PLoS ONE (Jan 2014)

The impact of different DNA extraction kits and laboratories upon the assessment of human gut microbiota composition by 16S rRNA gene sequencing.

  • Nicholas A Kennedy,
  • Alan W Walker,
  • Susan H Berry,
  • Sylvia H Duncan,
  • Freda M Farquarson,
  • Petra Louis,
  • John M Thomson,
  • UK IBD Genetics Consortium,
  • Jack Satsangi,
  • Harry J Flint,
  • Julian Parkhill,
  • Charlie W Lees,
  • Georgina L Hold

DOI
https://doi.org/10.1371/journal.pone.0088982
Journal volume & issue
Vol. 9, no. 2
p. e88982

Abstract

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IntroductionDetermining bacterial community structure in fecal samples through DNA sequencing is an important facet of intestinal health research. The impact of different commercially available DNA extraction kits upon bacterial community structures has received relatively little attention. The aim of this study was to analyze bacterial communities in volunteer and inflammatory bowel disease (IBD) patient fecal samples extracted using widely used DNA extraction kits in established gastrointestinal research laboratories.MethodsFecal samples from two healthy volunteers (H3 and H4) and two relapsing IBD patients (I1 and I2) were investigated. DNA extraction was undertaken using MoBio Powersoil and MP Biomedicals FastDNA SPIN Kit for Soil DNA extraction kits. PCR amplification for pyrosequencing of bacterial 16S rRNA genes was performed in both laboratories on all samples. Hierarchical clustering of sequencing data was done using the Yue and Clayton similarity coefficient.ResultsDNA extracted using the FastDNA kit and the MoBio kit gave median DNA concentrations of 475 (interquartile range 228-561) and 22 (IQR 9-36) ng/µL respectively (pConclusionThis study demonstrates significant differences in DNA yield and bacterial DNA composition when comparing DNA extracted from the same fecal sample with different extraction kits. This highlights the importance of ensuring that samples in a study are prepared with the same method, and the need for caution when cross-comparing studies that use different methods.