%0 Journal Article
%T Phytoplankton group dynamics in the Bay of Marseilles during a 2-year survey based on analytical flow cytometry
%+ Laboratoire d'océanographie et de biogéochimie (LOB)
%A Grégori, Gérald
%A Colosimo, A
%A Denis, Michel
%< avec comité de lecture
%Z MIO:01-021
%@ 0196-4763
%J Cytometry
%I Wiley
%V 44
%N 3
%P 247-256
%8 2001-07-01
%D 2001
%R 10.1002/1097-0320(20010701)44:3<247::AID-CYTO1117>3.0.CO;2-Z
%K flow cytometry
%K microorganism monitoring
%K coastal waters
%K artificial neural network analysis
%Z Sciences of the Universe [physics]/Ocean, AtmosphereJournal articles
%X Background: The Bay of Marseilles is under the influence of a large urban concentration and its maritime activities. All of them discharge compounds (hydrocarbons, excess nutrients, heavy metals, chemicals, etc.) that can alter the marine ecosystem. To investigate whether ultraphyto- plankton ( , 10 m m) could be used as biosensors for their own ecosystem, a 2-year survey was conducted in the Bay of Marseilles. Methods: Seven stations monitored water mass and po- tential anthropic effects in the bay. Seawater samples were collected monthly or bimonthly at three depths, prefiltered, fixed, and kept in liquid nitrogen until flow cytometric analysis. Results: Five categories were created: Prochlorococcus, picoeukaryotes ( , 2 m m), nanoeukaryotes I (2- 6 m m), nanoeukaryotes II (6 -10 m m), and Synechococcus ( , 1.5 m m). Artificial neural network analysis (Kohonen self-or- ganizing maps) produced the same number of clusters as cluster analysis with Winlist software (Verity Software House). Conclusions: In addition to the wide variabilities in abun- dance and biomass, there were a strong seasonal signal and sporadic events. Lessons are derived from this study for future monitoring of marine microorganisms. Cytometry 44:247-256, 2001. © 2001 Wiley-Liss, Inc.
%G English
%L hal-00802074
%U https://hal.science/hal-00802074
%~ INSU
%~ CNRS
%~ UNIV-AMU
%~ GIP-BE
%~ LOPB
%~ ACL_CFOM