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dc.contributor.authorRobinson, Guy
dc.contributor.authorPérez Cordón, Gregorio 
dc.date.accessioned2022-06-07T06:53:53Z
dc.date.available2022-06-07T06:53:53Z
dc.date.issued2022-04-11
dc.identifier.citationGuy Robinson... [et al.]. Validation of a multilocus genotyping scheme for subtyping Cryptosporidium parvum for epidemiological purposes, Food and Waterborne Parasitology, Volume 27, 2022, e00151, ISSN 2405-6766, [https://doi.org/10.1016/j.fawpar.2022.e00151]es_ES
dc.identifier.urihttp://hdl.handle.net/10481/75292
dc.descriptionWe would like to thank Prof. Giovanni Widmer and Dr. Willie Weir for their helpful advice on data analysis and Dr. Harriet Risby for her assistance with the manuscript formatting and additional laboratory testing. This work was part funded by the European Union Seventh Framework Programme ( [FP7/2007-2013] [FP7/2007-2011] under Grant agreement no: 311846) .es_ES
dc.description.abstractSubtyping Cryptosporidium parvum for outbreak investigations or epidemiological surveillance usually relies on DNA sequence analysis of a gene coding for a 60 KDa glycoprotein (gp60). Although gp60 can be useful for allelic discrimination and to help investigate sources and routes of transmission, the presence of common subtypes and recombination during the parasite's sexual life-cycle demand a multilocus-based method for more discriminatory genotyping. While whole genome sequencing would provide the ultimate approach, it is a time consuming and expensive option for faecal parasites such as Cryptosporidium that occur at low density and are difficult to propagate routinely. In this study, we selected and evaluated a panel of previously identified variable-number tandem-repeat (VNTR) markers, to establish a multilocus genotyping scheme based on fragment sizing, appropriate for inter-laboratory surveillance and outbreak investigations. Seven VNTR markers were validated in vitro and demonstrated typeability of 0.85 and discriminatory power of 0.99. The discriminatory power was much greater than the currently used gp60 sequencing (0.74), which identified 26 subtypes, compared to 100 different MLVA profiles within the same sample set. The assay was robust, with repeatable results and reproducibility across three laboratories demonstrating the scheme was suitable for inter-laboratory comparison of C. parvum subtypes. As the majority of genotypes (79%) were unique among epidemiologically unrelated samples, there was efficiency to infer linkage, and epidemiological concordance was observed in historical outbreaks. We propose that the multilocus variable number of tandem repeats analysis scheme is suitable to assist outbreak investigations.es_ES
dc.description.sponsorshipEuropean Commission 311846es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectCryptosporidium parvumes_ES
dc.subjectMLVA schemees_ES
dc.subjectMultilocuses_ES
dc.subjectOutbreakses_ES
dc.subjectSubtypees_ES
dc.subjectTandem repeates_ES
dc.subjectValidationes_ES
dc.titleValidation of a multilocus genotyping scheme for subtyping Cryptosporidium parvum for epidemiological purposeses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/311846es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.1016/j.fawpar.2022.e00151
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones_ES


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