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阴道微生物群的物种级分辨率与短的片

Wei Qing¹, Yiya Shi^1,2, Rongdan Chen¹

¹Microbiome Medicine Center, Division of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, China.

|January 26, 2024

概括

我们确定了使用短DNA序列分析阴道细菌的最佳方法. 这种优化的管道提高了阴道微生物研究和性传播感染病原体检测的准确性.

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.
遗传学遗传学是一个

背景情况:

人体阴道微生物组在健康和疾病中起着至关重要的作用.
准确的物种级认定阴道细菌对于研究至关重要.
目前用于分析阴道微生物群的方法产生不一致的结果.

研究的目的:

评估和确定一个最佳的生物信息管道,用于高分辨率分析阴道微生物群.
为了比较不同的16S rRNA基因区域,原始集,算法和数据库进行分类学分类.
为了验证最优管道的精确性,在物种级别的分辨率和病原体检测.

主要方法:

模拟和实验放大16S rRNA基因区域使用各种原始集.
使用BLAST+,VSEARCH和Sklearn算法与Greengenes2,SILVA和RDP数据库对安普利康的分类学分类.
16S全长序列模拟社区的构建和分析.
在多中心队列中验证最佳管道,以检测性传播感染 (STI) 病原体.

主要成果:

V1-V3_Sklearn_Combined管道实现了最高的准确性 (84.20% ± 2.39%在NCBI数据上,95.65% ± 3.04%在全长数据上).
与最佳管道分类的短安普利康 (V1-V3区域,向前阅读) 最接近模拟社区.
经过验证的管道证明了检测常见的STI病原体的高F1分数.

结论:

使用V1-V3区域放大和Sklearn分类建立了一个最佳管道,用于高分辨率的阴道微生物群分析.
这条管道允许使用短安普利康进行精确的物种级别分辨率.
这些发现将促进更可靠和可比的阴道微生物群研究,并改善病原体检测.

关键词:

16S rRNA 基因测序的基因测序在物种级别的解决方案.分类学分类的分类学分类.阴道的微生物群.

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