相关实验视频

Updated: Sep 9, 2025

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing

Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing

Published on: October 15, 2019

用四个生物信息工作流程处理的全长16S rRNA和非向RNA测序数据的专家可靠性分析来识别废水中的潜在细菌病原体

Pankaj Bhatt¹, Yabing Li¹, John W Norton²

¹Department of Civil and Environmental Engineering, Michigan State University, East Lansing, MI, USA.

|September 3, 2025

概括

使用DNA和RNA方法的废水监测有效地识别细菌病原体,加强公共卫生监测. 结合RNA-Kraken2和DNA-Kraken2为与疾病相关的细菌提供了优越的分类分辨率.

科学领域:

环境微生物学
公共卫生监督
分子诊断

背景情况:

市政废水作为监测排泄细菌的有价值的社区复合样本.
了解废水中的微生物多样性和公共卫生风险对于预防疾病至关重要.

研究的目的:

将DNA (全长16SrRNA) 和非向RNA测序方法与各种生物信息协议集成.
识别废水中的潜在人类细菌病原体,并评估不同监测和分析方法的有效性.

主要方法:

使用全长16S rRNA基因测序和非目标RNA测序.
使用了四个生物信息工作流:DNA-Kraken2,DNA-QIIME2,RNA-DIAMOND和RNA-Kraken2.
进行专家可靠性排名以评估分类解决方案.

主要成果:

DNA监测发现大约50%的病原细菌;RNA监测发现大约33%.
生物信息工作流程检测到70至319种人类致病细菌.
在底特律的废水中发现了889种潜在的致病物种;Acinetobacter,Klebsiella,Streptococcus和Flavobacterium被普遍识别.
RNA-Kraken2和DNA-Kraken2的组合提供了增强的分类分辨率.

结论:

整合DNA和RNA监测提供了一个强大的框架来检测和监测废水中的细菌病原体.
这种多相方法改善了基于废水的流行病学,有助于改善公共卫生准备和病原体追踪.
这项研究确定了像Acinetobacter,Klebsiella,Streptococcus和Flavobacterium这样的关键基因在废水中的重要潜在病原体.

关键词:

细菌病原体新出现的疾病人类健康废水监测

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