Rapid and facile detection of largemouth bass ranavirus with CRISPR/Cas13a.

CRISPR/Cas13a Detection LMBV Lateral flow strips RAA

Journal

Fish & shellfish immunology
ISSN: 1095-9947
Titre abrégé: Fish Shellfish Immunol
Pays: England
ID NLM: 9505220

Informations de publication

Date de publication:
19 Mar 2024
Historique:
received: 04 01 2024
revised: 03 03 2024
accepted: 18 03 2024
medline: 22 3 2024
pubmed: 22 3 2024
entrez: 21 3 2024
Statut: aheadofprint

Résumé

Largemouth bass ranavirus (LMBV) is an epidemic disease that seriously jeopardizes the culture of largemouth bass(Micropterus salmoides), and it has a very high incidence in largemouth bass. Once an outbreak occurs, it may directly lead to the failure of the culture, resulting in substantial economic losses, but there is no effective vaccine or special effective drug yet. Consequently, it is important to establish an accurate, sensitive, convenient and specific detection approach for preventing LMBV infection. The recombinant enzyme-assisted amplification (RAA) technology was used in combination with clustered regularly interspaced short palindromic repeats (CRISPR), and associated protein 13a (CRISPR/Cas13a) to detect LMBV. We designed RAA primers and CRISPR RNA (crRNA) that targeted the conserved region in the LMBV main capsid protein (MCP) gene, amplified sample nucleic acids using the RAA technology, performed CRISPR/Cas13a fluorescence detection and evaluated the sensitivity and specificity of the established method with qPCR as a control method. This technique was able to determine the results by collecting fluorescence signals, visualizing fluorescence by UV excitation and combining with lateral flow strips (LFS). The sensitivity and specificity of the established method were consistent with the qPCR method. Besides, it was performed at a constant temperature of 37 °C and the sensitivity of the reaction system was 3.1 × 10

Identifiants

pubmed: 38513916
pii: S1050-4648(24)00161-X
doi: 10.1016/j.fsi.2024.109517
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

109517

Informations de copyright

Copyright © 2024. Published by Elsevier Ltd.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors state that they have no known economic interests or personal relationships that may affect the work reported in this paper.

Auteurs

Min Guang (M)

College of Animal Science and Technology, Yangtze University, Jingzhou, 434023, China.

Qian Zhang (Q)

College of Animal Science and Technology, Yangtze University, Jingzhou, 434023, China.

Ruige Chen (R)

College of Animal Science and Technology, Yangtze University, Jingzhou, 434023, China.

Huaming Li (H)

College of Animal Science and Technology, Yangtze University, Jingzhou, 434023, China.

Mengran Xu (M)

College of Animal Science and Technology, Yangtze University, Jingzhou, 434023, China.

Xiaomin Wu (X)

College of Animal Science and Technology, Yangtze University, Jingzhou, 434023, China.

Rongrong Yang (R)

College of Animal Science and Technology, Yangtze University, Jingzhou, 434023, China.

HongBo Wei (H)

College of Animal Science and Technology, Yangtze University, Jingzhou, 434023, China.

Linzhu Ren (L)

College of Animal Sciences, Jilin University, Changchun, 130062, China.

Liancheng Lei (L)

College of Animal Science and Technology, Yangtze University, Jingzhou, 434023, China; State Key Laboratory for Zoonotic Diseases, College of Veterinary Medicine, Jilin University, Changchun, 130062, China.

Fuxian Zhang (F)

College of Animal Science and Technology, Yangtze University, Jingzhou, 434023, China. Electronic address: zhangfuxian99@163.com.

Classifications MeSH