Evidence map›Paper›PMID 41060398›Full record

ArticleInternational journal of legal medicine2026

Species-level taxonomic characterization enhances the power of saliva and feces stain microbiota for inferring the time since deposition (TsD).

Litao Huang, Jiaqian Le, Mingyue Zhao, Jieyu Du, Xiaohui Chen, Qin Su, Linying Ye, Quyi Xu, Xiaolong Han, Bofeng Zhu and 2 more

Abstract read
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Article in International journal of legal medicine, 2026. 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 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Litao Huang *Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, 510515, Guangdong, China.
Jiaqian Le *Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, 510515, Guangdong, China.
Mingyue Zhao *Guangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, 510515, Guangdong, China.
Jieyu DuGuangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, 510515, Guangdong, China.
Xiaohui ChenGuangzhou Forensic Science Institute, Guangzhou, 510030, People's Republic of China.
Qin SuGuangzhou Forensic Science Institute, Guangzhou, 510030, People's Republic of China.
Linying YeGuangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, 510515, Guangdong, China.
Quyi XuGuangzhou Forensic Science Institute, Guangzhou, 510030, People's Republic of China.
Xiaolong HanGuangzhou Forensic Science Institute, Guangzhou, 510030, People's Republic of China.
Bofeng ZhuGuangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, 510515, Guangdong, China. zhubofeng7372@126.com.
Chao LiuGuangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, 510515, Guangdong, China. liuchaogzf@163.com.
Ling ChenGuangzhou Key Laboratory of Forensic Multi-Omics for Precision Identification, School of Forensic Medicine, Southern Medical University, Guangzhou, 510515, Guangdong, China. lingpzy@163.com.ORCID http://orcid.org/0000-0001-7699-4820

Funding

National Natural Science Foundation of China Grant no. 82371901National Natural Science Foundation of China Grant no. 82471919Natural Science Foundation of Guangdong Province Grant no. 2024A1515011336
6 · The paper itself

Abstract

Accurate identification of body fluid stains found at crime scenes and inference of the time since deposition support forensic investigations. Forensic microbiology is recognized as a promising approach for addressing these challenges. Saliva and feces, which are frequently obtained as biological samples at crime scenes, contain greatly enriched bacterial communities. Therefore, we collected saliva and feces stains exposed to indoor environment. To simulate the time intervals typically encountered in forensic evidence examination, samples were exposed to indoor conditions for a 3-day short-term interval, and control samples were collected on the 3rd day to simulate the time point of arrest. We utilized the 16S rDNA full-length sequencing to characterize the microbial community. The results showed that microbial community composition of fresh body fluids, whether saliva or feces samples, remained stable on day 0 and day 3, with no substantial changes after 6 hour of exposure. The relative abundance of the dominant flora changed mainly after 24 h of exposure, such as an increase in Streptococcus oralis in saliva and a decrease in Bifidobacterium adolescentis in feces, and remained stable after 48 h and 72 h. The decrease in humidity seems to cause a reduction in some fluid flora, such as Prevotella melaninogenica in saliva. This suggests that collecting body fluid stain samples and recording environmental factors as early as possible after a case may increase the reliability of the evidence. In addition, saliva and feces stains exhibited distinct microbial composition profiles after exposure, indicating that they retained the potential for body fluid identification. The difference mainly stemmed from the respective dominant flora. Then, the time since deposition (TsD) prediction models were constructed, using a random forest regression algorithm, based on genus-level and species-level, respectively. The predictive efficacy of species-level microbial markers was higher, with the mean absolute error (MAE) of the saliva and feces prediction models being 0.30 day and 0.56 day, respectively. This finding suggests that using species-level microbial markers to determine the type and time since deposition (TsD) of body fluid stains has promising forensic value.

Indexed as

BacteriaFecesForensic SciencesMicrobiological TechniquesSalivaDNA, BacterialHumansMicrobiotaMicrosatellite RepeatsRNA, Ribosomal, 16STime FactorsDNA, BacterialRNA, Ribosomal, 16SBody fluid identificationPrediction model.Stain bacterial communitiesTime since deposition (TsD)Two body fluid

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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.