利用微生物检验区分人体不同部位样本初探
Preliminary exploration of distinguishing samples from different parts of human body by microbial testing
彭真 1杨博 1杨帆 2苑美青 2赵兴春3
作者信息
- 1. 山西医科大学法医学院,山西太原 030001
- 2. 公安部鉴定中心,北京 100038
- 3. 山西医科大学法医学院,山西太原 030001;公安部鉴定中心,北京 100038
- 折叠
摘要
目的 探索利用微生物组追溯人体生物样本部位来源的可行性,为案件侦查提供新思路.方法 连续三个月采集 10 名志愿者的口腔颊黏膜、足弓、腋窝等部位的生物样本,利用 16SrRNA基因序列信息确认样本的微生物群落结构,进行微生物群落多样性分析和随机森林分类预测模型的构建.结果 人体三个部位生物样本的微生物群落结构存在显著差异.本研究成功构建了准确率高达90%以上的随机森林三分类预测模型.结论 本研究构建的利用人源生物样本的微生物组信息判断其来源部位的分类预测模型,拓宽了人体微生物的法医学应用场景.
Abstract
Objective To explore the feasibility of tracing the source of human biological samples by microbiome,and provide new ideas for case investigation.Methods Biological samples from buccal mucosa,foot arch,armpit and other parts of 10 volunteers were collected for three consecutive months.The microbial community structure of the samples was confirmed by using the 16SrRNA gene sequence information.And the microbial community diversity analysis and random forest classification prediction model were carried out.Results There were significant differences in the microbial community structure of the three parts of human body.In this study,a prediction model of random forest classification with an accuracy of more than 90%was successfully constructed.Conclusion In this study,a classification and prediction model based on the microbiome information of human biological samples was constructed to judge the source location,which broadened the forensic application scenarios of human microorganisms.
关键词
微生物组/生物痕迹/随机森林模型/溯源Key words
Microbiome/Biological traces/Random forest model/Trace to the source引用本文复制引用
基金项目
尸体腐败晚期典型分界点研究与应用(2023JC17)
出版年
2024
NETL
NSTL
万方数据