Journal Article

Microbiome Tools for Forensic Science

Carter, David O., Knight, Rob, Dorrestein, Pieter, Xu, Zhenjiang Z., Bouslimani, Amina, Metcalf, Jessica L.

2017

Overview

Microbes are present at every crime scene and have been used as physical evidence for over a century. Advances in DNA sequencing and computational approaches have led to recent breakthroughs in the use of microbiome approaches for forensic science, particularly in the areas of estimating postmortem intervals (PMIs), locating clandestine graves, and obtaining soil and skin trace evidence. Low-cost, high-throughput technologies allow us to accumulate molecular data quickly and to apply sophisticated machine-learning algorithms, building generalizable predictive models that will be useful in the criminal justice system. In particular, integrating microbiome and metabolomic data has excellent potential to advance microbial forensics. Microbes have been used as physical evidence for over a century. With recent advances in microbiome science, new opportunities exist for microbiome technologies in forensic science, particularly in the areas of estimating PMIs, location of clandestine graves, and soil and skin trace evidence. Integrating microbiome and metabolomic data sets has the potential to improve our predictive ability, thereby lowering error rates, which is key to establishing new methods for the criminal justice system. Low-cost, high-throughput technologies allow us to accumulate data quickly and to apply sophisticated machine-learning algorithms, building generalizable predictive models.

• Publisher: Elsevier Ltd,Elsevier Limited
• Subject: Algorithms / Animals / Artificial intelligence / Bacteria / Chromatography / Classification / Computer applications / Crime / Criminal law / Deoxyribonucleic acid / DNA / DNA sequencing / Forensic engineering / Forensic science / Forensic sciences / Forensic Sciences - methods / Forensic Sciences - trends / forensics / Gene expression / Genomes / High-Throughput Nucleotide Sequencing / Humans / Internal Medicine / Judicial system / Learning algorithms / Machine Learning / metabolomic / Metabolomics / microbiome / Microbiota / Microorganisms / Neural networks / postmortem changes / postmortem interval / Prediction models / sequence analysis / Skin / social justice / soil / Taxonomy / trace evidence