Development and evaluation of a real-time PCR for genotyping of Cryptosporidium spp. from water monitoring slides.
Exp Parasitol
; 242: 108366, 2022 Nov.
Article
en En
| MEDLINE
| ID: mdl-36089005
ABSTRACT
Cryptosporidium is an important cause of gastroenteritis globally and the main agent of waterborne outbreaks caused by protozoan parasites. Water monitoring for Cryptosporidium oocysts is by detection and enumeration using stained slide microscopy. Species identification (known as genotyping) may be undertaken post hoc and remains a specialist test, only undertaken in some laboratories. The benchmark method is nested PCR-sequencing of part of the SSU rRNA gene, but not all slides are typable and the workflow is cumbersome. We report the development, in-house validation and application of a real-time PCR-sequencing assay based on that gene, using a hydrolysis probe, for the detection and genotyping of all Cryptosporidium spp. The assay was investigated in two formats; a high volume DNA template for analysing all the DNA extracted from Cryptosporidium-positive water monitoring slides with <5 oocysts seen, and a lower volume DNA template permitting several technical replicates from slides with ≥5 oocysts seen where multiple species are more likely to be present. Each format conformed to the MIQE guidelines for amplification dynamics and was specific for Cryptosporidium spp. With high sensitivity, being capable of detecting and genotyping single oocysts by sequencing of a 435 bp amplicon. When 65 water monitoring slides with <5 oocysts seen were tested, slide typeability varied by sending laboratory (n = 9), and ranged from 22 to 60%. Typeability was 75% for slides with ≥5 oocysts seen that were submitted by a single laboratory. The laboratory workflow was improved by using real-time PCR, and decreased the time to result compared with nested PCR-sequencing. In practical application, there was no loss of typeability when the ≥5 oocysts assay was applied to all slides, irrespective of the number of oocysts present.
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Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Criptosporidiosis
/
Cryptosporidium
Tipo de estudio:
Diagnostic_studies
/
Guideline
/
Prognostic_studies
Límite:
Animals
Idioma:
En
Año:
2022
Tipo del documento:
Article