ReviewFrontiers in microbiology2024
Research progress on the application of 16S rRNA gene sequencing and machine learning in forensic microbiome individual identification.
Review in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
18 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Unlocking the hidden potential of the genus Salvia through a systematic review of endophytic bacterial and fungal diversity and biotechnological prospects.Archives of microbiology · 2026Pooled it
- From microbial data to forensic insights: systematic review of machine learning models for PMI estimation.Forensic science, medicine, and pathology · 2025Pooled it
- Comparative microbiome profiling of plant- and animal-derived traditional fermented foods from Mizoram, India using full-length 16S rRNA sequencing.Antonie van Leeuwenhoek · 2026Article
- Age Influences the Bacterial Composition of Samples From Buffaloes in the Marajó Archipelago, Pará, Brazilian Amazon.Environmental microbiology reports · 2026Article
- Gut microbiota profiling of the population residing in Friuli-Venezia Giulia through next-generation sequencing.BMC microbiology · 2026Article
- Profiling the Athletes' Gut Microbiome: A Critical Methodological Perspective on 16S Metabarcoding and Shotgun Metagenomics.Biology · 2026Review
- Translating Gut Microbiota into Diagnostics: A Multidimensional Approach for the Diagnosis of Inflammatory Bowel Disease.Gut and liver · 2026Review
- The human skin microbiome: factors affecting individuality and application in forensic investigations.International journal of legal medicine · 2026Review
- Gut microbiota composition and systemic immune-inflammatory marker correlations in infertile women with endometriosis: a pilot case-control study.Frontiers in cellular and infection microbiology · 2026Article
- Impact of sugar-based baits on midgut microbiome composition in Aedes mosquitoes: Implications for vector control.PloS one · 2026Article
- Molecular biology research progress in post-mortem interval (PMI) estimation in forensic medicine.International journal of legal medicine · 2026Review
- Urobiome of patients with diabetic kidney disease in different stages is revealed by 2bRAD-M.Journal of translational medicine · 2025Article
- Mechanisms of gut microbiota in host fat deposition: metabolites, signaling pathways, and translational applications.Frontiers in microbiology · 2025Review
- 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
- Article
- 16S rDNA Sequencing for Bacterial Identification in Preterm Infants with Suspected Early-Onset Neonatal Sepsis.Tropical medicine and infectious disease · 2024Article
- Prevalence and species identification of trematode metacercariae in Qiqihar, Northeast China.Frontiers in microbiology · 2024Article
- Advanced computational tools, artificial intelligence and machine-learning approaches in gut microbiota and biomarker identification.Frontiers in medical technology · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Forensic microbiome research is a field with a wide range of applications and a number of protocols have been developed for its use in this area of research. As individuals host radically different microbiota, the human microbiome is expected to become a new biomarker for forensic identification. To achieve an effective use of this procedure an understanding of factors which can alter the human microbiome and determinations of stable and changing elements will be critical in selecting appropriate targets for investigation. The 16S rRNA gene, which is notable for its conservation and specificity, represents a potentially ideal marker for forensic microbiome identification. Gene sequencing involving 16S rRNA is currently the method of choice for use in investigating microbiomes. While the sequencing involved with microbiome determinations can generate large multi-dimensional datasets that can be difficult to analyze and interpret, machine learning methods can be useful in surmounting this analytical challenge. In this review, we describe the research methods and related sequencing technologies currently available for application of 16S rRNA gene sequencing and machine learning in the field of forensic identification. In addition, we assess the potential value of 16S rRNA and machine learning in forensic microbiome science.
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Registered trials
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.