ArticleInternational journal of legal medicine2022
Integrating the salivary microbiome in the forensic toolkit by 16S rRNA gene: potential application in body fluid identification and biogeographic inference.
Article in International journal of legal medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 2 of them syntheses that pooled it.
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Who cites it
16 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- [Advances in the Application of Forensic Microbiome Analysis in Tissue Source Inference].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2025Pooled it
- Circular RNAs and Their Role in Male Infertility: A Systematic Review.Biomolecules · 2023Pooled it
- Forensic analysis of environmental and skin microbiome differences in college dormitories based on 16 S rRNA.International journal of legal medicine · 2026Article
- The human skin microbiome: factors affecting individuality and application in forensic investigations.International journal of legal medicine · 2026Review
- Article
- The Mystery of the Hidden Trace: Emerging Genetic Approaches to Improve Body Fluid Identification.Genes · 2026Review
- Characterization of vaginal microbiota diversity by 16S rRNA high-throughput sequencing.Frontiers in microbiology · 2026Article
- Exploratory study on source identification of saliva stain and its TsD inference based on the microbial relative and absolute abundance.International journal of legal medicine · 2025Article
- Construction of the time since deposition (TsD) model in saliva stains with 16S rRNA full-length sequencing technology and microbial markers.International journal of legal medicine · 2025Article
- Inference of forensic body fluids/tissues based on mitochondrial DNA copy number: a preliminary study.International journal of legal medicine · 2024Article
- Circular RNAs: characteristics, functions, mechanisms, and potential applications in thyroid cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2024Review
- Assessing the feasibility of free DNA for disaster victim identification and forensic applications.Scientific reports · 2024Article
- Explore variation of salivary bacteria across time and geolocations.International journal of legal medicine · 2024Article
- Research progress on the application of 16S rRNA gene sequencing and machine learning in forensic microbiome individual identification.Frontiers in microbiology · 2024Review
- A Review on Microbial Species for Forensic Body Fluid Identification in Healthy and Diseased Humans.Current microbiology · 2023Review
- Development and application of a multiplex PCR system for forensic salivary identification.International journal of legal medicine · 2023Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Saliva is a common body fluid with significant forensic value used to investigate criminal cases such as murder and assault. In the past, saliva identification often relied on the α-amylase test; however, this method has low specificity and is prone to false positives. Accordingly, forensic researchers have been working to find new specific molecular markers to refine the current saliva identification approach. At present, research on immunological methods, mRNA, microRNA, circRNA, and DNA methylation is still in the exploratory stage, and the application of these markers still has various limitations. It has been established that salivary microorganisms exhibit good specificity and stability. In this study, 16S rDNA sequencing technology was used to sequence the V3-V4 hypervariable regions in saliva samples from five regions to reveal the role of regional location on the heterogeneity in microbial profile information in saliva. Although the relative abundance of salivary flora was affected to a certain extent by geographical factors, the salivary flora of each sample was still dominated by Streptococcus, Neisseria, and Rothia. In addition, the microbial community in the saliva samples in this study was significantly different from that in the vaginal secretions, semen, and skin samples reported in our previous studies. Accordingly, saliva can be distinguished from the other three body fluids and tissues. Moreover, we established a prediction model based on the random forest algorithm that could distinguish saliva between different regions at the genus level even though the model has a certain probability of misjudgment which needs more in-depth research. Overall, the microbial community information in saliva stains might have prospects for potential application in body fluid identification and biogeographic inference.
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