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Flow-cytometric quantification of microbial cells on sand from water biofilters

Lookup NU author(s): Marta Vignola, Professor David Werner, Lianna King, Professor Russell Davenport

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

Rapid quantification of absolute microbial cell abundances is important for a comprehensive interpretation of microbiome surveys and crucial to support theoretical modelling and the design of engineered systems. In this paper, we propose a protocol specifically optimised for the quantification of microbial abundances in water biofilters using flow cytometry (FCM). We optimised cell detachment from sand biofilter particles for FCM quantification through the evaluation of five chemical dispersants (NaCl, Triton-X100, CaCl2, sodium pyrophosphate (PP), Tween 80 combined with PP), different mechanical pre-treatments (low and high energy sonication and shaking) and two fixation methods (glutaraldehyde and ethanol). The developed protocol was cross-compared using other established and commonly employed methods for biomass quantification in water filter samples (adenosine triphosphate (ATP) quantification, real-time quantitative PCR (qPCR) and volatile solids (VS)). The highest microbial count was obtained by detaching the biofilm from biofilter grains and dispersing clusters into singles cells using Tween 80 and sodium pyrophosphate combined with four steps of high energy sonication (27W, for 80 s each step); glutaraldehyde was shown to be the best fixative solution. The developed protocol was reliable and highly reproducible and produced results that are comparable to data from alternative quantification methods. Indeed, high correlations were found with trends obtained through ATP and qPCR (ρ = 0.98 and ρ = 0.91) measurements. The VS content was confirmed as an inaccurate method to express biomass in sand samples since it correlated poorly with all the other three methods (ρ = 0.005 with FCM, 0.002 with ATP and 0.177 with qPCR). FCM and ATP showed the strongest agreement between absolute counts with a slope of the correlation equal to 0.7, while qPCR seemed to overestimate cell counts by a factor of ten. The rapidity and reproducibility of the method developed make its application ideal for routine quantification of microbial cell abundances on sand from water biofilters and thus useful in revealing the ecological patterns and quantifying the metabolic kinetics involved in such systems.


Publication metadata

Author(s): Vignola M, Werner D, Hammes F, King LC, Davenport RJ

Publication type: Article

Publication status: Published

Journal: Water Research

Year: 2018

Volume: 143

Pages: 66-76

Print publication date: 15/10/2018

Online publication date: 29/05/2018

Acceptance date: 29/05/2018

Date deposited: 27/06/2018

ISSN (print): 0043-1354

ISSN (electronic): 1879-2448

Publisher: Elsevier

URL: https://doi.org/10.1016/j.watres.2018.05.053

DOI: 10.1016/j.watres.2018.05.053

Data Source Location: https://doi.org/10.17634/101925-3


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