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Resolving Species Level Changes in a Representative Soil Bacterial Community Using Microfluidic Quantitative PCR.

Hannah Kleyer1, Robin Tecon1, Dani Or1

  • 1Soil and Terrestrial Environmental Physics, Department of Environmental Systems Science, ETH Zürich, Zurich, Switzerland.

Frontiers in Microbiology
|November 10, 2017
PubMed
Summary

This study introduces a microfluidic quantitative PCR (qPCR) method for precise bacterial species quantification. This technique offers a high-throughput alternative to sequencing for determining absolute bacterial abundance in complex communities.

Keywords:
Fluidigmabsolute quantificationcommunity assemblymicrobial ecologyporous mediareal-time PCRsoil bacterial communitysynthetic community

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Area of Science:

  • Microbiology
  • Molecular Biology
  • Environmental Science

Background:

  • Genome sequencing advances bacterial abundance determination but struggles with species-level detection.
  • Accurate species-level quantification is crucial for ecological inferences and understanding microbial community function.

Purpose of the Study:

  • To develop and validate a microfluidic quantitative PCR (qPCR) method for direct and accurate quantification of bacterial species composition.
  • To provide a high-throughput alternative to sequencing for determining absolute bacterial abundance.

Main Methods:

  • A nested PCR approach using universal 16S rRNA gene pre-amplification.
  • Microfluidic array enabling 2,304 parallel singleplex qPCR reactions for absolute quantification.
  • Optimized nucleic acid extraction and genomic DNA preparation protocols.

Main Results:

  • The microfluidic qPCR method accurately quantifies bacterial species composition from as little as 2 ng of community DNA.
  • The system minimizes pipetting errors and technical variations through automatic sample and reactant distribution.
  • Demonstrated utility in a synthetic soil bacterial community across different growth environments.

Conclusions:

  • The proposed microfluidic qPCR method provides specific, sensitive, and rapid quantification of bacterial species.
  • It serves as a simple, accurate alternative to sequencing methods when absolute species abundance values are required.
  • Enables a mechanistic understanding of individual species' roles in bacterial community functioning.