Evidence map›Paper›PMID 40240552›Full record

ArticleInternational journal of legal medicine2025

Exploratory study on source identification of saliva stain and its TsD inference based on the microbial relative and absolute abundance.

Xi Wang, Xi Yuan, Yifeng Lin, Qiong Lan, Shuyan Mei, Meiming Cai, Fanzhang Lei, Bonan Dong, Ming Zhao, Bofeng Zhu

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Article in International journal of legal medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 citing paper in PubMed.

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5 · Who and what money

Authors and funding

10 authors.

Xi WangGuangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China.
Xi YuanGuangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China.
Yifeng LinGuangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China.
Qiong LanGuangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China.
Shuyan MeiSchool of Basic Medicine and Forensic Medicine, Henan University of Science and Technology, Luoyang, China.
Meiming CaiGuangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China.
Fanzhang LeiGuangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China.
Bonan DongGuangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China.
Ming ZhaoGuangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China.
Bofeng ZhuGuangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, China. zhubofeng7372@126.com.

Funding

the National Natural Science Foundation of China 82293652
6 · The paper itself

Abstract

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.

Indexed as

BacteriaPostmortem ChangesSalivaAdultDNA, BacterialEpidermisFemaleHigh-Throughput Nucleotide SequencingHumansMaleReal-Time Polymerase Chain ReactionRNA, Ribosomal, 16SSupport Vector MachineDNA, BacterialRNA, Ribosomal, 16SHuman saliva microorganismMicrobial absolute and relative abundanceSaliva identificationTime since deposition

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.