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首页> 外文期刊>Talanta: The International Journal of Pure and Applied Analytical Chemistry >A modified weighted mixture model for the interpretation of spatial and temporal changes in the microbial communities in drinking water reservoirs using compositional phospholipid fatty acid data
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A modified weighted mixture model for the interpretation of spatial and temporal changes in the microbial communities in drinking water reservoirs using compositional phospholipid fatty acid data

机译:修改后的加权混合模型,用于使用成分磷脂脂肪酸数据解释饮用水水库中微生物群落的时空变化

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摘要

The aim of this work was to check whether a methodology based on the analysis of data that contain the entire phospholipid fatty acid, PLFA, compositions of water samples can be successfully used to interpret spatial and temporal changes in the microbial communities in water reservoirs. The proposed methodology consists of the construction of a modified weighted multivariate mixture model for the PLFA profiles of the water samples collected in a given monitoring campaign and the identification of latent PLFA components through a comparison with the known PLFA profiles of some cultivated or non-cultivated microbial communities. A 16S rDNA analysis of some of the selected water samples in the monitoring campaign was performed in order to verify the results of the PLFA analysis.
机译:这项工作的目的是检查基于包含全部磷脂脂肪酸,PLFA和水样品成分的数据分析的方法是否可以成功地用于解释水库中微生物群落的时空变化。拟议的方法包括针对给定监测活动中收集的水样品的PLFA曲线构​​建改进的加权多元混合物模型,以及通过与某些耕种或未耕种的已知PLFA曲线进行比较来识别潜在的PLFA成分。微生物群落。为了验证PLFA分析的结果,在监测活动中对一些选定的水样品进行了16S rDNA分析。

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