Monitoring natural phytoplankton communities: a comparison between traditional methods and pulse-shape recording flow cytometry

L. Haraguchi*, H. H. Jakobsen, Nina Lundholm, J. Carstensen

*Corresponding author for this work
    8 Citations (Scopus)

    Abstract

    The phytoplankton community can vary within hours (physiology) to years (climatic and anthropogenic responses), and monitoring at different timescales is relevant for understanding community functioning and assessing changes. However, standard techniques used in monitoring programmes are time-consuming and/or expensive, limiting sampling frequency. The use of faster methods, such as flow cytometry, has become more frequent in phytoplankton studies, although comparisons between this technique and traditional ones are still scarce. This study aimed to assess if natural phytoplankton communities analysed with pulse-shape recording flow cytometry (PFCM) and classical techniques (chl a extracts and microscopy) provide comparable results. Monthly samples (March to September 2015) from 4 stations in Roskilde Fjord (Denmark) were analysed with PFCM and classical techniques. Results showed a highly significant correlation between total red fluorescence and chl a, and comparable cell counts from PFCM and microscopy for cell sizes > 5 μm, but not for sizes < 5 μm. We propose an empirical algorithm to obtain cell volumes from the integrated forward scatter signal from PFCM, making it possible to estimate carbon biomass with PFCM, applying the same conversion factors as for microscopy. Biomasses obtained with PFCM, estimated from live cells, were higher than microscopy for natural samples. We conclude that PFCM results are comparable to classical techniques, yet the data from PFCM had poor taxonomic resolution without support of other techniques. With the faster analysis capacity of PFCM, post-processing of data and analysis of high-resolution time series may be made easier.

    Original languageEnglish
    JournalAquatic Microbial Ecology
    Volume80
    Issue number1
    Pages (from-to)77-92
    Number of pages16
    ISSN0948-3055
    DOIs
    Publication statusPublished - 2017

    Keywords

    • Biomass
    • Microscopy
    • Monitoring
    • Phytoplankton
    • Pulse-shape recording flow cytometry
    • Timescale

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