Literature DB >> 15777916

Direct comparison of selected methods for genetic categorisation of Cryptosporidium parvum and Cryptosporidium hominis species.

Rachel M Chalmers1, Christobel Ferguson, Simone Cacciò, Robin B Gasser, Youssef G Abs EL-Osta, Leo Heijnen, Lihua Xiao, Kristin Elwin, Stephen Hadfield, Martha Sinclair, Melita Stevens.   

Abstract

A study was undertaken to compare the performance of five different molecular methods (available in four different laboratories) for the identification of Cryptosporidium parvum and Cryptosporidium hominis and the detection of genetic variation within each of these species. The same panel of oocyst DNA samples derived from faeces (n=54; coded blindly) was sent for analysis by: (i) DNA sequence analysis of a fragment of the HSP70 gene; (ii) DNA sequence analysis and the ssrRNA gene in laboratory 1; (iii) single-strand conformation polymorphism analysis of part of the ssrRNA; (iv) SSCP analysis of the second internal transcribed spacer (ITS-2) of nuclear ribosomal DNA region in laboratory 2; (v) 60 kDa glycoprotein (gp60) gene sequencing with prior species determination using PCR with restriction fragment length polymorphism analysis of the ssrRNA gene in laboratory 3; and (vi) multilocus genotyping at three microsatellite markers in laboratory 4. For detecting variation within C. parvum and C. hominis, SSCP analysis of ITS-2 was considered to have superior utility and determined 'subgenotypes' in samples containing DNA from both species. SSCP was also most cost effective in terms of time, cost and consumables. Sequence analysis of gp60 and microsatellite markers ML1, ML2 and 'gp15' provided good comparators for the SSCP of ITS-2. However, applicability of these methods to other Cryptosporidium species or genotypes and to environmental samples needs to be evaluated. This trial provided, for the first time, a direct comparison of multiple methods for the genetic characterisation of C. parvum and C. hominis samples. A protocol has been established for the international distribution of samples for the characterisation of Cryptosporidium. This can be applied in further evaluation of molecular methods by investigation of a larger number of unrelated samples to establish sensitivity, typability, reproducibility and discriminatory power based on internationally accepted methods for evaluation of microbial typing schemes.

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Year:  2005        PMID: 15777916     DOI: 10.1016/j.ijpara.2005.01.001

Source DB:  PubMed          Journal:  Int J Parasitol        ISSN: 0020-7519            Impact factor:   3.981


  40 in total

1.  Waterborne outbreak of cryptosporidiosis in the South East of Ireland: weighing up the evidence.

Authors:  M Mahon; S Doyle
Journal:  Ir J Med Sci       Date:  2017-01-13       Impact factor: 1.568

2.  Detection and resolution of Cryptosporidium species and species mixtures by genus-specific nested PCR-restriction fragment length polymorphism analysis, direct sequencing, and cloning.

Authors:  Norma J Ruecker; Rebecca M Hoffman; Rachel M Chalmers; Norman F Neumann
Journal:  Appl Environ Microbiol       Date:  2011-04-15       Impact factor: 4.792

3.  Distribution of Cryptosporidium parvum subtypes in calves in eastern United States.

Authors:  Lihua Xiao; Ling Zhou; Monica Santin; Wenli Yang; Ronald Fayer
Journal:  Parasitol Res       Date:  2006-10-06       Impact factor: 2.289

4.  Genotype and subtype analyses of Cryptosporidium isolates from dairy calves and humans in Ontario.

Authors:  L A Trotz-Williams; D S Martin; W Gatei; V Cama; A S Peregrine; S W Martin; D V Nydam; F Jamieson; L Xiao
Journal:  Parasitol Res       Date:  2006-03-25       Impact factor: 2.289

5.  Zoonotic linkage and variation in Cryptosporidium parvum from patients in the United Kingdom.

Authors:  Rachel M Chalmers; Richard P Smith; Stephen J Hadfield; Kristin Elwin; Michaela Giles
Journal:  Parasitol Res       Date:  2010-12-31       Impact factor: 2.289

6.  Molecular characterization of Cryptosporidium isolates from high-excreting young dairy calves in dairy cattle herds in Western France.

Authors:  A Rieux; C Chartier; I Pors; A Delafosse; C Paraud
Journal:  Parasitol Res       Date:  2013-07-03       Impact factor: 2.289

7.  Cryptosporidium genotypes and subtypes in lambs and goat kids in Spain.

Authors:  Joaquín Quílez; Eucaris Torres; Rachel M Chalmers; Stephen J Hadfield; Emilio Del Cacho; Caridad Sánchez-Acedo
Journal:  Appl Environ Microbiol       Date:  2008-07-11       Impact factor: 4.792

8.  Cryptosporidium species and subtype analysis in diarrhoeic pre-weaned lambs and goat kids from north-western Spain.

Authors:  Pablo Díaz; Joaquín Quílez; Alberto Prieto; Esther Navarro; Ana Pérez-Creo; Gonzalo Fernández; Rosario Panadero; Ceferino López; Pablo Díez-Baños; Patrocinio Morrondo
Journal:  Parasitol Res       Date:  2015-07-28       Impact factor: 2.289

9.  Classification of Cryptosporidium species from patients with sporadic cryptosporidiosis by use of sequence-based multilocus analysis following mutation scanning.

Authors:  Aaron R Jex; Aradhana Pangasa; Bronwyn E Campbell; Margaret Whipp; Geoff Hogg; Martha I Sinclair; Melita Stevens; Robin B Gasser
Journal:  J Clin Microbiol       Date:  2008-04-30       Impact factor: 5.948

10.  Human intestinal parasites.

Authors:  Rashidul Haque
Journal:  J Health Popul Nutr       Date:  2007-12       Impact factor: 2.000

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