five

Mixed ANOVA results for bacterial indicators.

收藏
Figshare2026-03-05 更新2026-04-28 收录
下载链接:
https://figshare.com/articles/dataset/_p_Mixed_ANOVA_results_for_bacterial_indicators_p_/31548712
下载链接
链接失效反馈
官方服务:
资源简介:
Northern public beaches are popular recreational and touristic destinations in Mauritius. However, rapid urbanization and coastal development in the region raise concerns about the microbial quality and safety of nearshore waters, which may deteriorate without effective surveillance and management. This could be exacerbated by the occurrence of marine, human pathogenic Vibrio, which may harbor genes conferring virulence and antimicrobial resistance. The aim of the study was thus to assess the microbiological safety and sanitary quality of Northern coastal seawater. The specific objectives were to (i) monitor the population of total Vibrio and hygiene indicator organisms over a ten-month period, and (ii) identify and genetically characterize any human pathogenic Vibrio isolates. Briefly, samples of seawater were collected at four public beaches (La Cuvette, Péreybère, Trou aux Biches and Mont Choisy) at different sampling points over a ten-month period (March – December) and subjected to microbiological and physicochemical analyses. Representative Vibrio isolates were subsequently analyzed by Whole Genome Sequencing for taxonomic identification and to reveal any virulence and antimicrobial resistance genes. Coliform counts varied significantly (P Vibrio counts were also higher during the period of September-December, compared to all other months. Three V. alginolyticus and one V. parahaemolyticus isolates were identified. V. parahaemolyticus ST 1498 was found to harbor genes imparting virulence (tdh + /trh+) and resistance to various antimicrobials (tetracycline, penicillin and β-lactam antibiotics). Findings of this exploratory study highlight the presence of human vibrios of suspected pathogenic potential, that warrants further investigation to understand their associated public health risks.
创建时间:
2026-03-05
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作