A novel, rapid, and simple PMA-qPCR method for detection and counting of viable Brucella organisms

Author:

Zhang Shi-Jun1,Wang Lu-Lu1,Lu Shi-Ying1,Hu Pan1,Li Yan-Song1,Zhang Ying1,Chang Heng-Zhen1,Zhai Fei-Fei1,Liu Zeng-Shan1,Li Zhao-Hui1,Ren Hong-Lin1

Affiliation:

1. Key Laboratory of Zoonosis Research, Ministry of Education, Institute of Zoonosis, College of Veterinary Medicine, College of Animal Sciences, Jilin University , Xi An Da Lu 5333 , Changchun 130062 , China

Abstract

Abstract Introduction The plate counting method widely used at present to discern viable from non-viable Brucella in the host or cell is time-consuming and laborious. Therefore, it is necessary to establish a rapid, simple method for detecting and counting viable Brucella organisms. Material and Methods Using propidium monoazide (PMA) to inhibit amplification of DNA from dead Brucella, a novel, rapid PMA-quantitative PCR (PMA-qPCR) detection method for counting viable Brucella was established. The standard recombinant plasmid with the target BCSP31 gene fragment inserted was constructed for drawing a standard curve. The reaction conditions were optimised, and the sensitivity, specificity, and repeatability were analysed. Results The optimal exposure time and working concentration of PMA were 10 min and 15 μg/mL, respectively. The correlation coefficient (R2) of the standard curve was 0.999. The sensitivity of the method was 103 CFU/mL, moreover, its specificity and repeatability also met the requirements. The concentration of B. suis measured by the PMA-qPCR did not differ significantly from that measured by the plate counting method, and the concentrations of viable bacteria in infected cells determined by the two methods were of the same order of magnitude. Conclusion In this study, a rapid and simple PMA-qPCR counting method for viable Brucella was established, which will facilitate related research.

Publisher

Walter de Gruyter GmbH

Subject

General Veterinary

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3