Pintér Krisztina, Domán Marianna, Wehmann Enikő, Gantelet Hubert, Magyar Tibor
HUN-REN Veterinary Medical Research Institute, 1143 Budapest, Hungary.
National Laboratory of Infectious Animal Diseases, Antimicrobial Resistance, Veterinary Public Health and Food Chain Safety, University of Veterinary Medicine, 1078 Budapest, Hungary.
Antibiotics (Basel). 2025 Sep 8;14(9):906. doi: 10.3390/antibiotics14090906.
: is responsible for a wide variety of animal diseases worldwide, causing major economic losses. These infections are usually treated with antibiotics; however, the emergence of multidrug-resistant (MDR) strains is increasingly hindering. Understanding antibiotic resistance in is important for effective treatment strategies and public health, as it impacts both animal and human welfare. : In this study, the antibiotic susceptibility of 80 isolates was evaluated by phenotypic (disk diffusion and broth microdilution) and genotypic analysis via whole-genome sequencing, with particular attention to the occurrence of MDR strains. The strains were tested against antibiotics from nine antimicrobial classes (penicillins, cephalosporins, aminoglycosides, tetracyclines, macrolides, fluoroquinolones, lincosamides, phenicols, and sulfonamides). Antimicrobial resistance gene (ARG) sequences and single-nucleotide polymorphisms (SNPs) were evaluated in paired reads using the Bacterial and Viral Bioinformatics Resource Center (BV-BRC) and the Comprehensive Antibiotic Resistance Database (CARD) via Resistance Gene Identifier (RGI), respectively. : Phenotypic results indicated that cephalosporins and phenicols were the most effective drugs against ; however, the majority of strains were also susceptible to fluoroquinolones and tetracyclines. In contrast, high resistance rates were observed to sulfamethoxazole and clindamycin. The most prevalent resistance genes were A, 2, and H, while none of the strains harbored the - or (42) genes. : Of the two phenotypic methods, MIC values showed a stronger positive correlation with genotypic results, making it a more suitable method for determining antibiotic susceptibility. The phenotypic results for phenicols, tetracyclines, and fluoroquinolones showed a strong correlation with the detected resistance genes. In contrast, resistance to sulfamethoxazole, β-lactams, and macrolides remained genetically unexplained, suggesting the existence of additional resistance mechanisms to be explored.
:在全球范围内引发多种动物疾病,造成重大经济损失。这些感染通常用抗生素治疗;然而,多重耐药(MDR)菌株的出现日益构成阻碍。了解[具体细菌名称未给出]中的抗生素耐药性对于有效的治疗策略和公共卫生很重要,因为它影响动物和人类的健康。:在本研究中,通过表型(纸片扩散法和肉汤微量稀释法)和全基因组测序的基因型分析评估了80株[具体细菌名称未给出]分离株的抗生素敏感性,特别关注MDR菌株的出现情况。这些菌株针对九类抗菌药物(青霉素类、头孢菌素类、氨基糖苷类、四环素类、大环内酯类、氟喹诺酮类、林可酰胺类、酚类和磺胺类)进行测试。分别使用细菌和病毒生物信息学资源中心(BV - BRC)和综合抗生素耐药性数据库(CARD)通过耐药基因标识符(RGI)在配对读段中评估抗菌耐药基因(ARG)序列和单核苷酸多态性(SNP)。:表型结果表明,头孢菌素类和酚类是针对[具体细菌名称未给出]最有效的药物;然而,大多数菌株对氟喹诺酮类和四环素类也敏感。相比之下,观察到对磺胺甲恶唑和克林霉素的耐药率较高。最普遍的耐药基因是A、2和H,而没有菌株携带[具体基因未给出]或[具体基因未给出](42)基因。:在两种表型方法中,MIC值与基因型结果显示出更强的正相关,使其成为确定抗生素敏感性更合适的方法。酚类、四环素类和氟喹诺酮类的表型结果与检测到的耐药基因显示出很强的相关性。相比之下,对磺胺甲恶唑、β - 内酰胺类和大环内酯类的耐药在基因上仍无法解释,这表明存在有待探索的其他耐药机制。