High prevalence of SARS-CoV-2 antibodies and low prevalence of SARS-CoV-2 RNA in cats recently exposed to human cases.

BACKGROUND: The primary objective of this cross-sectional study, conducted in Québec and Bristish Columbia (Canada) between February 2021 and January 2022, was to measure the prevalence of viral RNA in oronasal and rectal swabs and serum antibodies to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) amongst cats living in households with at least one confirmed human case. Secondary objectives included a description of potential risk factors for the presence of SARS-CoV-2 antibodies and an estimation of the association between the presence of viral RNA in swabs as well as SARS-CoV-2 antibodies and clinical signs. Oronasal and rectal swabs and sera were collected from 55 cats from 40 households at most 15 days after a human case confirmation, and at up to two follow-up visits. A RT-qPCR assay and an ELISA were used to detect SARS-CoV-2 RNA in swabs and serum SARS-CoV-2 IgG antibodies, respectively. Prevalence and 95% Bayesian credibility intervals (BCI) were calculated, and associations were evaluated using prevalence ratio and 95% BCI obtained from Bayesian mixed log-binomial models. RESULTS: Nine (0.16; 95% BCI = 0.08-0.28) and 38 (0.69; 95% BCI = 0.56-0.80) cats had at least one positive RT-qPCR and at least one positive serological test result, respectively. No risk factor was associated with the prevalence of SARS-CoV-2 serum antibodies. The prevalence of clinical signs suggestive of COVID-19 in cats, mainly sneezing, was 2.12 (95% BCI = 1.03-3.98) times higher amongst cats with detectable viral RNA compared to those without. CONCLUSIONS: We showed that cats develop antibodies to SARS-CoV-2 when exposed to recent human cases, but detection of viral RNA on swabs is rare, even when sampling occurs soon after confirmation of a human case. Moreover, cats with detectable levels of virus showed clinical signs more often than cats without signs, which can be useful for the management of such cases.

The swine enteric virome in a commercial production system and its association with neonatal diarrhea.

Swine are an important food source worldwide and producers may not always be aware of the variety of the pathogens infecting their herds, particularly viruses. In this study, 12 enteric viruses were monitored in a total of 181 diarrheic and healthy piglets; namely porcine astrovirus groups 1-5 (poAstV1-5), rotavirus A and C (RVA-RVC), caliciviruses (CaVs), porcine kobuvirus (PoK), hepatitis E virus (HEV), and torque teno sus virus 1 and k2 (TTsuV1-k2). All animals were sampled before 3 weeks of age, and then at 5, 12 and 20 weeks of age. In addition to the 12 targeted viruses, the virome of 12 piglets at 4 different life stages was characterized using a high-throughput sequencing approach. The presence of CaV (sapovirus), poAstV-3 or poAstV-5 was found to be a risk factor for neonatal diarrhea. Co-infections with RVC and poAstV-2, poAstV-3, and poAstV-4 and CaV co-infected with PoK or poAstV-4 were also found to be risk factors for diarrhea in piglets. RVC, PoK, poAstV-3 and poAstV-4 were the most prevalent viruses in piglets below 3 weeks of age. PoAstV-2, poAstV-4, TTsuV1 and TTsuVk2 were found to be the most prevalent viruses infecting piglets of 20 weeks of age. The enteric virome composition varied between healthy and diarrheic piglets. The alpha and beta diversity of the enteric viromes varied from under 3 weeks of age to 20 weeks and was mainly supported by phages. Overall, this study sheds new light on enteric virome dynamics and the virome's relationship with neonatal diarrhea.

Treatments of porcine fecal samples affect high-throughput virome sequencing results.

The porcine enteric microbiota is currently extensively studied, taking advantage of developments in high-throughput sequencing technologies. However, the viral part of the microbiota, the virome, is being lightly explored, and the impact of the pretreatments used before sequencing the viruses is barely considered. In this study, the impacts of filtration, RNase and DNase treatments on virus reads recovery and diversity after sequencing on a MiSeq platform were assessed on fecal samples individually taken at <3, 5, 12 and 20 weeks from two piglets. None of the four pretreatment series affected the virus read averages or influenced diversity, but the samples with the higher proportion of reads corresponding to an entry in the "nt" database were those receiving the least number of pretreatments. The enzymatic pretreatments affected the detection of the single-stranded RNA viruses of Aichivirus C, porcine astrovirus, Sapovirus and posavirus, which is worrisome, as these viruses can be involved in swine diarrhea. If enzymatic pretreatments are used when sequencing using a high-throughput method, it may impact single-stranded RNA virus recovery, but not the overall virome diversity. Therefore, filtrated samples may be the better option, reducing the amount of bacterial genetic material while preserving the virus reads.

Kobuvirus shedding dynamics in a swine production system and their association with diarrhea.

Porcine kobuviruses are widely distributed in swine, but the clinical significance of these viruses remains unclear, since they have been associated with both diarrheic and healthy pigs. In addition, there is a paucity of data on Kobuvirus prevalence in Canadian pig herds. In this study, a total of 181 diarrheic and healthy piglets were monitored and sampled on four occasions, intended to represent the different stages of production. The piglets were sampled at the nursing farms (birth to weaning stage), at the nursery farms (post-weaning stage), and at finishing farms (at the beginning and the end of the fattening stage). Fecal and environmental samples were collected during each life stage. Following viral extraction, Kobuvirus detection by RT-PCR was conducted, and positive samples were sequenced. During the late-nursing stage (6-21 days old), piglets with diarrhea shed more Kobuvirus than healthy individuals. Piglets shed more Kobuvirus during the post-weaning stage (nursery farms) than during any of the other life stages. This was evidenced in individual samples as well as in environmental samples. Over 97% of the sampled piglets shed Kobuvirus at least once in their lifetime. All piglets shedding a Kobuvirus strain or mix of strains at the nursing stage did not appear to shed another porcine kobuvirus strain at a later life stage. Overall, our findings throw light on Kobuvirus shedding dynamics and their potential role in neonatal diarrhea at the nursing stage, which appears to be the point of entry for kobuviruses into swine production systems.

Detection and Phylogenetic Analysis of the Hepatitis E Virus in a Canadian Swine Production Network.

Viral contamination along the production chain is a significant concern in both food safety and livestock health. Pigs have been reported to act as a reservoir for zoonotic viruses, sometimes emerging ones, and epidemiological studies have shown direct links between the consumption of uncooked pork offal and cases of hepatitis caused by the hepatitis E virus (HEV) genotype 3 in humans. The presence of HEV in swine herds has been reported, but its dissemination in pork production environments is still unknown. To investigate viral contamination sources in the swine industry, 452 environment and fecal samples, including samples from livestock transportation vehicles, were collected over a period of 11 months from ten farms and one slaughterhouse that together represent a single production network. Hepatitis E virus RNA was detected by nested RT-PCR in 32 samples from both inside and outside farm buildings, on trucks, and, mostly, from fomites collected in the slaughterhouse yard, such as on a utility vehicle. Phylogenetic analysis showed a wide diversity of HEV genotype 3 strains, similar to human and swine strains previously found. According to the results of this study, the movements of trucks and utility vehicles might play an important role in HEV dissemination on a slaughterhouse site and throughout an entire network.