Seawater carbonate chemistry for the transgenerational experiment on synergistic genomic mechanisms of adaptation to ocean warming and acidification in a marine copepod ...
Metazoan adaptation to global change relies on selection of standing genetic variation. Determining the extent to which this variation exists in natural populations, particularly for responses to simultaneous stressors, is essential to make accurate predictions for persistence in future conditions....
Main Authors: | , , , , , , |
---|---|
Format: | Dataset |
Language: | English |
Published: |
PANGAEA
2022
|
Subjects: | |
Online Access: | https://dx.doi.org/10.1594/pangaea.953111 https://doi.pangaea.de/10.1594/PANGAEA.953111 |
id |
ftdatacite:10.1594/pangaea.953111 |
---|---|
record_format |
openpolar |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Acartia tonsa Animalia Arthropoda Bottles or small containers/Aquaria <20 L Coast and continental shelf Gene expression incl. proteomics Laboratory experiment North Atlantic Pelagos Salinity Single species Temperate Temperature Zooplankton Type Species, unique identification Species, unique identification URI Species, unique identification Semantic URI Measurement identification Treatment temperature Treatment pH Treatment partial pressure of carbon dioxide Alkalinity, total Alkalinity, total, standard deviation Alkalinity, total, standard error Partial pressure of carbon dioxide water at sea surface temperature wet air Partial pressure of carbon dioxide, standard deviation Partial pressure of carbon dioxide water at sea surface temperature wet air, standard error Fugacity of carbon dioxide water at sea surface temperature wet air Fugacity of carbon dioxide in seawater, standard deviation Fugacity of carbon dioxide in seawater, standard error Aragonite saturation state Aragonite saturation state, standard deviation Aragonite saturation state, standard error Calcite saturation state Calcite saturation state, standard deviation Calcite saturation state, standard error Carbon, inorganic, dissolved Carbon, inorganic, dissolved, standard deviation Carbon, inorganic, dissolved, standard error Replicates Temperature, water Temperature, water, standard deviation Temperature, water, standard error pH pH, standard deviation pH, standard error Carbonate system computation flag Carbon dioxide |
spellingShingle |
Acartia tonsa Animalia Arthropoda Bottles or small containers/Aquaria <20 L Coast and continental shelf Gene expression incl. proteomics Laboratory experiment North Atlantic Pelagos Salinity Single species Temperate Temperature Zooplankton Type Species, unique identification Species, unique identification URI Species, unique identification Semantic URI Measurement identification Treatment temperature Treatment pH Treatment partial pressure of carbon dioxide Alkalinity, total Alkalinity, total, standard deviation Alkalinity, total, standard error Partial pressure of carbon dioxide water at sea surface temperature wet air Partial pressure of carbon dioxide, standard deviation Partial pressure of carbon dioxide water at sea surface temperature wet air, standard error Fugacity of carbon dioxide water at sea surface temperature wet air Fugacity of carbon dioxide in seawater, standard deviation Fugacity of carbon dioxide in seawater, standard error Aragonite saturation state Aragonite saturation state, standard deviation Aragonite saturation state, standard error Calcite saturation state Calcite saturation state, standard deviation Calcite saturation state, standard error Carbon, inorganic, dissolved Carbon, inorganic, dissolved, standard deviation Carbon, inorganic, dissolved, standard error Replicates Temperature, water Temperature, water, standard deviation Temperature, water, standard error pH pH, standard deviation pH, standard error Carbonate system computation flag Carbon dioxide Brennan, Reid S deMayo, James A Dam, H G Finiguerra, Michael B Baumann, Hannes Buffalo, Vince Pespeni, Melissa H Seawater carbonate chemistry for the transgenerational experiment on synergistic genomic mechanisms of adaptation to ocean warming and acidification in a marine copepod ... |
topic_facet |
Acartia tonsa Animalia Arthropoda Bottles or small containers/Aquaria <20 L Coast and continental shelf Gene expression incl. proteomics Laboratory experiment North Atlantic Pelagos Salinity Single species Temperate Temperature Zooplankton Type Species, unique identification Species, unique identification URI Species, unique identification Semantic URI Measurement identification Treatment temperature Treatment pH Treatment partial pressure of carbon dioxide Alkalinity, total Alkalinity, total, standard deviation Alkalinity, total, standard error Partial pressure of carbon dioxide water at sea surface temperature wet air Partial pressure of carbon dioxide, standard deviation Partial pressure of carbon dioxide water at sea surface temperature wet air, standard error Fugacity of carbon dioxide water at sea surface temperature wet air Fugacity of carbon dioxide in seawater, standard deviation Fugacity of carbon dioxide in seawater, standard error Aragonite saturation state Aragonite saturation state, standard deviation Aragonite saturation state, standard error Calcite saturation state Calcite saturation state, standard deviation Calcite saturation state, standard error Carbon, inorganic, dissolved Carbon, inorganic, dissolved, standard deviation Carbon, inorganic, dissolved, standard error Replicates Temperature, water Temperature, water, standard deviation Temperature, water, standard error pH pH, standard deviation pH, standard error Carbonate system computation flag Carbon dioxide |
description |
Metazoan adaptation to global change relies on selection of standing genetic variation. Determining the extent to which this variation exists in natural populations, particularly for responses to simultaneous stressors, is essential to make accurate predictions for persistence in future conditions. Here, we identified the genetic variation enabling the copepod Acartia tonsa to adapt to experimental ocean warming, acidification, and combined ocean warming and acidification (OWA) over 25 generations of continual selection. Replicate populations showed a consistent polygenic response to each condition, targeting an array of adaptive mechanisms including cellular homeostasis, development, and stress response. We used a genome-wide covariance approach to partition the allelic changes into three categories: selection, drift and replicate-specific selection, and laboratory adaptation responses. The majority of allele frequency change in warming (57%) and OWA (63%) was driven by shared selection pressures across ... : 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 2022-12-23. ... |
