Zhong Ying, Pan Qingyun, Wang Yu, Yu Jinyan, Li Yaomen, Gu Lifang, Hou Meicun, Liang Shenglong, Guo Jia, Jiao Xinan, Zhang Yunzeng
Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou 225009, China.
Jiangsu Key Laboratory of Zoonosis, Yangzhou University, Yangzhou 225009, China.
Microorganisms. 2025 Mar 28;13(4):777. doi: 10.3390/microorganisms13040777.
Rapid and accurate detection of the causes of gastrointestinal diseases in farmed and companion animals is crucial for advancing livestock farming and safeguarding public health safety. Diseases caused by pathogenic bacteria infections often result in the overrepresentation of pathogens in the gut microbiota; however, gut microbiota dysbiosis without obvious pathogen overrepresentation can also lead to disorders such as inflammatory bowel disease (IBD). Traditional cultivation-based diagnostic methods are time-consuming and ineffective in identifying microbiota dysbiosis-associated diseases. In this study, we developed a sample-to-answer MinION full-length 16S rDNA sequencing analysis pipeline, accompanied by detailed bioinformatics scripts, for the rapid diagnosis of animal gastrointestinal diseases. The pipeline enables the detection of pathogens and microbiota dysbiosis-associated diseases in approximately six hours. The pipeline showed high sensitivity and specificity, as evident by the analysis of artificially contaminated samples, and accurately diagnosed bacterial infections in five cases, including chicken, duckling, and piglet samples from their respective farms, as well as a companion cat, outperforming traditional methods. It also rapidly identified IBD in five companion animals. The findings highlight the potential application of our developed sample-to-answer analysis pipeline in pathogen detection and the diagnosis of gut microbiota dysbiosis-related diseases in animals, thereby improving livestock health and public safety.
快速准确地检测养殖动物和伴侣动物胃肠道疾病的病因对于推进畜牧业发展和保障公共卫生安全至关重要。由病原菌感染引起的疾病通常会导致肠道微生物群中病原体的过度富集;然而,肠道微生物群失调且无明显病原体过度富集也可能导致诸如炎症性肠病(IBD)等疾病。传统的基于培养的诊断方法在识别与微生物群失调相关的疾病时既耗时又低效。在本研究中,我们开发了一种从样本到答案的MinION全长16S rDNA测序分析流程,并配有详细的生物信息学脚本,用于快速诊断动物胃肠道疾病。该流程能够在大约六小时内检测出病原体和与微生物群失调相关的疾病。通过对人工污染样本的分析可知,该流程具有高灵敏度和特异性,并且准确诊断出了五例细菌感染病例,包括来自各自养殖场的鸡、小鸭和小猪样本,以及一只伴侣猫,其性能优于传统方法。它还快速识别出了五只伴侣动物中的炎症性肠病。这些发现凸显了我们开发的从样本到答案分析流程在病原体检测以及动物肠道微生物群失调相关疾病诊断中的潜在应用,从而改善家畜健康和公共安全。