Retrospective analysis of antimicrobial resistance associated with bovine respiratory disease.

IF 3.7 2区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Applied and Environmental Microbiology Pub Date : 2025-03-19 Epub Date: 2025-02-07 DOI:10.1128/aem.01909-24
Daniel Kos, Murray Jelinski, Antonio Ruzzini
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Abstract

The administration and utility of antibiotics to control and treat bovine respiratory disease (BRD) in beef cattle feedlots is a growing concern. Antimicrobial resistance (AMR) among BRD-associated bacterial pathogens has been the subject of cultivation-dependent and cultivation-independent surveillance. Bacterial genome sequencing and metagenomic approaches facilitate the characterization of AMR in the beef industry; however, the current collection of cattle-associated AMR research programs lack connections to each other. A more integrated view of how antimicrobial use (AMU) is related to resistance at a gene level is needed. We sought to establish a catalog of commonly observed AMR genes (ARGs) in opportunistic bacterial pathogens that contribute to BRD using publicly available data sets that were generated by the scientific community with and without AMU in mind. The presence of these clinically relevant ARGs appeared to differ by geography. Greater sampling in North America facilitated the generation of a list of ARGs often encoded by Mannheimia haemolytica and Pasteurella multocida. Detection of clinically relevant ARGs in shotgun metagenomes of cattle-associated and accessible feedlot samples such as water, soil, and feces was possible but limited by relative sequence read abundance. An exception was the tylosin esterase-encoding gene estT, which is among the most frequently observed ARGs in M. haemolytica and feedlot-related metagenomic data sets. Finally, by re-evaluating studies on the impact of AMU on AMR in beef production systems, we show that conventional practices, including in-feed antibiotic use, increase the relative abundance of ARGs in animal-derived samples.IMPORTANCEThis retrospective analysis delivers a list of ARGs found in opportunistic pathogens that contribute to BRD. The high incidence of BRD in North America is linked to the origin and implementation of metaphylaxis to mitigate detrimental animal losses at feedlots. Notably, ARGs commonly observed in these pathogens isolated in North America were not conserved across the globe, underscoring the relationship between regional AMU and AMR. A positive relationship was also observed between the relative abundance of ARGs in cattle-associated metagenomes with greater exposure to antibiotics. Overall, this analysis should help to guide future surveillance efforts and experimental designs to more directly evaluate the impacts of feedlot practices on AMR.

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与牛呼吸道疾病相关的抗菌素耐药性回顾性分析。
在肉牛饲养场控制和治疗牛呼吸道疾病(BRD)的抗生素的管理和使用日益受到关注。brd相关细菌病原体的抗菌素耐药性(AMR)一直是培养依赖型和培养独立型监测的主题。细菌基因组测序和宏基因组方法有助于牛肉行业AMR的表征;然而,目前与牛相关的抗菌素耐药性研究项目缺乏相互联系。需要在基因水平上对抗菌素使用(AMU)与耐药性之间的关系有一个更综合的认识。我们试图利用科学界在考虑和不考虑AMU的情况下产生的公开数据集,建立一个在导致BRD的机会性细菌病原体中常见的AMR基因(ARGs)目录。这些临床相关ARGs的存在似乎因地理而异。在北美进行的更大采样促进了ARGs清单的产生,这些ARGs通常由溶血性曼海姆氏菌和多杀性巴氏菌编码。在与牛相关的和可获得的饲养场样品(如水、土壤和粪便)的猎枪宏基因组中检测临床相关的ARGs是可能的,但受相对序列读取丰度的限制。一个例外是酪氨酸酯酶编码基因estT,它是溶血分枝杆菌和饲养场相关宏基因组数据集中最常观察到的ARGs之一。最后,通过重新评估牛肉生产系统中AMU对AMR影响的研究,我们表明,传统做法,包括在饲料中使用抗生素,增加了动物源性样品中arg的相对丰度。本回顾性分析提供了在导致BRD的机会致病菌中发现的ARGs清单。北美BRD的高发病率与过敏反应的起源和实施有关,以减轻饲养场的有害动物损失。值得注意的是,在北美分离的这些病原体中普遍观察到的ARGs在全球范围内并不保守,这强调了区域AMU与AMR之间的关系。还观察到抗生素暴露程度较高的牛相关宏基因组中ARGs的相对丰度之间存在正相关关系。总体而言,这一分析应有助于指导未来的监测工作和实验设计,以更直接地评估饲养场实践对抗生素耐药性的影响。
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来源期刊
Applied and Environmental Microbiology
Applied and Environmental Microbiology 生物-生物工程与应用微生物
CiteScore
7.70
自引率
2.30%
发文量
730
审稿时长
1.9 months
期刊介绍: Applied and Environmental Microbiology (AEM) publishes papers that make significant contributions to (a) applied microbiology, including biotechnology, protein engineering, bioremediation, and food microbiology, (b) microbial ecology, including environmental, organismic, and genomic microbiology, and (c) interdisciplinary microbiology, including invertebrate microbiology, plant microbiology, aquatic microbiology, and geomicrobiology.
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