Skip to main content
Influenza and Other Respiratory Viruses logoLink to Influenza and Other Respiratory Viruses
letter
. 2025 Sep 28;19(10):e70165. doi: 10.1111/irv.70165

First Detection of Boosepivirus B1 in a Sick Yearling's Nasal Swab, Mexico

Judith U Oguzie 1,✉, Gustavo Hernandez‐Vidal 2, Gustavo Moreno‐Degollado 2, Gregory C Gray 1,3,4
PMCID: PMC12477273  PMID: 41017134

To the Editor,

1.

Boosepivirus (BooV), a recently proposed genus within the family Picornaviridae, includes species A, B, and C, each with distinct genotypic subdivisions (e.g., B1 and B2) [1]. To date, BooV has been detected exclusively in fecal samples from cattle in several geographic locations with no prior reports of its presence in respiratory specimens [2, 3, 4, 5]. Here, we describe the first detection of the BooV B1 genotype in a nasal swab collected from a beef yearling exhibiting respiratory symptoms in Mexico.

As part of a One Health surveillance for novel respiratory viruses on US and Mexican beef cattle farms in 2024, farm workers collected deep nasal swabs from 40 sick beef cattle and 12 bioaerosol samples from a farm in Nuevo León, Mexico. RNA was extracted from nasal swab specimens using the QIAamp Viral RNA Mini Kit on the QIAcube Connect automated system (QIAGEN Inc., Valencia, CA). Sequencing libraries were prepared with the Illumina Nextera XT Library Prep Kit (San Diego), following established protocols [6]. Libraries were sequenced on the Illumina NovaSeq X platform, generating 75‐bp paired‐end reads.

Raw metagenomic sequencing (mNGS) reads were processed using the Chan Zuckerberg ID (CZ ID) platform (https://czid.org). Subsequently, BooV genomes were aligned with published BooV sequences from the NCBI database using MAFFT [7], and a maximum likelihood phylogenetic tree was generated with IQ‐TREE [8]. The resulting tree was visualized and annotated in FigTree v1.4.4 (http://tree.bio.ed.ac.uk/software/figtree/).

One of the 40 sick cow samples from the farm was chosen for mNGS based on pan‐coronavirus assay positivity, which yielded evidence for a rodent coronavirus [9]. The specimen was collected from a 17‐month‐old beef yearling with fever and nasal discharge. The specimen had no molecular evidence of influenza A or D.

We assembled a contig of 7512 nt in length. BLASTn analysis demonstrated 87.63% nucleotide identity with strain 21‐0305 (GenBank accession no. MZ052226.1). At the protein level, BLASTp analysis of the amino acid sequence revealed 98.33% identity with strain Bo‐12‐11/2009/JPN (GenBank accession no. LC036581.1) and 98.29% identity with strain 21‐0305 (GenBank accession no. MZ052226.1). Phylogenetic analysis further showed that our sequence formed a monophyletic cluster with MZ052226.1, which was previously isolated from a diarrheic calf in the United States (Figure 1).

FIGURE 1.

FIGURE 1

Maximum‐likelihood phylogenetic tree of boosepivirus sequences. The tree was constructed using complete or near‐complete polyprotein gene sequences available in GenBank and the sequence generated in this study (highlighted in purple). The analysis was performed using the IQ‐TREE software under the best‐fit substitution model, and branch support values were calculated with 1000 bootstrap replicates. The scale bar indicates nucleotide substitutions per site. Strain names, accession numbers, host species, and countries of origin are shown where available. Our sequence clustered within the boosepivirus B1 lineage, closely related to strains previously detected in the United States.

Notably, this is the first report of BooV detection in a nasal specimen. The BooV sequence has been submitted to the GenBank database under accession number PX262393. Although we cannot rule out fecal contamination of the yearling's airway, as the yearling had marked respiratory signs, our finding suggests the possibility of BooV's association with respiratory illness in cattle. This detection highlights the value of employing broad‐range diagnostics when evaluating respiratory specimens from symptomatic cattle.

