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Detection and Quantification of the Oomycete Saprolegnia parasitica in Aquaculture Environments
Saprolegnia parasitica induces heavy mortality in aquaculture. The detection of S. parasitica is often time consuming and uncertain, making it difficult to manage the disease. We validated a previously published real-time quantitative PCR (qPCR) assay to confirm the presence of S. parasitica in fish...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9694653/ https://www.ncbi.nlm.nih.gov/pubmed/36363778 http://dx.doi.org/10.3390/microorganisms10112186 |
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author | Korkea-aho, Tiina Wiklund, Tom Engblom, Christine Vainikka, Anssi Viljamaa-Dirks, Satu |
author_facet | Korkea-aho, Tiina Wiklund, Tom Engblom, Christine Vainikka, Anssi Viljamaa-Dirks, Satu |
author_sort | Korkea-aho, Tiina |
collection | PubMed |
description | Saprolegnia parasitica induces heavy mortality in aquaculture. The detection of S. parasitica is often time consuming and uncertain, making it difficult to manage the disease. We validated a previously published real-time quantitative PCR (qPCR) assay to confirm the presence of S. parasitica in fish and in water using environmental DNA (eDNA) quantification. Analytical sensitivity and specificity of the assay was assessed in silico, in vitro and the qPCR assay was compared with microbiological cultivation methods to detect and quantify S. parasitica in water samples from a controlled fish exposure experiment and from fish farms. Furthermore, we compared the use of an agar cultivation method and the qPCR assay to detect S. parasitica directly from mucus samples taken from the fish surface. The analytical sensitivity and specificity of the qPCR assay were high. The qPCR assay detected 100% of S. parasitica-positive water samples. In a field study, the qPCR assay and a microwell plate (MWP) enumeration method correlated significantly. Furthermore, the qPCR assay could be used to confirm the presence of S. parasitica in skin mucus. Thus, the qPCR assay could complement diagnostic methods in specifically detecting saprolegniosis in fish and used as a surveillance method for S. parasitica pathogen in aquaculture environments. |
format | Online Article Text |
id | pubmed-9694653 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-96946532022-11-26 Detection and Quantification of the Oomycete Saprolegnia parasitica in Aquaculture Environments Korkea-aho, Tiina Wiklund, Tom Engblom, Christine Vainikka, Anssi Viljamaa-Dirks, Satu Microorganisms Article Saprolegnia parasitica induces heavy mortality in aquaculture. The detection of S. parasitica is often time consuming and uncertain, making it difficult to manage the disease. We validated a previously published real-time quantitative PCR (qPCR) assay to confirm the presence of S. parasitica in fish and in water using environmental DNA (eDNA) quantification. Analytical sensitivity and specificity of the assay was assessed in silico, in vitro and the qPCR assay was compared with microbiological cultivation methods to detect and quantify S. parasitica in water samples from a controlled fish exposure experiment and from fish farms. Furthermore, we compared the use of an agar cultivation method and the qPCR assay to detect S. parasitica directly from mucus samples taken from the fish surface. The analytical sensitivity and specificity of the qPCR assay were high. The qPCR assay detected 100% of S. parasitica-positive water samples. In a field study, the qPCR assay and a microwell plate (MWP) enumeration method correlated significantly. Furthermore, the qPCR assay could be used to confirm the presence of S. parasitica in skin mucus. Thus, the qPCR assay could complement diagnostic methods in specifically detecting saprolegniosis in fish and used as a surveillance method for S. parasitica pathogen in aquaculture environments. MDPI 2022-11-03 /pmc/articles/PMC9694653/ /pubmed/36363778 http://dx.doi.org/10.3390/microorganisms10112186 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Korkea-aho, Tiina Wiklund, Tom Engblom, Christine Vainikka, Anssi Viljamaa-Dirks, Satu Detection and Quantification of the Oomycete Saprolegnia parasitica in Aquaculture Environments |
title | Detection and Quantification of the Oomycete Saprolegnia parasitica in Aquaculture Environments |
title_full | Detection and Quantification of the Oomycete Saprolegnia parasitica in Aquaculture Environments |
title_fullStr | Detection and Quantification of the Oomycete Saprolegnia parasitica in Aquaculture Environments |
title_full_unstemmed | Detection and Quantification of the Oomycete Saprolegnia parasitica in Aquaculture Environments |
title_short | Detection and Quantification of the Oomycete Saprolegnia parasitica in Aquaculture Environments |
title_sort | detection and quantification of the oomycete saprolegnia parasitica in aquaculture environments |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9694653/ https://www.ncbi.nlm.nih.gov/pubmed/36363778 http://dx.doi.org/10.3390/microorganisms10112186 |
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