Comparison of three commercial DNA extraction kits and assemblers for AMR determinant detection in Pseudomonas

Anurag Kumar Bari1, Basil Britto Xavier1, Tim Severs2

  • 1Department of Medical Microbiology and Infection Prevention, Antimicrobial Resistance, Genomics and Epidemiology (AGE) Research Group, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.

PubMed
Abstract

Insights

Choosing the right DNA extraction kit and genome assembler is crucial for accurately detecting antimicrobial resistance (AMR) determinants in pathogens like Pseudomonas aeruginosa and Enterobacter cloacae using long-read sequencing.

Area of Science:

  • Microbiology
  • Genomics
  • Bioinformatics

Background:

  • Multidrug-resistant pathogens Pseudomonas aeruginosa and Enterobacter cloacae present significant clinical challenges.
  • High GC-content in P. aeruginosa complicates DNA extraction and sequencing, impacting genome assembly.
  • Effective DNA extraction is vital for accurate genomic analysis of these ESKAPE pathogens.

Purpose of the Study:

  • To compare the performance of three commercial DNA extraction kits for long-read sequencing of P. aeruginosa and E. cloacae.
  • To evaluate the impact of DNA extraction methods and genome assembly tools on antimicrobial resistance (AMR) determinant detection.
  • To provide practical guidance for optimizing long-read sequencing workflows for AMR surveillance.

Main Methods:

  • Compared three commercial kits (MagAttract, DNeasy, MagMAX) for DNA extraction from clinical isolates.
  • Assessed DNA quantity, quality, and integrity using spectrophotometry, fluorometry, and capillary electrophoresis.
  • Sequenced DNA using Oxford Nanopore Technologies and assembled genomes with Unicycler and Flye.

Main Results:

  • DNeasy kit yielded higher DNA quantity and sequencing output compared to MagAttract.
  • MagAttract kit provided higher DNA integrity and more contiguous genome assemblies.
  • The Flye assembler significantly improved AMR determinant detection compared to Unicycler, with the DNeasy + Flye combination achieving the highest detection rate.

Conclusions:

  • DNA extraction method and assembler choice significantly impact AMR determinant detection.
  • Optimizing DNA extraction and assembly is critical for accurate AMR surveillance using long-read sequencing.
  • Findings offer practical insights for enhancing genomic epidemiology studies of resistant bacteria.