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| Main Authors: | , , , , , , |
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| Format: | Dataset Open Access |
| Language: | en |
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PANGAEA
2019
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| Online Access: | https://doi.org/10.1594/PANGAEA.913498 |
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| _version_ | 1867169137940234240 |
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| 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 |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | 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 multistrain cultures are not predictable from monoculture performance. Nevertheless, the physiological responses as well as strain composition of the artificial populations were highly reproducible within each environment. Interestingly, we only detected significant strain sorting in those populations exposed to the future treatment. This study illustrates that the genetic composition of populations can change on very short timescales through selection from the intraspecific standing stock, indicating the potential for rapid population level adaptation to climate change. We further show that individuals adjust their phenotype not only in response to their physicochemical but also to their biological surroundings. Such intraspecific interactions need to be understood in order to realistically predict ecosystem responses to global change. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_913498 |
| institution | PANGAEA |
| language | en |
| publishDate | 2019 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | 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 Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Arctic; Bicarbonate ion; Biomass/Abundance/Elemental composition; Bottles or small containers/Aquaria (<20 L); Bulk division rate; Bulk division rate, standard deviation; Calcite saturation state; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, organic, particulate, per cell; Carbon, organic, particulate, production, standard deviation; Carbon, organic, particulate, production per cell; Carbon, organic, particulate, standard deviation; Carbon, organic, particulate/Chlorophyll a ratio; Carbon, organic, particulate/Chlorophyll a ratio, standard deviation; Carbon/Nitrogen ratio; Carbon/Nitrogen ratio, standard deviation; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Chlorophyll a, standard deviation; Chlorophyll a per cell; Chromista; Coast and continental shelf; Contribution; Contribution, standard deviation; EXP; Experiment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Growth rate; Growth rate, standard deviation; Irradiance; Irradiance, standard deviation; KongsfjordenOA; Laboratory experiment; Maximal absolute electron transport rate; Maximal electron transport rate, standard deviation; Maximum light use efficiency; Maximum light utilization coefficient in carbon per chlorophyll a, standard deviation; OA-ICC; Ocean acidification; Ocean Acidification International Coordination Centre; Ochrophyta; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH, NBS scale; pH, standard deviation; pH, total scale; Phytoplankton; Polar; Potentiometric; Potentiometric titration; Primary production/Photosynthesis; Registration number of species; Salinity; Single species; Species; Strain; Temperature; Temperature, water; Thalassiosira hyalina; Treatment; Type; Uniform resource locator/link to reference 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 multistrain cultures are not predictable from monoculture performance. Nevertheless, the physiological responses as well as strain composition of the artificial populations were highly reproducible within each environment. Interestingly, we only detected significant strain sorting in those populations exposed to the future treatment. This study illustrates that the genetic composition of populations can change on very short timescales through selection from the intraspecific standing stock, indicating the potential for rapid population level adaptation to climate change. We further show that individuals adjust their phenotype not only in response to their physicochemical but also to their biological surroundings. Such intraspecific interactions need to be understood in order to realistically predict ecosystem responses to global change. |
| title | Seawater carbonate chemistry and growth, production rates, and cellular composition of Arctic diatom |
| topic | Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Arctic; Bicarbonate ion; Biomass/Abundance/Elemental composition; Bottles or small containers/Aquaria (<20 L); Bulk division rate; Bulk division rate, standard deviation; Calcite saturation state; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, organic, particulate, per cell; Carbon, organic, particulate, production, standard deviation; Carbon, organic, particulate, production per cell; Carbon, organic, particulate, standard deviation; Carbon, organic, particulate/Chlorophyll a ratio; Carbon, organic, particulate/Chlorophyll a ratio, standard deviation; Carbon/Nitrogen ratio; Carbon/Nitrogen ratio, standard deviation; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Chlorophyll a, standard deviation; Chlorophyll a per cell; Chromista; Coast and continental shelf; Contribution; Contribution, standard deviation; EXP; Experiment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Growth rate; Growth rate, standard deviation; Irradiance; Irradiance, standard deviation; KongsfjordenOA; Laboratory experiment; Maximal absolute electron transport rate; Maximal electron transport rate, standard deviation; Maximum light use efficiency; Maximum light utilization coefficient in carbon per chlorophyll a, standard deviation; OA-ICC; Ocean acidification; Ocean Acidification International Coordination Centre; Ochrophyta; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH, NBS scale; pH, standard deviation; pH, total scale; Phytoplankton; Polar; Potentiometric; Potentiometric titration; Primary production/Photosynthesis; Registration number of species; Salinity; Single species; Species; Strain; Temperature; Temperature, water; Thalassiosira hyalina; Treatment; Type; Uniform resource locator/link to reference |
| url | https://doi.org/10.1594/PANGAEA.913498 |