High-throughput sequencing technologies in the detection of livestock pathogens, diagnosis, and zoonotic surveillance
Increasing globalization, agricultural intensification, urbanization, and climatic changes have resulted in a significant recent increase in emerging infectious zoonotic diseases. Zoonotic diseases are becoming more common, so innovative, effective, and integrative research is required to better und...
Published in: | Computational and Structural Biotechnology Journal |
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ftpubmed:oai:pubmedcentral.nih.gov:9526013 2023-05-15T15:50:27+02:00 High-throughput sequencing technologies in the detection of livestock pathogens, diagnosis, and zoonotic surveillance Suminda, Godagama Gamaarachchige Dinesh Bhandari, Srishti Won, Yoonkyung Goutam, Umesh Kanth Pulicherla, Krishna Son, Young-Ok Ghosh, Mrinmoy 2022-09-26 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9526013/ https://doi.org/10.1016/j.csbj.2022.09.028 en eng Research Network of Computational and Structural Biotechnology http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9526013/ http://dx.doi.org/10.1016/j.csbj.2022.09.028 © 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). CC-BY Comput Struct Biotechnol J Review Text 2022 ftpubmed https://doi.org/10.1016/j.csbj.2022.09.028 2022-10-09T00:36:41Z Increasing globalization, agricultural intensification, urbanization, and climatic changes have resulted in a significant recent increase in emerging infectious zoonotic diseases. Zoonotic diseases are becoming more common, so innovative, effective, and integrative research is required to better understand their transmission, ecological implications, and dynamics at wildlife-human interfaces. High-throughput sequencing (HTS) methodologies have enormous potential for unraveling these contingencies and improving our understanding, but they are only now beginning to be realized in livestock research. This study investigates the current state of use of sequencing technologies in the detection of livestock pathogens such as bovine, dogs (Canis lupus familiaris), sheep (Ovis aries), pigs (Sus scrofa), horses (Equus caballus), chicken (Gallus gallus domesticus), and ducks (Anatidae) as well as how it can improve the monitoring and detection of zoonotic infections. We also described several high-throughput sequencing approaches for improved detection of known, unknown, and emerging infectious agents, resulting in better infectious disease diagnosis, as well as surveillance of zoonotic infectious diseases. In the coming years, the continued advancement of sequencing technologies will improve livestock research and hasten the development of various new genomic and technological studies on farm animals. Text Canis lupus PubMed Central (PMC) Computational and Structural Biotechnology Journal 20 5378 5392 |
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Review Suminda, Godagama Gamaarachchige Dinesh Bhandari, Srishti Won, Yoonkyung Goutam, Umesh Kanth Pulicherla, Krishna Son, Young-Ok Ghosh, Mrinmoy High-throughput sequencing technologies in the detection of livestock pathogens, diagnosis, and zoonotic surveillance |
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Review |
description |
Increasing globalization, agricultural intensification, urbanization, and climatic changes have resulted in a significant recent increase in emerging infectious zoonotic diseases. Zoonotic diseases are becoming more common, so innovative, effective, and integrative research is required to better understand their transmission, ecological implications, and dynamics at wildlife-human interfaces. High-throughput sequencing (HTS) methodologies have enormous potential for unraveling these contingencies and improving our understanding, but they are only now beginning to be realized in livestock research. This study investigates the current state of use of sequencing technologies in the detection of livestock pathogens such as bovine, dogs (Canis lupus familiaris), sheep (Ovis aries), pigs (Sus scrofa), horses (Equus caballus), chicken (Gallus gallus domesticus), and ducks (Anatidae) as well as how it can improve the monitoring and detection of zoonotic infections. We also described several high-throughput sequencing approaches for improved detection of known, unknown, and emerging infectious agents, resulting in better infectious disease diagnosis, as well as surveillance of zoonotic infectious diseases. In the coming years, the continued advancement of sequencing technologies will improve livestock research and hasten the development of various new genomic and technological studies on farm animals. |
format |
Text |
author |
Suminda, Godagama Gamaarachchige Dinesh Bhandari, Srishti Won, Yoonkyung Goutam, Umesh Kanth Pulicherla, Krishna Son, Young-Ok Ghosh, Mrinmoy |
author_facet |
Suminda, Godagama Gamaarachchige Dinesh Bhandari, Srishti Won, Yoonkyung Goutam, Umesh Kanth Pulicherla, Krishna Son, Young-Ok Ghosh, Mrinmoy |
author_sort |
Suminda, Godagama Gamaarachchige Dinesh |
title |
High-throughput sequencing technologies in the detection of livestock pathogens, diagnosis, and zoonotic surveillance |
title_short |
High-throughput sequencing technologies in the detection of livestock pathogens, diagnosis, and zoonotic surveillance |
title_full |
High-throughput sequencing technologies in the detection of livestock pathogens, diagnosis, and zoonotic surveillance |
title_fullStr |
High-throughput sequencing technologies in the detection of livestock pathogens, diagnosis, and zoonotic surveillance |
title_full_unstemmed |
High-throughput sequencing technologies in the detection of livestock pathogens, diagnosis, and zoonotic surveillance |
title_sort |
high-throughput sequencing technologies in the detection of livestock pathogens, diagnosis, and zoonotic surveillance |
publisher |
Research Network of Computational and Structural Biotechnology |
publishDate |
2022 |
url |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9526013/ https://doi.org/10.1016/j.csbj.2022.09.028 |
genre |
Canis lupus |
genre_facet |
Canis lupus |
op_source |
Comput Struct Biotechnol J |
op_relation |
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9526013/ http://dx.doi.org/10.1016/j.csbj.2022.09.028 |
op_rights |
© 2022 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1016/j.csbj.2022.09.028 |
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Computational and Structural Biotechnology Journal |
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20 |
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5378 |
op_container_end_page |
5392 |
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1766385388424790016 |