相关实验视频

Updated: May 15, 2025

Next-generation Sequencing of 16S Ribosomal RNA Gene Amplicons

Next-generation Sequencing of 16S Ribosomal RNA Gene Amplicons

Published on: August 29, 2014

一个高通量和时间高效的纳米孔全长16SrRNA基因测序协议,用于合成微生物群落

Xingjian Zhou¹, Karoline Faust¹

¹Department of Microbiology, Immunology and Transplantation, Rega Institute for Medical Research, Laboratory of Molecular Bacteriology, KU Leuven, Leuven, Belgium.

Methods (San Diego, Calif.)

|April 9, 2025

概括

这项研究引入了一种新的,快速,准确的牛津纳米孔测序协议,用于全长16SrRNA基因分析. 与以前的方法相比,它提高了微生物群体组成的分辨率.

科学领域:

微生物学微生物学
基因组学就是基因组学.
生物信息学是一种生物信息学.

背景情况:

下一代测序 (NGS) 是一种成熟的技术,但使用16SrRNA基因进行物种级微生物社区分析却面临瓶.
限制包括短的阅读长度,劳动密集型的图书馆准备,以及 MiSeq.等标准方法的长周转时间.

研究的目的:

使用牛津纳米孔 (ONT) 技术开发和优化用于全长16SrRNA基因测序的标准化,可重复的工作流.
为了提高微生物社区组成分析的效率,可扩展性和准确性.

主要方法:

利用牛津纳米孔小ION设备进行长读测序的全长16SrRNA基因.
开发并优化了一个精简的图书馆准备协议.
使用合成微生物群落量化协议的可复制性和准确性.
与传统的基于MiSeq的方法进行性能比较.

主要成果:

开发的ONT协议为16S rRNA基因测序提供了更快,更具成本效益的方法.
与MiSeq.相比,在合成社区的微生物群体组成的解析中取得了显著更高的准确性.
证明了可重现的结果,促进了可靠的微生物社区分析.

结论:

优化的ONT协议提供了一个简单,快速和准确的方法来阐明微生物社区的组成.
这一进步解决了当前16S rRNA基因测序工作流程的关键局限性,提高了研究效率和数据可靠性.

关键词:

16S rRNA 基因测序的基因测序高通量的高通量.长读测序技术的长读测序技术.

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Efficient Nucleic Acid Extraction and 16S rRNA Gene Sequencing for Bacterial Community Characterization

Efficient Nucleic Acid Extraction and 16S rRNA Gene Sequencing for Bacterial Community Characterization

Published on: April 14, 2016

Guided Protocol for Fecal Microbial Characterization by 16S rRNA-Amplicon Sequencing

Guided Protocol for Fecal Microbial Characterization by 16S rRNA-Amplicon Sequencing

Published on: March 19, 2018

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