法医学杂志

法医学杂志 ›› 2023, Vol. 39 ›› Issue (6): 557-563.DOI: 10.12116/j.issn.1004-5619.2023.530401

• 论著 • 上一篇    

利用人体皮肤及口腔微生物群进行地理溯源

董新宇1,2(), 朱如心2(), 雷印蕾2,3, 陶瑞旸2(), 李成涛1,2()   

  1. 1.山西医科大学法医学院，山西 太原 030001
    2.司法鉴定科学研究院 上海市法医学重点实验室 司法部司法鉴定重点实验室 上海市司法鉴定专业技术服务平台，上海 200063
    3.遵义医科大学基础医学院，贵州 遵义 563000
  • 收稿日期:2023-04-17 发布日期:2024-01-17 出版日期:2023-12-25
  • 通讯作者: 陶瑞旸,李成涛
  • 作者简介:董新宇（1996—），男，硕士研究生，主要从事法医遗传学研究；E-mail：dxinyu0323@163.com
    朱如心（1988—），女，主要从事法医遗传学研究；E-mail：zhurx@ssfjd.cn
    第一联系人：董新宇和朱如心为共同第一作者
  • 基金资助:
    国家重点研发计划资助项目(2022YFC3302004);国家自然科学基金资助项目(81930056);中央级公益性科研院所资助项目(GY2022G-6);上海市法医学重点实验室资助项目(21DZ2270800);司法部司法鉴定重点实验室资助项目;上海市司法鉴定专业技术服务平台资助项目

Traceability of Geographic Origin Using Human Skin and Oral Microbiota

Xin-yu DONG1,2(), Ru-xin ZHU2(), Yin-lei LEI2,3, Rui-yang TAO2(), Cheng-tao LI1,2()   

  1. 1.School of Forensic Medicine, Shanxi Medical University, Taiyuan 030001, China
    2.Shanghai Key Laboratory of Forensic Medicine, Key Laboratory of Forensic Science, Ministry of Justice, Shanghai Forensic Service Platform, Academy of Forensic Science, Shanghai 200063, China
    3.School of Preclinical Medicine of Zunyi Medical University, Zunyi 563000, Guizhou Province, China
  • Received:2023-04-17 Online:2024-01-17 Published:2023-12-25
  • Contact: Rui-yang TAO, Cheng-tao LI

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摘要：

目的 通过对细菌16S rRNA基因全长的测序分析，探究利用人类皮肤及口腔微生物推断个体地理位置来源的可能性。 方法 提取上海和内蒙古赤峰两地汉族人群手掌及口腔微生物DNA，通过16S rRNA基因全长测序，分析两地人群微生物群组成和多样性情况，随后筛选差异性物种并构建地理位置预测模型。 结果 上海与赤峰两地汉族人群手掌侧皮肤及口腔微生物的组成结构均不相同。对于手掌侧皮肤微生物，赤峰样本的丰富度和均匀度均高于上海样本，而口腔微生物的差异则不显著。置换多元方差分析（permutational multivariate analysis of variance，PERMANOVA）证实两地样本的β多样性差异具有统计学意义，皮肤样本与口腔样本的决定系数（R2）分别为0.129和0.102。通过主坐标分析（principal co-ordinates analysis，PCoA）可以对两地样本进行初步区分。预测模型利用皮肤和口腔样本对地理来源进行预测的准确率分别为0.90和0.83。 结论 上海和赤峰两地汉族人群手掌侧皮肤和口腔微生物的结构均存在差异，利用随机森林算法构建的预测模型可以对来自以上两地的未知个体进行溯源。

关键词: 法医物证学, 16S rRNA, 皮肤微生物群, 口腔微生物群, 地理位置溯源, 高通量测序

Abstract:

Objective To explore the possibility of using human skin and oral microorganisms to estimate the geographic origin of an individual through the sequencing analysis of bacterial 16S rRNA gene. Methods Microbial DNA was extracted from the palm and oral microorganisms of the Han population in Shanghai and Chifeng, Inner Mongolia, and the composition and diversity of the microbiota were analyzed by full-length 16S rRNA gene sequencing. Then, differential species were screened and a geographic location prediction model was constructed. Results The compositions of palm and oral microorganisms between Shanghai and Chifeng samples were both different. The abundance and uniformity of palm side skin microorganisms were higher in Chifeng samples than in Shanghai samples, while there was no significant difference in oral microorganisms. Permutational multivariate analysis of variance （PERMANOVA） confirmed that the β-diversity between the samples from the two places were statistically significant, and the coefficients of determination （R2） for skin and oral samples were 0.129 and 0.102, respectively. Through principal co-ordinates analysis （PCoA）, the samples from the two places could be preliminarily distinguished. The predictive model had the accuracies of 0.90 and 0.83 for the geographic origin using the skin and oral samples, respectively. Conclusion There are differences in the compositions of palm and oral microbiota between Han populations in Shanghai and Chifeng. The prediction model constructed by the random forest algorithm can trace the unknown individuals from the above two places.

Key words: forensic genetics, 16S rRNA, skin microbiota, oral microbiota, geographic location traceability, high-throughput sequencing

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