Literature DB >> 22170908

Development and validation of a comparative genomic fingerprinting method for high-resolution genotyping of Campylobacter jejuni.

Eduardo N Taboada1, Susan L Ross, Steven K Mutschall, Joanne M Mackinnon, Michael J Roberts, Cody J Buchanan, Peter Kruczkiewicz, Cassandra C Jokinen, James E Thomas, John H E Nash, Victor P J Gannon, Barbara Marshall, Frank Pollari, Clifford G Clark.   

Abstract

Campylobacter spp. are a leading cause of bacterial gastroenteritis worldwide. The need for molecular subtyping methods with enhanced discrimination in the context of surveillance- and outbreak-based epidemiologic investigations of Campylobacter spp. is critical to our understanding of sources and routes of transmission and the development of mitigation strategies to reduce the incidence of campylobacteriosis. We describe the development and validation of a rapid and high-resolution comparative genomic fingerprinting (CGF) method for C. jejuni. A total of 412 isolates from agricultural, environmental, retail, and human clinical sources obtained from the Canadian national integrated enteric pathogen surveillance program (C-EnterNet) were analyzed using a 40-gene assay (CGF40) and multilocus sequence typing (MLST). The significantly higher Simpson's index of diversity (ID) obtained with CGF40 (ID = 0.994) suggests that it has a higher discriminatory power than MLST at both the level of clonal complex (ID = 0.873) and sequence type (ID = 0.935). High Wallace coefficients obtained when CGF40 was used as the primary typing method suggest that CGF and MLST are highly concordant, and we show that isolates with identical MLST profiles are comprised of isolates with distinct but highly similar CGF profiles. The high concordance with MLST coupled with the ability to discriminate between closely related isolates suggests that CFG40 is useful in differentiating highly prevalent sequence types, such as ST21 and ST45. CGF40 is a high-resolution comparative genomics-based method for C. jejuni subtyping with high discriminatory power that is also rapid, low cost, and easily deployable for routine epidemiologic surveillance and outbreak investigations.

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Year:  2011        PMID: 22170908      PMCID: PMC3295178          DOI: 10.1128/JCM.00669-11

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  60 in total

1.  Determining confidence intervals when measuring genetic diversity and the discriminatory abilities of typing methods for microorganisms.

Authors:  H Grundmann; S Hori; G Tanner
Journal:  J Clin Microbiol       Date:  2001-11       Impact factor: 5.948

2.  Comparative genome analysis of Campylobacter jejuni using whole genome DNA microarrays.

Authors:  B M Pearson; C Pin; J Wright; K I'Anson; T Humphrey; J M Wells
Journal:  FEBS Lett       Date:  2003-11-06       Impact factor: 4.124

3.  Public health implications of campylobacter outbreaks in England and Wales, 1995-9: epidemiological and microbiological investigations.

Authors:  J A Frost; I A Gillespie; S J O'Brien
Journal:  Epidemiol Infect       Date:  2002-04       Impact factor: 2.451

4.  Prevalence of Campylobacter spp., Escherichia coli, and Salmonella serovars in retail chicken, turkey, pork, and beef from the Greater Washington, D.C., area.

Authors:  C Zhao; B Ge; J De Villena; R Sudler; E Yeh; S Zhao; D G White; D Wagner; J Meng
Journal:  Appl Environ Microbiol       Date:  2001-12       Impact factor: 4.792

5.  Whole genome comparison of Campylobacter jejuni human isolates using a low-cost microarray reveals extensive genetic diversity.

Authors:  N Dorrell; J A Mangan; K G Laing; J Hinds; D Linton; H Al-Ghusein; B G Barrell; J Parkhill; N G Stoker; A V Karlyshev; P D Butcher; B W Wren
Journal:  Genome Res       Date:  2001-10       Impact factor: 9.043

6.  Multilocus sequence typing system for Campylobacter jejuni.

Authors:  K E Dingle; F M Colles; D R Wareing; R Ure; A J Fox; F E Bolton; H J Bootsma; R J Willems; R Urwin; M C Maiden
Journal:  J Clin Microbiol       Date:  2001-01       Impact factor: 5.948

7.  Antibodies, directed towards Campylobacter jejuni antigens, in sera from poultry abattoir workers.

Authors:  S A Cawthraw; L Lind; B Kaijser; D G Newell
Journal:  Clin Exp Immunol       Date:  2000-10       Impact factor: 4.330

8.  Use of an open-reading frame-specific Campylobacter jejuni DNA microarray as a new genotyping tool for studying epidemiologically related isolates.

