Literature DB >> 20221799

Phytoplankton distribution during two contrasted summers in a Mediterranean harbour: combining automated submersible flow cytometry with conventional techniques.

Melilotus Thyssen1, Beatriz Beker, Dilek Ediger, Doruk Yilmaz, Nicole Garcia, Michel Denis.   

Abstract

Automated in situ flow cytometry, high-pressure liquid chromatography (HPLC), optical microscopy and fluorometry were combined to monitor phytoplankton over two summer periods (2005 and 2006). In 2006, temperature was higher and nutrients lower than in 2005, generating differences in the phytoplankton assemblages (i.e., abundance and structure). Pigment-size classes based on daily HPLC analysis provided evidence for higher proportions of picoplankton and nanoplankton with higher biomass in 2005 and a dominance of microplankton with lower biomass in 2006, the latter with lower specific diversity, as evidenced by weekly microscopy analyses. Total chlorophyll a estimations from fluorometry measurements recorded every 30 min were higher in 2005 than in 2006, as for the HPLC chlorophyll a concentrations. An automated in situ flow cytometer (Thyssen et al., J Plankton Res 30(9):1027-1040, 2008a) sampled seawater every 30 min. Data analysis yielded the resolution of seven clusters based on light scatter and fluorescence. In 2006, an increase in abundance of the largest cells was observed, confirming pigment and microscopy data. The results suggest that the ecosystem was on a constant renewing process in summer 2005 due to a strong wind event and on a highly productive and recycling way in summer 2006 due to stratification of the upper water layer. Automated submersible flow cytometry confirms to be a powerful tool providing high-resolution data by monitoring phytoplankton at the single cell level. This technology gives access to the shape of the light scatter and fluorescence signals generated by each cell passing through a laser beam and that are linked to size, structure and pigment content of the target cell. When combined with conventional techniques, it further improves our understanding of phytoplankton assemblages.

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Year:  2010        PMID: 20221799     DOI: 10.1007/s10661-010-1365-z

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  4 in total

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Authors:  G B Dubelaar; P L Gerritzen; A E Beeker; R R Jonker; K Tangen
Journal:  Cytometry       Date:  1999-12-01

2.  High frequency monitoring reveals phytoplankton dynamics.

Authors:  George B J Dubelaar; Paul J F Geerders; Richard R Jonker
Journal:  J Environ Monit       Date:  2004-11-15

3.  Extreme spatial variability in marine picoplankton and its consequences for interpreting Eulerian time-series.

Authors:  Adrian P Martin; Mikhail V Zubkov; Peter H Burkill; Ross J Holland
Journal:  Biol Lett       Date:  2005-09-22       Impact factor: 3.703

4.  Coherent sign switching in multiyear trends of microbial plankton.

Authors:  William K W Li; W Glen Harrison; Erica J H Head
Journal:  Science       Date:  2006-02-24       Impact factor: 47.728

  4 in total
  2 in total

Review 1.  Opportunities and challenges in deriving phytoplankton diversity measures from individual trait-based data obtained by scanning flow-cytometry.

Authors:  Simone Fontana; Jukka Jokela; Francesco Pomati
Journal:  Front Microbiol       Date:  2014-07-01       Impact factor: 5.640

2.  Consequence of a sudden wind event on the dynamics of a coastal phytoplankton community: an insight into specific population growth rates using a single cell high frequency approach.

Authors:  Mathilde Dugenne; Melilotus Thyssen; David Nerini; Claude Mante; Jean-Christophe Poggiale; Nicole Garcia; Fabrice Garcia; Gérald J Grégori
Journal:  Front Microbiol       Date:  2014-09-15       Impact factor: 5.640

  2 in total

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