TY - JOUR
T1 - A microbial clock provides an accurate estimate of the postmortem interval in a mouse model system
AU - Metcalf, Jessica L.
AU - Parfrey, Laura Wegener
AU - Gonzalez, Antonio
AU - Lauber, Christian L.
AU - Knights, Dan
AU - Ackermann, Gail
AU - Humphrey, Gregory C.
AU - Gebert, Matthew J.
AU - Van Treuren, Will
AU - Berg-Lyons, Donna
AU - Keepers, Kyle
AU - Guo, Yan
AU - Bullard, James
AU - Fierer, Noah
AU - Carter, David O.
AU - Knight, Rob
PY - 2013/10/15
Y1 - 2013/10/15
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84885895443&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84885895443&partnerID=8YFLogxK
U2 - 10.7554/eLife.01104.001
DO - 10.7554/eLife.01104.001
M3 - Article
C2 - 24137541
AN - SCOPUS:84885895443
SN - 2050-084X
VL - 2013
JO - eLife
JF - eLife
IS - 2
M1 - e01104
ER -