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Expanding the range of the respiratory infectome in Australian feedlot cattle with and without respiratory disease using metatranscriptomics
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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10367309/ https://www.ncbi.nlm.nih.gov/pubmed/37491320 http://dx.doi.org/10.1186/s40168-023-01591-1 |
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author | Brito, Barbara P. Frost, Melinda J. Anantanawat, Kay Jaya, Frederick Batterham, Tony Djordjevic, Steven P. Chang, Wei-Shan Holmes, Edward C. Darling, Aaron E. Kirkland, Peter D. |
author_facet | Brito, Barbara P. Frost, Melinda J. Anantanawat, Kay Jaya, Frederick Batterham, Tony Djordjevic, Steven P. Chang, Wei-Shan Holmes, Edward C. Darling, Aaron E. Kirkland, Peter D. |
author_sort | Brito, Barbara P. |
collection | PubMed |
description | 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40168-023-01591-1. |
format | Online Article Text |
id | pubmed-10367309 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-103673092023-07-26 Expanding the range of the respiratory infectome in Australian feedlot cattle with and without respiratory disease using metatranscriptomics Brito, Barbara P. Frost, Melinda J. Anantanawat, Kay Jaya, Frederick Batterham, Tony Djordjevic, Steven P. Chang, Wei-Shan Holmes, Edward C. Darling, Aaron E. Kirkland, Peter D. Microbiome Research 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40168-023-01591-1. BioMed Central 2023-07-25 /pmc/articles/PMC10367309/ /pubmed/37491320 http://dx.doi.org/10.1186/s40168-023-01591-1 Text en © Crown 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Brito, Barbara P. Frost, Melinda J. Anantanawat, Kay Jaya, Frederick Batterham, Tony Djordjevic, Steven P. Chang, Wei-Shan Holmes, Edward C. Darling, Aaron E. Kirkland, Peter D. Expanding the range of the respiratory infectome in Australian feedlot cattle with and without respiratory disease using metatranscriptomics |
title | Expanding the range of the respiratory infectome in Australian feedlot cattle with and without respiratory disease using metatranscriptomics |
title_full | Expanding the range of the respiratory infectome in Australian feedlot cattle with and without respiratory disease using metatranscriptomics |
title_fullStr | Expanding the range of the respiratory infectome in Australian feedlot cattle with and without respiratory disease using metatranscriptomics |
title_full_unstemmed | Expanding the range of the respiratory infectome in Australian feedlot cattle with and without respiratory disease using metatranscriptomics |
title_short | Expanding the range of the respiratory infectome in Australian feedlot cattle with and without respiratory disease using metatranscriptomics |
title_sort | expanding the range of the respiratory infectome in australian feedlot cattle with and without respiratory disease using metatranscriptomics |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10367309/ https://www.ncbi.nlm.nih.gov/pubmed/37491320 http://dx.doi.org/10.1186/s40168-023-01591-1 |
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