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Abstract
Stool samples for fecal immunochemical tests (FIT) are collected in large numbers worldwide as part of colorectal cancer screening programs. Employing FIT samples from 1034 CRCbiome participants, recruited from a Norwegian colorectal cancer screening study, we identify, annotate and characterize more than 18000 DNA viruses, using shotgun metagenome sequencing. Only six percent of them are assigned to a known taxonomic family, with Microviridae being the most prevalent viral family. Linking individual profiles to comprehensive lifestyle and demographic data shows 17/25 of the variables to be associated with the gut virome. Physical activity, smoking, and dietary fiber consumption exhibit strong and consistent associations with both diversity and relative abundance of individual viruses, as well as with enrichment for auxiliary metabolic genes. We demonstrate the suitability of FIT samples for virome analysis, opening an opportunity for large-scale studies of this enigmatic part of the gut microbiome. The diverse viral populations and their connections to the individual lifestyle uncovered herein paves the way for further exploration of the role of the gut virome in health and disease.
Here, the authors use fecal immunochemical test (FIT) samples from around 1000 individuals to characterize their gut virome, showing a diverse viral community, indicative of the individual lifestyle (smoking, fiber consumption and physical activity), thus highlighting FIT samples as a useful alternative for virome analyses.
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1 University of Oslo, Centre for Bioinformatics, Department of Informatics, Oslo, Norway (GRID:grid.5510.1) (ISNI:0000 0004 1936 8921)
2 Oslo University Hospital, Department of Tumor Biology, Institute of Cancer Research, Oslo, Norway (GRID:grid.55325.34) (ISNI:0000 0004 0389 8485); University of Oslo, Centre for Bioinformatics, Department of Pharmacy, Oslo, Norway (GRID:grid.5510.1) (ISNI:0000 0004 1936 8921)
3 Norwegian Institute of Public Health, Section for Colorectal Cancer Screening, Cancer Registry of Norway, Oslo, Norway (GRID:grid.418193.6) (ISNI:0000 0001 1541 4204)
4 Akershus University Hospital, Pathology Department, Lørenskog, Norway (GRID:grid.411279.8) (ISNI:0000 0000 9637 455X)
5 Candiolo Cancer Institute, FPO-IRCCS, Turin, Italy (GRID:grid.419555.9) (ISNI:0000 0004 1759 7675); Italian Institute for Genomic Medicine (IIGM), c/o IRCCS Candiolo, Turin, Italy (GRID:grid.428948.b) (ISNI:0000 0004 1784 6598)
6 University of Helsinki, Human Microbiome Research Program, Faculty of Medicine, Helsinki, Finland (GRID:grid.7737.4) (ISNI:0000 0004 0410 2071); Wageningen University, Laboratory of Microbiology, Wageningen, The Netherlands (GRID:grid.4818.5) (ISNI:0000 0001 0791 5666)
7 University of Oslo, Centre for Bioinformatics, Department of Informatics, Oslo, Norway (GRID:grid.5510.1) (ISNI:0000 0004 1936 8921); Oslo University Hospital, Department of Microbiology, Oslo, Norway (GRID:grid.55325.34) (ISNI:0000 0004 0389 8485)
8 Oslo University Hospital, Department of Tumor Biology, Institute of Cancer Research, Oslo, Norway (GRID:grid.55325.34) (ISNI:0000 0004 0389 8485); University of Oslo, Centre for Bioinformatics, Department of Pharmacy, Oslo, Norway (GRID:grid.5510.1) (ISNI:0000 0004 1936 8921); Norwegian Institute of Public Health, Department of Research, Cancer Registry of Norway, Oslo, Norway (GRID:grid.418193.6) (ISNI:0000 0001 1541 4204)