Amplification of oral streptococcal DNA from human incisors and bite marks

Species level and SNP profiling of skin microbiome improve the specificity in identifying forensic fluid and individual

Human skin possesses individual and body fluid-specific microbial signatures potentially useful for forensic identification. Previous studies mostly attribute individuals based on the relative abundance of microbiota at single time point, however fluctuations in taxonomy and phylogenetic structure may cause this to be unreliable. In this study, we assessed the skin microbiome of individuals at consecutive time-point from fingers, palm, arm and forehead sites using full-length 16S rRNA gene sequencing. At the species level, hand samples (fingers, palm, arm) differed significantly from forehead microbes. Additionally, skin flora of the present study differed significantly from the dominant species that have been reported for saliva, feces, and vaginal secretions samples. ANOSIM analysis of all skin samples showed that inter-individual differences were greater than intra-individual differences, yet accuracy of individual identification was only 52.5 %. At the microbial gene level, three machine learning models based on single nucleotide polymorphism (SNP) profiles of Cutibacterium acnes resulted in accurate classification of more than 97.5 % individuals. These results indicate that consideration of bacterial SNP profiling may provide new directions for forensic identification and may have potential applications in body fluid identification and individual identification in forensic.

The signatures of microorganisms and of human and environmental biomes can now be used to provide evidence in legal cases

The microorganisms with which we share our world go largely unnoticed. We are, however, beginning to be able to exploit their apparently silent presence as witnesses to events that are of legal concern. This information can be used to link forensic samples to criminal events and even perpetrators. Once dead, our bodies are rapidly colonised, internally and externally. The progress of these events can be charted to inform how long and even by what means a person has died. A small number of microbial species could actually be the cause of such deaths as a result of biocrime or bioterrorism. The procedures and techniques to respond to such attacks have matured in the last 20 years. The capability now exists to identify malicious intent, characterise the threat agent to isolate level and potentially link it to perpetrators with a high level of confidence.

Body fluid identification by integrated analysis of DNA methylation and body fluid-specific microbial DNA

Identification of body fluids found at crime scenes provides important information that can support a link between sample donors and actual criminal acts. Previous studies have reported that DNA methylation analysis at several tissue-specific differentially methylated regions (tDMRs) enables successful identification of semen, and the detection of certain bacterial DNA can allow for identification of saliva and vaginal fluid. In the present study, a method for detecting bacterial DNA was integrated into a previously reported multiplex methylation-sensitive restriction enzyme-polymerase chain reaction. The developed multiplex PCR was modified by the addition of a new semen-specific marker and by including amplicons for the 16S ribosomal RNA gene of saliva- and vaginal fluid-specific bacteria to improve the efficacy to detect a specific type of body fluid. Using the developed multiplex system, semen was distinguishable by unmethylation at the USP49, DACT1, and PFN3 tDMRs and by hypermethylation at L81528, and saliva could be identified by detection of saliva-specific bacteria, Veillonella atypica and/or Streptococcus salivarius. Additionally, vaginal fluid and menstrual blood were differentiated from other body fluids by hypomethylation at the PFN3 tDMR and the presence of vaginal fluid-specific bacteria, Lactobacillus crispatus and/or Lactobacillus gasseri. Because the developed multiplex system uses the same biological source of DNA for individual identification profiling and simultaneously analyses various types of body fluid in one PCR reaction, this method will facilitate more efficient body fluid identification in forensic casework.

Microbial analysis of bite marks by sequence comparison of streptococcal DNA

Bite mark injuries often feature in violent crimes. Conventional morphometric methods for the forensic analysis of bite marks involve elements of subjective interpretation that threaten the credibility of this field. Human DNA recovered from bite marks has the highest evidentiary value, however recovery can be compromised by salivary components. This study assessed the feasibility of matching bacterial DNA sequences amplified from experimental bite marks to those obtained from the teeth responsible, with the aim of evaluating the capability of three genomic regions of streptococcal DNA to discriminate between participant samples. Bite mark and teeth swabs were collected from 16 participants. Bacterial DNA was extracted to provide the template for PCR primers specific for streptococcal 16S ribosomal RNA (16S rRNA) gene, 16S–23S intergenic spacer (ITS) and RNA polymerase beta subunit (rpoB). High throughput sequencing (GS FLX 454), followed by stringent quality filtering, generated reads from bite marks for comparison to those generated from teeth samples. For all three regions, the greatest overlaps of identical reads were between bite mark samples and the corresponding teeth samples. The average proportions of reads identical between bite mark and corresponding teeth samples were 0.31, 0.41 and 0.31, and for non-corresponding samples were 0.11, 0.20 and 0.016, for 16S rRNA, ITS and rpoB, respectively. The probabilities of correctly distinguishing matching and non-matching teeth samples were 0.92 for ITS, 0.99 for 16S rRNA and 1.0 for rpoB. These findings strongly support the tenet that bacterial DNA amplified from bite marks and teeth can provide corroborating information in the identification of assailants.