The emergence of new technologies has enhanced the study of past and present marine ecosystems in recent years. Shell-bearing protists, i.e. unicellular eukaryotes that form preservable skeletal structures of calcite or silica, form an important part of such ecosystems. As they occur in large quantities in all oceanic settings and have an excellent preservation potential, they are an ideal resource for ecological and evolutionary studies both in the present and in deep time. Protists are an integral part of the global food network and the carbon cycle; thus, predicting their response to projected future climate change is essential for modeling ecosystem dynamics in a changing world. A detailed understanding of protist ecology and evolution is a prerequisite for these predictions. Quantifying the relationships between these organisms and their environment also provides new insights into the processes driving adaptation and extinction as a response to environmental change. The 21st century has seen the development of new tools, and improvements to existing methodologies, that together greatly increase the capacity of data production, improve instrument accuracy, and introduce new modeling approaches to harvest the possibilities of the “virtual laboratory”. This Research Topic presents a glimpse of how novel methodologies can open novel avenues in protist research.
To increase morphometric data generation of planktonic foraminifera throughput, Knappertsbusch et al. developed an automated platform for the acquisition of such data. The large datasets their method generates will help track high-resolution evolutionary patterns through geological time. To expand our knowledge of foraminifera ecology, Zarkogiannis et al. used X-ray microcomputed tomography to study the shell mass variation of species with different trophic strategies, shedding light on the impact of these tiny organisms on large-scale processes like the marine carbonate pump. Both methodologies promise to deliver intriguing information from the biometry of these calcifying protists.
Further highlighting the importance of protists for the biogeochemical cycle, Saavedra-Pellitero et al. improved the accuracy of paleoceanographic reconstructions based on coccolithophore assemblages using a new statistical model. They found different patterns of the evolution of primary productivity and sea surface temperature during the Holocene. The paper by Anschütz et al. showcased the power of numerical modeling for practical, real-world applications. They presented an ecological model of the harmful algal dinoflagellate Dinophysis, and how its population dynamics are related to two other protists (a ciliate and a cryptophyte) that are the sources of Dinophysis’ acquired phototrophy. This modeling study will greatly improve protection against harmful algal blooms in the future, as it will allow predictions of Dinophysis bloom conditions by monitoring diverse elements of a complex system that all contribute to algal bloom generation.
Studying photosymbiotic relationships in a new way, Takagi et al. used active chlorophyll fluorometry to quantify carbon assimilation rates of two photosymbiotic species of planktonic foraminifera. They identified significant differences in carbon assimilation rates between the species, hinting at the importance of species-specific symbiotic systems for the interpretation of geochemical parameters and their use for paleoenvironmental reconstructions. Similarly, LeKieffre et al. used NanoSIMS to trace the incorporation of nitrogen and sulfate into foraminiferal shells to understand the metabolic capacities of benthic foraminifera to utilize these elements. Their study is the first major step in understanding benthic foraminifera contributions to the sediment cycles of ammonium and sulfate, and their potential to colonize different marine habitats. Such improvements in geochemical methods will enable more detailed data to be gathered for habitat reconstructions and allow improved assessments of different species’ ecological backgrounds and strategies. Finally, Girard et al. explored the potential of the newly sequenced mitochondrial cytochrome oxidase subunit 1 (COI) gene in foraminifera to be used as a novel barcode to study the diversity in this group, which may allow much more rapid systematic designation in the future.
Altogether, these research studies demonstrate that protistology is a dynamic and vibrant field of research. Protists, and the application of the knowledge we can gain from them, hold great potential for answering fundamental questions in ecological and evolutionary research.
Funding
AB is funded by a NERC Large Grant (NE/P019269/1). MCR is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) through the Cluster of Excellence The Ocean Floor – Earth’s Uncharted Interface (EXC-2077, grant no. 390741603).
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Author contributions
All authors listed have made a substantial, direct, and intellectual contribution to the work and approved it for publication.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Summary
Keywords
protist, evolution, modeling, ecology, physiology, paleoceanography
Citation
Morard R, Weinkauf MFG, Brombacher A, Fenton I, Fehrenbacher J and Rillo MC (2022) Editorial: Protists as model ecological and evolutionary study systems: Emerging methodologies of the 21st century. Front. Mar. Sci. 9:1014238. doi: 10.3389/fmars.2022.1014238
Received
08 August 2022
Accepted
15 August 2022
Published
31 August 2022
Volume
9 - 2022
Edited and reviewed by
Hervé Claustre, Centre National de la Recherche Scientifique (CNRS), France
Updates
Copyright
© 2022 Morard, Weinkauf, Brombacher, Fenton, Fehrenbacher and Rillo.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Raphaël Morard, rmorard@marum.de
This article was submitted to Ocean Observation, a section of the journal Frontiers in Marine Science
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.