Literature DB >> 17090663

A bimodal pattern of relatedness between the Salmonella Paratyphi A and Typhi genomes: convergence or divergence by homologous recombination?

Xavier Didelot1, Mark Achtman, Julian Parkhill, Nicholas R Thomson, Daniel Falush.   

Abstract

All Salmonella can cause disease but severe systemic infections are primarily caused by a few lineages. Paratyphi A and Typhi are the deadliest human restricted serovars, responsible for approximately 600,000 deaths per annum. We developed a Bayesian changepoint model that uses variation in the degree of nucleotide divergence along two genomes to detect homologous recombination between these strains, and with other lineages of Salmonella enterica. Paratyphi A and Typhi showed an atypical and surprising pattern. For three quarters of their genomes, they appear to be distantly related members of the species S. enterica, both in their gene content and nucleotide divergence. However, the remaining quarter is much more similar in both aspects, with average nucleotide divergence of 0.18% instead of 1.2%. We describe two different scenarios that could have led to this pattern, convergence and divergence, and conclude that the former is more likely based on a variety of criteria. The convergence scenario implies that, although Paratyphi A and Typhi were not especially close relatives within S. enterica, they have gone through a burst of recombination involving more than 100 recombination events. Several of the recombination events transferred novel genes in addition to homologous sequences, resulting in similar gene content in the two lineages. We propose that recombination between Typhi and Paratyphi A has allowed the exchange of gene variants that are important for their adaptation to their common ecological niche, the human host.

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Mesh:

Year:  2006        PMID: 17090663      PMCID: PMC1716267          DOI: 10.1101/gr.5512906

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  31 in total

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3.  The influence of mutation, recombination, population history, and selection on patterns of genetic diversity in Neisseria meningitidis.

Authors:  K A Jolley; D J Wilson; P Kriz; G McVean; M C J Maiden
Journal:  Mol Biol Evol       Date:  2004-11-10       Impact factor: 16.240

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5.  Serotype and phage type distribution of salmonella strains isolated from humans, cattle, pigs, and chickens in the Netherlands from 1984 to 2001.

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Authors:  L Miesel; J R Roth
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  70 in total

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Authors:  Xavier Didelot; Martin C J Maiden
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Journal:  Genetics       Date:  2010-06-15       Impact factor: 4.562

3.  The Impact of Recombination Hotspots on Genome Evolution of a Fungal Plant Pathogen.

Authors:  Daniel Croll; Mark H Lendenmann; Ethan Stewart; Bruce A McDonald
Journal:  Genetics       Date:  2015-09-21       Impact factor: 4.562

4.  Population genomics in bacteria: a case study of Staphylococcus aureus.

Authors:  Shohei Takuno; Tomoyuki Kado; Ryuichi P Sugino; Luay Nakhleh; Hideki Innan
Journal:  Mol Biol Evol       Date:  2011-10-17       Impact factor: 16.240

5.  Inference of bacterial microevolution using multilocus sequence data.

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Review 6.  Insights from genomic comparisons of genetically monomorphic bacterial pathogens.

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Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2012-03-19       Impact factor: 6.237

7.  Inferring genomic flux in bacteria.

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8.  Intersubspecific recombination in Xylella fastidiosa Strains native to the United States: infection of novel hosts associated with an unsuccessful invasion.

Authors:  Leonard Nunney; Donald L Hopkins; Lisa D Morano; Stephanie E Russell; Richard Stouthamer
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9.  Of trees and networks.

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Journal:  Nat Rev Microbiol       Date:  2009-10       Impact factor: 60.633

10.  High-throughput sequencing provides insights into genome variation and evolution in Salmonella Typhi.

Authors:  Kathryn E Holt; Julian Parkhill; Camila J Mazzoni; Philippe Roumagnac; François-Xavier Weill; Ian Goodhead; Richard Rance; Stephen Baker; Duncan J Maskell; John Wain; Christiane Dolecek; Mark Achtman; Gordon Dougan
Journal:  Nat Genet       Date:  2008-07-27       Impact factor: 38.330

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