EDITORIAL article
Front. Vet. Sci.
Sec. Veterinary Epidemiology and Economics
This article is part of the Research TopicSequencing and Phylogenetic Analysis as a Tool in Molecular Epidemiology of Veterinary Infectious Diseases - Volume IIView all 15 articles
Editorial: Sequencing and Phylogenetic Analysis as a Tool in Molecular Epidemiology of Veterinary Infectious Diseases — Volume II
Provisionally accepted
- 1Iowa State University, Ames, United States
- 2National Laboratory for Veterinary Quality Control on Poultry Production, Animal Health Research Institute, Agriculture Research Center, Giza, Egypt
- 3Key Laboratory of Animal Pathogen Infection and Immunology of Fujian Province, College of Animal Sciences, Fujian Agriculture and Forestry University, Fuzhou, China, Fujian, China
- 4Suez Canal University Faculty of Veterinary Medicine, Ismailia, Egypt
- 5Southeast Poultry Research Laboratory, U.S. National Poultry Research Center, Agricultural Research Service, United States Department of Agriculture., Athens, United States
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Over the past decade, rapid advances in sequencing technologies have transformed molecular epidemiology from a confirmatory discipline into a proactive framework for real-time pathogen tracking and evolutionary insight. Volume II of this Research Topic builds upon the foundation of the first collection, emphasizing how the continuous improvement of sequencing technologies and bioinformatic analysis enables more accurate detection, classification, and monitoring of a broad spectrum of veterinary pathogens. The 14 contributions encompass poultry, swine, cattle, small ruminants, companion animals, and wildlife, demonstrating that genomics underpins outbreak investigation, routine surveillance, and discovery of hidden pathogen diversity. Together, they illustrate how high-throughput sequencing, longread platforms, and integrative phylogenetic pipelines are now essential tools for modern disease control in animal populations.
Keywords: whole genome sequencing (WGS), phylogenetic analysis, bioinformatics, Molecular Epidemiology, Next generation seqeuncing (NGS)
Received: 16 Oct 2025; Accepted: 21 Oct 2025.
Copyright: © 2025 Hashish, Maarouf and Goraichuk. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Amro Hashish, hashish@iastate.edu
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