Validation of a multilocus genotyping scheme for subtyping Cryptosporidium parvum for epidemiological purposes
Metadatos
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Elsevier
Materia
Cryptosporidium parvum MLVA scheme Multilocus Outbreaks Subtype Tandem repeat Validation
Fecha
2022-04-11Referencia bibliográfica
Guy 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]
Patrocinador
European Commission 311846Resumen
Subtyping 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.