Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/122027
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Type: Journal article
Title: Contamination in low microbial biomass microbiome studies: issues and recommendations
Author: Eisenhofer, R.
Minich, J.
Marotz, C.
Cooper, A.
Knight, R.
Weyrich, L.
Citation: Trends in Microbiology, 2019; 27(2):105-117
Publisher: Elsevier; Cell Press
Issue Date: 2019
ISSN: 0966-842X
1878-4380
Statement of
Responsibility: 
Raphael Eisenhofer, Jeremiah J. Minich, Clarisse Marotz, Alan Cooper, Rob Knight, and Laura S. Weyrich
Abstract: Next-generation sequencing approaches in microbiome research have allowed surveys of microbial communities, their genomes, and their functions with higher sensitivity than ever before. However, this sensitivity is a double-edged sword because these tools also efficiently detect contaminant DNA and cross-contamination, which can confound the interpretation of microbiome data. Therefore, there is an urgent need to integrate key controls into microbiome research to improve the integrity of microbiome studies. Here, we review how contaminant DNA and cross-contamination arise within microbiome studies and discuss their negative impacts, especially during the analysis of low microbial biomass samples. We then identify several key measures that researchers can implement to reduce the impact of contaminant DNA and cross-contamination during microbiome research. We put forward a set of minimal experimental criteria, the 'RIDE' checklist, to improve the validity of future low microbial biomass research.
Keywords: Microbiome; microbiota; DNA contamination; laboratory contamination; low biomass; methodology
Rights: © 2018 Elsevier Ltd. All rights reserved.
RMID: 0030105229
DOI: 10.1016/j.tim.2018.11.003
Grant ID: http://purl.org/au-research/grants/arc/DE150101574
http://purl.org/au-research/grants/arc/CE170100015
Appears in Collections:Australian Centre for Ancient DNA publications

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