Literature DB >> 31704461

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

Liah X Coggins1, Irma Larma2, Amy Hinchliffe3, Ruben Props4, Anas Ghadouani5.   

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.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Characterization; Flow cytometry; Microbial communities; Waste stabilisation ponds; Wastewater

Year:  2019        PMID: 31704461     DOI: 10.1016/j.watres.2019.115243

Source DB:  PubMed          Journal:  Water Res        ISSN: 0043-1354            Impact factor:   11.236


  3 in total

Review 1.  Electrochemical and spectroelectrochemical characterization of bacteria and bacterial systems.

Authors:  Vignesh Sundaresan; Hyein Do; Joshua D Shrout; Paul W Bohn
Journal:  Analyst       Date:  2021-12-20       Impact factor: 4.616

Review 2.  Computational Analysis of Microbial Flow Cytometry Data.

Authors:  Peter Rubbens; Ruben Props
Journal:  mSystems       Date:  2021-01-19       Impact factor: 6.496

3.  Flow Cytometry and Fecal Indicator Bacteria Analyses for Fingerprinting Microbial Pollution in Karst Aquifer Systems.

Authors:  Luka Vucinic; David O'Connell; Rui Teixeira; Catherine Coxon; Laurence Gill
Journal:  Water Resour Res       Date:  2022-04-27       Impact factor: 6.159

  3 in total

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