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Estimation of inherent bacterial DNA contamination in a qPCR master mix: concerns about background DNA of reagents

Research Output: Contribution to journal Article Peer-review

Publication Information

Output type

Research Output: Contribution to journal Article Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 180-186 (7 pages)

Journal (Volume, Issue Number)

Minerva Biotechnology and Biomolecular Research (Volume 34, Issue 4)

Publication milestones

  • Published - 12/2022

Publication status

Published - 12/2022

ISSN

2724-542X

Publication IDs

  • Scopus: 85143706068

Abstract

BACKGROUND: The present study estimated the total inherent DNA contamination of a commercially available qPCR (quantitative Real-Time polymerase chain reaction) master mix. A previous step of DNase treatment with both DNase I and a double strand specific DNase failed to remove the background contamination, even with varying enzymatic concentrations and incubation times. METHODS: Absolute quantification by qPCR was done with a 16S rRNA gene standard qPCR curve from genomic DNA of Escherichia coli, using a previously unopened vial of a commercial SYBR green master mix to estimate the total inherent bacterial contamination of the mix. Additionally, qPCR with primers specific for the rpoB gene of Enterobacterales was performed with a clinical serum sample with unknown bacterial load. RESULTS: The estimated mean (standard deviation) of bacterial DNA of the master mix was 171.211 (21.140) E. coli equivalent genomes per µL of master mix. The clinical sample had a higher CT value compared with the non-template control. This could be attributable to an inhibitory effect of human DNA in the serum with an expected low quantity of bacterial DNA. CONCLUSIONS: Estimation of the background bacterial DNA of molecular grade reagents is strongly suggested as a validation measure before sample analysis for bacterial quantification studies by qPCR, in particular when the expected bacterial DNA load is low.

Funding Details

The present study was funded by “Beca Cabieses - Fondo Semilla para Docentes”, as part of the research project “Determinación de la trans-locación bacteriana en cohorte de pacientes COVID-19 (moderado y severo) mediante cuantificación del gen 16S rRNA bacteriano en suero. Relación con respuesta de citoquinas y parámetros clínicos” from Universidad Científica del Sur – Peru. We express our sincere gratitude to Salyoc Tapia Rojas and Ana Mayanga Herrera for their suggestions on improving the experiments reported herein.
FundersFunding numbersUCSUR: UCS-