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Computational and structural biotechnology journal2022; 20; 5378-5392; doi: 10.1016/j.csbj.2022.09.028

High-throughput sequencing technologies in the detection of livestock pathogens, diagnosis, and zoonotic surveillance.

Abstract: 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 (), sheep (), pigs (), horses (), chicken (), and ducks () 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.
© 2022 The Author(s).
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Publication Date: 2022-09-26 PubMed ID: 36212529PubMed Central: PMC9526013DOI: 10.1016/j.csbj.2022.09.028Google Scholar: Lookup
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Summary

This research summary has been generated with artificial intelligence and may contain errors and omissions. Refer to the original study to confirm details provided. Submit correction.

This study explores the current use and future potential of high-throughput sequencing (HTS) methodologies in the detection of livestock pathogens and monitoring of zoonotic infections. It suggests that these technologies could revolutionize our understanding of infectious zoonotic diseases and the dynamics of disease transmission, improving disease diagnosis and surveillance.

Overview of High-throughput Sequencing in Livestock Research

  • The article starts off by stating that emerging infectious zoonotic diseases have significantly increased due to globalization, agricultural intensification, urbanization, and climate change. These diseases are becoming more common, making research to understand their transmission and dynamics extremely crucial.
  • High-throughput sequencing (HTS) methodologies have the potential to unfold these complexities and provide a better understanding. HTS comprises technologies that facilitate rapid sequencing of multiple DNA or RNA units simultaneously, hence vastly increasing efficiency of pathological DNA/RNA specimen sequencing.
  • The authors state that these sequencing methodologies are only just starting to be applied in livestock research fields, and as such, this study investigates the current state and use of these sequencing technologies in detecting livestock pathogens, such as those affecting bovines, dogs, sheep, pigs, horses, chickens, and ducks.

Enhancing Detection and Monitoring of Zoonotic Infections

  • Furthermore, the article highlights the potential benefits of HTS methodologies in improving the detection and monitoring of zoonotic infections. Zoonotic infections are diseases that can be transmitted from animals to humans, and given the increasing prevalence of such diseases, technologies that help detect them faster and more accurately are vital.
  • In particular, HTS approaches may help improve the detection of known, unknown, and emerging infectious agents. This improvement will enhance the diagnosis of infectious diseases and bolster the surveillance of zoonotic infections.

Future Prospects of High-throughput Sequencing

  • The authors conclude by suggesting that continued advancements in sequencing technologies will further enrich livestock research in the coming years. They believe the expansion of these high-throughput methodologies will expedite the development of new genomic and technological studies on farm animals, and by extension, lead to better animal healthcare and disease prevention measures.

Cite This Article

APA
Suminda GGD, Bhandari S, Won Y, Goutam U, Kanth Pulicherla K, Son YO, Ghosh M. (2022). High-throughput sequencing technologies in the detection of livestock pathogens, diagnosis, and zoonotic surveillance. Comput Struct Biotechnol J, 20, 5378-5392. https://doi.org/10.1016/j.csbj.2022.09.028

Publication

Computational and structural biotechnology journal
ISSN: 2001-0370
NlmUniqueID: 101585369
Country: Netherlands
Language: English
Volume: 20
Pages: 5378-5392

Researcher Affiliations

Suminda, Godagama Gamaarachchige Dinesh
  • Interdisciplinary Graduate Program in Advanced Convergence Technology and Science, Jeju National University, Jeju-si 63243, Republic of Korea.
Bhandari, Srishti
  • Department of Molecular Biology and Genetic Engineering, School of Bioengineering and Biosciences, Lovely Professional University, Punjab, India.
Won, Yoonkyung
  • Section of Surgical Sciences and Epithelial Biology Center, Vanderbilt University Medical Center, Nashville, TN, USA.
Goutam, Umesh
  • Department of Molecular Biology and Genetic Engineering, School of Bioengineering and Biosciences, Lovely Professional University, Punjab, India.
Kanth Pulicherla, Krishna
  • Department of Science and Technology, Ministry of Science and Technology, Govt. of India, Technology Bhavan, New Delhi, India.
Son, Young-Ok
  • Interdisciplinary Graduate Program in Advanced Convergence Technology and Science, Jeju National University, Jeju-si 63243, Republic of Korea.
  • Department of Animal Biotechnology, Faculty of Biotechnology, College of Applied Life Sciences, Jeju National University, Jeju-si 63243, Republic of Korea.
  • Bio-Health Materials Core-Facility Center, Jeju National University, Jeju-si 63243, Republic of Korea.
Ghosh, Mrinmoy
  • Department of Animal Biotechnology, Faculty of Biotechnology, College of Applied Life Sciences, Jeju National University, Jeju-si 63243, Republic of Korea.
  • Department of Biotechnology, School of Bio, Chemical and Processing Engineering (SBCE), Kalasalin-gam Academy of Research and Educational, Krishnankoil 626126, India.

Conflict of Interest Statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Citations

This article has been cited 4 times.
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