Establishment of a simple, sensitive, and specific ASFV detection method based on Pyrococcus furiosus argonaute.

African swine fever virus (ASFV) Detection Pyrococcus furiosus argonaute (PfAgo)

Journal

Biosensors & bioelectronics
ISSN: 1873-4235
Titre abrégé: Biosens Bioelectron
Pays: England
ID NLM: 9001289

Informations de publication

Date de publication:
16 Mar 2024
Historique:
received: 28 11 2023
revised: 25 02 2024
accepted: 14 03 2024
medline: 24 3 2024
pubmed: 24 3 2024
entrez: 23 3 2024
Statut: aheadofprint

Résumé

African swine fever (ASF), which is casued by African swine fever virus (ASFV), is a fatal infectious disease of pigs that results in significant losses to the breeding industry. Therefore, screening and detection are crucial for the control and prevention of the ASFV. Argonaute is a new detection tool that is being extensively used due to its high specificity and programmability. This study reports on a new nucleic acid assay method, termed REPD, which uses recombinase-aided amplification and restriction endonuclease-assisted Pyrococcus furiosus argonaute (PfAgo) detection. One-pot REPD was developed for the detection of ASFV. The one-pot REPD could detect a single copy of ASFV nucleic acid and showed no cross-reactivity with other pathogens. Detection in clinical samples was 100% consistent with the results of real-time PCR analysis. The results showed that the one-pot REPD assay is convenient, sensitive, specific, and potentially adaptable to the detection of ASFV. In summary, this study highlights a novel method that can be employed for the detection of pathogens.

Identifiants

pubmed: 38520983
pii: S0956-5663(24)00235-5
doi: 10.1016/j.bios.2024.116230
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

116230

Informations de copyright

Copyright © 2024 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest There are no conflicts of interest in the submission of this manuscript, and all authors have given their approval for publication. I would like to declare on behalf of my co-authors that the work described was original research that has not been published previously, and not under consideration for publication elsewhere, in whole or in part. All the authors listed have approved the manuscript that is enclosed.

Auteurs

Yu Zhao (Y)

Animal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan, China.

Ming Yang (M)

Animal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan, China.

Changyu Zhou (C)

Animal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan, China.

Boyan Guo (B)

Animal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan, China.

Kailu Wang (K)

Animal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan, China.

Cailiang Song (C)

Animal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan, China.

Hongning Wang (H)

Animal Disease Prevention and Food Safety Key Laboratory of Sichuan Province, Key Laboratory of Bio-Resource and Eco-Environment of Ministry of Education, College of Life Sciences, Sichuan University, Chengdu, Sichuan, China. Electronic address: whongning@163.com.

Classifications MeSH