Trace Evidence Potential in Postmortem Skin Microbiomes: From Death Scene to Morgue† ‡
Whitney A. Kodama M.S.
City and County of Honolulu Department of the Medical Examiner, 835 Iwilei Street, Honolulu, 96817 HI
Laboratory of Forensic Taphonomy, Forensic Sciences Unit, Division of Natural Sciences and Mathematics, Chaminade University of Honolulu, 3140 Waialae Avenue, Honolulu, 96816 HI
Authors contributed equally.Search for more papers by this authorZhenjiang Xu Ph.D
School of Food Science and Technology, Nanchang University, 235 Nanjing East Road, Nanchang City, Jiangxi, Nanchang, China
State Key Laboratory of Food Science and Technology, Nanchang University, 235 Nanjing East Road, Nanchang City, Jiangxi, Nanchang, China
Department of Pediatrics, University of California, San Diego, 9500 Gilman Drive, La Jolla, 92093 CA
Authors contributed equally.Search for more papers by this authorJessica L. Metcalf Ph.D
Department of Animal Sciences, Colorado State University, 350 W. Pitkin Street, Ft. Collins, 80523-1171 CO
Authors contributed equally.Search for more papers by this authorSe Jin Song Ph.D
Department of Pediatrics, University of California, San Diego, 9500 Gilman Drive, La Jolla, 92093 CA
Search for more papers by this authorNicholas Harrison M.F.S.
Laboratory of Forensic Taphonomy, Forensic Sciences Unit, Division of Natural Sciences and Mathematics, Chaminade University of Honolulu, 3140 Waialae Avenue, Honolulu, 96816 HI
Search for more papers by this authorRob Knight Ph.D.
Department of Pediatrics, University of California, San Diego, 9500 Gilman Drive, La Jolla, 92093 CA
Department of Computer Science and Engineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, 92093 CA
Center for Microbiome Innovation, University of California, San Diego, 9500 Gilman Drive, La Jolla, 92093-0403 CA
Search for more papers by this authorCorresponding Author
David O. Carter Ph.D.
Laboratory of Forensic Taphonomy, Forensic Sciences Unit, Division of Natural Sciences and Mathematics, Chaminade University of Honolulu, 3140 Waialae Avenue, Honolulu, 96816 HI
Corresponding author: David O. Carter, Ph.D. E-mail: [email protected]Search for more papers by this authorChristopher B. Happy M.D.
City and County of Honolulu Department of the Medical Examiner, 835 Iwilei Street, Honolulu, 96817 HI
Search for more papers by this authorWhitney A. Kodama M.S.
City and County of Honolulu Department of the Medical Examiner, 835 Iwilei Street, Honolulu, 96817 HI
Laboratory of Forensic Taphonomy, Forensic Sciences Unit, Division of Natural Sciences and Mathematics, Chaminade University of Honolulu, 3140 Waialae Avenue, Honolulu, 96816 HI
Authors contributed equally.Search for more papers by this authorZhenjiang Xu Ph.D
School of Food Science and Technology, Nanchang University, 235 Nanjing East Road, Nanchang City, Jiangxi, Nanchang, China
State Key Laboratory of Food Science and Technology, Nanchang University, 235 Nanjing East Road, Nanchang City, Jiangxi, Nanchang, China
Department of Pediatrics, University of California, San Diego, 9500 Gilman Drive, La Jolla, 92093 CA
Authors contributed equally.Search for more papers by this authorJessica L. Metcalf Ph.D
Department of Animal Sciences, Colorado State University, 350 W. Pitkin Street, Ft. Collins, 80523-1171 CO
Authors contributed equally.Search for more papers by this authorSe Jin Song Ph.D
Department of Pediatrics, University of California, San Diego, 9500 Gilman Drive, La Jolla, 92093 CA
Search for more papers by this authorNicholas Harrison M.F.S.
Laboratory of Forensic Taphonomy, Forensic Sciences Unit, Division of Natural Sciences and Mathematics, Chaminade University of Honolulu, 3140 Waialae Avenue, Honolulu, 96816 HI
Search for more papers by this authorRob Knight Ph.D.
