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Updated: Jul 11, 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
Synthetic oligonucleotides as quantitative PCR standards for quantifying microbial genes
Xingguo Han1, Karin Beck2, Helmut Bürgmann2
1Forest Soils and Biogeochemistry, Swiss Federal Institute for Forest, Snow and Landscape Research (WSL), Birmensdorf, Switzerland.
Synthetic DNA fragments offer a faster, cheaper, and equally reliable alternative to traditional plasmid standards for quantitative PCR (qPCR) assays in microbial ecology.
Area of Science:
- Microbial Ecology
- Molecular Biology
- Environmental Science
Background:
- Real-time quantitative PCR (qPCR) is crucial for gene copy number quantification in microbial ecology.
- Traditional qPCR standard production involves tedious DNA cloning into plasmids.
- This bottleneck hinders the establishment of new qPCR assays.
Purpose of the Study:
- To develop and validate synthetic DNA fragments as efficient qPCR standards.
- To compare the performance of synthetic DNA standards against traditional plasmid standards.
- To assess the time and cost-efficiency of synthetic DNA standards.
Main Methods:
- Consensus sequences from 10-20 microbial genes were aligned to design synthetic DNA fragments.
- qPCR assays were performed using both synthetic DNA and plasmid standards.
- Assays targeted phylogenetic marker and functional genes in carbon (C) and nitrogen (N) cycling.
- Experiments utilized DNA extracted from diverse soil samples.
Main Results:
- qPCR standard curves generated using synthetic DNA performed comparably to those from plasmids.
- Gene copy numbers quantified using synthetic standards were consistent with plasmid standards.
- Synthetic DNA standards demonstrated equal sensitivity and reliability across tested genes and soil types.
Conclusions:
- Synthetic DNA fragments serve as effective qPCR standards, matching plasmid performance.
- This method significantly reduces the time and cost associated with qPCR assay development.
- The approach streamlines microbial gene quantification in ecological studies.
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