Computational and Structural Biotechnology Journal (Jan 2022)

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

  • Godagama Gamaarachchige Dinesh Suminda,
  • Srishti Bhandari,
  • Yoonkyung Won,
  • Umesh Goutam,
  • Krishna Kanth Pulicherla,
  • Young-Ok Son,
  • Mrinmoy Ghosh

Journal volume & issue
Vol. 20
pp. 5378 – 5392

Abstract

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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.

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