Zheng Yangyang, Ye Linying, Du Jieyu, Huang Litao, Lun Miaoqiang, He Meiyun, Xiao Guichao, Du Weian, Liu Chao, Chen Ling
Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, Guangdong, China.
Guangdong Homy Genetics Incorporation, Foshan, China.
Microbiol Spectr. 2024 Aug 6;12(8):e0012524. doi: 10.1128/spectrum.00125-24. Epub 2024 Jul 9.
Semen is one of the common body fluids in sexual crime cases. The current methods of semen identification have certain limitations, so it is necessary to search for other methods. In addition, there are few reports of microbiome changes in body fluids under simulated crime scenes. It is essential to further reveal the changes in semen microbiomes after exposure to various simulated crime scenes. Semen samples from eight volunteers were exposed in closed plastic bags, soil, indoor, cotton, polyester, and wool fabrics. A total of 68 samples (before and after exposure) were collected, detected by 16S rDNA sequencing, and analyzed for the microbiome signature. Finally, a random forest model was constructed for body fluid identification. After exposure, the relative abundance of and changed dramatically in almost all groups. In addition, the treatment with the closed plastic bags or soil groups had a greater impact on the semen microbiome. According to the Shannon indices, the alpha diversity of the closed plastic bags and soil groups was much lower than that of the other groups. Attention should be given to the above two scenes in practical work of forensic medicine. In this study, the accuracy of semen recognition was 100%. The exposed semen can still be correctly identified as semen based on its microbiota characteristics. In summary, semen microbiomes exposed to simulated crime scenes still have good application potential for body fluid identification.
In this study, the microbiome changes of semen exposed to different environments were observed, and the exposed semen microbiome still has a good application potential in body fluid identification.
精液是性犯罪案件中常见的体液之一。目前的精液鉴定方法存在一定局限性,因此有必要寻找其他方法。此外,关于模拟犯罪场景下体液微生物群落变化的报道较少。进一步揭示精液在暴露于各种模拟犯罪场景后的微生物群落变化至关重要。来自八名志愿者的精液样本分别暴露于封闭塑料袋、土壤、室内、棉花、聚酯和羊毛织物中。共收集了68个样本(暴露前后),通过16S rDNA测序进行检测,并分析微生物群落特征。最后,构建随机森林模型用于体液鉴定。暴露后,几乎所有组中[具体微生物名称未给出]和[具体微生物名称未给出]的相对丰度都发生了显著变化。此外,封闭塑料袋或土壤组的处理对精液微生物群落的影响更大。根据香农指数,封闭塑料袋和土壤组的α多样性远低于其他组。在法医学实际工作中应关注上述两种场景。在本研究中,精液识别准确率为100%。基于其微生物群特征,暴露后的精液仍可被正确鉴定为精液。总之,暴露于模拟犯罪场景的精液微生物群在体液鉴定中仍具有良好的应用潜力。
本研究观察了精液在不同环境下的微生物群落变化,且暴露后的精液微生物群在体液鉴定中仍具有良好的应用潜力。