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Expanding the range of the respiratory infectome in Australian feedlot cattle with and without respiratory disease using metatranscriptomics

Authors :
Barbara P. Brito
Melinda J. Frost
Kay Anantanawat
Frederick Jaya
Tony Batterham
Steven P. Djordjevic
Wei-Shan Chang
Edward C. Holmes
Aaron E. Darling
Peter D. Kirkland
Source :
Microbiome, Vol 11, Iss 1, Pp 1-17 (2023)
Publication Year :
2023
Publisher :
BMC, 2023.

Abstract

Abstract Background Bovine respiratory disease (BRD) is one of the most common diseases in intensively managed cattle, often resulting in high morbidity and mortality. Although several pathogens have been isolated and extensively studied, the complete infectome of the respiratory complex consists of a more extensive range unrecognised species. Here, we used total RNA sequencing (i.e., metatranscriptomics) of nasal and nasopharyngeal swabs collected from animals with and without BRD from two cattle feedlots in Australia. Results A high abundance of bovine nidovirus, influenza D, bovine rhinitis A and bovine coronavirus was found in the samples. Additionally, we obtained the complete or near-complete genome of bovine rhinitis B, enterovirus E1, bovine viral diarrhea virus (sub-genotypes 1a and 1c) and bovine respiratory syncytial virus, and partial sequences of other viruses. A new species of paramyxovirus was also identified. Overall, the most abundant RNA virus, was the bovine nidovirus. Characterisation of bacterial species from the transcriptome revealed a high abundance and diversity of Mollicutes in BRD cases and unaffected control animals. Of the non-Mollicutes species, Histophilus somni was detected, whereas there was a low abundance of Mannheimia haemolytica. Conclusion This study highlights the use of untargeted sequencing approaches to study the unrecognised range of microorganisms present in healthy or diseased animals and the need to study previously uncultured viral species that may have an important role in cattle respiratory disease. Video Abstract

Details

Language :
English
ISSN :
20492618
Volume :
11
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Microbiome
Publication Type :
Academic Journal
Accession number :
edsdoj.4e595b710bd54822b1e56bab12ea0165
Document Type :
article
Full Text :
https://doi.org/10.1186/s40168-023-01591-1