Guidelines of Microbiome Utilization for Forensic Science

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Raweerot Chansukko
Thiti Mahacharoen


The purpose of this study is evidence, method of microbiome for forensic work and propose guideline of microbiome for evidence analysis in forensic science. This study is quality research by analysis both Thailand and foreign countries researches relevant microbiome in forensic science.  The results of this study revealed that microbiome can be used for three forensic applications. There are 1) identification 2) geolocation and 3) postmortem intervals. Identification can be examined by observing the proportion of bacteria and types of bacteria rarely found in each individual. To specify the location, microbiome can be detected from soil and saliva having different microbiome pattern in each region. The estimated duration of death is determined by bacteria growing in each period after death. An appropriate method for sequencing of microbiome is Next Generation Sequencing technology. It is a perfect technique for sequencing of many bacteria quick, precised and inexpensive. In conclusion, microbiome has the potential for identification and geolocation narrowed the scope of information and can be used to estimate the duration of death.


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Chansukko, R., & Mahacharoen, T. (2020). Guidelines of Microbiome Utilization for Forensic Science. Journal of Criminology and Forensic Science, 6(2), 16-30. Retrieved from
Research Articles


1. Chamsuwannawong, A. et. al. (2002). Forensic Science 4 for Crime Investigation. 1st ed. Bangkok¬: Daorerk¬. (In Thai)
2. Chamsuwannawong, A. et. al. (2009). Forensic Science 2 for Crime Investigation. 6th ed. Bangkok: G.B.P Center. (In Thai)
3. Chun, L.P. et al. (2015). An initial investigation into the ecology of culturable aerobic postmortem bacteria. Science and Justice, 55(6), 394-401.
4. Clarke, T.H. et. al. (2017). Integrating the microbiome as a resource in the forensics toolkit. Forensic Science International: Genetics. 30, 141-147.
5. David, L.A. et. al. (2014), Host lifestyle affects human microbiota on daily timescales. Genome Biology. 15, 1-15.
6. Fierer, N. et. al. (2008). The influence of sex, handedness, and washing on the diversity of hand surface bacteria. Proceedings of the National Academy of Sciences. 105(46), 17994-17999.
7. Handke, J. et. al. (2017). Successive bacterial colonization of pork and its implications for forensic investigation. Forensic science international. 281, 1-8.
8. Hauther, K.A. et. al. (2015). Estimating time since death from postmortem human gut microbial communities. Journal of forensic sciences. 60(5), 1234-1240.
9. Hewitt, K.M. et. al. (2012). Office space bacterial abundance and diversity in three meterpolitan areas. PLOS ONE. 7(5), 1-7.
10. Huiprasert, L. (2019). Chapter 3 The duration of death and the change after death. Retrived 23 July 2019, From (In Thai)
11. Iancu, L. et. al. (2015). Using bacterial and necrophagous insect dynamics for post-mortem interval estimation during cold season: Novel case study in Romania. Forensic science international. 254, 106-117.
12. Iancu, L., Junkins, E.N. & Purcarea, C. (2018). Characterization and microbial analysis of first recorded observation of Conicera similis Haliday (Diptera: Phoridae) in forensic decomposition study in Romania. Journal of Forensic and Legal Medicine. 58, 50-55.
13. Jing Li et. al. (2014). Comparative analysis of the human saliva microbiome from different climate zones: Alaska, Germany, and Africa. BMC Microbiology, 14(316), 1-13.
14. Jisun Park et. al. (2017). Microbial forensic analysis of human-associated bacteria inhibiting hand surface. Forensic Science International: Genetics Supplement Series. 6, e510-e512.
15. Lax, S. et. al. (2015). Forensic analysis of the microbiome of phones and shoes. Microbiome. 3(21), 1-8.
16. Metcalf, J.L. et. al. (2017). Microbiome tools for forensic science. Trends in Biotechnology. 35(9), 814-823.
17. Olakanye, A.O., Thompson, T. & Ralebitso, T.K. (2014). Changes to soil bacterial profiles as a result of Sus scrofa domesticus decomposition. Forensic Science International. 245, 101-106.
18. Polrob, S. (2018). Crime victims and innocent people in criminal cases. Retrived 11 December 2018, from (In Thai)
19. Rerkamnauychoke, B. (2018). Recent Advances in Forensic Genetics. 1st ed. Bangkok: Beyond enterprise. (In Thai)
20. Sinloyma, P. (2019). An Introduction to Forensic Science. Retrived 20 August 2019, from (In Thai)
21. Somboonna, N. et. al. (2017). Soil microbiome in the north-eastern part of Thailand. Unisearch journal. 4(1), 10-16.
22. So-Yeon Lee et. al. (2015). Microbial forensic analysis of bacterial fingerprint by sequence comparison of 16S rRNA gene. Journal of Forensic Research. 6(5), pp.1-4.
23. Sukpaluk, W., Sangsophonjit, S. and Jirajaroenrat, K. (2009). Study on bacteria diversity in chicken intestinal tract by molecular approach. Faculty of Agricultural Technology Thesis King Mongkut's Institute of Technology Ladkrabang, Bangkok. (In Thai)
24. Ukoskit, K., Raksuksombat, M. & Khanbo, S. (2015). Second and Third Generation Sequencing Technologies. Thai Science and Technology Journal. 23(4), 633-650. (In Thai)
25. Wilantho, A. et. al. (2012). Next generation sequencing (NGS) technologies and their applications in omics-research. Thai Journal of Genetics. 5(2), 104-129. (In Thai)
26. William, D.W. & Gibson, G. (2017). Individualization of pubic hair bacterial communities and the effects of storage time and temperature. Forensic Science International: Genetics, 26, 12-20.