Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/105860
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Type: Journal article
Title: Soil DNA metabarcoding and high-throughput sequencing as a forensic tool: considerations, potential limitations and recommendations
Author: Young, J.
Austin, J.
Weyrich, L.
Citation: FEMS Microbiology Ecology, 2017; 93(2):207-1-207-8
Publisher: Oxford University Press
Issue Date: 2017
ISSN: 0168-6496
1574-6941
Statement of
Responsibility: 
J.M. Young, J.J. Austin and L.S. Weyrich
Abstract: Analysis of physical evidence is typically a deciding factor in forensic casework by establishing what transpired at a scene or who was involved. Forensic geoscience is an emerging multi-disciplinary science that can offer significant benefits to forensic investigations. Soil is a powerful, nearly ‘ideal’ contact trace evidence, as it is highly individualistic, easy to characterise, has a high transfer and retention probability, and is often overlooked in attempts to conceal evidence. However, many real-life cases encounter close proximity soil samples or soils with low inorganic content, which cannot be easily discriminated based on current physical and chemical analysis techniques. The capability to improve forensic soil discrimination, and identify key indicator taxa from soil using the organic fraction is currently lacking. The development of new DNA sequencing technologies offers the ability to generate detailed genetic profiles from soils and enhance current forensic soil analyses. Here, we discuss the use of DNA metabarcoding combined with high-throughput sequencing (HTS) technology to distinguish between soils from different locations in a forensic context. Specifically, we provide recommendations for best practice, outline the potential limitations encountered in a forensic context and describe the future directions required to integrate soil DNA analysis into casework.
Keywords: Soil; forensic; DNA; high-throughput sequencing; geoscience
Rights: © FEMS 2016. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com
RMID: 0030070246
DOI: 10.1093/femsec/fiw207
Grant ID: http://purl.org/au-research/grants/arc/LP34107393
Appears in Collections:Genetics publications

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