A guide to methods for estimating phago-mixotrophy in nanophytoplankton

Document Type

Journal Article

Publication Title

Journal of Plankton Research

Publisher

Oxford University Press

School

Centre for Marine Ecosystems Research

RAS ID

29580

Funders

Funding information available at: https://doi.org/10.1093/plankt/fbz008

Comments

Beisner, B. E., Grossart, H.-P., & Gasol, J. M. (2019). A guide to methods for estimating phago-mixotrophy in nanophytoplankton. Journal of Plankton Research, 41(2), 77–89. Available here

Abstract

Growing attention to phytoplankton mixotrophy as a trophic strategy has led to significant revisions of traditional pelagic food web models and ecosystem functioning. Although some empirical estimates of mixotrophy do exist, a much broader set of in situ measurements are required to (i) identify which organisms are acting as mixotrophs in real time and to (ii) assess the contribution of their heterotrophy to biogeochemical cycling. Estimates are needed through time and across space to evaluate which environmental conditions or habitats favour mixotrophy: conditions still largely unknown. We review methodologies currently available to plankton ecologists to undertake estimates of plankton mixotrophy, in particular nanophytoplankton phago-mixotrophy. Methods are based largely on fluorescent or isotopic tracers, but also take advantage of genomics to identify phylotypes and function. We also suggest novel methods on the cusp of use for phago-mixotrophy assessment, including single-cell measurements improving our capacity to estimate mixotrophic activity and rates in wild plankton communities down to the single-cell level. Future methods will benefit from advances in nanotechnology, micromanipulation and microscopy combined with stable isotope and genomic methodologies. Improved estimates of mixotrophy will enable more reliable models to predict changes in food web structure and biogeochemical flows in a rapidly changing world.

DOI

10.1093/plankt/fbz008

Access Rights

free_to_read

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