Seawater carbonate chemistry and growth of Prochlorococcus and Synechococcus strains

Anthropogenic CO2 emissions are projected to lower the pH of the ocean 0.3 units by 2100. Previous studies suggested that Prochlorococcus and Synechococcus, the numerically dominant phytoplankton in the oceans, have different responses to elevated CO2 that may result in a dramatic shift in their rel...

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Bibliographic Details
Main Authors: Knight, Margaret A, Morris, J Jeffrey
Format: Dataset
Language:English
Published: PANGAEA - Data Publisher for Earth & Environmental Science 2020
Subjects:
pH
Online Access:https://dx.doi.org/10.1594/pangaea.930555
https://doi.pangaea.de/10.1594/PANGAEA.930555
id ftdatacite:10.1594/pangaea.930555
record_format openpolar
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic Bacteria
Biomass/Abundance/Elemental composition
Bottles or small containers/Aquaria <20 L
Cyanobacteria
Growth/Morphology
Laboratory experiment
Laboratory strains
Not applicable
Pelagos
Phytoplankton
Prochlorococcus sp.
Species interaction
Synechococcus sp.
Type
Figure
Experiment
Species
Strain
Identification
Treatment
Replicates
Comment
Time in days
Cell density
Growth rate
Frequency
Fitness
Salinity
Temperature, water
Alkalinity, total
pH
pH, standard deviation
Partial pressure of carbon dioxide water at sea surface temperature wet air
Carbonate system computation flag
Carbon dioxide
Carbon dioxide, standard deviation
Fugacity of carbon dioxide water at sea surface temperature wet air
Fugacity of carbon dioxide in seawater, standard deviation
Partial pressure of carbon dioxide, standard deviation
Bicarbonate ion
Bicarbonate ion, standard deviation
Carbonate ion
Carbonate ion, standard deviation
Carbon, inorganic, dissolved
Carbon, inorganic, dissolved, standard deviation
Aragonite saturation state
Aragonite saturation state, standard deviation
Calcite saturation state
Calcite saturation state, standard deviation
Potentiometric titration
Potentiometric
Calculated using seacarb
Calculated using seacarb after Nisumaa et al. 2010
Calculated using seacarb after Orr et al. 2018
Ocean Acidification International Coordination Centre OA-ICC
spellingShingle Bacteria
Biomass/Abundance/Elemental composition
Bottles or small containers/Aquaria <20 L
Cyanobacteria
Growth/Morphology
Laboratory experiment
Laboratory strains
Not applicable
Pelagos
Phytoplankton
Prochlorococcus sp.
Species interaction
Synechococcus sp.
Type
Figure
Experiment
Species
Strain
Identification
Treatment
Replicates
Comment
Time in days
Cell density
Growth rate
Frequency
Fitness
Salinity
Temperature, water
Alkalinity, total
pH
pH, standard deviation
Partial pressure of carbon dioxide water at sea surface temperature wet air
Carbonate system computation flag
Carbon dioxide
Carbon dioxide, standard deviation
Fugacity of carbon dioxide water at sea surface temperature wet air
Fugacity of carbon dioxide in seawater, standard deviation
Partial pressure of carbon dioxide, standard deviation
Bicarbonate ion
Bicarbonate ion, standard deviation
Carbonate ion
Carbonate ion, standard deviation
Carbon, inorganic, dissolved
Carbon, inorganic, dissolved, standard deviation
Aragonite saturation state
Aragonite saturation state, standard deviation
Calcite saturation state
Calcite saturation state, standard deviation
Potentiometric titration
Potentiometric
Calculated using seacarb
Calculated using seacarb after Nisumaa et al. 2010
Calculated using seacarb after Orr et al. 2018
Ocean Acidification International Coordination Centre OA-ICC
Knight, Margaret A
Morris, J Jeffrey
Seawater carbonate chemistry and growth of Prochlorococcus and Synechococcus strains
topic_facet Bacteria
Biomass/Abundance/Elemental composition
Bottles or small containers/Aquaria <20 L
Cyanobacteria
Growth/Morphology
Laboratory experiment
Laboratory strains
Not applicable
Pelagos
Phytoplankton
Prochlorococcus sp.
