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Enumerating viable phytoplankton using a culture-based Most Probable Number assay following ultraviolet-C treatment

Ballast water management systems (BWMS) must be tested to assess their compliance with standards for the discharge of organisms, for example in the ≥ 10- and < 50-μm size category, which is dominated by phytoplankton. Assessment of BWMS performance with the vital stains fluorescein diacetate + 5-...

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Autores principales: MacIntyre, Hugh L., Cullen, John J., Whitsitt, Trina J., Petri, Brian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5928191/
https://www.ncbi.nlm.nih.gov/pubmed/29755205
http://dx.doi.org/10.1007/s10811-017-1254-8
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author MacIntyre, Hugh L.
Cullen, John J.
Whitsitt, Trina J.
Petri, Brian
author_facet MacIntyre, Hugh L.
Cullen, John J.
Whitsitt, Trina J.
Petri, Brian
author_sort MacIntyre, Hugh L.
collection PubMed
description Ballast water management systems (BWMS) must be tested to assess their compliance with standards for the discharge of organisms, for example in the ≥ 10- and < 50-μm size category, which is dominated by phytoplankton. Assessment of BWMS performance with the vital stains fluorescein diacetate + 5-chlorofluorescein diacetate, required by regulations in the USA, is problematic in the case of ultraviolet-C (UVC) radiation. This is because UVC targets nucleotides—and thus reproduction, hence viability—rather than membrane integrity, which is assayed by the stains. The Serial Dilution Culture-Most Probable Number (SDC-MPN) method, long used to enumerate fragile phytoplankton from natural communities, is appropriate for counting viable phytoplankton. We developed QA/QC “best practice” criteria for its application as a robust and repeatable assay of viable cells in cultures of phytoplankton before and after experimental treatment, then constructed dose-response curves for UVC-induced loss of viable cells in 12 species of phytoplankton from seven divisions. Sensitivity to UVC, expressed as the dose required to reduce viability by 99%—the criterion for type approval of treatment systems—varied more than 10-fold and was not correlated with cell size. The form of the dose-response curves varied between taxa, with most having a threshold dose below which there was no reduction in viability. Analysis of the patterns of growth indicates that if recovery from treatment occurred, it was complete in 1 or 2 days in > 80% of cases, long before the assays were terminated. We conclude that the SDC-MPN assay as described is robust and adaptable for use on natural phytoplankton.
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spelling pubmed-59281912018-05-09 Enumerating viable phytoplankton using a culture-based Most Probable Number assay following ultraviolet-C treatment MacIntyre, Hugh L. Cullen, John J. Whitsitt, Trina J. Petri, Brian J Appl Phycol Article Ballast water management systems (BWMS) must be tested to assess their compliance with standards for the discharge of organisms, for example in the ≥ 10- and < 50-μm size category, which is dominated by phytoplankton. Assessment of BWMS performance with the vital stains fluorescein diacetate + 5-chlorofluorescein diacetate, required by regulations in the USA, is problematic in the case of ultraviolet-C (UVC) radiation. This is because UVC targets nucleotides—and thus reproduction, hence viability—rather than membrane integrity, which is assayed by the stains. The Serial Dilution Culture-Most Probable Number (SDC-MPN) method, long used to enumerate fragile phytoplankton from natural communities, is appropriate for counting viable phytoplankton. We developed QA/QC “best practice” criteria for its application as a robust and repeatable assay of viable cells in cultures of phytoplankton before and after experimental treatment, then constructed dose-response curves for UVC-induced loss of viable cells in 12 species of phytoplankton from seven divisions. Sensitivity to UVC, expressed as the dose required to reduce viability by 99%—the criterion for type approval of treatment systems—varied more than 10-fold and was not correlated with cell size. The form of the dose-response curves varied between taxa, with most having a threshold dose below which there was no reduction in viability. Analysis of the patterns of growth indicates that if recovery from treatment occurred, it was complete in 1 or 2 days in > 80% of cases, long before the assays were terminated. We conclude that the SDC-MPN assay as described is robust and adaptable for use on natural phytoplankton. Springer Netherlands 2017-09-25 2018 /pmc/articles/PMC5928191/ /pubmed/29755205 http://dx.doi.org/10.1007/s10811-017-1254-8 Text en © The Author(s) 2017 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Article
MacIntyre, Hugh L.
Cullen, John J.
Whitsitt, Trina J.
Petri, Brian
Enumerating viable phytoplankton using a culture-based Most Probable Number assay following ultraviolet-C treatment
title Enumerating viable phytoplankton using a culture-based Most Probable Number assay following ultraviolet-C treatment
title_full Enumerating viable phytoplankton using a culture-based Most Probable Number assay following ultraviolet-C treatment
title_fullStr Enumerating viable phytoplankton using a culture-based Most Probable Number assay following ultraviolet-C treatment
title_full_unstemmed Enumerating viable phytoplankton using a culture-based Most Probable Number assay following ultraviolet-C treatment
title_short Enumerating viable phytoplankton using a culture-based Most Probable Number assay following ultraviolet-C treatment
title_sort enumerating viable phytoplankton using a culture-based most probable number assay following ultraviolet-c treatment
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5928191/
https://www.ncbi.nlm.nih.gov/pubmed/29755205
http://dx.doi.org/10.1007/s10811-017-1254-8
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