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

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dc.contributor.authorClaveau, Leïla
dc.contributor.authorHudson, Neil
dc.contributor.authorJeffrey, Paul J.
dc.contributor.authorHassard, Francis
dc.date.accessioned2024-12-20T15:53:59Z
dc.date.available2024-12-20T15:53:59Z
dc.date.freetoread2024-12-20
dc.date.issued2024-12-20
dc.date.pubOnline2024-12-12
dc.description.abstractThis 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.
dc.description.journalNameiScience
dc.description.sponsorshipEngineering and Physical Sciences Research Council
dc.description.sponsorshipThe 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.
dc.identifier.citationClaveau 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
dc.identifier.elementsID560126
dc.identifier.issn2589-0042
dc.identifier.issueNo12
dc.identifier.paperNo111511
dc.identifier.urihttps://doi.org/10.1016/j.isci.2024.111511
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/23300
dc.identifier.volumeNo27
dc.languageEnglish
dc.language.isoen
dc.publisherElsevier
dc.publisher.urihttps://www.sciencedirect.com/science/article/pii/S258900422402738X?via%3Dihub
dc.relation.isreferencedbyhttps://doi.org/10.6084/m9.figshare.27902202
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject3107 Microbiology
dc.subject31 Biological Sciences
dc.subject6 Clean Water and Sanitation
dc.titleAssessing microbial growth in drinking water using nucleic acid content and flow cytometry fingerprinting
dc.typeArticle
dcterms.dateAccepted2024-11-28

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