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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9526013/ https://www.ncbi.nlm.nih.gov/pubmed/36212529 http://dx.doi.org/10.1016/j.csbj.2022.09.028 |
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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 |
collection | PubMed |
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 | Online Article Text |
id | pubmed-9526013 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Research Network of Computational and Structural Biotechnology |
record_format | MEDLINE/PubMed |
spelling | pubmed-95260132022-10-06 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 Comput Struct Biotechnol J Review 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. Research Network of Computational and Structural Biotechnology 2022-09-26 /pmc/articles/PMC9526013/ /pubmed/36212529 http://dx.doi.org/10.1016/j.csbj.2022.09.028 Text en © 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/). |
spellingShingle | 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 |
title | 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_short | 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 |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9526013/ https://www.ncbi.nlm.nih.gov/pubmed/36212529 http://dx.doi.org/10.1016/j.csbj.2022.09.028 |
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