Impacts of Inter- and Intralaboratory Variations on the Reproducibility of Microbial Community Analyses

Y. Pan, L. Bodrossy, P. Frenzel, A.-G. Hestnes, S. Krause, C. Lüke, M. Franke, H. Siljanen, M.M. Svenning, P.L.E. Bodelier

Research output: Contribution to journal/periodicalArticleScientificpeer-review

34 Citations (Scopus)

Abstract

With the advent of molecular biological techniques, especially next-generation sequencing and metagenomics, the number of microbial biogeography studies is rapidly increasing. However, these studies involve the synthesis of data generated by different laboratories using different protocols, chemicals, etc., all with inherent biases. The aim of this study was to assess inter- as well as intralaboratory variations in microbial community composition when standardized protocols are applied to a single soil sample. Aliquots from a homogenized soil sample from a rice field in Italy were sent to five participating laboratories. DNA was extracted by two investigators per laboratory using an identical protocol. All DNA samples were sent to one laboratory to perform DNA quantification, quantitative PCR (QPCR), and microarray and denaturing gradient gel electrophoresis (DGGE) analyses of methanotrophic communities. Yields, as well as purity of DNA, were significantly different between laboratories but in some cases also between investigators within the same laboratory. The differences in yield and quality of the extracted DNA were reflected in QPCR, microarray, and DGGE analysis results. Diversity indices (Shannon-Wiener, evenness, and richness) differed significantly between laboratories. The observed differences have implications for every project in which microbial communities are compared in different habitats, even if assessed within the same laboratory. To be able to make sensible comparisons leading to valid conclusions, intralaboratory variation should be assessed. Standardization of DNA extraction protocols and possible use of internal standards in interlaboratory comparisons may help in rendering a "quantifiable" bias.
Original languageEnglish
Pages (from-to)7451-7458
Number of pages8
JournalApplied and Environmental Microbiology
Volume76
Issue number22
DOIs
Publication statusPublished - 2010

Fingerprint

Dive into the research topics of 'Impacts of Inter- and Intralaboratory Variations on the Reproducibility of Microbial Community Analyses'. Together they form a unique fingerprint.

Cite this