Zin Hyunwoo, Lim Jaewon, Shin Younhee, Kim Byeori, Yoon Minchul, Ha Kwangsoo, Cho Sunghyun
Food Safety and Processing Research Division, National Institute of Fisheries Science, 216 Gijang-haeanro, Gijang-eup, Busan 46083, Republic of Korea.
Research and Development Center, Insilicogen Inc., 13, Yongin-si 16954, Republic of Korea.
Microorganisms. 2024 Dec 4;12(12):2497. doi: 10.3390/microorganisms12122497.
, a significant cause of gastroenteritis and a growing public health concern, has become increasingly prevalent owing to the rise in ocean temperatures driven by climate change. This study aimed to characterize the genetic diversity, pathogenic potential, and antimicrobial resistance (AMR) profiles of strains isolated from the southern coastal region of Korea. Using whole genome sequencing (WGS) and advanced bioinformatics tools, we identified novel sequence types through multilocus sequence typing and serotyped isolates using the VPsero database. Pathogenic genes, such as and , were detected in only a few isolates, suggesting the involvement of alternative virulence mechanisms in the pathogenicity of these strains. An in silico analysis revealed widespread AMR, particularly against beta-lactams, chloramphenicol, and tetracycline antibiotics, underscoring the public health threats posed by these strains. A phylogenetic analysis revealed no significant clustering by geographic origin, year, or strain source, although most clinical and environmental strains were not closely related at lower phylogenetic branches. These findings highlight the importance of continued genomic surveillance and strict regulations regarding antibiotic use in marine environments. Moreover, this study suggests that integrating WGS data with epidemiological models could enhance the prediction of the emerging virulent strains and support effective outbreak management strategies.
由于气候变化导致海洋温度上升,作为肠胃炎的一个重要病因且日益受到公共卫生关注的[病原体名称未给出],其流行程度日益增加。本研究旨在表征从韩国南部沿海地区分离出的[病原体名称未给出]菌株的遗传多样性、致病潜力和抗菌药物耐药性(AMR)谱。使用全基因组测序(WGS)和先进的生物信息学工具,我们通过多位点序列分型鉴定了新的序列类型,并使用VPsero数据库对分离株进行血清分型。仅在少数分离株中检测到诸如[致病基因名称未给出]和[致病基因名称未给出]等致病基因,这表明这些菌株的致病性涉及其他毒力机制。一项计算机模拟分析揭示了广泛的AMR,尤其是对β-内酰胺类、氯霉素和四环素类抗生素的耐药性,突出了这些菌株对公共卫生构成的威胁。系统发育分析显示,尽管大多数临床和环境菌株在较低的系统发育分支上关系不密切,但未按地理来源、年份或菌株来源进行明显聚类。这些发现凸显了持续进行基因组监测以及对海洋环境中抗生素使用实施严格监管的重要性。此外,本研究表明,将WGS数据与流行病学模型相结合可以加强对新兴毒力菌株的预测,并支持有效的疫情管理策略。