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

• Published in: Computational and Structural Biotechnology Journal
• Main Authors: Suminda, Godagama Gamaarachchige Dinesh, Bhandari, Srishti, Won, Yoonkyung, Goutam, Umesh, Kanth Pulicherla, Krishna, Son, Young-Ok, Ghosh, Mrinmoy
• Format: Text
• Language: English
• Published: Research Network of Computational and Structural Biotechnology 2022
• Subjects: Review; Canis lupus
• Online Access: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9526013/; https://doi.org/10.1016/j.csbj.2022.09.028

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.