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Nanopore DNA Sequencing for Metagenomic Soil Analysis
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Nanopore adaptive sampling effectively enriches bacterial plasmids.

Jens-Uwe Ulrich1,2,3, Lennard Epping4, Tanja Pilz4

  • 1Hasso Plattner Institute, Digital Engineering Faculty, University of Potsdam, Potsdam, Germany.

Msystems
|February 20, 2024
PubMed
Summary
This summary is machine-generated.

Nanopore adaptive sampling enriches low-abundance bacterial plasmids for DNA sequencing, improving assembly quality and reducing time. This cost-efficient method shows promise for antimicrobial resistance research, despite challenges with similar target and non-target sequences.

Keywords:
adaptive samplingbacteriaenrichmentnanopore sequencingplasmidreaduntil

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Area of Science:

  • Genomics
  • Microbiology
  • Bioinformatics

Background:

  • Bacterial plasmids are crucial for spreading antibiotic resistance genes.
  • Plasmid DNA is often low-abundance in samples, complicating DNA sequencing.
  • Current enrichment methods are costly, laborious, and can introduce bias.

Purpose of the Study:

  • To evaluate nanopore adaptive sampling for enriching low-abundant plasmids.
  • To assess its impact on plasmid assembly quality and sequencing time.
  • To identify limitations of adaptive sampling in plasmid research.

Main Methods:

  • Utilized two adaptive sampling tools for nanopore sequencing.
  • Applied the method to known bacterial isolates with low-abundant plasmids.
  • Analyzed enrichment efficiency, assembly quality, and sequencing duration.

Main Results:

  • Achieved significant plasmid DNA enrichment, even with expired sequencing flow cells.
  • Improved the quality of *de novo* plasmid assemblies.
  • Reduced overall sequencing time for plasmid characterization.
  • Identified challenges when target and non-target sequences share similarities.

Conclusions:

  • Nanopore adaptive sampling is a potentially cost-efficient tool for enriching low-abundant plasmids.
  • It enhances plasmid assembly and accelerates sequencing.
  • Careful consideration of reference sequences is needed to mitigate issues with similar genomic regions.