Seawater carbonate chemistry and biochemical composition of the coccolithophore Emiliania huxleyi
Owing to the hierarchical organization of biology, from genomes over transcriptomes and proteomes down to metabolomes, there is continuous debate about the extent to which data and interpretations derived from one level, e.g. the transcriptome, are in agreement with other levels, e.g. the metabolome...
Main Authors: | , , , , , , , , , , |
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Format: | Dataset |
Language: | English |
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PANGAEA - Data Publisher for Earth & Environmental Science
2019
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Online Access: | https://dx.doi.org/10.1594/pangaea.913444 https://doi.pangaea.de/10.1594/PANGAEA.913444 |
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ftdatacite:10.1594/pangaea.913444 |
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openpolar |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Biomass/Abundance/Elemental composition Bottles or small containers/Aquaria <20 L Chromista Emiliania huxleyi Growth/Morphology Haptophyta Laboratory experiment Laboratory strains Light Not applicable Pelagos Phytoplankton Single species Type Species Registration number of species Uniform resource locator/link to reference Treatment Alkenones Alkenones, standard deviation Temperature, water Temperature, water, standard deviation Growth rate Growth rate, standard deviation Cell, diameter Cell, diameter, standard deviation Name Category Concentration Concentration, standard deviation Salinity pH pH, standard deviation Partial pressure of carbon dioxide water at sea surface temperature wet air Partial pressure of carbon dioxide, standard deviation Alkalinity, total Alkalinity, total, standard deviation Carbon, inorganic, dissolved Carbon, inorganic, dissolved, standard deviation Bicarbonate ion Bicarbonate ion, standard deviation Carbonate ion Carbonate ion, standard deviation Carbonate system computation flag Carbon dioxide Fugacity of carbon dioxide water at sea surface temperature wet air Aragonite saturation state Calcite saturation state Calculated using CO2SYS Calculated using seacarb after Nisumaa et al. 2010 Ocean Acidification International Coordination Centre OA-ICC |
spellingShingle |
Biomass/Abundance/Elemental composition Bottles or small containers/Aquaria <20 L Chromista Emiliania huxleyi Growth/Morphology Haptophyta Laboratory experiment Laboratory strains Light Not applicable Pelagos Phytoplankton Single species Type Species Registration number of species Uniform resource locator/link to reference Treatment Alkenones Alkenones, standard deviation Temperature, water Temperature, water, standard deviation Growth rate Growth rate, standard deviation Cell, diameter Cell, diameter, standard deviation Name Category Concentration Concentration, standard deviation Salinity pH pH, standard deviation Partial pressure of carbon dioxide water at sea surface temperature wet air Partial pressure of carbon dioxide, standard deviation Alkalinity, total Alkalinity, total, standard deviation Carbon, inorganic, dissolved Carbon, inorganic, dissolved, standard deviation Bicarbonate ion Bicarbonate ion, standard deviation Carbonate ion Carbonate ion, standard deviation Carbonate system computation flag Carbon dioxide Fugacity of carbon dioxide water at sea surface temperature wet air Aragonite saturation state Calcite saturation state Calculated using CO2SYS Calculated using seacarb after Nisumaa et al. 2010 Ocean Acidification International Coordination Centre OA-ICC Heidenreich, Elena Wördenweber, Robin Kirschhöfer, Frank Nusser, Michael Friedrich, Frank Fahl, Kirsten Kruse, Olaf Rost, Björn Franzreb, Matthias Brenner-Weiß, Gerald Rokitta, Sebastian D Seawater carbonate chemistry and biochemical composition of the coccolithophore Emiliania huxleyi |
topic_facet |
