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


Journal

Microbiology spectrum
ISSN: 2165-0497
Titre abrégé: Microbiol Spectr
Pays: United States
ID NLM: 101634614

Informations de publication

Date de publication:
27 04 2022
Historique:
pubmed: 16 3 2022
medline: 30 4 2022
entrez: 15 3 2022
Statut: ppublish

Résumé

Metagenomics is increasingly used to describe microbial communities in biological specimens. Ideally, the steps involved in the processing of the biological specimens should not change the microbiome composition in a way that it could lead to false interpretations of inferred microbial community composition. Common steps in sample preparation include sample collection, storage, DNA isolation, library preparation, and DNA sequencing. Here, we assess the effect of three library preparation kits and two DNA sequencing platforms. Of the library preparation kits, one involved a PCR step (Nextera), and two were PCR free (NEXTflex and KAPA). We sequenced the libraries on Illumina HiSeq and NextSeq platforms. As example microbiomes, two pig fecal samples and two sewage samples of which aliquots were stored at different storage conditions (immediate processing and storage at -80°C) were assessed. All DNA isolations were performed in duplicate, totaling 80 samples, excluding controls. We found that both library preparation and sequencing platform had systematic effects on the inferred microbial community composition. The different sequencing platforms introduced more variation than library preparation and freezing the samples. The results highlight that all sample processing steps need to be considered when comparing studies. Standardization of sample processing is key to generating comparable data within a study, and comparisons of differently generated data, such as in a meta-analysis, should be performed cautiously.

Identifiants

pubmed: 35289669
doi: 10.1128/spectrum.00090-22
pmc: PMC9045301
doi:

Substances chimiques

DNA 9007-49-2

Types de publication

Journal Article Meta-Analysis Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0009022

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Auteurs

Casper S Poulsen (CS)

Research Group for Genomic Epidemiology, National Food Institute, Technical University of Denmarkgrid.5170.3, Kongens Lyngby, Denmark.

Claus T Ekstrøm (CT)

Section of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.

Frank M Aarestrup (FM)

Research Group for Genomic Epidemiology, National Food Institute, Technical University of Denmarkgrid.5170.3, Kongens Lyngby, Denmark.

Sünje J Pamp (SJ)

Research Group for Genomic Epidemiology, National Food Institute, Technical University of Denmarkgrid.5170.3, Kongens Lyngby, Denmark.
Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmarkgrid.5170.3, Kongens Lyngby, Denmark.

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Classifications MeSH