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Library Preparation and Sequencing Platform Introduce Bias in Metagenomic-Based Characterizations of Microbiomes

Casper Sahl Poulsen, Claus Thorn Ekstrøm, Frank M. Aarestrup, Sünje Johanna Pamp

2022Microbiology Spectrum43 citationsDOIOpen Access PDF

Abstract

Previous research has reported effects of sample storage conditions and DNA isolation procedures on metagenomics-based microbiome composition; however, the effect of library preparation and DNA sequencing in metagenomics has not been thoroughly assessed. Here, we provide evidence that library preparation and sequencing platform introduce systematic biases in the metagenomic-based characterization of microbial communities. These findings suggest that library preparation and sequencing are important parameters to keep consistent when aiming to detect small changes in microbiome community structure. Overall, we recommend that all samples in a microbiome study are processed in the same way to limit unwanted variations that could lead to false conclusions. Furthermore, if we are to obtain a more holistic insight from microbiome data generated around the world, we will need to provide more detailed sample metadata, including information about the different sample processing procedures, together with the DNA sequencing data at the public repositories.

Topics & Concepts

MetagenomicsMicrobiomeComputational biologyBiologyEvolutionary biologyComputer scienceData scienceGeneticsGeneGut microbiota and healthMetabolomics and Mass Spectrometry StudiesProbiotics and Fermented Foods