Huang Yu, Gu Dan, Xue Han, Yu Jinyan, Tang Yuanyue, Huang Jinlin, Zhang Yunzeng, Jiao Xinan
Jiangsu Co-innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou, China.
Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou, China.
Front Microbiol. 2021 Apr 27;12:649010. doi: 10.3389/fmicb.2021.649010. eCollection 2021.
is among the most prevalent foodborne zoonotic pathogens leading to diarrheal diseases. In this study, we developed a CRISPR-Cas12b-based system to rapidly and accurately detect contamination. Identification of -specific and -conserved genomic signatures is a fundamental step in development of the detection system. By comparing genome sequences with those of the closely related , followed by comprehensive online BLAST searches, a 20-bp -conserved (identical in 1024 out of 1037 analyzed genome sequences) and -specific (no identical sequence detected in non- strains) sequence was identified and the system was then assembled. In further experiments, strong green fluorescence was observed only when DNA was present in the system, highlighting the specificity of this system. The assay, with a sample-to-answer time of ∼40 min, positively detected chicken samples that were contaminated with a dose of approximately 10 CFU per gram of chicken, which was >10 times more sensitive than the traditional isolation method, suggesting that this method shows promise for onsite detection. This study provides an example of bioinformatics-guided CRISPR-Cas12b-based detection system development for rapid and accurate onsite pathogen detection.
是导致腹泻疾病的最常见食源性人畜共患病原体之一。在本研究中,我们开发了一种基于CRISPR-Cas12b的系统,用于快速准确地检测污染。鉴定特定和保守的基因组特征是检测系统开发的基本步骤。通过将基因组序列与密切相关的序列进行比较,随后进行全面的在线BLAST搜索,鉴定出一个20bp的保守序列(在1037个分析的基因组序列中有1024个相同)和特定序列(在非菌株中未检测到相同序列),然后组装该系统。在进一步的实验中,仅当系统中存在DNA时才观察到强烈的绿色荧光,突出了该系统的特异性。该检测方法的样本到答案时间约为40分钟,能阳性检测出每克鸡肉中污染剂量约为10CFU的鸡肉样本,其灵敏度比传统的分离方法高10倍以上,表明该方法在现场检测方面具有前景。本研究为基于生物信息学指导的CRISPR-Cas12b现场病原体快速准确检测系统开发提供了一个实例。