Cellular costs underpin micronutrient limitation in phytoplankton
Data files
May 27, 2021 version files 953.13 MB
-
abc_intermediate.zip
219.26 MB
-
abc_out.zip
615.68 MB
-
coarse_diatoms_tfg_all_specific.csv
2.13 MB
-
culture_data.zip
37.65 KB
-
kleiner_data.zip
41.96 MB
-
model_growth_parameterizations.zip
23.02 KB
-
model_output.zip
2.03 MB
-
model_parameters.zip
191.55 KB
-
oceanographic_data.zip
71.77 MB
-
par_changed_name_key_with_full.csv
1.34 KB
-
par_changed_name_key.csv
402 B
-
README.txt
5.66 KB
-
variable_parameters_mn_fe20_Cohen_base.csv
917 B
-
variable_parameters_mn_fe20_Nunn_base.csv
910 B
-
variable_parameters_mn_fe20.csv
918 B
-
variable_parameters_mn_fe22_inference.csv
909 B
Abstract
Micronutrients control phytoplankton growth in the ocean, influencing carbon export and fisheries. It is currently unclear how micronutrient scarcity affects cellular processes, and how interdependence across micronutrients arises. We show that proximate causes of micronutrient growth limitation and interdependence are governed by cumulative cellular costs of acquiring and using micronutrients. Using a mechanistic proteomic allocation model of a polar diatom focused on iron and manganese, we demonstrate how cellular processes fundamentally underpin micronutrient limitation, and how they interact and compensate for each other to shape cellular elemental stoichiometry and resource interdependence. We coupled our model with metaproteomic and environmental data, yielding a novel approach for estimating biogeochemical metrics including taxon-specific growth rates. Our results show that cumulative cellular costs govern how environmental conditions modify phytoplankton growth.
Data generated using a diatom proteomic allocation model, as well as trace metal concentration data, data from GEOTRACES, and metaproteome-derived diatom proteomic observations.
Code for running analyses is found at: https://github.com/bertrand-lab/mn-fe-allocation.