Species interaction
Synechococcus sp.
Type
Figure
Experiment
Species
Strain
Identification
Treatment
Replicates
Comment
Time in days
Cell density
Growth rate
Frequency
Fitness
Salinity
Temperature, water
Alkalinity, total
pH
pH, standard deviation
Partial pressure of carbon dioxide water at sea surface temperature wet air
Carbonate system computation flag
Carbon dioxide
Carbon dioxide, standard deviation
Fugacity of carbon dioxide water at sea surface temperature wet air
Fugacity of carbon dioxide in seawater, standard deviation
Partial pressure of carbon dioxide, standard deviation
Bicarbonate ion
Bicarbonate ion, standard deviation
Carbonate ion
Carbonate ion, standard deviation
Carbon, inorganic, dissolved
Carbon, inorganic, dissolved, standard deviation
Aragonite saturation state
Aragonite saturation state, standard deviation
Calcite saturation state
Calcite saturation state, standard deviation
Potentiometric titration
Potentiometric
Calculated using seacarb
Calculated using seacarb after Nisumaa et al. 2010
Calculated using seacarb after Orr et al. 2018
Ocean Acidification International Coordination Centre OA-ICC
description Anthropogenic CO2 emissions are projected to lower the pH of the ocean 0.3 units by 2100. Previous studies suggested that Prochlorococcus and Synechococcus, the numerically dominant phytoplankton in the oceans, have different responses to elevated CO2 that may result in a dramatic shift in their relative abundances in future oceans. Here we showed that the exponential growth rates of these two genera respond to future CO2 conditions in a manner similar to other cyanobacteria, but Prochlorococcus strains had significantly lower realized growth rates under elevated CO2 regimes due to poor survival after exposure to fresh culture media. Despite this, a Synechococcus strain was unable to outcompete a Prochlorococcus strain in co‐culture at elevated CO2. Under these conditions, Prochlorococcus' poor response to elevated CO2 disappeared, and Prochlorococcus' relative fitness showed negative frequency dependence, with both competitors having significant fitness advantages when initially rare. These experiments suggested that the two strains should be able to co‐exist indefinitely in co‐culture despite sharing nearly identical nutritional requirements. We speculate that negative frequency dependence exists due to reductive Black Queen evolution that has resulted in a passively mutualistic relationship analogous to that connecting Prochlorococcus with the “helper” heterotrophic microbes in its environment. : In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2021) was used to compute a complete and consistent set of carbonate system variables, as described by Nisumaa et al. (2010). In this dataset the original values were archived in addition with the recalculated parameters (see related PI). The date of carbonate chemistry calculation by seacarb is 2021-04-19.
format Dataset
author Knight, Margaret A
Morris, J Jeffrey
author_facet Knight, Margaret A
Morris, J Jeffrey
author_sort Knight, Margaret A
title Seawater carbonate chemistry and growth of Prochlorococcus and Synechococcus strains
title_short Seawater carbonate chemistry and growth of Prochlorococcus and Synechococcus strains
title_full Seawater carbonate chemistry and growth of Prochlorococcus and Synechococcus strains
title_fullStr Seawater carbonate chemistry and growth of Prochlorococcus and Synechococcus strains
title_full_unstemmed Seawater carbonate chemistry and growth of Prochlorococcus and Synechococcus strains
title_sort seawater carbonate chemistry and growth of prochlorococcus and synechococcus strains
publisher PANGAEA - Data Publisher for Earth & Environmental Science
publishDate 2020
url https://dx.doi.org/10.1594/pangaea.930555
https://doi.pangaea.de/10.1594/PANGAEA.930555
genre Ocean acidification
genre_facet Ocean acidification
op_relation https://cran.r-project.org/web/packages/seacarb/index.html
https://dx.doi.org/10.1111/1462-2920.15277
https://dx.doi.org/10.26008/1912/bco-dmo.839925.1
https://cran.r-project.org/web/packages/seacarb/index.html
op_rights Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.1594/pangaea.930555