Department of Pediatrics, University of California, San Diego, 9500 Gilman Drive, La Jolla, 92093 CA
Department of Computer Science and Engineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, 92093 CA
Center for Microbiome Innovation, University of California, San Diego, 9500 Gilman Drive, La Jolla, 92093-0403 CA
Search for more papers by this authorCorresponding Author
David O. Carter Ph.D.
Laboratory of Forensic Taphonomy, Forensic Sciences Unit, Division of Natural Sciences and Mathematics, Chaminade University of Honolulu, 3140 Waialae Avenue, Honolulu, 96816 HI
Corresponding author: David O. Carter, Ph.D. E-mail: [email protected]Search for more papers by this authorChristopher B. Happy M.D.
City and County of Honolulu Department of the Medical Examiner, 835 Iwilei Street, Honolulu, 96817 HI
Search for more papers by this authorAbstract
Microbes can be used effectively as trace evidence, at least in research settings. However, it is unknown whether skin microbiomes change prior to autopsy and, if so, whether these changes interfere with linking objects to decedents. The current study included microbiomes from 16 scenes of death in the City and County of Honolulu and tested whether objects at the scenes can be linked to individual decedents. Postmortem skin microbiomes were stable during repeated sampling up to 60 h postmortem and were similar to microbiomes of an antemortem population. Objects could be traced to decedents approximately 75% of the time, with smoking pipes and medical devices being especially accurate (100% match), house and car keys being poor (0%), and other objects like phones intermediate (~80%). These results show that microbes from objects at death scenes can be matched to individual decedents, opening up a new method of establishing associations and identifications.
Supporting Information
Filename | Description |
---|---|
jfo13949-sup-0001-FigS1.pdfPDF document, 1.7 MB | Figure S1. (A) Principal Coordinate Analysis (PCoA) plot based on unweighted UniFrac of microbiome samples collected from the palm of deceased individuals (medium spheres), personal objects (large spheres), and the plastic sheets in which their remains were stored (tiny spheres). Each color represents one of 16 death scenes throughout the City and County of Honolulu, Hawaii, USA. (B) PCoA plot based on unweighted UniFrac of microbiome samples collected from the palms of living (large green spheres) or deceased (colored by death scene) throughout the City and County of Honolulu. |
jfo13949-sup-0002-TableS1.docxWord document, 26.2 KB | Table S1. List of objects and surfaces swabbed at death scenes in the City and County of Honolulu, Oahu, Hawaii where Y indicates a correct association between palm and object/surface microbiome and N indicates an incorrect association between palm and object/surface microbiome. Two letters (e.g., NN, NY, YY) indicates the results when two similar objects/surfaces were swabbed at a scene. |
Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
References
- 1Pechal JL, Schmidt CJ, Jordan HR, Benbow ME. A large-scale survey of the postmortem human microbiome, and its potential to provide insight into the living health condition. Sci Rep 2018; 8: 5724.
- 2 B Budowle, S Schutzer, R Breeze, P Keim, S Morse, editors. Microbial forensics, 2nd edn. Cambridge, MA: Academic Press, 2011.
- 3Metcalf JL, Xu ZZ, Bouslimani A, Dorrestein P, Carter DO, Knight R. Microbiome tools for forensic science. Trends Biotechnol 2017; 35: 814–23.
- 4Carter DO, Tomberlin JK, Benbow ME, Metcalf JL, editors. Forensic microbiology. Chichester, U.K.: Wiley-Blackwell, 2017.
10.1002/9781119062585 Google Scholar
- 5Wherry WB. The bacteriological examination of a plague rat, with notes on the capsular substance formed on nutrient agar by some bacteria. J Infect Dis 1905; 2: 577–88.
10.1093/infdis/2.4.577 Google Scholar
- 6Burcham ZM, Jordan HR. History, current, and future use of microorganisms as physical evidence. In: DO Carter, JK Tomberlin, ME Benbow, JL Metcalf, editors. Forensic microbiology. Chichester, U.K.: John Wiley & Sons Ltd, 2017; 25–55.
10.1002/9781119062585.ch2 Google Scholar
- 7Huttenhower C, Gevers D, Knight R, Abubucker S, Badger JH, Chinwalla AT, et al. Structure, function and diversity of the healthy human microbiome. Nature 2012; 486: 207–14.
