Managing Contamination and Diverse Bacterial Loads in 16S rRNA Deep Sequencing of Clinical Samples: Implications of the Law of Small Numbers

Ruben Dyrhovden; Martin Rippin; Kjell Kåre Øvrebø; Randi M. Nygaard; Elling Ulvestad; Øyvind Kommedal

doi:10.1128/mBio.00598-21

mBio (Jun 2021)

Managing Contamination and Diverse Bacterial Loads in 16S rRNA Deep Sequencing of Clinical Samples: Implications of the Law of Small Numbers

Ruben Dyrhovden,
Martin Rippin,
Kjell Kåre Øvrebø,
Randi M. Nygaard,
Elling Ulvestad,
Øyvind Kommedal

Affiliations

Ruben Dyrhovden: ORCiD; Department of Microbiology, Haukeland University Hospital, Bergen, Norway
Martin Rippin: ORCiD; Section for Bioinformatics, Haukeland University Hospital, Bergen, Norway
Kjell Kåre Øvrebø: Department of Surgery, Haukeland University Hospital, Bergen, Norway
Randi M. Nygaard: Department of Microbiology, Haukeland University Hospital, Bergen, Norway
Elling Ulvestad: Department of Microbiology, Haukeland University Hospital, Bergen, Norway
Øyvind Kommedal: Department of Microbiology, Haukeland University Hospital, Bergen, Norway

DOI: https://doi.org/10.1128/mBio.00598-21
Journal volume & issue: Vol. 12, no. 3

Abstract

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There has been a gradual increase in 16S deep sequencing studies on infectious disease materials. Management of bacterial DNA contamination is a major challenge in such diagnostics, particularly in low biomass samples.

Published in mBio

ISSN: 2161-2129 (Print); 2150-7511 (Online)
Publisher: American Society for Microbiology
Country of publisher: United States
LCC subjects: Science: Microbiology
Website: https://journals.asm.org/journal/mbio

About the journal