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Abstract
Modern day large-scale, high-density farming environments are inherently susceptible to viral outbreaks, inadvertently creating conditions that favor increased pathogen transmission and potential zoonotic spread. Metagenomic sequencing has proven to be a useful tool for characterizing the microbial burden in both people, livestock, and environmental samples. International efforts have been successful at characterizing pathogens in commercial farming environments, especially swine farms, however it is unclear whether the full extent of microbial agents have been adequately captured or is representative of farms elsewhere. To augment international efforts we performed metagenomic next-generation sequencing on nine swine slurry and three environmental samples from a United States of America (U.S.A.) farm operation, characterized the microbial composition of slurry, and identified novel viruses. We assembled a remarkable total of 1792 viral genomes, of which 554 were novel/divergent. We assembled 1637 Picobirnavirus genome segments, of which 538 are novel. In addition, we discovered 10 new viruses belonging to a novel taxon: porcine Statoviruses; which have only been previously reported in human, macaques, mouse, and cows. We assembled 3 divergent Posaviruses and 3 swine Picornaviruses. In addition to viruses described, we found other eukaryotic genera such as Entamoeba and Blastocystis, and bacterial genera such as Listeria, Treponema, Peptoclostridium and Bordetella in the slurry. Of these, two species Entamoeba histolytica and Listeria monocytogenes known to cause human disease were detected. Further, antimicrobial resistance genes such as tetracycline and MLS (macrolide, lincosamide, streptogramin) were also identified. Metagenomic surveillance in swine fecal slurry has great potential for novel and antimicrobial resistant pathogen detection.
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1 University of California, Weill Institute for Neurosciences, San Francisco, USA (GRID:grid.266102.1) (ISNI:0000 0001 2297 6811); University of California, Department of Neurology, San Francisco, USA (GRID:grid.266102.1) (ISNI:0000 0001 2297 6811); Texas Tech University Health Sciences Center, Julia Jones Matthews Department of Public Health, Abilene, USA (GRID:grid.416992.1) (ISNI:0000 0001 2179 3554)
2 Duke University School of Medicine, Division of Infectious Diseases, Durham, USA (GRID:grid.26009.3d) (ISNI:0000 0004 1936 7961); Texas Tech University Health Sciences Center, Julia Jones Matthews Department of Public Health, Abilene, USA (GRID:grid.416992.1) (ISNI:0000 0001 2179 3554)
3 Chan Zuckerberg Biohub, San Francisco, USA (GRID:grid.499295.a)
4 Chan Zuckerberg Biohub, San Francisco, USA (GRID:grid.499295.a); University of California San Francisco, Division of Infectious Diseases, San Francisco, USA (GRID:grid.266102.1) (ISNI:0000 0001 2297 6811)
5 Chan Zuckerberg Biohub, San Francisco, USA (GRID:grid.499295.a); University of California, Department of Biochemistry and Biophysics, San Francisco, USA (GRID:grid.266102.1) (ISNI:0000 0001 2297 6811)
6 East Carolina University, Department of Bioethics and Interdisciplinary Studies, Brody School of Medicine, North Carolina Agromedicine Institute, Greenville, USA (GRID:grid.255364.3) (ISNI:0000 0001 2191 0423)
7 Duke University School of Medicine, Division of Infectious Diseases, Durham, USA (GRID:grid.26009.3d) (ISNI:0000 0004 1936 7961); Duke University, Duke Global Health Institute, Durham, USA (GRID:grid.26009.3d) (ISNI:0000 0004 1936 7961); Duke-NUS Medical School, Emerging Infectious Disease Program, Singapore, Singapore (GRID:grid.428397.3) (ISNI:0000 0004 0385 0924); Duke Kunshan University, Global Health Center, Kunshan, China (GRID:grid.448631.c) (ISNI:0000 0004 5903 2808)




