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Using Microbiome Tools for Estimating the Postmortem Interval

NCJ Number
310501
Author(s)
Heather Deel; Sibyl Bucheli; Aeriel Belk; Sam Ogden; Aaron Lynne; David O. Carter; Rob Knight; Jessica L. Metcalf
Date Published
2020
Length
21 pages
Annotation

This book chapter examines the development of a microbial clock for estimating postmortem interval, and discusses the remaining knowledge gaps and hurdles to technology adoption.

Abstract

Estimating the postmortem interval (PMI) of human remains is important in criminal investigations. Microbes play an important role in the process of decomposition and can provide clues about the time elapsed since death. Host-associated and environmental microbial communities have been shown to undergo succession in a predictable, clock-like manner during decomposition. High-throughput DNA sequencing can be used to inexpensively and rapidly track these microbial community shifts, and machine learning techniques can use these data to develop predictive models. In this chapter, the authors discuss the development of a microbial clock for estimating PMI, as well as remaining knowledge gaps and hurdles to technology adoption. (Published Abstract Provided)