Classification of individuals and the potential to detect sexual contact using the microbiome of the pubic region. Human Pubic Hair

Detection of sexual contact during intercourse is an important but unmet need for forensic analysis that might be addressed by studies of the pubic microbiome. Since 16S sequencing of swabs of various other body parts has shown that the microbiome may be individualizing, we reasoned that transfer from an assailant to a victim might be detectable. Microbiome profiles were generated from pubic hairs and swabs taken from the pubic mound region of 12 couples and 19 matching singles, and evaluated for similarity over an average of four collection times with varying degrees of self-reported sexual activity. A model constructed using a Random Forest classifier was able to predict samples belonging to the same individual collected up to 6 months apart, demonstrating the stability of the microbiome over this time frame. Couples were found to be significantly more similar to one another than to unrelated members of the opposite sex, in proportion to shared sexual activity. Further analyses using the Deblur method to assign OTU establish that at least 10% of the victim’s pubic microbiome must be derived from the attacker in order to detect transfer, but that single transfer events will not generally be discovered. Nevertheless, Bayesian SourceTracker software is shown to have potential to establish that sexual contact occurred where the assailant is known, or to exonerate suspects as contributors to a mixed microbiome. Our results establish limited potential of the pubic hair/pubic area microbiome as a tool for forensic associations.