Estimation of the number of Anisakis larvae in commercial fish using a descriptive model based on real-time PCR

Publication date

2020-11-04T09:50:22Z

2021-08-08T05:10:18Z

2020-08-08

2020-11-04T09:50:22Z

Abstract

BACKGROUND: Seafood parasitation by Anisakis (Anisakidae) larvae has been reported in most of the oceans and seas worldwide.The presence of these nematodes in commonly consumed fish represents a potential hazard for consumers as they can provoke gastrointestinal symptoms and allergic reactions. In the present work, the capacity of a SYBR Green qPCR protocol to quantify Anisakis larvae in commercial fish was evaluated using experimentally spiked samples with different numbers (0-50) of A. simplex third-stage larvae (L3). To verify the agreement of the obtained results, 25 naturally infected fish specimens of Atlantic blue whiting underwent a parallel visual inspection. RESULTS: The logarithmic behavior of the Cq data obtained from the experimentally spiked samples allowed the development of a descriptive mathematical model that correlates the Cq value with the number of Anisakis larvae (R2 = 0.9908, CV = 2.37%). In the commercial blue whiting specimens there was a high correlation between the results of the molecular technique and the visual inspection (R2 = 0.9912); the Bland-Altman analysis showed that 94% of the differences were within the limits of agreement (−4.98 and 6.68), indicating the reliability of the descriptive mathematical model based on the SYBR Green qPCR technique. CONCLUSION: The descriptive function presented based on the SYBR Green qPCR assay is promising as a sensitive and accurate tool for measuring the Anisakis larval load in commercial fish, with a potential application not only in the food industry but also in prevention programs for public health.

Document Type

Article


Accepted version

Language

English

Publisher

Wiley

Related items

Versió postprint del document publicat a: https://doi.org/10.1002/jsfa.10718

Journal of the Science of Food and Agriculture, 2020

https://doi.org/10.1002/jsfa.10718

Recommended citation

This citation was generated automatically.

Rights

(c) Society of Chemical Industry, 2020

This item appears in the following Collection(s)