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Updated: Aug 14, 2026

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使用下一代测序数据 (QIIME 2软件) 对日本女性阴道微生物群分析有用的数据库进行比较

Xianya Zou^1,2, Yukiko Nakura¹, Haruna Kawaguchi^1,3

¹Department of Developmental Medicine, Research Institute, Osaka Women's and Children's Hospital, 840 Murodo-cho, Izumi City, Osaka 594-1101, Japan.

Journal of applied microbiology

|November 27, 2023

概括

准确分析阴道微生物群是预防早产的关键. 对于日本女性来说,基本局部对齐搜索工具 (BLAST) 数据库提供了与其他16S rRNA数据库相比更好的潜在有害细菌识别.

科学领域:

微生物学微生物学
生物信息学是一种生物信息学.
基因组学就是基因组学.

背景情况:

在全球范围内,早产影响了大约10%的儿童.
怀孕期间的细菌性阴道炎是早产的重要危险因素.
精确的物种级别认定阴道微生物群对于管理细菌诱导的早产至关重要.

研究的目的:

为了比较不同16S rRNA基因序列数据库的有效性,用于识别日本女性潜在的致病性阴道微生物群.
为了评估阴道微生物群评估的生物信息分析方法.
为了确定下一代测序 (NGS) 数据分析在这个群体中最优的数据库.

主要方法:

来自日本女性阴道微生物群样本的16S rRNA基因序列的生物信息分析.
对比Silva,Greengenes和基本本地对齐搜索工具 (BLAST) 数据库.
使用 16S rRNA 的 V3-V4 区域与下一代测序 (NGS) 数据和 QIIME 2 平台.

主要成果:

基本本地对齐搜索工具 (BLAST) 数据库,当与QIIME 2平台一起使用时,显示了下一代测序 (NGS) 数据的更高的分类质量.
与Silva数据库和Silva/Greengenes数据库相比,NGS数据的BLAST对齐显示出更高的性能.
数据库的选择显著影响了已识别的序列的百分比,分类学排名和整体准确性.

结论:

在对阴道微生物群数据进行生物信息处理时,选择参考数据库至关重要.
建议使用BLAST数据库作为日本女性阴道微生物群下一代测序 (NGS) 数据分析的最佳选择.
这一发现有助于提高诊断准确度和预防早产的潜在干预措施.

关键词:

16S rRNA 是一个16S rRNA.照明灯 MiSeqq 的时间在 QIIME2 中,QIIME2 包含了 QIIME2 及 QIIME2.微生物组是一个微生物组.阅读阅读阅读阅读阅读分类学分类学.

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