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Published on: January 22, 2018
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Plasmid DNA contaminant in molecular reagents
N Wally1, M Schneider1, J Thannesberger1
1Division of Infectious Diseases, Department of Medicine 1, Medical University of Vienna, Vienna, Austria.
Scientific Reports
|February 9, 2019
Summary
Plasmid DNA contamination is common in molecular biology reagents, potentially skewing metagenomic study results. Researchers must critically evaluate datasets for this background noise to ensure accurate findings.
Area of Science:
- Molecular Biology
- Metagenomics
- Bioinformatics
Background:
- Background noise in metagenomic studies is a significant challenge, often requiring extensive bioinformatics filtering.
- Low signal-to-noise ratios can lead to the loss of important biological signals.
- The potential for plasmid residues in reagents to cause bias has not been previously investigated.
Purpose of the Study:
- To investigate the prevalence and impact of plasmid DNA contamination in molecular biology reagents.
- To identify sources of plasmid contamination within the reagent production and handling chain.
- To assess the influence of plasmid contamination on metagenomic data analysis and interpretation.
Main Methods:
- Utilized a metagenomic approach to identify plasmid sequences in various samples and reagents.
- Traced identified plasmid sequences back to their potential sources, including expression plasmids.
- Conducted retrospective analyses of published metagenomic studies to evaluate signal-to-noise differentiation.
Main Results:
- Plasmid sequences, including fragments of the equine infectious anemia virus (pol) gene, were found to be omnipresent in molecular biology reagents.
- Identified contamination from expression plasmids in human samples and commercial polymerase preparations.
- Demonstrated that contamination can originate from reagent production, environmental sources, or sample handling.
Conclusions:
- Plasmid DNA contamination in molecular biology reagents is a widespread issue that can significantly bias metagenomic datasets.
- Inaccurate differentiation of signal from noise in existing studies may be attributed to this contamination.
- Critical assessment of metagenomic data for plasmid background noise is essential for reliable genomic and clinical interpretations.
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