Biomass/Abundance/Elemental composition Bottles or small containers/Aquaria <20 L Chromista Emiliania huxleyi Growth/Morphology Haptophyta Laboratory experiment Laboratory strains Light Not applicable Pelagos Phytoplankton Single species Type Species Registration number of species Uniform resource locator/link to reference Treatment Alkenones Alkenones, standard deviation Temperature, water Temperature, water, standard deviation Growth rate Growth rate, standard deviation Cell, diameter Cell, diameter, standard deviation Name Category Concentration Concentration, standard deviation Salinity pH pH, standard deviation Partial pressure of carbon dioxide water at sea surface temperature wet air Partial pressure of carbon dioxide, standard deviation Alkalinity, total Alkalinity, total, standard deviation Carbon, inorganic, dissolved Carbon, inorganic, dissolved, standard deviation Bicarbonate ion Bicarbonate ion, standard deviation Carbonate ion Carbonate ion, standard deviation Carbonate system computation flag Carbon dioxide Fugacity of carbon dioxide water at sea surface temperature wet air Aragonite saturation state Calcite saturation state Calculated using CO2SYS Calculated using seacarb after Nisumaa et al. 2010 Ocean Acidification International Coordination Centre OA-ICC |
description |
Owing to the hierarchical organization of biology, from genomes over transcriptomes and proteomes down to metabolomes, there is continuous debate about the extent to which data and interpretations derived from one level, e.g. the transcriptome, are in agreement with other levels, e.g. the metabolome. Here, we tested the effect of ocean acidification (OA; 400 vs. 1000 μatm CO2) and its modulation by light intensity (50 vs. 300 μmol photons m-2 s-1) on the biomass composition (represented by 75 key metabolites) of diploid and haploid life-cycle stages of the coccolithophore Emiliania huxleyi (RCC1216 and RCC1217) and compared these data with interpretations from previous physiological and gene expression screenings. The metabolite patterns showed minor responses to OA in both life-cycle stages. Whereas previous gene expression analyses suggested that the observed increased biomass buildup derived from lipid and carbohydrate storage, this dataset suggests that OA slightly increases overall biomass of cells, but does not significantly alter their metabolite composition. Generally, light was shown to be a more dominant driver of metabolite composition than OA, increasing the relative abundances of amino acids, mannitol and storage lipids, and shifting pigment contents to accommodate increased irradiance levels. The diploid stage was shown to contain vastly more osmolytes and mannitol than the haploid stage, which in turn had a higher relative content of amino acids, especially aromatic ones. Besides the differences between the investigated cell types and the general effects on biomass buildup, our analyses indicate that OA imposes only negligible effects on E. huxleyi's biomass composition. : In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2019) 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 2020-03-06. |
format |
Dataset |
author |
Heidenreich, Elena Wördenweber, Robin Kirschhöfer, Frank Nusser, Michael Friedrich, Frank Fahl, Kirsten Kruse, Olaf Rost, Björn Franzreb, Matthias Brenner-Weiß, Gerald Rokitta, Sebastian D |
author_facet |
Heidenreich, Elena Wördenweber, Robin Kirschhöfer, Frank Nusser, Michael Friedrich, Frank Fahl, Kirsten Kruse, Olaf Rost, Björn Franzreb, Matthias Brenner-Weiß, Gerald Rokitta, Sebastian D |
author_sort |
Heidenreich, Elena |
title |
Seawater carbonate chemistry and biochemical composition of the coccolithophore Emiliania huxleyi |
title_short |
Seawater carbonate chemistry and biochemical composition of the coccolithophore Emiliania huxleyi |
title_full |
Seawater carbonate chemistry and biochemical composition of the coccolithophore Emiliania huxleyi |
title_fullStr |
Seawater carbonate chemistry and biochemical composition of the coccolithophore Emiliania huxleyi |
title_full_unstemmed |
Seawater carbonate chemistry and biochemical composition of the coccolithophore Emiliania huxleyi |
title_sort |
seawater carbonate chemistry and biochemical composition of the coccolithophore emiliania huxleyi |
publisher |
PANGAEA - Data Publisher for Earth & Environmental Science |
publishDate |
2019 |
url |
https://dx.doi.org/10.1594/pangaea.913444 https://doi.pangaea.de/10.1594/PANGAEA.913444 |
genre |
Ocean acidification |
genre_facet |
Ocean acidification |
op_relation |
https://CRAN.R-project.org/package=seacarb https://dx.doi.org/10.1371/journal.pone.0218564 https://CRAN.R-project.org/package=seacarb |
