Development of Three Recombinase Polymerase Amplification Assays for the Rapid Visual Detection of <i>Spiroplasma eriocheiris</i>

Spiroplasma eriocheiris is a pathogen in the Chinese mitten crab Eriocheir sinensis and is associated with tremor disease. S. eriocheiris infects virtually all artificially bred crustaceans, resulting in significant economic losses to the aquaculture industry in China. Recombinase polymerase amplification (RPA) is considered a promising technology for the rapid and sensitive detection of disease. For the rapid detection of S. eriocheiris, this study established basic RPA, RPA-EXO and RPA-LFD, which were visualised via agarose gel electrophoresis, SYBR Green I, fluorescence signals and test lines on lateral flow dipsticks. Specific primers and probes were designed based on the 16S ribosomal RNA sequence of S. eriocheiris. The optimal primer pairs for the basic RPA, RPA-EXO and RPA-LFD were RPA-F3/R3, RPA-F3/R3 and RPA-LFD-F3/R3, respectively. The optimal temperatures and times of basic RPA, RPA-EXO and RPA-LFD were 37°C for 25 min, 39°C for 30 min and 39°C for 10 min, respectively. The specificity test indicated that in addition to the positive test results for S. eriocheiris, the other five DNA templates tested negative, demonstrating strong specificity. The results of the sensitivity test revealed that the detection limits of RPA, RPA-EXO and RPA-LFD were 5.77 × 10<sup>-2</sup>, 5.77 × 10<sup>-4</sup> and 1.52 × 10<sup>-6</sup> ng/μL, respectively, indicating high sensitivity. This study established three methods for the detection of S. eriocheiris that are characterised by a constant temperature, rapid response, high sensitivity and strong specificity.

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Publication Details

Journal
Journal of Fish Diseases
Published
2024-11-21
DOI
https://doi.org/10.1111/jfd.14031
Primary Topic
Aquaculture disease management and microbiota
Type
article
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article

Development of Three Recombinase Polymerase Amplification Assays for the Rapid Visual Detection of Spiroplasma eriocheiris

Dong Zheng, Zongrui Yang, Lirong Jiang, Shun Zhou et al.
Journal of Fish Diseases
Aquaculture disease management and microbiota
article

Development of Three Recombinase Polymerase Amplification Assays for the Rapid Visual Detection of Spiroplasma eriocheiris

Dong Zheng, Zongrui Yang, Lirong Jiang, Shun Zhou, Yunji Xiu, Qingyue Xu, Yiping Lin, Ruixin Feng
article en

Abstract

Spiroplasma eriocheiris is a pathogen in the Chinese mitten crab Eriocheir sinensis and is associated with tremor disease. S. eriocheiris infects virtually all artificially bred crustaceans, resulting in significant economic losses to the aquaculture industry in China. Recombinase polymerase amplification (RPA) is considered a promising technology for the rapid and sensitive detection of disease. For the rapid detection of S. eriocheiris, this study established basic RPA, RPA-EXO and RPA-LFD, which were visualised via agarose gel electrophoresis, SYBR Green I, fluorescence signals and test lines on lateral flow dipsticks. Specific primers and probes were designed based on the 16S ribosomal RNA sequence of S. eriocheiris. The optimal primer pairs for the basic RPA, RPA-EXO and RPA-LFD were RPA-F3/R3, RPA-F3/R3 and RPA-LFD-F3/R3, respectively. The optimal temperatures and times of basic RPA, RPA-EXO and RPA-LFD were 37°C for 25 min, 39°C for 30 min and 39°C for 10 min, respectively. The specificity test indicated that in addition to the positive test results for S. eriocheiris, the other five DNA templates tested negative, demonstrating strong specificity. The results of the sensitivity test revealed that the detection limits of RPA, RPA-EXO and RPA-LFD were 5.77 × 10<sup>-2</sup>, 5.77 × 10<sup>-4</sup> and 1.52 × 10<sup>-6</sup> ng/μL, respectively, indicating high sensitivity. This study established three methods for the detection of S. eriocheiris that are characterised by a constant temperature, rapid response, high sensitivity and strong specificity.

Journal of Fish DiseasesVol. 48(2)
Qingdao Agricultural University (CN)
Openalex Percentile: Top 73%
Aquaculture disease management and microbiota
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