Computational and Structural Biotechnology Journal

2001-0370

20 (2022) 5378–5392

SCIE

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

Godagama Gamaarachchige Dinesh Suminda, Young-Ok Son*

수민다, 손영옥

Srishti Bhandari, Yoonkyung Won, Umesh Goutam, Krishna Kanth Pulicherla, Mrinmoy Ghosh

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 sequenc￾ing 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.

2022.09.26.

https://doi.org/10.1016/j.csbj.2022.09.028