Authors:  Edward E Leonard; Tohru Takata; Martin J Blaser; Stanley Falkow; Lucy S Tompkins; Erin C Gaynor
Journal:  J Infect Dis       Date:  2003-01-29       Impact factor: 5.226

9.  Utility of multilocus sequence typing as an epidemiological tool for investigation of outbreaks of gastroenteritis caused by Campylobacter jejuni.

Authors:  Andrew D Sails; Bala Swaminathan; Patricia I Fields
Journal:  J Clin Microbiol       Date:  2003-10       Impact factor: 5.948

10.  PulseNet: the molecular subtyping network for foodborne bacterial disease surveillance, United States.

Authors:  B Swaminathan; T J Barrett; S B Hunter; R V Tauxe
Journal:  Emerg Infect Dis       Date:  2001 May-Jun       Impact factor: 6.883

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  24 in total

1.  Comparison of molecular typing methods useful for detecting clusters of Campylobacter jejuni and C. coli isolates through routine surveillance.

Authors:  Clifford G Clark; Eduardo Taboada; Christopher C R Grant; Connie Blakeston; Frank Pollari; Barbara Marshall; Kris Rahn; Joanne Mackinnon; Danielle Daignault; Dylan Pillai; Lai-King Ng
Journal:  J Clin Microbiol       Date:  2011-12-07       Impact factor: 5.948

2.  Comprehensive detection and discrimination of Campylobacter species by use of confocal micro-Raman spectroscopy and multilocus sequence typing.

Authors:  Xiaonan Lu; Qian Huang; William G Miller; D Eric Aston; Jie Xu; Feng Xue; Hongwei Zhang; Barbara A Rasco; Shuo Wang; Michael E Konkel
Journal:  J Clin Microbiol       Date:  2012-06-27       Impact factor: 5.948

3.  Subtype-Specific Selection for Resistance to Fluoroquinolones but Not to Tetracyclines Is Evident in Campylobacter jejuni Isolates from Beef Cattle in Confined Feeding Operations in Southern Alberta, Canada.

Authors:  Andrew L Webb; L Brent Selinger; Eduardo N Taboada; G Douglas Inglis
Journal:  Appl Environ Microbiol       Date:  2018-03-19       Impact factor: 4.792

4.  Analysis of Campylobacter jejuni Subtype Distribution in the Chicken Broiler Production Continuum: a Longitudinal Examination To Identify Primary Contamination Points.

Authors:  G Douglas Inglis; Nahal Ramezani; Eduardo N Taboada; Valerie F Boras; Richard R E Uwiera
Journal:  Appl Environ Microbiol       Date:  2021-01-15       Impact factor: 4.792

5.  Clinically Relevant Campylobacter jejuni Subtypes Are Readily Found and Transmitted within the Cattle Production Continuum but Present a Limited Foodborne Risk.

Authors:  G Douglas Inglis; Jenny F Gusse; Kathaleen E House; Tara G Shelton; Eduardo N Taboada
Journal:  Appl Environ Microbiol       Date:  2020-03-02       Impact factor: 4.792

6.  Comparative genomic fingerprinting of Campylobacter: application in routine public health surveillance and epidemiological investigations.

Authors:  E Schleihauf; S Mutschall; B Billard; E N Taboada; D Haldane
Journal:  Epidemiol Infect       Date:  2016-10-21       Impact factor: 4.434

7.  Development of a comparative genomic fingerprinting assay for rapid and high resolution genotyping of Arcobacter butzleri.

Authors:  Andrew L Webb; Peter Kruczkiewicz; L Brent Selinger; G Douglas Inglis; Eduardo N Taboada
Journal:  BMC Microbiol       Date:  2015-05-07       Impact factor: 3.605

8.  A framework for assessing the concordance of molecular typing methods and the true strain phylogeny of Campylobacter jejuni and C. coli using draft genome sequence data.

Authors:  Catherine D Carrillo; Peter Kruczkiewicz; Steven Mutschall; Andrei Tudor; Clifford Clark; Eduardo N Taboada
Journal:  Front Cell Infect Microbiol       Date:  2012-05-01       Impact factor: 5.293

9.  Campylobacter jejuni colonization is associated with a dysbiosis in the cecal microbiota of mice in the absence of prominent inflammation.

Authors:  Abdul G Lone; L Brent Selinger; Richard R E Uwiera; Yong Xu; G Douglas Inglis
Journal:  PLoS One       Date:  2013-09-16       Impact factor: 3.240

10.  Do contamination of and exposure to chicken meat and water drive the temporal dynamics of Campylobacter cases?

Authors:  J M David; F Pollari; K D M Pintar; A Nesbitt; A J Butler; A Ravel
Journal:  Epidemiol Infect       Date:  2017-10-12       Impact factor: 4.434

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