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一种用于布鲁氏菌S2疫苗株差异检测的qPCR方法的建立与应用

Establishment and application of a qPCR method for differential detection of Brucella S2 vaccine strain.

作者信息

Meng Xianran, Li Zheng, Zhang Yating, Yu Yu, Wang Wenlong, Liu Chunxia

机构信息

College of Veterinary Medicine, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia, China.

Ordos Animal Disease Prevention and Control Center, Ordos, Inner Mongolia, China.

出版信息

BMC Vet Res. 2025 Apr 2;21(1):238. doi: 10.1186/s12917-025-04635-w.

Abstract

BACKGROUND

Brucellosis is one of the most serious zoonotic bacterial diseases in the world. The disease has caused serious harm to people and livestock, hindered the healthy development of the breeding industry, and led to serious economic losses.At present, the prevention and control of this kind of disease is still based on vaccine immunization. However, after the widely used vaccine is inoculated to livestock, there is no widely used differential diagnosis method to distinguish vaccine immune antibodies from natural infection antibodies. Quarantine and purification work is difficult to carry out. In addition, there are few studies using real-time PCR(qPCR) methods in the differential diagnosis of natural virulent strains and vaccine strains of brucellosis.The purpose of this study is to establish a rapid, sensitive and accurate differential diagnosis method for Brucella S2 vaccine strain, and to solve the problem of lack of identification of Brucella S2 vaccine strain and natural virulent strain in clinical detection.It avoids the killing of some livestock due to the positive antibody of the Brucella S2 vaccine strain, and can also identify sick animals from immune herds, reducing the economic losses of farms, and providing certain technical support for the quarantine and purification of epidemic diseases.

RESULTS

In this study, combined with TaqMan probe-based qPCR technology, specific primers and probes were designed according to the specific deletion genes of the Brucella S2 vaccine strain,which could be used as marker genes.The qPCR and duplex qPCR detection methods of Brucella were successfully established.The method has good specificity, sensitivity and repeatability, the lowest limit of detection can reach 1 × 10 copies/μL, the sensitivity is about 100 times higher than that of conventional PCR, and there is no cross-reaction with Escherichia coli,Salmonella,streptococcus and other common strains.The coefficient of variation between groups was less than 0.6%, and the coefficient of variation within groups was less than 0.55%.Subsequently, this method was used to monitor the antibody levels in goat inoculated with different doses of Brucella S2 vaccine strain, and the method could also detect the corresponding nucleic acid signals in goat milk samples, and the clinical samples were detected. In summary, this method has good specificity, sensitivity and repeatability, and can be used for the differential diagnosis of clinical brucellosis.

CONCLUSIONS

This study successfully established a duplex qPCR detection method for the differential diagnosis of the Brucella S2 vaccine strain. From the establishment of the method to the clinical application of the method, it shows that the method can be used for the differential diagnosis of clinical brucellosis.

摘要

背景

布鲁氏菌病是世界上最严重的人畜共患细菌性疾病之一。该疾病对人和牲畜造成了严重危害,阻碍了养殖业的健康发展,并导致了严重的经济损失。目前,这类疾病的防控仍以疫苗免疫为主。然而,广泛使用的疫苗接种到牲畜后,尚无广泛应用的鉴别诊断方法来区分疫苗免疫抗体和自然感染抗体。检疫和净化工作难以开展。此外,在布鲁氏菌病自然强毒株和疫苗株的鉴别诊断中,使用实时荧光定量聚合酶链反应(qPCR)方法的研究较少。本研究的目的是建立一种快速、灵敏、准确的布鲁氏菌S2疫苗株鉴别诊断方法,解决临床检测中布鲁氏菌S2疫苗株与自然强毒株鉴别缺乏的问题。避免因布鲁氏菌S2疫苗株抗体阳性而扑杀部分牲畜,还能从免疫畜群中识别出患病动物,减少养殖场的经济损失,为疫病的检疫和净化提供一定的技术支持。

结果

本研究结合基于TaqMan探针的qPCR技术,根据布鲁氏菌S2疫苗株的特异性缺失基因设计了特异性引物和探针,可作为标记基因。成功建立了布鲁氏菌的qPCR和双重qPCR检测方法。该方法具有良好的特异性、灵敏性和重复性,最低检测限可达1×10拷贝/μL,灵敏性约为传统PCR的100倍,与大肠杆菌、沙门氏菌、链球菌等常见菌株无交叉反应。组间变异系数小于0.6%,组内变异系数小于0.55%。随后,该方法用于监测接种不同剂量布鲁氏菌S2疫苗株山羊的抗体水平,该方法还能检测山羊奶样中相应的核酸信号,并对临床样本进行检测。综上所述,该方法具有良好的特异性、灵敏性和重复性,可用于临床布鲁氏菌病的鉴别诊断。

结论

本研究成功建立了用于布鲁氏菌S2疫苗株鉴别诊断的双重qPCR检测方法。从方法的建立到方法的临床应用,表明该方法可用于临床布鲁氏菌病的鉴别诊断。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9649/11963304/831d68944b2c/12917_2025_4635_Fig1_HTML.jpg

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