A metabarcoding approach for detecting protozoan pathogens in wild oysters from Prince Edward Island, Canada.
18S rRNA
Cryptosporidium parvum
Food safety
Giardia enterica
Toxoplasma gondii
Zoonoses
Journal
International journal of food microbiology
ISSN: 1879-3460
Titre abrégé: Int J Food Microbiol
Pays: Netherlands
ID NLM: 8412849
Informations de publication
Date de publication:
16 Dec 2021
16 Dec 2021
Historique:
received:
31
03
2021
revised:
30
05
2021
accepted:
14
06
2021
pubmed:
4
7
2021
medline:
17
11
2021
entrez:
3
7
2021
Statut:
ppublish
Résumé
Food and waterborne protozoan pathogens including Cryptosporidium parvum, Giardia enterica and Toxoplasma gondii are a global concern for human public health. While all three pathogens have been detected in commercial shellfish, there is currently no standard approach for detecting protozoan parasites in shellfish. Common molecular and microscopic methods are limited in the number of pathogens they can simultaneously detect and are often targeted at one or two of these pathogens. Previously, we developed and validated a novel 18S amplicon-based next-generation sequencing assay for simultaneous detection of Cryptosporidium spp., Giardia spp. and T. gondii in shellfish. In this study, we applied the assay for protozoan pathogen detection in wild oysters from Prince Edward Island (PEI). Oysters were harvested from restricted and prohibited areas, classified by the Canadian government according to fecal coliform counts in surrounding waters, and different fractions (whole tissue homogenate and hemolymph) were analyzed. Protozoan DNA was detected using metabarcoding in 28%, of oysters tested (N = 128), and the pathogen read counts in oyster homogenate were considerably higher than those in hemolymph. Protozoan read count thresholds were established for classifying probable oyster contamination with pathogens to account for low levels of background protozoan reads detected in negative controls. Assay results showed protozoan contamination was not associated with harvesting site classifications, suggesting that using fecal indicators for ensuring food safety may be insufficient. Due to the complex matrix, an oyster DNA reduction step may further improve the pathogen detection sensitivity of the assay. Results from this study affirm that novel metabarcoding is a promising screening tool for detection of protozoan pathogens in shellfish.
Identifiants
pubmed: 34215423
pii: S0168-1605(21)00274-9
doi: 10.1016/j.ijfoodmicro.2021.109315
pii:
doi:
Substances chimiques
DNA, Protozoan
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
109315Informations de copyright
Copyright © 2021 Elsevier B.V. All rights reserved.