ArticleJournal of applied microbiology2022
Estimation of the post-mortem interval by modelling the changes in oral bacterial diversity during decomposition.
Article in Journal of applied microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Artificial intelligence in forensic science: a systematic review. Part II: long-range postmortem interval estimation.International journal of legal medicine · 2026Pooled it
- Microbiome modelling for post-mortem interval estimation across species and climates: swine analogues in a British summer and external validation in human donors from the USA.Scientific reports · 2026Article
- Leveraging chatgpt' s advanced data analysis for forensic science research and applications.Forensic science, medicine, and pathology · 2026Article
- Unveiling the Forensic Potential of Oral and Nasal Microbiota in Post-Mortem Interval Estimation.International journal of molecular sciences · 2025Article
- Exploring the Correlation between Selected Oral Commensals and Deoxyribonucleic Acid Degradation in Pulp Tissue Extracted from Primary Teeth Stored in Dry and Wet Conditions: AnInternational journal of clinical pediatric dentistry · 2025Article
- Advancing time-since-interval estimation for clandestine graves: a forensic ecogenomics perspective into burial and translocation timelines using massively parallel sequencing.Frontiers in microbiology · 2025Review
- Estimating postmortem interval based on oral microbial community succession in rat cadavers.Heliyon · 2024Article
- Changes in Microbial Communities Using Pigs as a Model for Postmortem Interval Estimation.Microorganisms · 2023Article
- Composition and functional diversity of bacterial communities during swine carcass decomposition.Animal bioscience · 2023Article
- Toward Oral Thanatomicrobiology-An Overview of the Forensic Implications of Oral Microflora.Academic forensic pathology · 2023Review
- Complexity of human death: its physiological, transcriptomic, and microbiological implications.Frontiers in microbiology · 2023Review
- Trends in forensic microbiology: From classical methods to deep learning.Frontiers in microbiology · 2023Review
- Estimation of the post-mortem interval by modelling the changes in oral bacterial diversity during decomposition.Journal of applied microbiology · 2022Article
- Advances in artificial intelligence-based microbiome for PMI estimation.Frontiers in microbiology · 2022Review
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3 authors.
Funding
Abstract
aimsDecomposition, a complicated process, depends on several factors, including carrion insects, bacteria and the environment. However, the composition of and variation in oral bacteria over long periods of decomposition remain unclear. The current study aims to illustrate the composition of oral bacteria and construct an informative model for estimating the post-mortem interval (PMI) during decomposition. METHODS AND
resultsSamples were collected from rats' oral cavities for 59 days, and 12 time points in the PMI were selected to detect bacterial community structure by sequencing the V3-V4 region of the bacterial 16S ribosomal RNA (16S rRNA) gene on the Ion S5 XL platform. The results indicated that microorganisms in the oral cavity underwent great changes during decomposition, with a tendency for variation to first decrease and then increase at day 24. Additionally, to predict the PMI, an informative model was established using the random forest algorithm. Three genera of bacteria (Atopostipes, Facklamia and Cerasibacillus) were linearly correlated at all 12 time points in the 59-day period. Planococcaceae was selected as the best feature for the last 6 time points. The R
conclusionsOverall, our results suggested that post-mortem oral microbial community data can serve as a forensic resource to estimate the PMI over long time periods. SIGNIFICANCE AND IMPACT OF THE STUDY: The results of the present study are beneficial for estimating the PMI. Identifying changes in the bacterial community is of great significance for further understanding the applicability of oral flora in forensic medicine.
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