https://doi.org/10.1111/1462-2920.15277
https://doi.org/10.26008/1912/bco-dmo.839925.1
_version_ 1766158474226434048
spelling ftdatacite:10.1594/pangaea.930555 2023-05-15T17:51:21+02:00 Seawater carbonate chemistry and growth of Prochlorococcus and Synechococcus strains Knight, Margaret A Morris, J Jeffrey 2020 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.930555 https://doi.pangaea.de/10.1594/PANGAEA.930555 en eng PANGAEA - Data Publisher for Earth & Environmental Science https://cran.r-project.org/web/packages/seacarb/index.html https://dx.doi.org/10.1111/1462-2920.15277 https://dx.doi.org/10.26008/1912/bco-dmo.839925.1 https://cran.r-project.org/web/packages/seacarb/index.html Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY Bacteria Biomass/Abundance/Elemental composition Bottles or small containers/Aquaria <20 L Cyanobacteria Growth/Morphology Laboratory experiment Laboratory strains Not applicable Pelagos Phytoplankton Prochlorococcus sp. Species interaction Synechococcus sp. Type Figure Experiment Species Strain Identification Treatment Replicates Comment Time in days Cell density Growth rate Frequency Fitness Salinity Temperature, water Alkalinity, total pH pH, standard deviation Partial pressure of carbon dioxide water at sea surface temperature wet air Carbonate system computation flag Carbon dioxide Carbon dioxide, standard deviation Fugacity of carbon dioxide water at sea surface temperature wet air Fugacity of carbon dioxide in seawater, standard deviation Partial pressure of carbon dioxide, standard deviation Bicarbonate ion Bicarbonate ion, standard deviation Carbonate ion Carbonate ion, standard deviation Carbon, inorganic, dissolved Carbon, inorganic, dissolved, standard deviation Aragonite saturation state Aragonite saturation state, standard deviation Calcite saturation state Calcite saturation state, standard deviation Potentiometric titration Potentiometric Calculated using seacarb Calculated using seacarb after Nisumaa et al. 2010 Calculated using seacarb after Orr et al. 2018 Ocean Acidification International Coordination Centre OA-ICC dataset Dataset 2020 ftdatacite https://doi.org/10.1594/pangaea.930555 https://doi.org/10.1111/1462-2920.15277 https://doi.org/10.26008/1912/bco-dmo.839925.1 2022-02-08T16:27:35Z Anthropogenic CO2 emissions are projected to lower the pH of the ocean 0.3 units by 2100. Previous studies suggested that Prochlorococcus and Synechococcus, the numerically dominant phytoplankton in the oceans, have different responses to elevated CO2 that may result in a dramatic shift in their relative abundances in future oceans. Here we showed that the exponential growth rates of these two genera respond to future CO2 conditions in a manner similar to other cyanobacteria, but Prochlorococcus strains had significantly lower realized growth rates under elevated CO2 regimes due to poor survival after exposure to fresh culture media. Despite this, a Synechococcus strain was unable to outcompete a Prochlorococcus strain in co‐culture at elevated CO2. Under these conditions, Prochlorococcus' poor response to elevated CO2 disappeared, and Prochlorococcus' relative fitness showed negative frequency dependence, with both competitors having significant fitness advantages when initially rare. These experiments suggested that the two strains should be able to co‐exist indefinitely in co‐culture despite sharing nearly identical nutritional requirements. We speculate that negative frequency dependence exists due to reductive Black Queen evolution that has resulted in a passively mutualistic relationship analogous to that connecting Prochlorococcus with the “helper” heterotrophic microbes in its environment. : In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2021) was used to compute a complete and consistent set of carbonate system variables, as described by Nisumaa et al. (2010). In this dataset the original values were archived in addition with the recalculated parameters (see related PI). The date of carbonate chemistry calculation by seacarb is 2021-04-19. Dataset Ocean acidification DataCite Metadata Store (German National Library of Science and Technology)