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皮肤微生物组的物种级别和SNP分析提高了识别法医流体和个体的特异性

Litao Huang¹, Jieyu Du¹, Linying Ye¹

¹Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, Guangdong 510515, China.

Forensic science international. Genetics

|March 12, 2025

概括

使用皮肤微生物的法医识别由于波动而不可靠. 然而,Cutibacterium acnes的细菌单核酸多态性 (SNP) 分析显示,对于个体识别,准确度超过97.5%.

科学领域:

微生物学微生物学
法医科学法医科学法医科学
遗传学是一个遗传学.

背景情况:

人体皮肤含有独特的微生物特征.
以往基于单一时间点的皮肤微生物群的法医鉴定方法由于时间波动而不可靠.
了解皮肤微生物组的动态对于准确的个体鉴定至关重要.

研究的目的:

评估皮肤微生物组的可靠性,以便随着时间的推移对个体进行识别.
探索新的微生物标记物,以加强法医识别.
调查细菌单核酸多态性 (SNP) 分析的个人识别潜力.

主要方法:

在连续时间点从手指,手掌,手臂和额头收集皮肤微生物群样本.
使用全长16S rRNA基因测序进行分类学和遗传学分析.
应用机器学习模型来分析Cutibacterium acnes.的单核酸多态性 (SNP) 资料.

主要成果:

皮肤微生物物种组成在手/手臂和额头部位之间有显著差异.
皮肤微生物群的个体间差异大于个体内差异,但物种级别的识别精度仅为52.5%.
使用Cutibacterium acnes SNP配置文件的机器学习模型在个体分类中实现了超过97.5%的准确性.

结论:

对物种层面的皮肤微生物组分析不足以可靠地识别个体.
细菌SNP分析,特别是Cutibacterium acnes,为法医个人识别提供了一个高度准确的方法.
细菌SNP分析对法医应用具有重大潜力,包括体液和个人识别.

关键词:

细菌的SNP是什么细菌的SNP是什么身体液体识别身体液体识别全长度的16S测序.个人识别个人识别皮肤的微生物组

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