A CRISPR/Cas12a-assisted rapid detection platform by biosensing the apxIVA of Actinobacillus pleuropneumoniae

被引:6
|
作者
Luan, Tian [1 ]
Wang, Lu [2 ]
Zhao, Jiyu [3 ]
Luan, Hui [1 ]
Zhang, Yueling [1 ]
Wang, Chunlai [1 ]
Langford, Paul R. [4 ]
Liu, Siguo [1 ]
Zhang, Wanjiang [1 ]
Li, Gang [1 ]
机构
[1] Chinese Acad Agr Sci, Harbin Vet Res Inst, Div Bacterial Dis, State Key Lab Vet Biotechnol, Harbin, Peoples R China
[2] Xinjiang Agr Univ, Coll Vet Med, Xinjiang, Peoples R China
[3] Northeast Agr Univ, Coll Vet Med, Harbin, Peoples R China
[4] Imperial Coll London, Dept Infect Dis, Sect Paediat Infect Dis, St Marys Campus, London, England
基金
英国生物技术与生命科学研究理事会;
关键词
CRISPR; Cas12a; crRNA; Actinobacillus pleuropneumoniae; diagnostics; UPPER RESPIRATORY-TRACT; HAEMOPHILUS-PARASUIS; PCR; PIGS; IDENTIFICATION; ANTIBODIES; ASSAY; GENE; GENOME; TOXINS;
D O I
10.3389/fmicb.2022.928307
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Actinobacillus pleuropneumoniae is an important respiratory pig pathogen that causes substantial losses in the worldwide swine industry. Chronic or subclinical infection with no apparent clinical symptoms poses a challenge for preventing transmission between herds. Rapid diagnostics is important for the control of epidemic diseases. In this study, we formulated an A. pleuropneumoniae species-specific apxIVA-based CRISPR/Cas12a-assisted rapid detection platform (Card) that combines recombinase polymerase amplification (RPA) of target DNA and subsequent Cas12a ssDNase activation. Card has a detection limit of 10 CFUs of A. pleuropneumoniae, and there is no cross-reactivity with other common swine pathogens. The detection process can be completed in 1 h, and there was 100% agreement between the conventional apxIVA-based PCR and Card in detecting A. pleuropneumoniae in lung samples. Microplate fluorescence readout enables high-throughput use in diagnostic laboratories, and naked eye and lateral flow test readouts enable use at the point of care. We conclude that Card is a versatile, rapid, accurate molecular diagnostic platform suitable for use in both laboratory and low-resource settings.
引用
收藏
页数:11
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