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.913444 https://doi.org/10.1371/journal.pone.0218564 |
_version_ |
1766157852601221120 |
spelling |
ftdatacite:10.1594/pangaea.913444 2023-05-15T17:50:55+02:00 Seawater carbonate chemistry and biochemical composition of the coccolithophore Emiliania huxleyi Heidenreich, Elena Wördenweber, Robin Kirschhöfer, Frank Nusser, Michael Friedrich, Frank Fahl, Kirsten Kruse, Olaf Rost, Björn Franzreb, Matthias Brenner-Weiß, Gerald Rokitta, Sebastian D 2019 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.913444 https://doi.pangaea.de/10.1594/PANGAEA.913444 en eng PANGAEA - Data Publisher for Earth & Environmental Science https://CRAN.R-project.org/package=seacarb https://dx.doi.org/10.1371/journal.pone.0218564 https://CRAN.R-project.org/package=seacarb Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY Biomass/Abundance/Elemental composition Bottles or small containers/Aquaria <20 L Chromista Emiliania huxleyi Growth/Morphology Haptophyta Laboratory experiment Laboratory strains Light Not applicable Pelagos Phytoplankton Single species Type Species Registration number of species Uniform resource locator/link to reference Treatment Alkenones Alkenones, standard deviation Temperature, water Temperature, water, standard deviation Growth rate Growth rate, standard deviation Cell, diameter Cell, diameter, standard deviation Name Category Concentration Concentration, standard deviation Salinity pH pH, standard deviation Partial pressure of carbon dioxide water at sea surface temperature wet air Partial pressure of carbon dioxide, standard deviation Alkalinity, total Alkalinity, total, standard deviation Carbon, inorganic, dissolved Carbon, inorganic, dissolved, standard deviation Bicarbonate ion Bicarbonate ion, standard deviation Carbonate ion Carbonate ion, standard deviation Carbonate system computation flag Carbon dioxide Fugacity of carbon dioxide water at sea surface temperature wet air Aragonite saturation state Calcite saturation state Calculated using CO2SYS Calculated using seacarb after Nisumaa et al. 2010 Ocean Acidification International Coordination Centre OA-ICC dataset Dataset 2019 ftdatacite https://doi.org/10.1594/pangaea.913444 https://doi.org/10.1371/journal.pone.0218564 2022-02-08T16:27:35Z Owing to the hierarchical organization of biology, from genomes over transcriptomes and proteomes down to metabolomes, there is continuous debate about the extent to which data and interpretations derived from one level, e.g. the transcriptome, are in agreement with other levels, e.g. the metabolome. Here, we tested the effect of ocean acidification (OA; 400 vs. 1000 μatm CO2) and its modulation by light intensity (50 vs. 300 μmol photons m-2 s-1) on the biomass composition (represented by 75 key metabolites) of diploid and haploid life-cycle stages of the coccolithophore Emiliania huxleyi (RCC1216 and RCC1217) and compared these data with interpretations from previous physiological and gene expression screenings. The metabolite patterns showed minor responses to OA in both life-cycle stages. Whereas previous gene expression analyses suggested that the observed increased biomass buildup derived from lipid and carbohydrate storage, this dataset suggests that OA slightly increases overall biomass of cells, but does not significantly alter their metabolite composition. Generally, light was shown to be a more dominant driver of metabolite composition than OA, increasing the relative abundances of amino acids, mannitol and storage lipids, and shifting pigment contents to accommodate increased irradiance levels. The diploid stage was shown to contain vastly more osmolytes and mannitol than the haploid stage, which in turn had a higher relative content of amino acids, especially aromatic ones. Besides the differences between the investigated cell types and the general effects on biomass buildup, our analyses indicate that OA imposes only negligible effects on E. huxleyi's biomass composition. : In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2019) 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 2020-03-06. Dataset Ocean acidification DataCite Metadata Store (German National Library of Science and Technology) |