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....
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Language: | English |
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PANGAEA
2022
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Online Access: | https://doi.pangaea.de/10.1594/PANGAEA.953111 https://doi.org/10.1594/PANGAEA.953111 |
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ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.953111 |
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record_format |
openpolar |
institution |
Open Polar |
collection |
PANGAEA - Data Publisher for Earth & Environmental Science |
op_collection_id |
ftpangaea |
language |
English |
topic |
Acartia tonsa Alkalinity total standard deviation standard error Animalia Aragonite saturation state Arthropoda Bicarbonate ion Bottles or small containers/Aquaria (<20 L) Calcite saturation state Calculated using CO2SYS Calculated using seacarb after Nisumaa et al. (2010) Carbon inorganic dissolved Carbonate ion Carbonate system computation flag Carbon dioxide Coast and continental shelf Esker_Point_Beach Fugacity of carbon dioxide (water) at sea surface temperature (wet air) Fugacity of carbon dioxide in seawater Gene expression (incl. proteomics) Laboratory experiment Measurement identification North Atlantic |
spellingShingle |
Acartia tonsa Alkalinity total standard deviation standard error Animalia Aragonite saturation state Arthropoda Bicarbonate ion Bottles or small containers/Aquaria (<20 L) Calcite saturation state Calculated using CO2SYS Calculated using seacarb after Nisumaa et al. (2010) Carbon inorganic dissolved Carbonate ion Carbonate system computation flag Carbon dioxide Coast and continental shelf Esker_Point_Beach Fugacity of carbon dioxide (water) at sea surface temperature (wet air) Fugacity of carbon dioxide in seawater Gene expression (incl. proteomics) Laboratory experiment Measurement identification North Atlantic Brennan, Reid S deMayo, James A Dam, Hans 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 Alkalinity total standard deviation standard error Animalia Aragonite saturation state Arthropoda Bicarbonate ion Bottles or small containers/Aquaria (<20 L) Calcite saturation state Calculated using CO2SYS Calculated using seacarb after Nisumaa et al. (2010) Carbon inorganic dissolved Carbonate ion Carbonate system computation flag Carbon dioxide Coast and continental shelf Esker_Point_Beach Fugacity of carbon dioxide (water) at sea surface temperature (wet air) Fugacity of carbon dioxide in seawater Gene expression (incl. proteomics) Laboratory experiment Measurement identification North Atlantic |
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 replicates, but this effect was weaker under acidification alone (20%). OWA and warming shared 37% of their response to selection but OWA and acidification shared just 1%, indicating that warming is the dominant driver of selection in OWA. Despite the dominance of warming, the interaction with acidification was still critical as the OWA selection response was highly synergistic with 47% of the allelic selection response unique from either individual treatment. These results disentangle how genomic targets of selection differ between single and multiple stressors and demonstrate the complexity that nonadditive multiple stressors will contribute to predictions of adaptation to complex environmental shifts caused by global change. |
format |
Dataset |
author |
Brennan, Reid S deMayo, James A Dam, Hans G Finiguerra, Michael B Baumann, Hannes Buffalo, Vince Pespeni, Melissa H |
author_facet |
Brennan, Reid S deMayo, James A Dam, Hans 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://doi.pangaea.de/10.1594/PANGAEA.953111 https://doi.org/10.1594/PANGAEA.953111 |
op_coverage |
LATITUDE: 41.320725 * LONGITUDE: -72.001643 * DATE/TIME START: 2016-06-01T00:00:00 * DATE/TIME END: 2016-06-30T00:00:00 |
long_lat |
ENVELOPE(-72.001643,-72.001643,41.320725,41.320725) |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_relation |
