Seawater carbonate chemistry and growth, production rates, and cellular composition of Arctic diatom ...

Arctic phytoplankton and their response to future conditions shape one of the most rapidly changing ecosystems on the planet. We tested how much the phenotypic responses of strains from the same Arctic diatom population diverge and whether the physiology and intraspecific composition of multistrain...

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Main Authors: Wolf, Klara K E, Romanelli, Elisa, Rost, Björn, John, Uwe, Collins, Sinéad, Weigand, Hannah, Hoppe, Clara Jule Marie
Format: Dataset
Language:English
Published: PANGAEA 2019
Subjects:
pH
Online Access:https://dx.doi.org/10.1594/pangaea.913498
https://doi.pangaea.de/10.1594/PANGAEA.913498
id ftdatacite:10.1594/pangaea.913498
record_format openpolar
spelling ftdatacite:10.1594/pangaea.913498 2024-09-09T19:22:32+00:00 Seawater carbonate chemistry and growth, production rates, and cellular composition of Arctic diatom ... Wolf, Klara K E Romanelli, Elisa Rost, Björn John, Uwe Collins, Sinéad Weigand, Hannah Hoppe, Clara Jule Marie 2019 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.913498 https://doi.pangaea.de/10.1594/PANGAEA.913498 en eng PANGAEA https://CRAN.R-project.org/package=seacarb https://dx.doi.org/10.1111/gcb.14675 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 Arctic Biomass/Abundance/Elemental composition Bottles or small containers/Aquaria <20 L Chromista Coast and continental shelf Growth/Morphology Laboratory experiment Ochrophyta Pelagos Phytoplankton Polar Primary production/Photosynthesis Single species Temperature Thalassiosira hyalina Type Species Registration number of species Uniform resource locator/link to reference Strain Treatment Growth rate Growth rate, standard deviation Contribution Contribution, standard deviation Bulk division rate Bulk division rate, standard deviation Carbon, organic, particulate, per cell Carbon, organic, particulate, standard deviation Carbon, organic, particulate, production per cell Particulate organic carbon, production, standard deviation Chlorophyll a per cell Chlorophyll a, standard deviation Carbon/Nitrogen ratio Carbon/Nitrogen ratio, standard deviation Carbon, organic, particulate/chlorophyll a ratio Carbon, organic, particulate/chlorophyll a ratio, standard deviation Maximum light use efficiency Maximum light utilization coefficient in carbon per chlorophyll a, standard deviation Maximal absolute electron transfer rate Maximal electron transport rate, standard deviation Irradiance Irradiance, standard deviation Salinity Temperature, water Partial pressure of carbon dioxide water at sea surface temperature wet air Partial pressure of carbon dioxide, standard deviation pH pH, standard deviation Alkalinity, total dataset Dataset 2019 ftdatacite https://doi.org/10.1594/pangaea.91349810.1111/gcb.14675 2024-06-17T10:47:13Z Arctic phytoplankton and their response to future conditions shape one of the most rapidly changing ecosystems on the planet. We tested how much the phenotypic responses of strains from the same Arctic diatom population diverge and whether the physiology and intraspecific composition of multistrain populations differs from expectations based on single strain traits. To this end, we conducted incubation experiments with the diatom Thalassiosira hyalina under present‐day and future temperature and pCO2 treatments. Six fresh isolates from the same Svalbard population were incubated as mono‐ and multistrain cultures. For the first time, we were able to closely follow intraspecific selection within an artificial population using microsatellites and allele‐specific quantitative PCR. Our results showed not only that there is substantial variation in how strains of the same species cope with the tested environments but also that changes in genotype composition, production rates, and cellular quotas in the ... : 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 Arctic Ocean acidification Phytoplankton Svalbard DataCite Arctic Svalbard
institution Open Polar
collection DataCite
op_collection_id ftdatacite
language English
topic Arctic
Biomass/Abundance/Elemental composition
Bottles or small containers/Aquaria <20 L
Chromista
Coast and continental shelf
Growth/Morphology
Laboratory experiment
Ochrophyta
Pelagos
Phytoplankton
Polar
Primary production/Photosynthesis
Single species
Temperature
Thalassiosira hyalina
Type
Species
Registration number of species
Uniform resource locator/link to reference
Strain
Treatment
Growth rate
Growth rate, standard deviation
Contribution
Contribution, standard deviation
Bulk division rate
Bulk division rate, standard deviation
Carbon, organic, particulate, per cell
Carbon, organic, particulate, standard deviation
Carbon, organic, particulate, production per cell
Particulate organic carbon, production, standard deviation
Chlorophyll a per cell
Chlorophyll a, standard deviation
Carbon/Nitrogen ratio
Carbon/Nitrogen ratio, standard deviation
Carbon, organic, particulate/chlorophyll a ratio
Carbon, organic, particulate/chlorophyll a ratio, standard deviation
Maximum light use efficiency
Maximum light utilization coefficient in carbon per chlorophyll a, standard deviation
Maximal absolute electron transfer rate
Maximal electron transport rate, standard deviation
Irradiance
Irradiance, standard deviation
Salinity
Temperature, water
Partial pressure of carbon dioxide water at sea surface temperature wet air
Partial pressure of carbon dioxide, standard deviation
pH
pH, standard deviation
Alkalinity, total
spellingShingle Arctic
Biomass/Abundance/Elemental composition
Bottles or small containers/Aquaria <20 L
Chromista
Coast and continental shelf
Growth/Morphology
Laboratory experiment
Ochrophyta
Pelagos
Phytoplankton
Polar
Primary production/Photosynthesis
Single species
Temperature
Thalassiosira hyalina
Type
Species
Registration number of species
Uniform resource locator/link to reference
Strain
Treatment
Growth rate
Growth rate, standard deviation
Contribution
Contribution, standard deviation
Bulk division rate
Bulk division rate, standard deviation
Carbon, organic, particulate, per cell
Carbon, organic, particulate, standard deviation
Carbon, organic, particulate, production per cell
Particulate organic carbon, production, standard deviation
Chlorophyll a per cell
Chlorophyll a, standard deviation
Carbon/Nitrogen ratio
Carbon/Nitrogen ratio, standard deviation
Carbon, organic, particulate/chlorophyll a ratio
Carbon, organic, particulate/chlorophyll a ratio, standard deviation
Maximum light use efficiency
Maximum light utilization coefficient in carbon per chlorophyll a, standard deviation
Maximal absolute electron transfer rate
Maximal electron transport rate, standard deviation
Irradiance
Irradiance, standard deviation
Salinity
Temperature, water
Partial pressure of carbon dioxide water at sea surface temperature wet air
Partial pressure of carbon dioxide, standard deviation
pH
pH, standard deviation
Alkalinity, total
Wolf, Klara K E
Romanelli, Elisa
Rost, Björn
John, Uwe
Collins, Sinéad
Weigand, Hannah
Hoppe, Clara Jule Marie
Seawater carbonate chemistry and growth, production rates, and cellular composition of Arctic diatom ...
