Suppr超能文献

亚热带澳大利亚处理后的市政供水系统中微生物的发生率和分布。

Incidence and distribution of microfungi in a treated municipal water supply system in sub-tropical Australia.

机构信息

Centre for Plant and Water Science, CQUniversity Australia, Rockhampton, Queensland, Australia.

出版信息

Int J Environ Res Public Health. 2010 Apr;7(4):1597-611. doi: 10.3390/ijerph7041597. Epub 2010 Apr 6.

Abstract

Drinking water quality is usually determined by its pathogenic bacterial content. However, the potential of water-borne spores as a source of nosocomial fungal infection is increasingly being recognised. This study into the incidence of microfungal contaminants in a typical Australian municipal water supply was carried out over an 18 month period. Microfungal abundance was estimated by the membrane filtration method with filters incubated on malt extract agar at 25 degrees C for seven days. Colony forming units were recovered from all parts of the system and these were enumerated and identified to genus level. The most commonly recovered genera were Cladosporium, Penicillium, Aspergillus and Fusarium. Nonparametric multivariate statistical analyses of the data using MDS, PCA, BEST and bubble plots were carried out with PRIMER v6 software. Positive and significant correlations were found between filamentous fungi, yeasts and bacteria. This study has demonstrated that numerous microfungal genera, including those that contain species which are opportunistic human pathogens, populate a typical treated municipal water supply in sub-tropical Australia.

摘要

饮用水的质量通常取决于其致病细菌的含量。然而,人们越来越认识到,水传播的孢子可能成为医院真菌感染的来源。本研究对典型的澳大利亚市政供水系统中的微型真菌污染物的发生率进行了为期 18 个月的研究。通过膜过滤法,用在 25°C 的麦芽提取物琼脂上培养的过滤器来估计微型真菌的丰度,培养七天。从系统的各个部分回收形成菌落的单位,并对其进行计数和属水平鉴定。最常回收的属是枝孢属、青霉属、曲霉属和镰刀菌属。使用 PRIMER v6 软件对数据进行非参数多元统计分析,包括 MDS、PCA、BEST 和气泡图。丝状真菌、酵母和细菌之间存在正相关和显著相关。本研究表明,包括那些含有机会性人类病原体的物种在内的许多微型真菌属,存在于亚热带澳大利亚的典型处理市政供水中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2d31/2872362/9c3edf55d15d/ijerph-07-01597f1.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