Suppr超能文献

鼻腔致病共生菌丰度是肉牛饲养场依赖性的牛呼吸道疾病的中度指标。

Nasal pathobiont abundance is a moderate feedlot-dependent indicator of bovine respiratory disease in beef cattle.

作者信息

Centeno-Delphia Ruth Eunice, Glidden Natalie, Long Erica, Ellis Audrey, Hoffman Sarah, Mosier Kara, Ulloa Noelmi, Cheng Johnnie Junior, Davidson Josiah Levi, Mohan Suraj, Kamel Mohamed, Szasz Josh I, Schoonmaker Jon, Koziol Jennifer, Boerman Jacquelyn P, Ault Aaron, Verma Mohit S, Johnson Timothy A

机构信息

Department of Animal Science, Purdue University, 270 S Russell St, room 2020, West Lafayette, IN, USA.

Escuela Agrícola Panamericana Zamorano, Valle del Yeguare, Tegucigalpa, Honduras.

出版信息

Anim Microbiome. 2025 Mar 15;7(1):27. doi: 10.1186/s42523-025-00387-y.

Abstract

BACKGROUND

Bovine respiratory disease (BRD) poses a persistent challenge in the beef cattle industry, impacting both animal health and economic aspects. Several risk factors make an animal susceptible to BRD, including bacteria such as Mannheimia haemolytica, Pasteurella multocida, Histophilus somni, and Mycoplasma bovis. Despite efforts to characterize and quantify these bacteria in the nasal cavity for disease diagnosis, more research is needed to understand if there is a pathobiont abundance threshold for clinical signs of respiratory disease, and if the results are similar across feedlots. This study aims to compare the nasal microbiome community diversity and composition, along with the abundance of four bacterial pathogens and associated serotypes, in apparently healthy and BRD-affected beef cattle. Nasal swabs were collected from four beef feedlots across the US, covering the years 2019 to 2022. The study included post-weaned beef cattle with diverse housing conditions.

RESULTS

Quantification of BRD-associated pathogens effectively distinguished BRD-affected from apparently healthy beef cattle, surpassing the efficacy of 16S rRNA gene sequencing of the nasal microbiome community. Specifically, H. somni, M. bovis, and M. haemolytica had higher abundance in the BRD-affected group. Utilizing the abundance of these pathobionts and analyzing their combined abundance with machine learning models resulted in an accuracy of approximately 63% for sample classification into disease status. Moreover, there were no significant differences in nasal microbiome diversity (alpha and beta) between BRD-affected and apparently healthy cattle; instead, differences were detected between feedlots.

CONCLUSIONS

Notably, this study sheds light on the beef cattle nasal microbiome community composition, revealing specific differences between BRD-affected and apparently healthy cattle. Pathobiont abundance was increased in some, but not all farms. Nonetheless, more research is needed to determine if these differences are consistent across other studies. Additionally, future research should consider bacterial-viral interactions in the beef nasal metagenome.

摘要

背景

牛呼吸道疾病(BRD)对肉牛产业构成持续挑战,影响动物健康和经济层面。多种风险因素使动物易患BRD,包括溶血曼氏杆菌、多杀巴斯德菌、睡眠嗜组织菌和牛支原体等细菌。尽管已努力对鼻腔中的这些细菌进行表征和定量以用于疾病诊断,但仍需更多研究来了解呼吸道疾病临床症状是否存在致病共生菌丰度阈值,以及不同饲养场的结果是否相似。本研究旨在比较表面健康和受BRD影响的肉牛的鼻腔微生物群落多样性和组成,以及四种细菌病原体及其相关血清型的丰度。从美国各地的四个肉牛饲养场收集了2019年至2022年期间的鼻拭子。该研究包括断奶后居住条件多样的肉牛。

结果

对与BRD相关病原体的定量能有效区分受BRD影响的肉牛和表面健康的肉牛,优于鼻腔微生物群落的16S rRNA基因测序的效果。具体而言,睡眠嗜组织菌、牛支原体和溶血曼氏杆菌在受BRD影响的组中丰度更高。利用这些致病共生菌的丰度并通过机器学习模型分析它们的综合丰度,将样本分类到疾病状态的准确率约为63%。此外,受BRD影响的牛和表面健康的牛在鼻腔微生物多样性(α和β)方面没有显著差异;相反,在不同饲养场之间检测到了差异。

结论

值得注意的是,本研究揭示了肉牛鼻腔微生物群落组成,揭示了受BRD影响的牛和表面健康的牛之间的特定差异。在一些但并非所有农场中,致病共生菌的丰度有所增加。尽管如此,但仍需更多研究来确定这些差异在其他研究中是否一致。此外,未来的研究应考虑肉牛鼻腔宏基因组中的细菌 - 病毒相互作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e7b0/11909826/f3ddd9852077/42523_2025_387_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验