topic_facet Arctic
Biomass/Abundance/Elemental composition
Bottles or small containers/Aquaria <20 L
Chromista
Coast and continental shelf
Growth/Morphology
Laboratory experiment
Ochrophyta
Pelagos
Phytoplankton
Polar
Primary production/Photosynthesis
Single species
Temperature
Thalassiosira hyalina
Type
Species
Registration number of species
Uniform resource locator/link to reference
Strain
Treatment
Growth rate
Growth rate, standard deviation
Contribution
Contribution, standard deviation
Bulk division rate
Bulk division rate, standard deviation
Carbon, organic, particulate, per cell
Carbon, organic, particulate, standard deviation
Carbon, organic, particulate, production per cell
Particulate organic carbon, production, standard deviation
Chlorophyll a per cell
Chlorophyll a, standard deviation
Carbon/Nitrogen ratio
Carbon/Nitrogen ratio, standard deviation
Carbon, organic, particulate/chlorophyll a ratio
Carbon, organic, particulate/chlorophyll a ratio, standard deviation
Maximum light use efficiency
Maximum light utilization coefficient in carbon per chlorophyll a, standard deviation
Maximal absolute electron transfer rate
Maximal electron transport rate, standard deviation
Irradiance
Irradiance, standard deviation
Salinity
Temperature, water
Partial pressure of carbon dioxide water at sea surface temperature wet air
Partial pressure of carbon dioxide, standard deviation
pH
pH, standard deviation
Alkalinity, total
description Arctic phytoplankton and their response to future conditions shape one of the most rapidly changing ecosystems on the planet. We tested how much the phenotypic responses of strains from the same Arctic diatom population diverge and whether the physiology and intraspecific composition of multistrain populations differs from expectations based on single strain traits. To this end, we conducted incubation experiments with the diatom Thalassiosira hyalina under present‐day and future temperature and pCO2 treatments. Six fresh isolates from the same Svalbard population were incubated as mono‐ and multistrain cultures. For the first time, we were able to closely follow intraspecific selection within an artificial population using microsatellites and allele‐specific quantitative PCR. Our results showed not only that there is substantial variation in how strains of the same species cope with the tested environments but also that changes in genotype composition, production rates, and cellular quotas in the ... : 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 Wolf, Klara K E
Romanelli, Elisa
Rost, Björn
John, Uwe
Collins, Sinéad
Weigand, Hannah
Hoppe, Clara Jule Marie
author_facet Wolf, Klara K E
Romanelli, Elisa
Rost, Björn
John, Uwe
Collins, Sinéad
Weigand, Hannah
Hoppe, Clara Jule Marie
author_sort Wolf, Klara K E
title Seawater carbonate chemistry and growth, production rates, and cellular composition of Arctic diatom ...
title_short Seawater carbonate chemistry and growth, production rates, and cellular composition of Arctic diatom ...
title_full Seawater carbonate chemistry and growth, production rates, and cellular composition of Arctic diatom ...
title_fullStr Seawater carbonate chemistry and growth, production rates, and cellular composition of Arctic diatom ...
title_full_unstemmed Seawater carbonate chemistry and growth, production rates, and cellular composition of Arctic diatom ...
title_sort seawater carbonate chemistry and growth, production rates, and cellular composition of arctic diatom ...
publisher PANGAEA
publishDate 2019
url https://dx.doi.org/10.1594/pangaea.913498
https://doi.pangaea.de/10.1594/PANGAEA.913498
geographic Arctic
Svalbard
geographic_facet Arctic
Svalbard
genre Arctic
Ocean acidification
Phytoplankton
Svalbard
genre_facet Arctic
Ocean acidification
Phytoplankton
Svalbard
op_relation https://CRAN.R-project.org/package=seacarb
https://dx.doi.org/10.1111/gcb.14675
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_doi https://doi.org/10.1594/pangaea.91349810.1111/gcb.14675
_version_ 1809762830238351360