- 8Thompson LR, Sanders JG, McDonald D, Amir A, Ladau J, Locey KJ, et al. A communal catalogue reveals Earth's multiscale microbial diversity. Nature 2017; 551: 457–63.
- 9Caporaso JG, Kuczynski J, Stombaugh J, Bittinger K, Bushman FD, Costello EK, et al. QIIME allows analysis of high-throughput community sequencing data. Nat Methods 2010; 7: 335–6.
- 10Franzosa EA, Huang K, Meadow JF, Gevers D, Lemon KP, Bohannan BJM, et al. Identifying personal microbiomes using metagenomic codes. Proc Natl Acad Sci USA 2015; 112: E2930–8.
- 11Fierer N, Lauber CL, Zhou N, McDonald D, Costello EK, Knight R. Forensic identification using skin bacterial communities. Proc Natl Acad Sci USA 2010; 107: 6477–81.
- 12Lax S, Gilbert JA. Forensic microbiology in built environments. In: DO Carter, JK Tomberlin, ME Benbow, JL Metcalf, editors. Forensic microbiology. Chichester, U.K.: John Wiley & Sons Ltd, 2017; 328–38.
10.1002/9781119062585.ch13 Google Scholar
- 13Lax S, Hampton-Marcell JT, Gibbons SM, Colares GB, Smith D, Eisen JA, et al. Forensic analysis of the microbiome of phones and shoes. Microbiome 2015; 3: 21.
- 14Kapono CA, Morton JT, Bouslimani A, Melnik AV, Orlinsky K, Knaan TL, et al. Creating a 3D microbial and chemical snapshot of a human habitat. Sci Rep 2018; 8: 3669.
- 15Lax S, Smith DP, Hampton-Marcell J, Owens SM, Handley KM, Scott NM, et al. Longitudinal analysis of microbial interaction between humans and the indoor environment. Science 2014; 345: 1048–52.
- 16Belk A, Xu ZZ, Carter DO, Lynne A, Bucheli S, Knight R, et al. Microbiome data accurately predicts the postmortem interval using random forest regression models. Genes 2018; 9: 104
- 17Pechal JL, Crippen TL, Benbow ME, Tarone AM, Dowd S, Tomberlin JK. The potential use of bacterial community succession in forensics as described by high throughput metagenomic sequencing. Int J Legal Med 2014; 128: 193–205.
- 18Metcalf JL, Parfrey LW, Gonzalez A, Lauber CL, Knights D, Ackermann G, et al. A microbial clock provides an accurate estimate of the postmortem interval in a mouse model system. eLife 2013; 2: e01104.
- 19Metcalf JL, Xu ZZ, Weiss S, Lax S, Van Treuren W, Hyde ER, et al. Microbial community assembly and metabolic function during mammalian corpse decomposition. Science 2016; 351: 158–62.
- 20Costello EK, Lauber CL, Hamady M, Fierer N, Gordon JI, Knight R. Bacterial community variation in human body habitats across space and time. Science 2009; 326: 1694–7.
- 21Grice EA, Segre JA. The human skin microbiome. Nat Rev Microbiol 2011; 9: 244–53.
- 22Grice EA, Kong HH, Conlan S, Deming CB, Davis J, Young AC, et al. Topographical and temporal diversity of the human skin microbiome. Science 2009; 324: 1190–2.
- 23Oh J, Byrd AL, Park M, Program NCS, Kong HH, Segre JA. Temporal stability of the human skin microbiome. Cell 2016; 165: 854–66.
- 24Vanderkolk JR. Examination process. In: A McRoberts, editors. The Fingerprint Sourcebook. Washington, DC: Department of Justice, 2011; 9.1–9.26.
- 25Olakanye AO, Thompson T, Komang Ralebitso-Senior T. Changes to soil bacterial profiles as a result of Sus scrofa domesticus decomposition. Forensic Sci Int 2014; 245: 101–6.
- 26Javan GT, Finley SJ, Can I, Wilkinson JE, Hanson JD, Tarone AM. Human thanatomicrobiome succession and time since death. Sci Rep 2016; 6: 29598.
