Frontiers in Marine Science (Nov 2022)
Interoperable vocabulary for marine microbial flow cytometry
- Melilotus Thyssen,
- Gérald Grégori,
- Véronique Créach,
- Soumaya Lahbib,
- Mathilde Dugenne,
- Hedy M. Aardema,
- Luis-Felipe Artigas,
- Bangqin Huang,
- Aude Barani,
- Laureen Beaugeard,
- Amel Bellaaj-Zouari,
- Alfred Beran,
- Raffaella Casotti,
- Yolanda Del Amo,
- Michel Denis,
- George B.J. Dubelaar,
- Sonja Endres,
- Lumi Haraguchi,
- Bengt Karlson,
- Christophe Lambert,
- Arnaud Louchart,
- Dominique Marie,
- Gwenaëlle Moncoiffé,
- David Pecqueur,
- François Ribalet,
- Machteld Rijkeboer,
- Tina Silovic,
- Ricardo Silva,
- Sophie Marro,
- Heidi M. Sosik,
- Marc Sourisseau,
- Glen Tarran,
- Nicolas Van Oostende,
- Li Zhao,
- Shan Zheng
Affiliations
- Melilotus Thyssen
- Aix Marseille Université, Université de Toulon, CNRS, IRD, MIO, Marseille, France
- Gérald Grégori
- Aix Marseille Université, Université de Toulon, CNRS, IRD, MIO, Marseille, France
- Véronique Créach
- Centre for Environment, Fisheries and Aquaculture, Lowestoft, United Kingdom
- Soumaya Lahbib
- Aix Marseille Université, Université de Toulon, CNRS, IRD, MIO, Marseille, France
- Mathilde Dugenne
- Sorbonne Université, CNRS, UMR 7093, Laboratoire d’Océanographie de Villefranche-sur-Mer (LOV), Villefranche-sur-Mer, France
- Hedy M. Aardema
- Department of Climate Geochemistry, Max Plank Institute for Chemistry, Mainz, Germany
- Luis-Felipe Artigas
- Université du Littoral Côte d’Opale, Université de Lille, IRD, CNRS, UMR 8187, LOG, Laboratoire d’Océanologie et de Géosciences, Wimereux, France
- Bangqin Huang
- National Observation and Research Station for the Taiwan Strait Marine Ecosystem, State Key Laboratory of Marine Environmental Science, Xiamen University, Xiamen, China
- Aude Barani
- Aix Marseille Université, Université de Toulon, CNRS, IRD, MIO, Marseille, France
- Laureen Beaugeard
- Laboratoire LIENSs Littoral, Environnement et Sociétés, UMR 7266 Université de La Rochelle - CNRS, La Rochelle, France
- Amel Bellaaj-Zouari
- Institut National des Sciences et Technologies de la Mer, INSTM, Salammbô, Tunisia
- Alfred Beran
- Physical Oceanography Group, National Institute of Oceanography and Applied Geophysics – OGS, Trieste, Italy
- Raffaella Casotti
- 0Stazione Zoologica Anton Dohrn, Department of Integrative Marine Ecology, Napoli, Italy
- Yolanda Del Amo
- 1Université de Bordeaux-CNRS, UMR 5805, Environnement"s et Paléoenvironnements Océaniques et Continentaux (EPOC), Arcachon, France
- Michel Denis
- Aix Marseille Université, Université de Toulon, CNRS, IRD, MIO, Marseille, France
- George B.J. Dubelaar
- 2Cytobuoy b.v., Woerden, Netherlands
- Sonja Endres
- 3Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Project Polarstern II, Bremerhaven, Germany
- Lumi Haraguchi
- 4Marine Research Centre, Finnish Environment Institute, Helsinki, Finland
- Bengt Karlson
- 5Swedish Meteorological and Hydrological Institute, Oceanographic Research, Västra Frölunda, Sweden
- Christophe Lambert
- 6CNRS, Univ Brest, IRD, Ifremer, LEMAR, Plouzane, France
- Arnaud Louchart
- Université du Littoral Côte d’Opale, Université de Lille, IRD, CNRS, UMR 8187, LOG, Laboratoire d’Océanologie et de Géosciences, Wimereux, France
- Dominique Marie
- 7Sorbonne University, UPMC Univ Paris 06, CNRS, UMR 7144, Roscoff, France
- Gwenaëlle Moncoiffé
- 8National Oceanography Centre, British Oceanographic Data Centre, Liverpool, United Kingdom
- David Pecqueur
- 9Sorbonne Université, CNRS, Observatoire Océanologique de Banyuls s/mer, Banyuls sur Mer, France
- François Ribalet
- 0School of Oceanography, University of Washington, Seattle, WA, United States
- Machteld Rijkeboer
- 1Laboratory for Hydrobiological Analysis, Rijkswaterstaat (RWS), Lelystad, Netherlands
- Tina Silovic
- 2Mercator Ocean International, Ramonville Saint - Agne, France
- Ricardo Silva
- 3Instituto Nacional de Investigación y Desarrollo Pesquero (INIDEP), Buenos Aires, Argentina
- Sophie Marro
- Sorbonne Université, CNRS, UMR 7093, Laboratoire d’Océanographie de Villefranche-sur-Mer (LOV), Villefranche-sur-Mer, France
- Heidi M. Sosik
- 4Biology Department, Woods Hole Oceanographic Institution, Biology Department, Woods Hole, MA, United States
- Marc Sourisseau
- 5IFREMER, DYNECO, Pelagos Laboratory, Plouzané, France
- Glen Tarran
- 6Plymouth Marine Laboratory, Plymouth, United Kingdom
- Nicolas Van Oostende
- 7Department of Geosciences, Princeton University, Princeton, NJ, United States
- Li Zhao
- 8Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Shan Zheng
- 8Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- DOI
- https://doi.org/10.3389/fmars.2022.975877
- Journal volume & issue
-
Vol. 9
Abstract
The recent development of biological sensors has extended marine plankton studies from conducting laboratory bench work to in vivo and real-time observations. Flow cytometry (FCM) has shed new light on marine microorganisms since the 1980s through its single-cell approach and robust detection of the smallest cells. FCM records valuable optical properties of light scattering and fluorescence from cells passing in a single file in front of a narrow-collimated light source, recording tens of thousands of cells within a few minutes. Depending on the instrument settings, the sampling strategy, and the automation level, it resolves the spatial and temporal distribution of microbial marine prokaryotes and eukaryotes. Cells are usually classified and grouped on cytograms by experts and are still lacking standards, reducing data sharing capacities. Therefore, the need to make FCM data sets FAIR (Findability, Accessibility, Interoperability, and Reusability of digital assets) is becoming critical. In this paper, we present a consensus vocabulary for the 13 most common marine microbial groups observed with FCM using blue and red-light excitation. The authors designed a common layout on two-dimensional log-transformed cytograms reinforced by a decision tree that facilitates the characterization of groups. The proposed vocabulary aims at standardising data analysis and definitions, to promote harmonisation and comparison of data between users and instruments. This represents a much-needed step towards FAIRification of flow cytometric data collected in various marine environments.
Keywords
- flow cytometry
- marine microorganisms
- standardization
- vocabulary
- FAIR principle interoperable vocabulary for marine flow cytometry