BackgroundPorcine circovirus 2 causes different clinical syndromes resulting in a significant economic loss in the pork industry. Three pigs with unexplained cardiac and multi-organ inflammation that tested negative for PCV2 and other known porcine pathogens were further analyzed.MethodsHistology was used to identify microscopic lesions in multiple tissues. Metagenomics was used to detect viral sequences in tissue homogenates. In situ hybridization was used to detect viral RNA expression in cardiac tissue.ResultsIn all three cases we characterized the genome of a new circovirus we called PCV3 with a replicase and capsid proteins showing 55 and 35 % identities to the genetically-closest proteins from a bat-feces associated circovirus and were even more distant to those of porcine circovirus 1 and 2. Common microscopic lesions included non-suppurative myocarditis and/or cardiac arteriolitis. Viral mRNA was detected intralesionally in cardiac cells. Deep sequencing in tissues also revealed the presence of porcine astrovirus 4 in all three animals as well as rotavirus A, porcine cytomegalovirus and porcine hemagglutinating encephalomyelitis virus in individual cases.ConclusionThe pathogenicity and molecular epidemiology of this new circovirus, alone or in the context of co-infections, warrants further investigations.

Bovine respiratory disease (BRD) is a common health problem for both dairy and beef cattle, resulting in significant economic loses. In order to identify viruses associated with BRD, we used a metagenomics approach to enrich and sequence viral nucleic acids in the nasal swabs of 50 young dairy cattle with symptoms of BRD. Following deep sequencing, de novo assembly, and translated protein sequence similarity searches, numerous known and previously uncharacterized viruses were identified. Bovine adenovirus 3, bovine adeno-associated virus, bovine influenza D virus, bovine parvovirus 2, bovine herpesvirus 6, bovine rhinitis A virus, and multiple genotypes of bovine rhinitis B virus were identified. The genomes of a previously uncharacterized astrovirus and picobirnaviruses were also partially or fully sequenced. Using real-time PCR, the rates of detection of the eight viruses that generated the most reads were compared for the nasal secretions of 50 animals with BRD versus 50 location-matched healthy control animals. Viruses were detected in 68% of BRD-affected animals versus 16% of healthy control animals. Thirtyeight percent of sick animals versus 8% of controls were infected with multiple respiratory viruses. Significantly associated with BRD were bovine adenovirus 3 (P < 0.0001), bovine rhinitis A virus (P ‫؍‬ 0.005), and the recently described bovine influenza D virus (P ‫؍‬ 0.006), which were detected either alone or in combination in 62% of animals with BRD. A metagenomics and realtime PCR detection approach in carefully matched cases and controls can provide a rapid means to identify viruses associated with a complex disease, paving the way for further confirmatory tests and ultimately to effective intervention strategies. IMPORTANCEBovine respiratory disease is the most economically important disease affecting the cattle industry, whose complex root causes include environmental, genetics, and infectious factors. Using an unbiased metagenomics approach, we characterized the viruses in respiratory secretions from BRD cases and identified known and previously uncharacterized viruses belonging to seven viral families. Using a case-control format with location-matched animals, we compared the rates of viral detection and identified 3 viruses associated with severe BRD signs. Combining a metagenomics and case-control format can provide candidate pathogens associated with complex infectious diseases and inform further studies aimed at reducing their impact. Bovine respiratory disease (BRD) is the most common and costly problem in the cattle industry, accounting for 70 to 80% of morbidity and 40 to 50% of mortality in U.S. feedlots (1, 2). The cattle industry is one of the largest agricultural sectors of the United States economy, with approximately three-quarters of a million farms raising cattle. The annual costs of BRD have been estimated at over 1 billion dollars per year (3, 4).In BRD, bacterial infections are thought to be opportunistic infections precipitated by viral infections causing damage to t...

Next-generation sequencing (NGS) approaches rapidly produce millions to billions of short reads, which allow pathogen detection and discovery in human clinical, animal and environmental samples. A major limitation of sequence homology-based identification for highly divergent microorganisms is the short length of reads generated by most highly parallel sequencing technologies. Short reads require a high level of sequence similarities to annotated genes to confidently predict gene function or homology. Such recognition of highly divergent homologues can be improved by reference-free (de novo) assembly of short overlapping sequence reads into larger contigs. We describe an ensemble strategy that integrates the sequential use of various de Bruijn graph and overlap-layout-consensus assemblers with a novel partitioned sub-assembly approach. We also proposed new quality metrics that are suitable for evaluating metagenome de novo assembly. We demonstrate that this new ensemble strategy tested using in silico spike-in, clinical and environmental NGS datasets achieved significantly better contigs than current approaches.

Using viral metagenomics of brain tissue from a young adult crossbreed steer with acute onset of neurologic disease, we sequenced the complete genome of a novel astrovirus (BoAstV-NeuroS1) that was phylogenetically related to an ovine astrovirus. In a retrospective analysis of 32 cases of bovine encephalitides of unknown etiology, 3 other infected animals were detected by using PCR and in situ hybridization for viral RNA. Viral RNA was restricted to the nervous system and detected in the cytoplasm of affected neurons within the spinal cord, brainstem, and cerebellum. Microscopically, the lesions were of widespread neuronal necrosis, microgliosis, and perivascular cuffing preferentially distributed in gray matter and most severe in the cerebellum and brainstem, with increasing intensity caudally down the spinal cord. These results suggest that infection with BoAstV-NeuroS1 is a potential cause of neurologic disease in cattle.