilson, Daniel J Achtman, Mark Research Article In bacteria, DNA sequence mismatches act as a barrier to recombination between distantly related organisms and can potentially promote the cohesion of species. We have performed computer simulations which show that the homology dependence of recombination can cause de novo speciation in a neutrally evolving population once a critical population size has been exceeded. Our model can explain the patterns of divergence and genetic exchange observed in the genus Salmonella, without invoking either natural selection or geographical population subdivision. If this model was validated, based on extensive sequence data, it would imply that the named subspecies of Salmonella enterica correspond to good biological species, making species boundaries objective. However, multilocus sequence typing data, analysed using several conventional tools, provide a misleading impression of relationships within S. enterica subspecies enterica and do not provide the resolution to establish whether new species are presently being formed. The Royal Society 2006-10-11 2006-11-29 /pmc/articles/PMC1764929/ /pubmed/17062419 http://dx.doi.org/10.1098/rstb.2006.1925 Text en Copyright © 2006 The Royal Society http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
repository_type Open Access Journal
institution_category Foreign Institution
institution US National Center for Biotechnology Information
building NCBI PubMed
collection Online Access
language English
format Online
author Falush, Daniel
Torpdahl, Mia
Didelot, Xavier
Conrad, Donald F
Wilson, Daniel J
Achtman, Mark
spellingShingle Falush, Daniel
Torpdahl, Mia
Didelot, Xavier
Conrad, Donald F
Wilson, Daniel J
Achtman, Mark
Mismatch induced speciation in Salmonella: model and data
author_facet Falush, Daniel
Torpdahl, Mia
Didelot, Xavier
Conrad, Donald F
Wilson, Daniel J
Achtman, Mark
author_sort Falush, Daniel
title Mismatch induced speciation in Salmonella: model and data
title_short Mismatch induced speciation in Salmonella: model and data
title_full Mismatch induced speciation in Salmonella: model and data
title_fullStr Mismatch induced speciation in Salmonella: model and data
title_full_unstemmed Mismatch induced speciation in Salmonella: model and data
title_sort mismatch induced speciation in salmonella: model and data
description In bacteria, DNA sequence mismatches act as a barrier to recombination between distantly related organisms and can potentially promote the cohesion of species. We have performed computer simulations which show that the homology dependence of recombination can cause de novo speciation in a neutrally evolving population once a critical population size has been exceeded. Our model can explain the patterns of divergence and genetic exchange observed in the genus Salmonella, without invoking either natural selection or geographical population subdivision. If this model was validated, based on extensive sequence data, it would imply that the named subspecies of Salmonella enterica correspond to good biological species, making species boundaries objective. However, multilocus sequence typing data, analysed using several conventional tools, provide a misleading impression of relationships within S. enterica subspecies enterica and do not provide the resolution to establish whether new species are presently being formed.
publisher The Royal Society
publishDate 2006
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1764929/
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