基于微生物相对丰度和绝对丰度的唾液染色源鉴定及TsD推断的探索性研究。

IF 2.3 3区 医学 Q1 MEDICINE, LEGAL
International Journal of Legal Medicine Pub Date : 2025-09-01 Epub Date: 2025-04-17 DOI:10.1007/s00414-025-03456-8
Xi Wang, Xi Yuan, Yifeng Lin, Qiong Lan, Shuyan Mei, Meiming Cai, Fanzhang Lei, Bonan Dong, Ming Zhao, Bofeng Zhu
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引用次数: 0

摘要

近年来,通过16S rRNA下一代测序获取犯罪现场常见体液污渍微生物相对丰度,探索其在法医应用中的有效性已成为研究的一大趋势。然而,很少有学者将体液污渍组织来源的确定与基于同一样品中微生物的相对丰度和绝对丰度推断沉积时间(TsD)结合起来进行研究。因此,我们初步利用这四种丰富的唾液相关细菌区分新鲜唾液、唾液污渍(暴露≤60天)与四种新鲜体液和表皮组织,同时评估这些唾液污渍中微生物相对丰度和绝对丰度的时间变化规律。实时荧光定量PCR结果表明,新鲜唾液样本和唾液污渍暴露长达60天,仍然保留了两种或两种以上丰富的唾液相关细菌,具有足够的鉴别能力,可以识别来自其他四种体液和组织的唾液污渍。56份唾液样本的微生物组成及时间分析显示,除了奈瑟菌属等属外,丰度均高于1%的门属在相对丰度和绝对丰度数据上均有不同的时间变化规律。Beta多样性分析表明,不同时间点新鲜唾液样本和唾液污渍的绝对定量数据与相对定量数据差异较大。基于微生物相对丰度和绝对丰度的支持向量机(svm)模型对1 h、1 d、7 ~ 60 d的唾液污渍分类准确率均高于0.8。本研究将组织来源鉴定与唾液污渍的TsD推断相结合,首次将绝对定量技术应用于唾液污渍的TsD推断。结果表明,本研究中采用绝对定量技术可能更适合于唾液污渍的早期TsD推断(14天内),有助于准确推断唾液污渍的TsD,为法医调查提供重要线索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploratory study on source identification of saliva stain and its TsD inference based on the microbial relative and absolute abundance.

In recent years, it has become a major research trend to obtain the microbial relative abundance in common body fluid stains at the crime scenes through 16S rRNA next generation sequencing to explore the effectiveness in forensic application. However, few scholars have combined the determination of tissue sources of body fluid stains with the inference of time since deposition (TsD) based on the relative and absolute abundance of microorganism in the same sample in a single study. Therefore, we preliminarily used the four abundant saliva-related bacteria to distinguish fresh saliva, saliva stains (exposure ≤60 days) from the four kinds of fresh body fluids and epidermal tissue, simultaneously assessed the temporal variation regularities in both microbial relative and absolute abundance in these saliva stains. Quantitative real-time PCR results demonstrated that fresh saliva samples and saliva stains exposed for up to 60 days still retained two or more abundant saliva-related bacteria, demonstrating sufficient discriminative power to identify saliva stain from other four kinds of body fluids and tissue. Microbial compositions and temporal analyses of 56 saliva samples revealed that many phyla and genera with abundance higher than 1% had different temporal variation regularities in relative and absolute abundance data, except for some genera such as Neisseria, etc. Beta diversity analysis indicated greater differences in absolute quantitative data among fresh saliva samples and saliva stains at different time points compared with relative quantitative data. The support vector machine (svm) model based on microbial relative or absolute abundance both have the prediction accuracy higher than 0.8 in classifying saliva stains deposited at 1 h, 1 day, and 7 to 60 days. This study combined the tissue origin identification and TsD inference of saliva stains, and the absolute quantitative technology was applied for the first time to the TsD inference of saliva stains. And the results indicated that using the absolute quantitative technology might be more suitable for early TsD inference (within 14 days) of saliva stains in this study, which helped to accurately infer the TsD of saliva stains, providing an important clue for forensic investigation.

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来源期刊
CiteScore
5.80
自引率
9.50%
发文量
165
审稿时长
1 months
期刊介绍: The International Journal of Legal Medicine aims to improve the scientific resources used in the elucidation of crime and related forensic applications at a high level of evidential proof. The journal offers review articles tracing development in specific areas, with up-to-date analysis; original articles discussing significant recent research results; case reports describing interesting and exceptional examples; population data; letters to the editors; and technical notes, which appear in a section originally created for rapid publication of data in the dynamic field of DNA analysis.
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