Literature DB >> 17572149

Living in a changing environment: insights into host adaptation in Neisseria meningitidis from comparative genomics.

Christoph Schoen1, Biju Joseph, Heike Claus, Ulrich Vogel, Matthias Frosch.   

Abstract

Neisseria meningitidis (the meningococcus) colonizes the human nasopharynx of about 10% of the human population. However, for reasons that are still mostly unknown meningococci occasionally enter the cerebrospinal fluid leading to often fatal bacterial meningitis especially in children and young adults. The genetic basis for the observed differences in the pathogenic potential of different strains has only partially been unravelled so far. With the advent of whole genome sequencing technologies, complete genome sequences from three pathogenic meningococcal strains have become available and allow for a comprehensive analysis of the genomic and genetic differences occurring within this species. In this review, the general properties of the meningococcal genomes so far sequenced is given with an emphasis on the chromosomal rearrangements that have occurred, and the genomic islands and prophages that have been identified. The concomitant development of microarray technology for comparative genome hybridization studies of a large set of different meningococcal isolates as well as strains from other Neisseria species has extended our understanding of meningococcal population genetics on a genome-wide scale thus bridging the gap between meningococcal epidemiology and genomics. Finally, we briefly discuss the potential impact of meningococcal life style on its genome architecture and how in turn this genomic make-up might lead to a virulent phenotype making N. meningitidis an accidental pathogen. The overall properties of the meningococcal genome are characterized by genomic variability and instability, resulting in increased functional flexibility within this species.

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Year:  2007        PMID: 17572149     DOI: 10.1016/j.ijmm.2007.04.003

Source DB:  PubMed          Journal:  Int J Med Microbiol        ISSN: 1438-4221            Impact factor:   3.473


  8 in total

1.  Independent evolution of the core and accessory gene sets in the genus Neisseria: insights gained from the genome of Neisseria lactamica isolate 020-06.

Authors:  Julia S Bennett; Stephen D Bentley; Georgios S Vernikos; Michael A Quail; Inna Cherevach; Brian White; Julian Parkhill; Martin C J Maiden
Journal:  BMC Genomics       Date:  2010-11-23       Impact factor: 3.969

2.  Evolutionary genomics of Staphylococcus aureus reveals insights into the origin and molecular basis of ruminant host adaptation.

Authors:  Caitriona M Guinane; Nouri L Ben Zakour; Maria A Tormo-Mas; Lucy A Weinert; Bethan V Lowder; Robyn A Cartwright; Davida S Smyth; Cyril J Smyth; Jodi A Lindsay; Katherine A Gould; Adam Witney; Jason Hinds; Jonathan P Bollback; Andrew Rambaut; José R Penadés; J Ross Fitzgerald
Journal:  Genome Biol Evol       Date:  2010-07-12       Impact factor: 3.416

3.  GTAG- and CGTC-tagged palindromic DNA repeats in prokaryotes.

Authors:  Pier Paolo Di Nocera; Eliana De Gregorio; Francesco Rocco
Journal:  BMC Genomics       Date:  2013-07-31       Impact factor: 3.969

Review 4.  Genome flexibility in Neisseria meningitidis.

Authors:  Christoph Schoen; Hervé Tettelin; Julian Parkhill; Matthias Frosch
Journal:  Vaccine       Date:  2009-05-27       Impact factor: 3.641

5.  Development of a DNA Aptamer for Screening Neisseria meningitidis Serogroup B by Cell SELEX

Authors:  Kimia Mirzakhani; Seyed Latif Mousavi Gargari; Iraj Rasooli; Samaneh Rasoulinejad
Journal:  Iran Biomed J       Date:  2018-05-01

6.  Simple sequence repeats in Haemophilus influenzae.

Authors:  Peter M Power; W A Sweetman; N J Gallacher; M R Woodhall; G A Kumar; E R Moxon; D W Hood
Journal:  Infect Genet Evol       Date:  2008-11-28       Impact factor: 3.342

Review 7.  Population genomics: diversity and virulence in the Neisseria.

Authors:  Martin Cj Maiden
Journal:  Curr Opin Microbiol       Date:  2008-10-14       Impact factor: 7.934

8.  Development and Assessment of a Diagnostic DNA Oligonucleotide Microarray for Detection and Typing of Meningitis-Associated Bacterial Species.

Authors:  Stephanie A Bannister; Stephen P Kidd; Elizabeth Kirby; Sonal Shah; Anvy Thomas; Richard Vipond; Michael J Elmore; Andrew Telfer Brunton; Peter Marsh; Steve Green; Nigel J Silman; Karen E Kempsell
Journal:  High Throughput       Date:  2018-10-16
  8 in total

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