Recommendations for advancing mixoplankton research through empirical-model integration

Open Access
Authors
  • Nicole C. Millette
  • Suzana G. Leles
  • Matthew D. Johnson
  • Ashley E. Maloney
  • Emily F. Brownlee
  • Natalie R. Cohen
  • Solange Duhamel
  • Nicole J. Poulton
  • Sarah D. Princiotta
  • Karen Stamieszkin
  • Susanne Wilken
  • Holly V. Moeller
Publication date 05-06-2024
Journal Frontiers in Marine Science
Article number 1392673
Volume | Issue number 11
Number of pages 18
Organisations
  • Faculty of Science (FNWI) - Institute for Biodiversity and Ecosystem Dynamics (IBED)
Abstract

Protist plankton can be divided into three main groups: phytoplankton, zooplankton, and mixoplankton. In situ methods for studying phytoplankton and zooplankton are relatively straightforward since they generally target chlorophyll/photosynthesis or grazing activity, while the integration of both processes within a single cell makes mixoplankton inherently challenging to study. As a result, we understand less about mixoplankton physiology and their role in food webs, biogeochemical cycling, and ecosystems compared to phytoplankton and zooplankton. In this paper, we posit that by merging conventional techniques, such as microscopy and physiological data, with innovative methods like in situ single-cell sorting and omics datasets, in conjunction with a diverse array of modeling approaches ranging from single-cell modeling to comprehensive Earth system models, we can propel mixoplankton research into the forefront of aquatic ecology. We present eight crucial research questions pertaining to mixoplankton and mixotrophy, and briefly outline a combination of existing methods and models that can be used to address each question. Our intent is to encourage more interdisciplinary research on mixoplankton, thereby expanding the scope of data acquisition and knowledge accumulation for this understudied yet critical component of aquatic ecosystems.

Document type Review article
Language English
Published at https://doi.org/10.3389/fmars.2024.1392673
Other links https://www.scopus.com/pages/publications/85196314944
Downloads
fmars-11-1392673 (Final published version)
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