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一种用于检测禽偏肺病毒A、B和C亚型的一步多重实时荧光定量PCR检测方法的建立与应用

Establishment and application of a one-step multiplex real-time PCR assay for detection of A, B, and C subtypes of avian metapneumovirus.

作者信息

Su Mingjun, Cheng Jiongze, Xu Xiangwen, Liu Yijia, Zhao Yulin, Wang Yutao, Du Xiaoxu, Ying Jiale, Yan Junfang, Zheng Huihua, Cheng Changyong, Sun Jing

机构信息

Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, Zhejiang Provincial Engineering Research Center for Animal Health Diagnostics & Advanced Technology, Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, China-Australia Joint Laboratory for Animal Health Big Data Analytics, College of Animal Science and Technology & College of Veterinary Medicine of Zhejiang A&F University, 666 Wusu Street, Lin'an District, Hangzhou, Zhejiang Province 311300, China.

Key Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, Zhejiang Provincial Engineering Research Center for Animal Health Diagnostics & Advanced Technology, Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, China-Australia Joint Laboratory for Animal Health Big Data Analytics, College of Animal Science and Technology & College of Veterinary Medicine of Zhejiang A&F University, 666 Wusu Street, Lin'an District, Hangzhou, Zhejiang Province 311300, China.

出版信息

Poult Sci. 2025 Jan;104(1):104608. doi: 10.1016/j.psj.2024.104608. Epub 2024 Nov 30.

Abstract

Avian metapneumovirus (aMPV) represents a significant threat to the poultry industry, exhibiting a high degree of genetic diversity. Of these, the aMPV types A (aMPV-A), B (aMPV-B) and C (aMPV-C) are frequently detected in Chinese waterfowl and live poultry markets. Therefore, the rapid and accurate identification of these subtypes is of paramount importance in order to halt the spread of the disease. In this study, we have developed a multiplex real-time PCR assay endowed with the capacity to simultaneously discriminate aMPV-A, aMPV-B, and aMPV-C. This method demonstrates remarkable specificity, selectively amplifying aMPV-A, aMPV-B, and aMPV-C without cross-reactivity with other common avian pathogens. Furthermore, this method exhibits high sensitivity, with a detection threshold of 8.5 × 10 copies/μL for aMPV-A, aMPV-B, and aMPV-C. Moreover, the assay demonstrates reproducibility, as evidenced by intra- and inter-assay variability, with a coefficient of variation between 0.21% and 1.91%. Additionally, the receiver operating characteristic (ROC) curve analysis demonstrated that the multiplex real-time PCR assay exhibited high specificity and sensitivity (100.0% and 100.0% for aMPV-A, 90.9% and 100.0% for aMPV-B, 100% and 96.8% for aMPV-C) when compared with the classical aMPV real-time RT-PCR. Analyses of field samples (n=105) using the multiplex real-time PCR assay indicated that 35.2% (37/105) of samples were positive for aMPV, of which 29.7% (11/37) for aMPV-A, 32.4% (12/37) for aMPV-B and 37.8% (14/37) for aMPV-C. These data demonstrated that the multiplex real-time PCR assay can be used for epidemiological investigations of tree subtypes of aMPV and that aMPV had been observed to exhibit a proclivity for multiple types of co-infection in the Zhejiang province of China.

摘要

禽偏肺病毒(aMPV)对家禽业构成重大威胁,具有高度的遗传多样性。其中,aMPV A型(aMPV-A)、B型(aMPV-B)和C型(aMPV-C)在中国水禽和活禽市场中经常被检测到。因此,快速准确地鉴定这些亚型对于遏制疾病传播至关重要。在本研究中,我们开发了一种多重实时荧光定量PCR检测方法,能够同时区分aMPV-A、aMPV-B和aMPV-C。该方法具有显著的特异性,能选择性地扩增aMPV-A、aMPV-B和aMPV-C,且与其他常见禽病原体无交叉反应。此外,该方法灵敏度高,aMPV-A、aMPV-B和aMPV-C的检测阈值为8.5×10拷贝/μL。而且,该检测方法具有可重复性,通过批内和批间变异可证明,变异系数在0.21%至1.91%之间。此外,与经典的aMPV实时逆转录PCR相比,受试者工作特征(ROC)曲线分析表明,多重实时荧光定量PCR检测方法具有高特异性和高灵敏度(aMPV-A为100.0%和100.0%;aMPV-B为90.9%和100.0%;aMPV-C为100%和96.8%)。使用多重实时荧光定量PCR检测方法对105份现场样本进行分析表明,35.2%(37/105)的样本aMPV呈阳性,其中aMPV-A占29.7%(11/37),aMPV-B占32.4%(12/37),aMPV-C占37.8%(14/37)。这些数据表明,多重实时荧光定量PCR检测方法可用于aMPV三种亚型的流行病学调查,并且在中国浙江省观察到aMPV有多种类型共感染的倾向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2c71/11665345/3eec09f1b990/gr1.jpg

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