bioRxivMolecular BiologyPreprint
Assessing contamination in DNA extraction kits commonly used for microbiome research
Jorden T. RabascoiD, Samantha C. KisthardtiD, Casey M. TheriotiD, Benjamin J. CallahaniD
- Citations
- 1
Abstract
Sequencing-based measurements are now routinely used to investigate the microbial world, however, contamination by DNA outside the intended sample remains a problem. Contaminants obscure the true microbial signal and can lead to misleading scientific interpretations. Much work has been done to address the effects of these contaminants including best practices as outlined in Eisenhofer et al. and Fierer et al. Yet, even with best practices in place, the current literature consensus is that contaminants remain impactful, at least in low biomass environments (5, 7, 11, 13, 16). One well-known source of contaminants are those found within DNA extraction kits, as was shown clearly in the pioneering work of Salter et al. 2012 and Karstens et al. 2019. However, given the rapid evolution of DNA sequencing methods, it would be worthwhile to revisit the issue of contaminants in contemporary DNA extraction kits (the "kitome"). Here we provide an updated characterization of the kitomes of DNA extraction kits commonly used for microbiome research. ImportanceMicrobial contamination in commonly used DNA extraction kits has not been recently assessed. Here we evaluate the contamination in DNA extraction kits commonly used in microbiome studies over the past several years, and provide actionable guidance on appropriate DNA extraction kits for low biomass microbiome measurements.
- assay: metagenomics
- research focus: benchmarking
- research focus: database / resource
- approach: experimental assay
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Reagent contamination can critically impact sequence-based microbiome analyses
Susannah Salter, Michael J Cox, … Alan W Walker·bioRxiv·Jul 16, 2014
- Quantifying and understanding well-to-well contamination in microbiome research
Jeremiah J. Minich, Jon G. Sanders, … Rob D. Knight·mSystemsPeer-reviewed·Jun 24, 2019
- Squeegee: de-novo identification of reagent and laboratory induced microbial contaminants in low biomass microbiomes
Yunxi Liu, Ryan A. Leo Elworth, … Todd J. Treangen·bioRxiv·May 6, 2021
- Laboratory contamination over time during low-biomass sample analysis
L. Weyrich, A. G. Farrer, … A. Cooper·bioRxiv·Nov 2, 2018
- Using strain-resolved analysis to identify contamination in metagenomics data
Y. C. Lou, J. Hoff, … J. F. Banfield·bioRxiv·Jan 16, 2022
- Controlling for contaminants in low biomass 16S rRNA gene sequencing experiments
Lisa Karstens, Mark J. Asquith, … Shannon K. McWeeney·mSystemsPeer-reviewed·Jun 3, 2019