Assessing microbial growth in drinking water using nucleic acid content and flow cytometry fingerprinting

Date published

2024-12-20

Free to read from

2024-12-20

Supervisor/s

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier

Department

Type

Article

ISSN

2589-0042

Format

Citation

Claveau L, Hudson N, Jeffrey P, Hassard F. (2024) Assessing microbial growth in drinking water using nucleic acid content and flow cytometry fingerprinting. iScience, Volume 27, Issue 12, December 2024, Article number 111511

Abstract

This study utilizes flow cytometry (FCM) to evaluate the high nucleic acid (HNA) and low nucleic acid (LNA) content of intact cells for monitoring bacterial dynamics in drinking water treatment and supply systems. Our findings indicate that chlorine and nutrients differently impact components of bacterial populations. HNA bacteria, characterized by high metabolic rates, quickly react to nutrient alterations, making them suitable indicators of growth under varying water treatment and supply conditions. Conversely, LNA bacteria adapt to environments with stable, slowly degradable organics, reflecting distinct physiological characteristics. Changes in water treatment and supply conditions, such as chlorine dosing and nutrient inputs, significantly impact the ratio between HNA and LNA. FCM fingerprinting combined with cluster analysis provides a more sensitive evaluation of water quality by capturing a broader range of microbial characteristics compared to using only HNA/LNA ratios. This work advocates for multi-parameter data analysis to advance monitoring techniques for water treatment and supply processes.

Description

Software Description

Software Language

Github

Keywords

3107 Microbiology, 31 Biological Sciences, 6 Clean Water and Sanitation

DOI

Rights

Attribution 4.0 International

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Resources

Funder/s

Engineering and Physical Sciences Research Council
The UK Engineering and Physical Sciences Research Council (EPSRC) and South East Water funded the work through an Engineering Doctoral Training Award (grant number: EP/L015412/1) to L.C.