Research Note: Real-time fluorescence-based recombinase-aided amplification for rapid detection of Mycoplasma synoviae.
Mycoplasma synoviae
rapid visual detection
real-time recombinase-aided amplification
Journal
Poultry science
ISSN: 1525-3171
Titre abrégé: Poult Sci
Pays: England
ID NLM: 0401150
Informations de publication
Date de publication:
22 Jun 2024
22 Jun 2024
Historique:
received:
02
04
2024
revised:
11
06
2024
accepted:
19
06
2024
medline:
13
7
2024
pubmed:
13
7
2024
entrez:
12
7
2024
Statut:
aheadofprint
Résumé
Mycoplasma synoviae (MS) is an essential pathogenic mycoplasma in poultry worldwide, posing a serious threat to the poultry industry's health. Timely detection is imperative for early diagnosis, prevention, and control of MS infection. Current laboratory methods for MS detection are generally complicated, time-consuming, and require sophisticated equipment. Therefore, a simple and rapid method is urgently needed. This study developed a novel real-time fluorescence-based recombinase-aided amplification (RF-RAA) technique for detecting MS nucleic acids, enabling target gene amplification within 20 min at 39°C. The RF-RAA outcomes are interpretable in 2 modalities: real-time fluorescence monitoring employing a temperature-controlled fluorescence detector or direct visual inspection facilitated by a portable blue light transilluminator. This method exhibits robust specificity, demonstrating no cross-reactivity with various common poultry pathogens, and achieves high sensitivity, detecting as low as 10 copies/μL for the standard plasmid. Seventy-one clinical samples of chicken throat swabs were detected by RF-RAA and real-time fluorescence quantitative polymerase chain reaction (qPCR) methods. The diagnostic coincidence rates of qPCR with RF-RAA (fluorescence monitoring) and RF-RAA (visual observation) were determined to be 100% and 97.2% (69/71), respectively. In conclusion, the RF-RAA method developed in this study provides a rapid and visually observable approach for MS detection, offering a novel technique to diagnosing MS infection, especially in resource-limited settings.
Identifiants
pubmed: 38996740
pii: S0032-5791(24)00574-1
doi: 10.1016/j.psj.2024.103995
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
103995Informations de copyright
Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.
Déclaration de conflit d'intérêts
DISCLOSURES The authors declare no conflicts of interest.