TY - JOUR
T1 - Diurnal variation in the human skin microbiome affects accuracy of forensic microbiome matching
AU - Wilkins, David
AU - Tong, Xinzhao
AU - Leung, Marcus H.Y.
AU - Mason, Christopher E.
AU - Lee, Patrick K.H.
N1 - Funding Information:
This research was supported by the Research Grants Council of Hong Kong (11215017), the City University of Hong Kong (7005130 and 7005284), the Hong Kong Institute of Data Science (9360163), the Starr Cancer Consortium (I13-0052), the ValleeFoundation, the WorldQuant Foundation, the Pershing Square Sohn Cancer Research Alliance, the National Institutes of Health (R01AI151059), the Bill and Melinda Gates Foundation (OPP1151054) and the Alfred P. Sloan Foundation (G-2015-13964).
Publisher Copyright:
© 2021, The Author(s).
PY - 2021/6/5
Y1 - 2021/6/5
N2 - Background: The human skin microbiome has been recently investigated as a potential forensic tool, as people leave traces of their potentially unique microbiomes on objects and surfaces with which they interact. In this metagenomic study of four people in Hong Kong, their homes, and public surfaces in their neighbourhoods, we investigated the stability and identifiability of these microbiota traces on a timescale of hours to days. Results: Using a Canberra distance-based method of comparing skin and surface microbiomes, we found that a person could be accurately matched to their household in 84% of tests and to their neighbourhood in 50% of tests, and that matching accuracy did not decay for household surfaces over the 10-day study period, although it did for public surfaces. The time of day at which a skin or surface sample was taken affected matching accuracy, and 160 species across all sites were found to have a significant variation in abundance between morning and evening samples. We hypothesised that daily routines drive a rhythm of daytime dispersal from the pooled public surface microbiome followed by normalisation of a person’s microbiome by contact with their household microbial reservoir, and Dynamic Bayesian Networks (DBNs) supported dispersal from public surfaces to skin as the major dispersal route among all sites studied. Conclusions: These results suggest that in addition to considering the decay of microbiota traces with time, diurnal patterns in microbiome exposure that contribute to the human skin microbiome assemblage must also be considered in developing this as a potential forensic method. [MediaObject not available: see fulltext.].
AB - Background: The human skin microbiome has been recently investigated as a potential forensic tool, as people leave traces of their potentially unique microbiomes on objects and surfaces with which they interact. In this metagenomic study of four people in Hong Kong, their homes, and public surfaces in their neighbourhoods, we investigated the stability and identifiability of these microbiota traces on a timescale of hours to days. Results: Using a Canberra distance-based method of comparing skin and surface microbiomes, we found that a person could be accurately matched to their household in 84% of tests and to their neighbourhood in 50% of tests, and that matching accuracy did not decay for household surfaces over the 10-day study period, although it did for public surfaces. The time of day at which a skin or surface sample was taken affected matching accuracy, and 160 species across all sites were found to have a significant variation in abundance between morning and evening samples. We hypothesised that daily routines drive a rhythm of daytime dispersal from the pooled public surface microbiome followed by normalisation of a person’s microbiome by contact with their household microbial reservoir, and Dynamic Bayesian Networks (DBNs) supported dispersal from public surfaces to skin as the major dispersal route among all sites studied. Conclusions: These results suggest that in addition to considering the decay of microbiota traces with time, diurnal patterns in microbiome exposure that contribute to the human skin microbiome assemblage must also be considered in developing this as a potential forensic method. [MediaObject not available: see fulltext.].
KW - Built environment
KW - Forensics
KW - Microbiota
KW - Skin
KW - Surface
UR - http://www.scopus.com/inward/record.url?scp=85107371097&partnerID=8YFLogxK
U2 - 10.1186/s40168-021-01082-1
DO - 10.1186/s40168-021-01082-1
M3 - Article
C2 - 34090519
AN - SCOPUS:85107371097
SN - 2049-2618
VL - 9
JO - Microbiome
JF - Microbiome
IS - 1
M1 - 129
ER -