Literature DB >> 28244273

The human microbiome: an emerging tool in forensics.

Jarrad T Hampton-Marcell1,2,3, Jose V Lopez4, Jack A Gilbert1,3,5.   

Abstract

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Year:  2017        PMID: 28244273      PMCID: PMC5328825          DOI: 10.1111/1751-7915.12699

Source DB:  PubMed          Journal:  Microb Biotechnol        ISSN: 1751-7915            Impact factor:   5.813


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Advances in sequencing technology have enabled DNA profiling to become a staple in criminal forensics. Short tandem repeats (STRs) embedded in an individuals’ genetic code enable authorities to take advantage of biological variability to accurately identify and discriminate among people. According to the National DNA Index System (NDIS), CODIS, a DNA database containing more than 12 million profiles, has assisted in more than 340,000 criminal investigations in the USA (CODIS ‐ NDIS Statistics, n.d.). However, this still represents a small percentage of total crimes committed. Indeed, many criminal cases still go unsolved despite advances in DNA profiling; for example, in 2015, only 20% of residential burglaries (>1.5 million) were resolved by authorities, according to the 2015 FBI Uniform Crime Reporting statistics (Clearances, n.d.). This can be explained in part by resource allocation, as burglaries are not prioritized for investigation compared to other higher profile crimes (Paré et al., 2007; Coupe, 2016), which can lead to significantly reduced response times, resulting in crime scene evidence contamination or destruction, further impeding investigative efficiency. Therefore, there is a need to improve the lines of evidence that can be acquired to link perpetrators to the crime scene. Improving trace evidence options for criminal investigations is a major focus for forensic research specialists globally. One possible option that has recently emerged encompasses the symbiotic microorganisms that reside in and on our bodies. The NIH‐funded ‘Human Microbiome Project’ (HMP) has significantly improved the scientific and public recognition of the vital importance of symbiont ecology to host health and development (Consortium, 2012; Methé et al., 2012; Grice, 2015). There are approximately as many bacterial cells in our body as human cells (Sender et al., 2016) and the compliment of bacterial taxa, especially at the subspecies level, appears to be unique to each person (Zhu et al., 2015) offering a compelling opportunity to develop a new identifiable marker unique to the individual. The microbiome is even unique in identical twins (Goodrich et al., 2014), theoretically offering an opportunity to increase identity resolution over that possible with human genome evidence. However, the microbiome changes over time in an individual (Oh et al., 2016), so how can it be used to identify a person? While the relative proportions of the bacteria do indeed change, the composition of the community appears to be relatively stable (Caporaso et al., 2011; David et al., 2014), although this stability and continued identifiability are areas of active research. Interestingly, the fluctuations in the structure and composition of the microbiome may contain useful information that could also be used for forensic purposes. Host lifestyle, including diet, occupation, travel, and pharmaceutical use, can influence the composition and structure of microbiome. This suggests that profiling the microbial community in and on our body could also help to reveal details about an individual's lifestyle (Gonzalez et al., 2016; Kuntz and Gilbert, 2017), which could represent new trace evidence. Profiling the microbiome may be useful in identifying a person or their lifestyle characteristics, but for burglary, the microbiome of the perpetrator would need to be detected at the crime scene, in their absence, while retaining the identifiable characteristics. In support of this, we know that humans shed ~30 million bacterial cells into their vicinity every hour (Qian et al., 2012) and researchers have already demonstrated the forensic potential of the microbiota left behind by people on physical surfaces. For example, the bacterial community found on your finger tips (microbial fingerprint) could be traced on a keyboard, so that which keyboard, and even which keys, a person used could be identified based on the bacterial residue (Fierer et al., 2010). Furthermore, mobile phones carry the personal microbial signatures of the owner (Meadow et al., 2014; Lax et al., 2015). Importantly, these are just preliminary studies, and the results and conclusions cannot be used to justify the application of microbial sequencing to forensic studies. However, the statistical basis for the accurate matching of a person to their microbiota, and evidence that a residual microbial fingerprint could be used to discriminate individuals, does suggest that in the future, it may be possible to use these profiles for forensic investigations. Yet, however intimate the association, because microbial compositions can shift with environmental factors and over time, they cannot be definitively equated with the host genome profile. Therefore, a substantial amount of research is still required to prove that residual microbial fingerprints can be used as effective trace evidence. This is currently being undertaken as part of a National Institute of Justice programme of awards that focus on research into the use of the microbiome and metabolome for forensic investigation. While microbiome profiling could potentially serve as a complement to human DNA profiling, it is not clear whether the microbiome can scale across institutions using forensic‐based evidence due to the data resource requirements and the associated costs for maintaining these databases. DNA profiling still needs to be matched to a subject, and additional trace evidence can help to narrow the search for a perpetrator, which creates a need for profiling techniques that are not limited to CODIS. For serial burglaries, modus operandi behaviour has shed some light by modelling various crime scenes (Markson et al., 2010). While helpful, it is limited to frequency and geography, which could be influenced by a number of different factors. Researchers have shown that cosmetics, antibiotics usage, dietary profiles, and even health states have been associated with corresponding changes in the skin microbiota (Rosenthal et al., 2011). Citizen science‐based research initiatives like the Human Microbiome Project and others (Huttenhower et al., 2012; Methé et al., 2012) are creating vast data resources that can help to predict host–microbiome relationships that could improve our ability to predict specific lifestyle characteristics based on a residual microbial signature. While human microbial fingerprinting should never replace traditional DNA profiling techniques, there is the possibility that in the future, it could help augment existing trace evidence options for forensic researchers. This will require substantial investment in standardization and implementation of microbiome profiling techniques, as well as the development of detection technologies that could automate or rapidly advance microbiome profiling. Such innovation necessitates new enterprise and job creation, which can help to advance the translation of this burgeoning area of science. The potential to integrate bioinformatists and microbial ecologists as paid position in forensic laboratories is not as far‐fetched as it might seem at first glance. The authors have visited the lead forensic laboratory in China, and have seen first‐hand that microbiome science is already being used to advance trace evidence for criminal activity. One such example included matching the microbial profile of residual soil on a shovel owned by a suspect to the grave site of a murder. By collecting soil samples from hundreds of sites in the area, it was possible to predict with an extremely high probability that the soil of the shovel came from the grave site based entirely on the microbiome profile. Even though there is much work to be done, having a microbial database that complements CODIS could prove an effective method to lowering crime rates and clearing cases.
  14 in total

