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Updated: Jul 24, 2025

Simultaneous DNA-RNA Extraction from Coastal Sediments and Quantification of 16S rRNA Genes and Transcripts by Real-time PCR
Published on: June 11, 2016
Vibrio-Sequins - dPCR-traceable DNA standards for quantitative genomics of Vibrio spp
Sabrina Flütsch1,2, Fabian Wiestner3,4, Lisa Butticaz5,4
1Swiss Federal Institute of Metrology METAS, Lindenweg 50, Bern-Wabern, 3003, Switzerland. Sabrina.Fluetsch@metas.ch.
This study introduces a novel quantitative next-generation sequencing (NGS) method for accurately measuring Vibrio bacteria. By integrating artificial DNA standards and digital PCR (dPCR), this approach enhances the reliability of genomic quantification for foodborne pathogen detection.
Area of Science:
- Microbiology
- Genomics
- Molecular Biology
Background:
- Vibrio spp. are significant marine bacteria causing global foodborne gastroenteritis outbreaks.
- Traditional culture-based detection methods are being replaced by Next-Generation Sequencing (NGS).
- NGS methods face technical biases affecting genomic quantification accuracy.
Purpose of the Study:
- To develop a quantitative NGS-based method for precise Vibrio spp. enumeration.
- To establish absolute quantification using artificial DNA standards and digital PCR (dPCR).
- To improve the accuracy and reliability of genomic-based microbial detection.
Main Methods:
- Development of six artificial DNA standards (Vibrio-Sequins).
- Optimization of TaqMan assays and validation of three duplex dPCR methods.
- Application of a quantitative genomics approach combining NGS and dPCR for DNA quantification.
Main Results:
- Established limits of quantification (LOQ) from 20 to 120 cp/µl for Vibrio-Sequins.
- Achieved a consistent limit of detection (LOD) of approximately 10 cp/µl across all assays.
- Demonstrated enhanced quantitative power through the integration of NGS and dPCR in a proof-of-concept study.
Conclusions:
- Advanced quantitative (meta)genomic methods by ensuring metrological traceability in NGS DNA quantification.
- Provided a robust tool for future metagenomic studies requiring absolute microbial DNA quantification.
- Facilitated the development of statistical approaches for estimating measurement uncertainties in NGS data.
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