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Molecular analysis of the bacterial drinking water community with respect to live/dead status

机译:细菌饮用水社区关于生/死状态的分子分析

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The assessment of the physiological state of the bacteria in drinking water is a critical issue, especially with respect to the presence of pathogenic bacteria. Though molecular methods can provide insight into the taxonomic composition of the drinking water microflora, the question if a bacterial species is alive or dead still needs to be addressed. To distinguish live and dead bacteria at the taxonomic level, we combined three methods: i) a staining procedure indicating membrane- injured cells (using SYTO9 and Propidium Iodide) that is considered to distinguish between live and dead cells, ii) Fluorescence Activated Cell Sorting (FACS) of the membrane injured and intact bacteria, and iii) molecular analyses of the RNA extracted from the bacteria before and after sorting to analyse the bacterial community at the species level. By staining and FACS analysis the drinking water bacteria could be separated according to their different membrane integrities, and RNA could be extracted from the live and dead sorted bacterial fractions. 16S rRNA based fingerprints revealed a diverse bacterial community in the drinking water samples with the majority being represented by 31 identified phylotypes. Most of the phylotypes referenced belonged to the phyla Proteobacteria (Alpha-, Beta-, Gamma-), Cyanobacteria and Bacteroidetes, and were mostly related to freshwater bacteria. 90% of the total phylotypes could be recovered after FAC- Sorting; 32% of the phylotypes occurred only in the "live" sorted fraction, 21% only in the "dead" sorted fraction, and 46% occurred in both fractions.
机译:饮用水中细菌的生理状态评估是一个关键问题,尤其是在病原细菌的存在方面。尽管分子方法可以为饮用水微生物群落的分类学组成提供洞察力,但仍然需要解决细菌物种是存活还是死亡的问题。为了在分类学上区分活细菌和死细菌,我们结合了三种方法:i)染色程序指示膜损伤的细胞(使用SYTO9和碘化丙锭),被认为可以区分活细胞和死细胞,ii)荧光激活细胞分选(FACS)膜损伤和完整的细菌,以及iii)在分选前后对从细菌中提取的RNA进行分子分析,以在物种水平上分析细菌群落。通过染色和FACS分析,可以根据饮用水细菌的不同膜完整性将其分离,并可以从活的和死的细菌级分中提取RNA。基于16S rRNA的指纹揭示了饮用水样品中的细菌群落,其中大多数由31种确定的系统型代表。所提及的大多数系统型都属于系统细菌(阿尔法,贝塔,伽马),蓝细菌和拟杆菌,并且主要与淡水细菌有关。 FAC分选后,可恢复总系统型的90%。系统型的32%仅出现在“活”分类部分中,21%仅出现在“死”分类部分中,46%出现在两个部分中。

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