Bistability in oxidative stress response determines the migration behavior of phytoplankton in turbulence
- aInstitute for Environmental Engineering, Department of Civil, Environmental and Geomatic Engineering, ETH Zurich, 8093 Zurich, Switzerland;
- bPhysics of Living Matter, Department of Physics and Materials Science, University of Luxembourg, 1511 Luxembourg City, Grand Duchy of Luxembourg;
- cScience for Life Laboratory, Department of Environmental Toxicology, Uppsala University, 75236 Uppsala, Sweden;
- dDepartment of Plant and Environmental Sciences, Weizmann Institute of Science, 7610001 Rehovot, Israel
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Edited by Edward F. DeLong, University of Hawaii at Manoa, Honolulu, HI, and approved December 11, 2020 (received for review March 30, 2020)

Significance
Turbulence has long been known to drive phytoplankton fitness and species succession: motile species dominate in calmer environments and non-motile species in turbulent conditions. Yet a mechanistic understanding of the effect of turbulence on phytoplankton migratory behavior and physiology is lacking. By combining a method to generate turbulent cues, quantification of stress accumulation and physiology, and a mathematical model of stress dynamics, we show that motile phytoplankton use their mechanical stability to sense the intensity of turbulent cues and integrate these cues in time via stress signaling to trigger switches in migratory behavior. The stress-mediated warning strategy we discovered provides a paradigm for how phytoplankton cope with turbulence, thereby potentially governing which species will be successful in a changing ocean.
Abstract
Turbulence is an important determinant of phytoplankton physiology, often leading to cell stress and damage. Turbulence affects phytoplankton migration both by transporting cells and by triggering switches in migratory behavior, whereby vertically migrating cells can actively invert their direction of migration upon exposure to turbulent cues. However, a mechanistic link between single-cell physiology and vertical migration of phytoplankton in turbulence is currently missing. Here, by combining physiological and behavioral experiments with a mathematical model of stress accumulation and dissipation, we show that the mechanism responsible for the switch in the direction of migration in the marine raphidophyte Heterosigma akashiwo is the integration of reactive oxygen species (ROS) signaling generated by turbulent cues. Within timescales as short as tens of seconds, the emergent downward-migrating subpopulation exhibited a twofold increase in ROS, an indicator of stress, 15% lower photosynthetic efficiency, and 35% lower growth rate over multiple generations compared to the upward-migrating subpopulation. The origin of the behavioral split as a result of a bistable oxidative stress response is corroborated by the observation that exposure of cells to exogenous stressors (H2O2, UV-A radiation, or high irradiance), in lieu of turbulence, caused comparable ROS accumulation and an equivalent split into the two subpopulations. By providing a mechanistic link between the single-cell mechanics of swimming and physiology on the one side and the emergent population-scale migratory response and impact on fitness on the other, the ROS-mediated early warning response we discovered contributes to our understanding of phytoplankton community composition in future ocean conditions.
Footnotes
↵1F.C. and A.S. contributed equally to this work.
- ↵2To whom correspondence may be addressed. Email: anupam.sengupta{at}uni.lu or romanstocker{at}ethz.ch.
Author contributions: F.C., A.S., L.B., A.V., and R.S. designed research; F.C., A.S., and L.B. performed research; F.C., A.S., and L.B. analyzed data; and F.C., A.S., L.B., A.V., and R.S. wrote the paper.
The authors declare no competing interest.
This article is a PNAS Direct Submission.
This article contains supporting information online at https://www.pnas.org/lookup/suppl/doi:10.1073/pnas.2005944118/-/DCSupplemental.
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All study data are included in the article and/or SI Appendix.
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March 19, 2021: The license for this article has been updated.
- Copyright © 2021 the Author(s). Published by PNAS.
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