Brennan, Reid S; deMayo, James A; Dam, Hans G; Finiguerra, Michael B; Baumann, Hannes; Buffalo, Vince; Pespeni, Melissa H (2022): Experimental evolution reveals the synergistic genomic mechanisms of adaptation to ocean warming and acidification in a marine copepod. Proceedings of the National Academy of Sciences, 119(38), e2201521119, https://doi.org/10.1073/pnas.2201521119 Acartia tonsa Raw sequence reads: experimental evolution [dataset]. https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA590963 Brennan, Reid S (2022): Acartia tonsa 25 generation experimental evolution [dataset]. Zenodo, https://doi.org/10.5281/zenodo.5093796 Gattuso, Jean-Pierre; Epitalon, Jean-Marie; Lavigne, Héloïse; Orr, James (2021): seacarb: seawater carbonate chemistry with R. R package version 3.2.16. https://cran.r-project.org/web/packages/seacarb/index.html https://doi.pangaea.de/10.1594/PANGAEA.953111 https://doi.org/10.1594/PANGAEA.953111 |
op_rights |
CC-BY-4.0: Creative Commons Attribution 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1594/PANGAEA.95311110.1073/pnas.220152111910.5281/zenodo.5093796 |
_version_ |
1810464754020384768 |
spelling |
ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.953111 2024-09-15T18:24:25+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, Hans G Finiguerra, Michael B Baumann, Hannes Buffalo, Vince Pespeni, Melissa H LATITUDE: 41.320725 * LONGITUDE: -72.001643 * DATE/TIME START: 2016-06-01T00:00:00 * DATE/TIME END: 2016-06-30T00:00:00 2022 text/tab-separated-values, 576 data points https://doi.pangaea.de/10.1594/PANGAEA.953111 https://doi.org/10.1594/PANGAEA.953111 en eng PANGAEA Brennan, Reid S; deMayo, James A; Dam, Hans G; Finiguerra, Michael B; Baumann, Hannes; Buffalo, Vince; Pespeni, Melissa H (2022): Experimental evolution reveals the synergistic genomic mechanisms of adaptation to ocean warming and acidification in a marine copepod. Proceedings of the National Academy of Sciences, 119(38), e2201521119, https://doi.org/10.1073/pnas.2201521119 Acartia tonsa Raw sequence reads: experimental evolution [dataset]. https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA590963 Brennan, Reid S (2022): Acartia tonsa 25 generation experimental evolution [dataset]. Zenodo, https://doi.org/10.5281/zenodo.5093796 Gattuso, Jean-Pierre; Epitalon, Jean-Marie; Lavigne, Héloïse; Orr, James (2021): seacarb: seawater carbonate chemistry with R. R package version 3.2.16. https://cran.r-project.org/web/packages/seacarb/index.html https://doi.pangaea.de/10.1594/PANGAEA.953111 https://doi.org/10.1594/PANGAEA.953111 CC-BY-4.0: Creative Commons Attribution 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess Acartia tonsa Alkalinity total standard deviation standard error Animalia Aragonite saturation state Arthropoda Bicarbonate ion Bottles or small containers/Aquaria (<20 L) Calcite saturation state Calculated using CO2SYS Calculated using seacarb after Nisumaa et al. (2010) Carbon inorganic dissolved Carbonate ion Carbonate system computation flag Carbon dioxide Coast and continental shelf Esker_Point_Beach Fugacity of carbon dioxide (water) at sea surface temperature (wet air) Fugacity of carbon dioxide in seawater Gene expression (incl. proteomics) Laboratory experiment Measurement identification North Atlantic dataset 2022 ftpangaea https://doi.org/10.1594/PANGAEA.95311110.1073/pnas.220152111910.5281/zenodo.5093796 2024-07-24T02:31:35Z 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 replicates, but this effect was weaker under acidification alone (20%). OWA and warming shared 37% of their response to selection but OWA and acidification shared just 1%, indicating that warming is the dominant driver of selection in OWA. Despite the dominance of warming, the interaction with acidification was still critical as the OWA selection response was highly synergistic with 47% of the allelic selection response unique from either individual treatment. These results disentangle how genomic targets of selection differ between single and multiple stressors and demonstrate the complexity that nonadditive multiple stressors will contribute to predictions of adaptation to complex environmental shifts caused by global change. Dataset North Atlantic PANGAEA - Data Publisher for Earth & Environmental Science ENVELOPE(-72.001643,-72.001643,41.320725,41.320725) |