1.  Temporal Stability of the Human Skin Microbiome.

Authors:  Julia Oh; Allyson L Byrd; Morgan Park; Heidi H Kong; Julia A Segre
Journal:  Cell       Date:  2016-05-05       Impact factor: 41.582

Review 2.  Introducing the Microbiome into Precision Medicine.

Authors:  Thomas M Kuntz; Jack A Gilbert
Journal:  Trends Pharmacol Sci       Date:  2016-11-01       Impact factor: 14.819

Review 3.  Skin microbiota: microbial community structure and its potential association with health and disease.

Authors:  Mariana Rosenthal; Deborah Goldberg; Allison Aiello; Elaine Larson; Betsy Foxman
Journal:  Infect Genet Evol       Date:  2011-04-02       Impact factor: 3.342

4.  Human genetics shape the gut microbiome.

Authors:  Julia K Goodrich; Jillian L Waters; Angela C Poole; Jessica L Sutter; Omry Koren; Ran Blekhman; Michelle Beaumont; William Van Treuren; Rob Knight; Jordana T Bell; Timothy D Spector; Andrew G Clark; Ruth E Ley
Journal:  Cell       Date:  2014-11-06       Impact factor: 41.582

5.  Moving pictures of the human microbiome.

Authors:  J Gregory Caporaso; Christian L Lauber; Elizabeth K Costello; Donna Berg-Lyons; Antonio Gonzalez; Jesse Stombaugh; Dan Knights; Pawel Gajer; Jacques Ravel; Noah Fierer; Jeffrey I Gordon; Rob Knight
Journal:  Genome Biol       Date:  2011       Impact factor: 13.583

6.  The intersection of microbiome and host at the skin interface: genomic- and metagenomic-based insights.

Authors:  Elizabeth A Grice
Journal:  Genome Res       Date:  2015-10       Impact factor: 9.043

7.  Host lifestyle affects human microbiota on daily timescales.

Authors:  Lawrence A David; Arne C Materna; Jonathan Friedman; Maria I Campos-Baptista; Matthew C Blackburn; Allison Perrotta; Susan E Erdman; Eric J Alm
Journal:  Genome Biol       Date:  2014       Impact factor: 13.583

8.  Forensic analysis of the microbiome of phones and shoes.

Authors:  Simon Lax; Jarrad T Hampton-Marcell; Sean M Gibbons; Geórgia Barguil Colares; Daniel Smith; Jonathan A Eisen; Jack A Gilbert
Journal:  Microbiome       Date:  2015-05-12       Impact factor: 14.650

9.  Mobile phones carry the personal microbiome of their owners.

Authors:  James F Meadow; Adam E Altrichter; Jessica L Green
Journal:  PeerJ       Date:  2014-06-24       Impact factor: 2.984

10.  Migraines Are Correlated with Higher Levels of Nitrate-, Nitrite-, and Nitric Oxide-Reducing Oral Microbes in the American Gut Project Cohort.

