Evaluation of two real-time PCR methods to detect Yersinia enterocolitica in bivalve molluscs collected in Campania region

小肠结肠炎耶尔森菌 耶尔森尼亚 生物 肠杆菌科 荧光染料 病菌 人畜共患病 微生物学 血清型 聚合酶链反应 基因 大肠杆菌 遗传学 病毒学 细菌
作者
Andrea Mancusi,Elisabetta Delibato,Maria Francesca Peruzy,Santa Girardi,Orlandina Di Maro,Daniela Cristiano,Eleonora Ventola,Irene Dini,Yolande Thérèse Rose Proroga
出处
期刊:Food Research International [Elsevier]
卷期号:192: 114789-114789
标识
DOI:10.1016/j.foodres.2024.114789
摘要

Yersinia enterocolitica (Ye) is a foodborne pathogen isolated from humans, food, animals, and the environment. Yersiniosis is the third most frequently reported foodborne zoonosis in the European Union. Ye species are divided into six biotypes 1A, 1B, 2, 3, 4, and 5, based on biochemical reactions and about 70 serotypes. Biotype 1A is non-pathogenic, 1B is highly pathogenic, and biotypes 2–5 have moderate or low pathogenicity. The reference analysis method for detecting pathogenic Ye species underestimates the presence of the pathogen due to similarities between Yersinia enterocolitica-like species and other Yersiniaceae and/or Enterobacteriaceae, low concentrations of distribution pathogenic strains and the heterogeneity of Yersinia enterocolitica species. In this study, the real-time PCR method ISO/TS 18867 to identify pathogenic biovars of Ye in bivalve molluscs was validated. The sensitivity, specificity and accuracy of the molecular method were evaluated using molluscs experimentally contaminated. The results fully agree with those obtained with the ISO 10273 method. Finally, we evaluated the presence of Ye in seventy commercial samples of bivalve molluscs collected in the Gulf of Naples using ISO/TS 18867. Only one sample tested resulted positive for the ail gene, which is considered the target gene for detection of pathogenic Ye according to ISO/TS 18867. Additionally, the presence of the ystB gene, used as target for Ye biotype 1A, was assessed in all samples using a real-time PCR SYBR Green platform. The results showed amplification ystB gene aim two samples.

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