Author Contributions

Judith U. Oguzie: conceptualization, investigation, methodology, writing – original draft, writing – review and editing, visualization, validation, formal analysis. Gustavo Hernandez‐Vidal: investigation, methodology, writing – review and editing. Gustavo Moreno‐Degollado: investigation, methodology, writing – review and editing. Gregory C. Gray: conceptualization, methodology, investigation, formal analysis, supervision, funding acquisition, project administration, resources, writing – review and editing.

Conflicts of Interest

The authors declare no conflicts of interest.

Acknowledgments

We express our gratitude to the staff of the UTMB One Health Laboratory, including Lyudmyla Marushchak, Jessica Rodriguez, Ismaila Shittu, Thang Tien Nguyen, Diego B. Silva, and Claudia Trujillo‐Vargas, for their assistance with the laboratory analysis. We extend our thanks to the management and staff of the cattle farm for allowing us to conduct samplings on their premises.

Oguzie J., Hernandez‐Vidal G., Moreno‐Degollado G., and Gray G., “First Detection of Boosepivirus B1 in a Sick Yearling's Nasal Swab, Mexico,” Influenza and Other Respiratory Viruses 19, no. 10 (2025): e70165, 10.1111/irv.70165.

Funding: This project was supported in part by the Agriculture and Food Research Initiative Competitive Grant from the American Rescue Plan Act (award number 2023‐70432‐39558) through USDA APHIS, USDA‐ARS Agreement 58‐3022‐4‐048, and by Professor Gregory C. Gray's startup funding from the University of Texas Medical Branch. The findings and conclusions in this report are those of the authors and should not be construed to represent any official USDA or US Government determination or policy.

Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon request.

References

  • 1. Ji C., Zhang Y., Feng Y., et al., “Systematic Surveillance of an Emerging Picornavirus Among Cattle and Sheep in China,” Microbiology Spectrum 11, no. 3 (2023): e0504022. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Chae J. B., Shin S. U., Kim S., et al., “Identification of a New Bovine Picornavirus (Boosepivirus) in the Republic of Korea,” Journal of Veterinary Science 25, no. 5 (2024): e59. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3. Wang L., Lim A., and Fredrickson R., “Genomic Characterization of a New Bovine Picornavirus (Boosepivirus) in Diarrheal Cattle and Detection in Different States of the United States, 2019,” Transboundary and Emerging Diseases 69, no. 5 (2022): 3109–3114. [DOI] [PubMed] [Google Scholar]
  • 4. Hause B. M., Nelson E., and Christopher‐Hennings J., “Identification of Boosepivirus B in U.S. Calves,” Archives of Virology 166, no. 11 (2021): 3193–3197. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5. Bergholm J., Tessema T. S., Blomström A.‐L., and Berg M., “Metagenomic Insights Into the Complex Viral Composition of the Enteric RNA Virome in Healthy and Diarrheic Calves From Ethiopia,” Virology Journal 22, no. 1 (2025): 188. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Oguzie J. U., Petros B. A., Oluniyi P. E., et al., “Metagenomic Surveillance Uncovers Diverse and Novel Viral Taxa in Febrile Patients From Nigeria,” Nature Communications 14, no. 1 (2023): 4693. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Katoh K. and Standley D. M., “MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability,” Molecular Biology and Evolution 30, no. 4 (2013): 772–780. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Minh B. Q., Schmidt H. A., Chernomor O., et al., “IQ‐TREE 2: New Models and Efficient Methods for Phylogenetic Inference in the Genomic Era,” Molecular Biology and Evolution 37, no. 5 (2020): 1530–1534. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Shittu I., Oguzie J. U., Hernández‐Vidal G., et al., “Novel Rodent Coronavirus‐Like Virus Detected Among Beef Cattle With Respiratory Disease in Mexico,” Viruses 17, no. 3 (2025): 433. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon request.


Articles from Influenza and Other Respiratory Viruses are provided here courtesy of Wiley

RESOURCES