Identification of novel bacterial populations associated with bovine foot lesions using 16S rRNA sequencing

Inflammatory foot lesions in cattle result in significant economic losses for the global cattle industry. However, the etiology of foot lesions in dairy herds in China remains poorly understood. In this study, we utilized 16S rRNA sequencing to identify bacterial species potentially associated with severe foot lesions in thirty-one cows from two dairy farms in China, sampled between 2023 and 2024. A total of twenty-one bacterial strains were identified as potentially linked to these lesions. Among these, six species are known to be zoonotic, while the pathogenic potential to humans or cattle has not been reported for five species. Additionally, the capacity to stimulate foot lesions in cattle has not been documented for eight bacterial strains. Notably, 45.16% (14/31) of individual samples contained two or more predominant bacterial species. Fusobacterium necrophorum and Porphyromonas levii were the most predominant strains across both farms. Our findings provide further insights into the potential pathogens associated with infectious cattle foot disease.

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Publication Details

Journal
Research in Veterinary Science
Published
2025-11-11
DOI
https://doi.org/10.1016/j.rvsc.2025.105975
Primary Topic
Animal Behavior and Welfare Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Identification of novel bacterial populations associated with bovine foot lesions using 16S rRNA sequencing

Jiahui Zhang, Qi‐Jie Zhang, Hassan Hussein Musa, Liqian Zhu et al.
Research in Veterinary Science
Animal Behavior and Welfare Studies
article

Identification of novel bacterial populations associated with bovine foot lesions using 16S rRNA sequencing

Jiahui Zhang, Qi‐Jie Zhang, Hassan Hussein Musa, Liqian Zhu, Wenyuan Gu, Yue Pang, Xiuyan Ding, Heci Zhao
article en

Abstract

Inflammatory foot lesions in cattle result in significant economic losses for the global cattle industry. However, the etiology of foot lesions in dairy herds in China remains poorly understood. In this study, we utilized 16S rRNA sequencing to identify bacterial species potentially associated with severe foot lesions in thirty-one cows from two dairy farms in China, sampled between 2023 and 2024. A total of twenty-one bacterial strains were identified as potentially linked to these lesions. Among these, six species are known to be zoonotic, while the pathogenic potential to humans or cattle has not been reported for five species. Additionally, the capacity to stimulate foot lesions in cattle has not been documented for eight bacterial strains. Notably, 45.16% (14/31) of individual samples contained two or more predominant bacterial species. Fusobacterium necrophorum and Porphyromonas levii were the most predominant strains across both farms. Our findings provide further insights into the potential pathogens associated with infectious cattle foot disease.

Research in Veterinary ScienceVol. 197
University of Medical Sciences and Technology (SD), University of Khartoum (SD), Hebei Provincial Center for Disease Control and Prevention (CN), Hebei University (CN)
Openalex Percentile: Top 60%
Animal Behavior and Welfare Studies
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