A microbial clock provides an accurate estimate of the postmortem interval in a mouse model system

Author:

Metcalf Jessica L1,Wegener Parfrey Laura1,Gonzalez Antonio1,Lauber Christian L2,Knights Dan34,Ackermann Gail1,Humphrey Gregory C1,Gebert Matthew J1,Van Treuren Will1,Berg-Lyons Donna1,Keepers Kyle1,Guo Yan5,Bullard James6,Fierer Noah27,Carter David O8,Knight Rob191011

Affiliation:

1. Biofrontiers Institute, University of Colorado at Boulder, Boulder, United States

2. Cooperative Institute for Research in Environmental Sciences, University of Colorado at Boulder, Boulder, United States

3. Department of Computer Science and Engineering, University of Minnesota, Minneapolis, United States

4. BioTechnology Institute, University of Minnesota, Saint Paul, United States

5. Field Application Support, Pacific Biosciences, Menlo Park, United States

6. Biostatistics, Pacific Biosciences, Menlo Park, United States

7. Department of Ecology and Evolutionary Biology, University of Colorado at Boulder, Boulder, United States

8. Laboratory of Forensic Taphonomy, Division of Natural Sciences and Mathematics, Chaminade University of Honolulu, Honolulu, United States

9. Howard Hughes Medical Institute, University of Colorado at Boulder, Boulder, United States

10. Department of Computer Science, University of Colorado at Boulder, Boulder, United States

11. Department of Chemistry and Biochemistry, University of Colorado at Boulder, Boulder, United States

Abstract

Establishing the time since death is critical in every death investigation, yet existing techniques are susceptible to a range of errors and biases. For example, forensic entomology is widely used to assess the postmortem interval (PMI), but errors can range from days to months. Microbes may provide a novel method for estimating PMI that avoids many of these limitations. Here we show that postmortem microbial community changes are dramatic, measurable, and repeatable in a mouse model system, allowing PMI to be estimated within approximately 3 days over 48 days. Our results provide a detailed understanding of bacterial and microbial eukaryotic ecology within a decomposing corpse system and suggest that microbial community data can be developed into a forensic tool for estimating PMI.

Funder

Amazon Web Services (AWS) in Education Researchers Grant

National Institutes of Justice

Howard Hughes Medical Institute

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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