Literature DB >> 25462748

Flow cytometric quantification of viruses in activated sludge.

M R Brown1, S Camézuli, R J Davenport, E Petelenz-Kurdziel, L Øvreås, T P Curtis.   

Abstract

Viruses may play a critical role in the microbial dynamics of activated sludge systems; however the difficulty of their quantification makes long term and large scale studies costly, timely and challenging. Thus a flow cytometric protocol was optimised and employed to determine virus abundance in activated sludge samples. The best flow cytometry signature and highest virus count was obtained by separating the indigenous floc-associated viruses using Tween 80 and sodium pyrophosphate, diluting the sample with Tris-EDTA and staining with SYBR Green II. Using the optimised protocol viral concentrations from 25 activated sludge plants were determined, with average concentrations of 2.35 × 10⁹ mL⁻¹ observed. Direct counts by transmission electron microscopy were highly correlated with flow cytometric counts (p = <0.05 and r² = 0.77), with concentrations from both quantification methods comparable at the order of magnitude level. The high counting efficiency, ease of preparation and rapidity and reproducibility of analysis makes flow cytometric quantification of viruses in activated sludge ideal for routine investigation and thus invaluable in unravelling the complexity of phage host interactions in such systems.

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Year:  2015        PMID: 25462748     DOI: 10.1016/j.watres.2014.10.018

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


  11 in total

1.  Flow cytometric characterization of bacterial abundance and physiological status in a nitrifying-denitrifying activated sludge system treating landfill leachate.

Authors:  Sergio Collado; Paula Oulego; Saúl Alonso; Mario Díaz
Journal:  Environ Sci Pollut Res Int       Date:  2017-07-24       Impact factor: 4.223

Review 2.  Flow virometry as a tool to study viruses.

Authors:  J Lizbeth Reyes Zamora; Hector C Aguilar
Journal:  Methods       Date:  2017-12-16       Impact factor: 3.608

3.  Validating Flow Cytometry as a Method for Quantifying Bdellovibrio Predatory Bacteria and Its Prey for Microbial Ecology.

Authors:  Ayo Ogundero; Marta Vignola; Stephanie Connelly; William T Sloan
Journal:  Microbiol Spectr       Date:  2022-02-23

4.  An Advanced Protocol for the Quantification of Marine Sediment Viruses via Flow Cytometry.

Authors:  Mara Elena Heinrichs; Daniele De Corte; Bert Engelen; Donald Pan
Journal:  Viruses       Date:  2021-01-13       Impact factor: 5.048

Review 5.  Roadmap for Managing SARS-CoV-2 and Other Viruses in the Water Environment for Public Health.

Authors:  Gang Liu; Jiuhui Qu; Joan Rose; Gertjan Medema
Journal:  Engineering (Beijing)       Date:  2021-01-20       Impact factor: 12.834

Review 6.  The Human Gut Phageome: Origins and Roles in the Human Gut Microbiome.

Authors:  Eleanor M Townsend; Lucy Kelly; George Muscatt; Joshua D Box; Nicole Hargraves; Daniel Lilley; Eleanor Jameson
Journal:  Front Cell Infect Microbiol       Date:  2021-06-04       Impact factor: 5.293

7.  Detecting Lactococcus lactis Prophages by Mitomycin C-Mediated Induction Coupled to Flow Cytometry Analysis.

Authors:  Joana Oliveira; Jennifer Mahony; Laurens Hanemaaijer; Thijs R H M Kouwen; Horst Neve; John MacSharry; Douwe van Sinderen
Journal:  Front Microbiol       Date:  2017-07-19       Impact factor: 5.640

8.  Transplanting Fecal Virus-Like Particles Reduces High-Fat Diet-Induced Small Intestinal Bacterial Overgrowth in Mice.

Authors:  Derek M Lin; Britt Koskella; Nathaniel L Ritz; Dongdong Lin; Amanda Carroll-Portillo; Henry C Lin
Journal:  Front Cell Infect Microbiol       Date:  2019-10-15       Impact factor: 5.293

9.  Ultrafiltration Process in Disinfection and Advanced Treatment of Tertiary Treated Wastewater.

Authors:  Rafał Tytus Bray; Katarzyna Jankowska; Eliza Kulbat; Aneta Łuczkiewicz; Aleksandra Sokołowska
Journal:  Membranes (Basel)       Date:  2021-03-20

Review 10.  Viral outbreaks detection and surveillance using wastewater-based epidemiology, viral air sampling, and machine learning techniques: A comprehensive review and outlook.

Authors:  Omar M Abdeldayem; Areeg M Dabbish; Mahmoud M Habashy; Mohamed K Mostafa; Mohamed Elhefnawy; Lobna Amin; Eslam G Al-Sakkari; Ahmed Ragab; Eldon R Rene
Journal:  Sci Total Environ       Date:  2021-08-21       Impact factor: 7.963

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