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瑞典原饮水中的细菌组成揭示了三个主要的相互作用的普遍后生群落。

Bacterial composition in Swedish raw drinking water reveals three major interacting ubiquitous metacommunities.

机构信息

CBRN Security and Defence, FOI, Swedish Defence Research Agency, Umeå, Sweden.

Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.

出版信息

Microbiologyopen. 2022 Oct;11(5):e1320. doi: 10.1002/mbo3.1320.

DOI:10.1002/mbo3.1320
PMID:36314747
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9511821/
Abstract

BACKGROUND

Surface raw water used as a source for drinking water production is a critical resource, sensitive to contamination. We conducted a study on Swedish raw water sources, aiming to identify mutually co-occurring metacommunities of bacteria, and environmental factors driving such patterns.

METHODS

The water sources were different regarding nutrient composition, water quality, and climate characteristics, and displayed various degrees of anthropogenic impact. Water inlet samples were collected at six drinking water treatment plants over 3 years, totaling 230 samples. The bacterial communities of DNA sequenced samples (n = 175), obtained by 16S metabarcoding, were analyzed using a joint model for taxa abundance.

RESULTS

Two major groups of well-defined metacommunities of microorganisms were identified, in addition to a third, less distinct, and taxonomically more diverse group. These three metacommunities showed various associations to the measured environmental data. Predictions for the well-defined metacommunities revealed differing sets of favored metabolic pathways and life strategies. In one community, taxa with methanogenic metabolism were common, while a second community was dominated by taxa with carbohydrate and lipid-focused metabolism.

CONCLUSION

The identification of ubiquitous persistent co-occurring bacterial metacommunities in freshwater habitats could potentially facilitate microbial source tracking analysis of contamination issues in freshwater sources.

摘要

背景

用作饮用水生产源头的地表原水是一种关键资源，容易受到污染。我们针对瑞典的原水水源进行了一项研究，旨在确定相互共存的细菌复合群以及驱动这些模式的环境因素。

方法

水源在养分组成、水质和气候特征方面存在差异，并显示出不同程度的人为影响。在 3 年内，我们从 6 个饮用水处理厂采集了进水样本，总计 230 个样本。通过 16S 代谢组学获得的 DNA 测序样本（n=175）的细菌群落使用分类群丰度的联合模型进行分析。

结果

除了第三组不太明显且分类上更多样化的组之外，还确定了两种主要的微生物复合群。这三个复合群与所测量的环境数据显示出不同的关联。对明确的复合群的预测揭示了不同的偏好代谢途径和生活策略。在一个群落中，常见的是具有产甲烷代谢的分类群，而另一个群落则以碳水化合物和脂质为重点代谢的分类群为主导。

结论

在淡水生境中识别普遍存在的持久共存的细菌复合群，可能有助于对淡水水源的污染问题进行微生物溯源分析。

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