Authors:  Antonio Gonzalez; Embriette Hyde; Naseer Sangwan; Jack A Gilbert; Erik Viirre; Rob Knight
Journal:  mSystems       Date:  2016-10-18       Impact factor: 6.496

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  18 in total

Review 1.  Microbiomes in forensic botany: a review.

Authors:  Sarah Ishak; Eleanor Dormontt; Jennifer M Young
Journal:  Forensic Sci Med Pathol       Date:  2021-04-08       Impact factor: 2.007

2.  Retrieving forensic information about the donor through bacterial profiling.

Authors:  Katherine Phan; Mark Barash; Xanthe Spindler; Peter Gunn; Claude Roux
Journal:  Int J Legal Med       Date:  2019-04-30       Impact factor: 2.686

Review 3.  Forensic Analysis of Human Microbiome in Skin and Body Fluids Based on Geographic Location.

Authors:  Hye-Won Cho; Yong-Bin Eom
Journal:  Front Cell Infect Microbiol       Date:  2021-08-12       Impact factor: 5.293

Review 4.  Forensic genetics and genomics: Much more than just a human affair.

Authors:  Miguel Arenas; Filipe Pereira; Manuela Oliveira; Nadia Pinto; Alexandra M Lopes; Veronica Gomes; Angel Carracedo; Antonio Amorim
Journal:  PLoS Genet       Date:  2017-09-21       Impact factor: 5.917

5.  Help, hope and hype: ethical considerations of human microbiome research and applications.

Authors:  Yonghui Ma; Hua Chen; Canhui Lan; Jianlin Ren
Journal:  Protein Cell       Date:  2018-05       Impact factor: 14.870

6.  Communicating the promise, risks, and ethics of large-scale, open space microbiome and metagenome research.

Authors:  Daria Shamarina; Iana Stoyantcheva; Christopher E Mason; Kyle Bibby; Eran Elhaik
Journal:  Microbiome       Date:  2017-10-04       Impact factor: 14.650

7.  The contribution of microbial biotechnology to economic growth and employment creation.

Authors:  Kenneth Timmis; Victor de Lorenzo; Willy Verstraete; Juan Luis Ramos; Antoine Danchin; Harald Brüssow; Brajesh K Singh; James Kenneth Timmis
Journal:  Microb Biotechnol       Date:  2017-09-04       Impact factor: 5.813

8.  The urgent need for microbiology literacy in society: children as educators.

Authors:  Kenneth Timmis; James Timmis; Franziska Jebok
Journal:  Microb Biotechnol       Date:  2020-07-10       Impact factor: 5.813

Review 9.  Emerging Priorities for Microbiome Research.

Authors:  Chad M Cullen; Kawalpreet K Aneja; Sinem Beyhan; Clara E Cho; Stephen Woloszynek; Matteo Convertino; Sophie J McCoy; Yanyan Zhang; Matthew Z Anderson; David Alvarez-Ponce; Ekaterina Smirnova; Lisa Karstens; Pieter C Dorrestein; Hongzhe Li; Ananya Sen Gupta; Kevin Cheung; Jennifer Gloeckner Powers; Zhengqiao Zhao; Gail L Rosen
Journal:  Front Microbiol       Date:  2020-02-19       Impact factor: 5.640

10.  CoproID predicts the source of coprolites and paleofeces using microbiome composition and host DNA content.

Authors:  Maxime Borry; Bryan Cordova; Angela Perri; Marsha Wibowo; Tanvi Prasad Honap; Jada Ko; Jie Yu; Kate Britton; Linus Girdland-Flink; Robert C Power; Ingelise Stuijts; Domingo C Salazar-García; Courtney Hofman; Richard Hagan; Thérèse Samdapawindé Kagoné; Nicolas Meda; Helene Carabin; David Jacobson; Karl Reinhard; Cecil Lewis; Aleksandar Kostic; Choongwon Jeong; Alexander Herbig; Alexander Hübner; Christina Warinner
Journal:  PeerJ       Date:  2020-04-17       Impact factor: 2.984

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