# Whole genome sequencing in animal health: applications, challenges, and future directions

**Authors:** Johannes Charlier, Alistair Antonopoulos, Bart J.G. Broeckx, Aaron Pomerantz, Veronica L Fowler, Volodimir Olexiouk, Sebastiaan Theuns, Sven Arnouts

PMC · DOI: 10.1186/s12917-026-05329-7 · BMC Veterinary Research · 2026-02-06

## TL;DR

Whole genome sequencing is changing animal health diagnostics by enabling detailed pathogen detection and insights into antimicrobial resistance and virulence, though challenges remain in its practical use.

## Contribution

The paper outlines how whole genome sequencing can enhance diagnostics by providing comprehensive pathogen insights beyond traditional methods.

## Key findings

- Whole genome sequencing offers deeper insights into pathogens compared to targeted methods.
- Challenges include genome complexity and accessibility of sequencing technology.
- Recommendations are provided to improve the implementation of WGS in animal disease diagnosis.

## Abstract

WGS is revolutionizing animal health diagnostics, offering unprecedented opportunities for pathogen detection and biomarker identification, while offering increased depth of data, in comparison to more targeted approaches such as amplicon sequencing. However current diagnostic approaches stay valuable as they are often still more cost-effective and easier to interpret. WGS can, however, offer the ability to carry out species identification and combine this with additional insights such as presence of antimicrobial resistance (AMR) mutations or genes, vaccine escape variants, recombination or reassortment, and virulence and pathogenicity factors. Moreover, the technology enables more systematic approaches, capable of screening the whole pathogenome or host genome instead of the traditional diagnostic approaches where a selection of pathogens or diagnostic markers needs to be made beforehand with a high chance of missing the (interplay of) causative agent(s) that has led to the disease. While already transforming epidemiological surveillance, practical diagnostic implementation remains challenging in some contexts due to genome complexity, sample processing requirements and accessibility of the technology. We make some recommendations on how research can overcome the remaining challenges to unlock the full potential of WGS technologies in the diagnosis of animal diseases.

## Full-text entities

- **Diseases:** infection (MESH:D007239), diseases (MESH:D004194), bTB (MESH:D014380), AMR (MESH:D060467), FMD (MESH:D005536), zoonotic disease (MESH:D015047), cancer (MESH:D009369), Infectious Diseases (MESH:D003141), Mendelian diseases (MESH:D030342)
- **Chemicals:** IDAZ (-), levamisole (MESH:D007978), benzimidazole (MESH:C031000)
- **Species:** fungal sp. M-D (species) [taxon 1074441], Bos taurus (bovine, species) [taxon 9913], Felis catus (cat, species) [taxon 9685], Human immunodeficiency virus 1 (no rank) [taxon 11676], Bacteria Latreille et al. 1825 (Bacteria stick insect, genus) [taxon 629395], Butyrivibrio sp. TB (species) [taxon 1520809], African swine fever virus (no rank) [taxon 10497], Homo sapiens (human, species) [taxon 9606], Salmonella (genus) [taxon 590], Schmallenberg virus (no rank) [taxon 1133363], Canis lupus familiaris (dog, subspecies) [taxon 9615], Mycobacterium tuberculosis variant bovis (biotype) [taxon 1765]

## Full text

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## References

18 references — full list in the complete paper: https://tomesphere.com/paper/PMC13005455/full.md

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Source: https://tomesphere.com/paper/PMC13005455