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  • 1
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    PANGAEA
    In:  Supplement to: Wolf, Klara K E; Hoppe, Clara Jule Marie; Rost, Björn; John, Uwe; Collins, Sinéad; Romanelli, Elisa; Weigand, Hannah (2019): Company matters: The presence of other genotypes alters traits and intraspecific selection in an Arctic diatom under climate change. Global Change Biology, 25(9), 2869-2884, https://doi.org/10.1111/gcb.14675
    Publication Date: 2023-12-02
    Description: 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 multi-strain cultures. We were able to closely follow intraspecific selection within an artificial population in a 2-week experiment using microsatellites and allele-specific quantitative PCR. Our results show that there is substantial variation in how strains of the same species cope physiologically with the tested environments. Although highly reproducible within treatments, changes in genotype composition, production rates and cellular quotas in the multi-strain cultures differed from monoculture performance. Interestingly, we only detected significant strain sorting in those populations exposed to the future treatment. We show that individuals adjust their phenotype not only in response to their physico-chemical, but also to their biological surroundings.
    Type: Dataset
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, 58.6 kBytes
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2024-05-27
    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 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.
    Keywords: 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 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 transfer 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 International Coordination Centre; Ochrophyta; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Particulate organic carbon, production, standard deviation; Pelagos; pH; pH, standard deviation; 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
    Type: Dataset
    Format: text/tab-separated-values, 939 data points
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  • 3
    Publication Date: 2019-07-05
    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 an Arctic diatom population diverge and whether the physiology and intraspecific composition of multi-strain populations differ 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 multi-strain 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 show 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 multi-strain 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 physico-chemical, but also to their biological surroundings. Such intraspecific interactions need to be understood in order to realistically predict ecosystem responses to global change.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , peerRev
    Format: application/pdf
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