format |
Dataset |
author |
Brennan, Reid S deMayo, James A Dam, H G Finiguerra, Michael B Baumann, Hannes Buffalo, Vince Pespeni, Melissa H |
author_facet |
Brennan, Reid S deMayo, James A Dam, H G Finiguerra, Michael B Baumann, Hannes Buffalo, Vince Pespeni, Melissa H |
author_sort |
Brennan, Reid S |
title |
Seawater carbonate chemistry for the transgenerational experiment on synergistic genomic mechanisms of adaptation to ocean warming and acidification in a marine copepod ... |
title_short |
Seawater carbonate chemistry for the transgenerational experiment on synergistic genomic mechanisms of adaptation to ocean warming and acidification in a marine copepod ... |
title_full |
Seawater carbonate chemistry for the transgenerational experiment on synergistic genomic mechanisms of adaptation to ocean warming and acidification in a marine copepod ... |
title_fullStr |
Seawater carbonate chemistry for the transgenerational experiment on synergistic genomic mechanisms of adaptation to ocean warming and acidification in a marine copepod ... |
title_full_unstemmed |
Seawater carbonate chemistry for the transgenerational experiment on synergistic genomic mechanisms of adaptation to ocean warming and acidification in a marine copepod ... |
title_sort |
seawater carbonate chemistry for the transgenerational experiment on synergistic genomic mechanisms of adaptation to ocean warming and acidification in a marine copepod ... |
publisher |
PANGAEA |
publishDate |
2022 |
url |
https://dx.doi.org/10.1594/pangaea.953111 https://doi.pangaea.de/10.1594/PANGAEA.953111 |
genre |
North Atlantic Ocean acidification |
genre_facet |
North Atlantic Ocean acidification |
op_relation |
https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA590963 https://cran.r-project.org/web/packages/seacarb/index.html https://dx.doi.org/10.1073/pnas.2201521119 https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA590963 https://dx.doi.org/10.5281/zenodo.5093796 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_doi |
https://doi.org/10.1594/pangaea.95311110.1073/pnas.220152111910.5281/zenodo.5093796 |
_version_ |
1797589157573296128 |
spelling |
ftdatacite:10.1594/pangaea.953111 2024-04-28T08:31:45+00:00 Seawater carbonate chemistry for the transgenerational experiment on synergistic genomic mechanisms of adaptation to ocean warming and acidification in a marine copepod ... Brennan, Reid S deMayo, James A Dam, H G Finiguerra, Michael B Baumann, Hannes Buffalo, Vince Pespeni, Melissa H 2022 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.953111 https://doi.pangaea.de/10.1594/PANGAEA.953111 en eng PANGAEA https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA590963 https://cran.r-project.org/web/packages/seacarb/index.html https://dx.doi.org/10.1073/pnas.2201521119 https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA590963 https://dx.doi.org/10.5281/zenodo.5093796 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 Acartia tonsa Animalia Arthropoda Bottles or small containers/Aquaria <20 L Coast and continental shelf Gene expression incl. proteomics Laboratory experiment North Atlantic Pelagos Salinity Single species Temperate Temperature Zooplankton Type Species, unique identification Species, unique identification URI Species, unique identification Semantic URI Measurement identification Treatment temperature Treatment pH Treatment partial pressure of carbon dioxide Alkalinity, total Alkalinity, total, standard deviation Alkalinity, total, standard error Partial pressure of carbon dioxide water at sea surface temperature wet air Partial pressure of carbon dioxide, standard deviation Partial pressure of carbon dioxide water at sea surface temperature wet air, standard error Fugacity of carbon dioxide water at sea surface temperature wet air Fugacity of carbon dioxide in seawater, standard deviation Fugacity of carbon dioxide in seawater, standard error Aragonite saturation state Aragonite saturation state, standard deviation Aragonite saturation state, standard error Calcite saturation state Calcite saturation state, standard deviation Calcite saturation state, standard error Carbon, inorganic, dissolved Carbon, inorganic, dissolved, standard deviation Carbon, inorganic, dissolved, standard error Replicates Temperature, water Temperature, water, standard deviation Temperature, water, standard error pH pH, standard deviation pH, standard error Carbonate system computation flag Carbon dioxide dataset Dataset 2022 ftdatacite https://doi.org/10.1594/pangaea.95311110.1073/pnas.220152111910.5281/zenodo.5093796 2024-04-02T11:36:31Z Metazoan adaptation to global change relies on selection of standing genetic variation. Determining the extent to which this variation exists in natural populations, particularly for responses to simultaneous stressors, is essential to make accurate predictions for persistence in future conditions. Here, we identified the genetic variation enabling the copepod Acartia tonsa to adapt to experimental ocean warming, acidification, and combined ocean warming and acidification (OWA) over 25 generations of continual selection. Replicate populations showed a consistent polygenic response to each condition, targeting an array of adaptive mechanisms including cellular homeostasis, development, and stress response. We used a genome-wide covariance approach to partition the allelic changes into three categories: selection, drift and replicate-specific selection, and laboratory adaptation responses. The majority of allele frequency change in warming (57%) and OWA (63%) was driven by shared selection pressures across ... : 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 2022-12-23. ... Dataset North Atlantic Ocean acidification DataCite Metadata Store (German National Library of Science and Technology) |