Human and Extracellular DNA Depletion for Metagenomic Analysis of Complex Clinical Infection Samples Yields Optimized Viable Microbiome Profiles
Maria T. Nelson,
Christopher E. Pope,
Robyn L. Marsh,
Daniel J. Wolter,
Eli J. Weiss,
Kyle R. Hager,
Anh T. Vo,
Mitchell J. Brittnacher,
Matthew C. Radey,
Hillary S. Hayden,
Alexander Eng,
Samuel I. Miller,
Elhanan Borenstein,
Lucas R. Hoffman
Affiliations
Maria T. Nelson
Department of Microbiology, University of Washington School of Medicine, Seattle, WA 98105, USA; Department of Pediatrics, University of Washington School of Medicine, Seattle, WA 98105, USA; Medical Scientist Training Program, University of Washington School of Medicine, Seattle, WA 98105, USA
Christopher E. Pope
Department of Pediatrics, University of Washington School of Medicine, Seattle, WA 98105, USA
Robyn L. Marsh
Child Health Division, Menzies School of Health Research, Charles Darwin University, Casuarina, NT 0811, Australia
Daniel J. Wolter
Department of Pediatrics, University of Washington School of Medicine, Seattle, WA 98105, USA; Pulmonary and Sleep Medicine, Seattle Children’s Hospital, Seattle, WA 98105, USA
Eli J. Weiss
Department of Microbiology, University of Washington School of Medicine, Seattle, WA 98105, USA
Kyle R. Hager
Department of Microbiology, University of Washington School of Medicine, Seattle, WA 98105, USA
Anh T. Vo
Department of Microbiology, University of Washington School of Medicine, Seattle, WA 98105, USA
Mitchell J. Brittnacher
Department of Microbiology, University of Washington School of Medicine, Seattle, WA 98105, USA
Matthew C. Radey
Department of Microbiology, University of Washington School of Medicine, Seattle, WA 98105, USA
Hillary S. Hayden
Department of Microbiology, University of Washington School of Medicine, Seattle, WA 98105, USA
Alexander Eng
Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98105, USA
Samuel I. Miller
Department of Microbiology, University of Washington School of Medicine, Seattle, WA 98105, USA; Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98105, USA; Department of Medicine, University of Washington School of Medicine, Seattle, WA 98105, USA
Elhanan Borenstein
Department of Genome Sciences, University of Washington School of Medicine, Seattle, WA 98105, USA; Department of Computer Science and Engineering, University of Washington School of Medicine, Seattle, WA 98105, USA; Blavatnik School of Computer Science, Tel Aviv University, Tel Aviv 6997801, Israel; Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel; Santa Fe Institute, Santa Fe, NM 87501, USA
Lucas R. Hoffman
Department of Microbiology, University of Washington School of Medicine, Seattle, WA 98105, USA; Department of Pediatrics, University of Washington School of Medicine, Seattle, WA 98105, USA; Pulmonary and Sleep Medicine, Seattle Children’s Hospital, Seattle, WA 98105, USA; Corresponding author
Summary: Metagenomic sequencing is a promising approach for identifying and characterizing organisms and their functional characteristics in complex, polymicrobial infections, such as airway infections in people with cystic fibrosis. These analyses are often hampered, however, by overwhelming quantities of human DNA, yielding only a small proportion of microbial reads for analysis. In addition, many abundant microbes in respiratory samples can produce large quantities of extracellular bacterial DNA originating either from biofilms or dead cells. We describe a method for simultaneously depleting DNA from intact human cells and extracellular DNA (human and bacterial) in sputum, using selective lysis of eukaryotic cells and endonuclease digestion. We show that this method increases microbial sequencing depth and, consequently, both the number of taxa detected and coverage of individual genes such as those involved in antibiotic resistance. This finding underscores the substantial impact of DNA from sources other than live bacteria in microbiological analyses of complex, chronic infection specimens. : Nelson et al. describe a method for reducing both human cellular DNA and extracellular DNA (human and bacterial) in a complex respiratory sample using hypotonic lysis and endonuclease digestion. This method increases effective microbial sequencing depth and minimizes bias introduced into subsequent phylogenetic analysis by bacterial extracellular DNA. Keywords: cystic fibrosis, microbiome, metagenome, microbiota, human DNA, extracellular DNA, clinical samples, infection samples, polymicrobial infections, sputum