Metagenomic Detection of Viruses of the Respiratory Tract in Arriving Feedlot Calves to Inform Vaccine Gaps and Risk Assessment for Bovine Respiratory Disease

Bovine respiratory disease (BRD) is a leading cause of morbidity and economic loss in feedlot cattle, driven by complex interactions among viral and bacterial pathogens, host immunity, and environmental stressors. Traditional diagnostic methods often target a limited range of pathogens, restricting the scope of surveillance and early intervention. The objective of this thesis was to use nanopore metagenomic sequencing and Bayesian modeling to enhance pathogen detection, evaluate diagnostic performance, and assess scalable sampling strategies under field conditions in the early feeding period in feedlot cattle. This work considers the potential of a “one-test-for-all” approach—where a single, scalable assay can simultaneously detect viruses, bacteria, and antimicrobial resistance genes (ARGs)—to support BRD diagnostics and surveillance. Nanopore metagenomic sequencing, in Chapter 2, was applied to short nasal swabs (SNS) from fall-placed calves (FPC) and yearlings (YRL) at arrival and 14 days on feed (DOF) across western Canadian feedlots. Twenty-one distinct viruses were identified with the most prevalent being bovine coronavirus (BCoV). BRD-associated viruses, such as bovine respiratory syncytial virus (BRSV) and bovine parainfluenza virus 3 (BPIV-3), were more likely to be detected at 14 DOF in both FPC and YRL, as was influenza D virus (IDV) in FPC. BRSV and BPIV-3 were more likely to be detected in arrival samples from YRL than FPC (P = 0.01). In 14 DOF samples, BPIV-3 (P = 0.02) and BVDV-2 (P = 0.01) were identified more frequently in YRL than FPC. Respiratory bacteria and ARGs were also characterized in the data resulting from the viral sequencing protocol. When comparing samples from FPC collected at 14 DOF and arrival, M. haemolytica increased (P = 0.02), while P. multocida decreased (P = 0.03). In YRL, no significant temporal changes were identified for M. haemolytica, P. multocida or H. somni. Thirty-three different ARGs were identified in these samples, with detection more frequent at 14 DOF than arrival in both FPC (P = 0.03) and YRL (P = 0.01), with identified ARGs most associated with resistance to lincosamides, aminoglycosides, and tetracyclines. The diagnostic performance of qPCR and metagenomic sequencing was assessed using Bayesian latent class modeling (BLCM) in Chapter 3 using the sequencing data described for the 760 SNS. While qPCR demonstrated higher sensitivity for BCoV and bovine herpesvirus 1 (BoHV-1), sequencing had slightly higher sensitivity than qPCR for BRSV and showed comparable results for BPIV-3 and IDV. Specificity was generally similar across methods, with sequencing outperforming qPCR for BCoV. The specificity and sensitivity for detection of BRD-associated bacteria from the same metagenomic data were also similar to those estimated for culture and qPCR results for the same samples. These findings support metagenomic sequencing as a viable laboratory tool capable of detecting multiple BRD pathogens in a single test. Chapter 4 investigated whether early viral detection could predict subsequent risk of BRD in beef calves arriving at a research feedlot. Deep nasopharyngeal swabs (DNPS) were sequenced from steer calves at arrival (n=729), at 13 DOF (n=389), and from sick calves (n=93) at initial BRD treatment. Although multiple viruses were detected in a pattern similar to that described in the earlier chapters, neither viral detection at arrival nor 13 DOF were associated with increased risk of BRD treatment. However, BCoV was more prevalent in sick calves than in pen and DOF matched controls (OR = 20.3, 95% CI 8.4 – 48.9; P< 0.001). Pathogen detection was compared for paired SNS and DNPS collected from 150 calves at 13 DOF in Chapter 5. Read counts and the frequency of detection were higher for SNS than DNPS for key viruses (BCoV, IDV) and bacteria (M. haemolytica, P. multocida), while Mesomycoplasma dispar was more prevalent in DNPS. Detection of Histophilus somni, Bibersteinia trehalosi, and Mycoplasmopsis bovis did not significantly differ between swab types. Despite variable agreement between swab types, SNS proved to be a sensitive, scalable, and practical alternative to DNPS for field-based surveillance. Collectively, this thesis advances understanding of BRD pathogen dynamics, diagnostic test performance, and sampling strategies in feedlot cattle. The findings support the integration of metagenomic sequencing into routine surveillance using easily collected SNS. This study also demonstrates the potential for a single sequencing protocol to provide comprehensive detection of both respiratory viruses and bacteria at scale on samples collected under field conditions.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.