Literature DB >> 16782402

Numerical analysis of DNA microarray data of Campylobacter jejuni strains correlated with survival, cytolethal distending toxin and haemolysin analyses.

Stephen L W On1, Nick Dorrell, Lise Petersen, Dang D Bang, Samantha Morris, Stephen J Forsythe, Brendan W Wren.   

Abstract

Molecular epidemiological studies of the enteric pathogen Campylobacter jejuni have suggested that not all animal isolates are equally pathogenic to humans. We examined the use of numerical analysis of whole-genomotype data as a potential tool for evaluating C. jejuni virulence potential. Whole-genome microarray analysis was used to determine the gene-level complementarity of 12 Danish strains to the pathogenic, genome-sequenced strain NCTC 11168. Cytolethal distending toxin (CDT) and haemolysin activities, and survival characteristics under aerobic conditions at room temperature were also determined. Among the strains examined, 439 genes were polymorphic. Numerical analysis of these data by use of the squared Euclidean distance coefficient and Ward's clustering method clearly delineated strains into two clusters. CDT and haemolysin activities of cluster 1 strains were not statistically significantly different from cluster 2 strains. However, viability during aerobic incubation of cluster 1 strains was statistically significantly lower than corresponding estimates of cluster 2 strains. The number of missing or highly divergent genes in cluster 1 strains with respect to NCTC 11168 was also statistically significantly greater compared with those of cluster 2 strains. Sixty-seven genes present in NCTC 11168 were characteristically missing or divergent among cluster 1 strains. Of these, 53 genes were localised within 11 major gene clusters, of which eight were associated with surface structures and included flagellar, lipo-oligosaccharide, and membrane transport proteins. Our data indicate a correlation between C. jejuni genomic content, particularly in surface-coding regions, and its capacity for environmental survival, and may help explain why certain serotypes are more commonly reported in human disease.

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Year:  2006        PMID: 16782402     DOI: 10.1016/j.ijmm.2006.03.002

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


  8 in total

1.  Genome sequences of two stress-tolerant Campylobacter jejuni poultry strains, 305 and DFVF1099.

Authors:  Monica Takamiya; Asli Ozen; Morten Rasmussen; Thomas Alter; Tom Gilbert; Dave W Ussery; Susanne Knøchel
Journal:  J Bacteriol       Date:  2011-10       Impact factor: 3.490

2.  Comparison of PCR binary typing (P-BIT), a new approach to epidemiological subtyping of Campylobacter jejuni, with serotyping, pulsed-field gel electrophoresis, and multilocus sequence typing methods.

Authors:  Angela J Cornelius; Brent Gilpin; Philip Carter; Carolyn Nicol; Stephen L W On
Journal:  Appl Environ Microbiol       Date:  2009-12-18       Impact factor: 4.792

3.  Genetic background of IL-10(-/-) mice alters host-pathogen interactions with Campylobacter jejuni and influences disease phenotype.

Authors:  L S Mansfield; J S Patterson; B R Fierro; A J Murphy; V A Rathinam; J J Kopper; N I Barbu; T J Onifade; J A Bell
Journal:  Microb Pathog       Date:  2008-06-11       Impact factor: 3.738

4.  Genomics-based molecular epidemiology of Campylobacter jejuni isolates from feedlot cattle and from people in Alberta, Canada.

Authors:  Sherry J Hannon; Eduardo N Taboada; Margaret L Russell; Brenda Allan; Cheryl Waldner; Heather L Wilson; Andrew Potter; Lorne Babiuk; Hugh G G Townsend
Journal:  J Clin Microbiol       Date:  2008-11-26       Impact factor: 5.948

5.  Genomic variations define divergence of water/wildlife-associated Campylobacter jejuni niche specialists from common clonal complexes.

Authors:  Philip J Hepworth; Kevin E Ashelford; Jason Hinds; Katherine A Gould; Adam A Witney; Nicola J Williams; Howard Leatherbarrow; Nigel P French; Richard J Birtles; Chriselle Mendonca; Nick Dorrell; Brendan W Wren; Paul Wigley; Neil Hall; Craig Winstanley
Journal:  Environ Microbiol       Date:  2011-03-21       Impact factor: 5.491

6.  Multiple factors interact to produce responses resembling spectrum of human disease in Campylobacter jejuni infected C57BL/6 IL-10-/- mice.

Authors:  Julia A Bell; Jessica L St Charles; Alice J Murphy; Vijay A K Rathinam; Anne E Plovanich-Jones; Erin L Stanley; John E Wolf; Jenna R Gettings; Thomas S Whittam; Linda S Mansfield
Journal:  BMC Microbiol       Date:  2009-03-18       Impact factor: 3.605

7.  Use of suppression subtractive hybridisation to extend our knowledge of genome diversity in Campylobacter jejuni.

Authors:  Philip J Hepworth; Howard Leatherbarrow; C Anthony Hart; Craig Winstanley
Journal:  BMC Genomics       Date:  2007-04-30       Impact factor: 3.969

8.  Performance of a 70-mer oligonucleotide microarray for genotyping of Campylobacter jejuni.

Authors:  Sandra Rodin; Anders F Andersson; Valtteri Wirta; Lena Eriksson; Marianne Ljungström; Britta Björkholm; Hans Lindmark; Lars Engstrand
Journal:  BMC Microbiol       Date:  2008-05-08       Impact factor: 3.605

  8 in total

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