- 27Finley SJ, Pechal JL, Benbow ME, Robertson BK, Javan GT. Microbial signatures of cadaver gravesoil during decomposition. Microb Ecol 2016; 71: 524–9.
- 28Hyde ER, Metcalf JL, Bucheli SR, Lynne AM, Knight R. Microbial communities associated with decomposing corpses. In: DO Carter, JK Tomberlin, ME Benbow, JL Metcalf, editors. Forensic microbiology. Chichester, U.K.: John Wiley & Sons Ltd, 2017; 245–73.
10.1002/9781119062585.ch10 Google Scholar
- 29Pechal JL, Schmidt CJ, Jordan HR, Benbow ME. Frozen: thawing and its effect on the postmortem microbiome in two pediatric cases. J Forensic Sci 2017; 62: 1399–405.
- 30Pechal JL, Crippen TL, Tarone AM, Lewis AJ, Tomberlin JK, Benbow ME. Microbial community functional change during vertebrate carrion decomposition. PLoS ONE 2013; 8: e79035.
- 31Weiss S, Carter DO, Metcalf JL, Knight R. Carcass mass has little influence on the structure of gravesoil microbial communities. Int J Legal Med 2016; 130: 253–63.
- 32Carter DO, Metcalf JL, Bibat A, Knight R. Seasonal variation of postmortem microbial communities. Forensic Sci Med Pathol 2015; 11: 202–7.
- 33 Earth Microbiome Project. http://www.earthmicrobiome.org (accessed October 3, 2018).
- 34Walters WA, Caporaso JG, Lauber CL, Berg-Lyons D, Fierer N, Knight R. PrimerProspector: de novo design and taxonomic analysis of barcoded polymerase chain reaction primers. Bioinformatics 2011; 27: 1159–61.
- 35Walters W, Hyde ER, Berg-Lyons D, Ackermann G, Humphrey G, Parada A, et al. Improved bacterial 16S rRNA Gene (V4 and V4-5) and fungal internal transcribed spacer marker gene primers for microbial community surveys. mSystems 2016; 1(1): e00009–15.
- 36Fierer N, Hamady M, Lauber CL, Knight R. The influence of sex, handedness, and washing on the diversity of hand surface bacteria. Proc Natl Acad Sci 2008; 105: 17994–9.
- 37Amir A, McDonald D, Navas-Molina JA, Kopylova E, Morton JT, Xu ZZ, et al. Deblur rapidly resolves single-nucleotide community sequence patterns. mSystems 2017; 2: e00191–16.
- 38Wang Q, Garrity GM, Tiedje JM, Cole JR. Naïve Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy. Appl Environ Microbiol 2007; 73: 5261–7.
- 39McDonald D, Price MN, Goodrich J, Nawrocki EP, DeSantis TZ, Probst A, et al. An improved Greengenes taxonomy with explicit ranks for ecological and evolutionary analyses of bacteria and archaea. ISME J 2012; 6: 610–8.
- 40Mirarab S, Nguyen N, Warnow T. SEPP: SATé-Enabled Phylogenetic Placement. Pacific Symp Biocomput 2012: 247–58.
- 41Lozupone CA, Knight R. UniFrac: a new phylogenetic method for comparing microbial communities. Appl Environ Microbiol 2005; 71: 8228–35.
- 42Lozupone CA, Hamady M, Kelley ST, Knight R. Quantitative and qualitative β diversity measures lead to different insights into factors that structure microbial communities. Appl Environ Microbiol 2006; 73: 1576–85.
- 43Vázquez-Baeza Y, Pirrung M, Gonzalez A, Knight R. EMPeror: a tool for visualizing high-throughput microbial community data. Gigascience 2013; 2(1): 16.
- 44 Scikit-learn. http://scikit-learn.org/stable/about.html#citing-scikit-learn (accessed October 3, 2018).
- 45Wilkins D, Leung MHY, Lee PKH. Microbiota fingerprints lose individually identifying features over time. Microbiome 2017; 5: 1.
- 46Carter DO, Yellowlees D, Tibbett M. Cadaver decomposition in terrestrial ecosystems. Naturwissenschaften 2007; 94: 12–24.
- 47Meadow JF, Altrichter AE, Green JL. Mobile phones carry the personal microbiome of their owners. PeerJ 2014; 2: e447.