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流式细胞术快速表征稳定塘中微生物群落动态。

Flow cytometry for rapid characterisation of microbial community dynamics in waste stabilisation ponds.

机构信息

Department of of Civil, Environmental and Mining Engineering, The University of Western Australia, 35 Stirling Highway, M051, Crawley, 6009, Western Australia, Australia.

Centre for Microscopy, Characterisation and Analysis, The University of Western Australia, 35 Stirling Highway, M519, Crawley, 6009, Western Australia, Australia.

出版信息

Water Res. 2020 Feb 1;169:115243. doi: 10.1016/j.watres.2019.115243. Epub 2019 Oct 31.

DOI:10.1016/j.watres.2019.115243
PMID:31704461
Abstract

Algal and bacterial communities play a major role in the treatment performance and efficiency of waste stabilisation ponds (WSPs); however, the study of these WSP microbial communities has been challenging. Flow cytometry (FCM) has been used widely as a rapid, culture-independent method of characterising algae and/or bacteria in a range of freshwater and marine environments, and in conventional wastewater treatment processes, but its application to WSP wastewater has been underexplored. In this study, a method for the characterisation of both algal and bacterial microbial populations in WSP wastewater is presented and standardised, using cultures and field samples. We show that SYTO 16 dye is more effective than SYBR Green I for the concurrent detection of both algae and bacteria in samples. Through gating and phenotypic diversity analysis, the FCM results show both spatial and temporal shifts in pond microbial communities. The ability to rapidly determine the spatiotemporal shifts in pond populations is not only important for the improvement of pond operation and monitoring strategies, but also for the planning and management. Flow cytometry has the potential to become a diagnostic tool for ponds to assess treatment performance and determine the most optimal operating conditions.

摘要

藻类和细菌群落在废水稳定塘(WSP)的处理性能和效率中起着重要作用;然而,这些 WSP 微生物群落的研究一直具有挑战性。流式细胞术(FCM)已广泛用于快速、非培养的方法来描述一系列淡水和海洋环境以及传统废水处理过程中的藻类和/或细菌,但其在 WSP 废水中的应用尚未得到充分探索。在这项研究中,提出并标准化了一种使用培养物和现场样本描述 WSP 废水中藻类和细菌微生物种群的方法。我们表明,SYTO 16 染料比 SYBR Green I 更有效地同时检测样品中的藻类和细菌。通过门控和表型多样性分析,FCM 结果显示池塘微生物群落存在空间和时间上的变化。快速确定池塘种群的时空变化不仅对改进池塘操作和监测策略很重要,而且对规划和管理也很重要。流式细胞术有可能成为评估池塘处理性能和确定最佳运行条件的诊断工具。

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