Seawater carbonate chemistry and genetic diversity of juvenile yellowtail kingfish (Seriola lalandi) ...

Estimating the heritability and genotype by environment (GxE) interactions of performance-related traits (e.g., growth, survival, reproduction) under future ocean conditions is necessary for inferring the adaptive potential of marine species to climate change. To date, no studies have used quantitat...

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Main Authors: Munday, Philip L, Schunter, Celia, Allan, Bridie J M, Nicol, Simon, Parsons, Darren M, Pether, Stephen M J, Pope, Stephen, Ravasi, Timothy, Setiawan, Alvin N, Smith, Neville, Domingos, Jose A
Format: Dataset
Language:English
Published: PANGAEA 2023
Subjects:
pH
Online Access:https://dx.doi.org/10.1594/pangaea.959709
https://doi.pangaea.de/10.1594/PANGAEA.959709
id ftdatacite:10.1594/pangaea.959709
record_format openpolar
spelling ftdatacite:10.1594/pangaea.959709 2024-04-28T08:34:51+00:00 Seawater carbonate chemistry and genetic diversity of juvenile yellowtail kingfish (Seriola lalandi) ... Munday, Philip L Schunter, Celia Allan, Bridie J M Nicol, Simon Parsons, Darren M Pether, Stephen M J Pope, Stephen Ravasi, Timothy Setiawan, Alvin N Smith, Neville Domingos, Jose A 2023 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.959709 https://doi.pangaea.de/10.1594/PANGAEA.959709 en eng PANGAEA https://cran.r-project.org/web/packages/seacarb/index.html https://dx.doi.org/10.3389/fevo.2019.00253 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 Animalia Chordata Containers and aquaria 20-1000 L or < 1 m**2 Gene expression incl. proteomics Laboratory experiment Laboratory strains Nekton Not applicable Pelagos Seriola lalandi Single species Temperature Type of study Species, unique identification Species, unique identification URI Species, unique identification Semantic URI Identification Time in days Treatment Locus Number Shannon Diversity Index Heterozygosity Temperature, water Temperature, water, standard deviation Salinity Salinity, standard deviation pH pH, standard deviation Alkalinity, total Alkalinity, total, standard deviation Partial pressure of carbon dioxide water at sea surface temperature wet air Partial pressure of carbon dioxide, standard deviation Carbonate system computation flag Carbon dioxide Carbon dioxide, standard deviation Fugacity of carbon dioxide water at sea surface temperature wet air Fugacity of carbon dioxide in seawater, standard deviation Bicarbonate ion Bicarbonate ion, standard deviation Carbonate ion Carbonate ion, standard deviation Carbon, inorganic, dissolved Carbon, inorganic, dissolved, standard deviation Aragonite saturation state Aragonite saturation state, standard deviation Calcite saturation state Calcite saturation state, standard deviation Calculated using seacarb after Nisumaa et al. 2010 Calculated using seacarb after Orr et al. 2018 dataset Dataset 2023 ftdatacite https://doi.org/10.1594/pangaea.95970910.3389/fevo.2019.00253 2024-04-02T11:36:31Z Estimating the heritability and genotype by environment (GxE) interactions of performance-related traits (e.g., growth, survival, reproduction) under future ocean conditions is necessary for inferring the adaptive potential of marine species to climate change. To date, no studies have used quantitative genetics techniques to test the adaptive potential of large pelagic fishes to the combined effects of elevated water temperature and ocean acidification. We used an experimental approach to test for heritability and GxE interactions in morphological traits of juvenile yellowtail kingfish, Seriola lalandi, under current-day and predicted future ocean conditions. We also tracked the fate of genetic diversity among treatments over the experimental period to test for selection favoring some genotypes over others under elevated temperature and CO2. Specifically, we reared kingfish to 21 days post hatching (dph) in a fully crossed 2 × 2 experimental design comprising current-day average summer temperature (21°C) and ... : In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2022) 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 2023-06-08. ... Dataset Ocean acidification DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic Animalia
Chordata
Containers and aquaria 20-1000 L or < 1 m**2
Gene expression incl. proteomics
Laboratory experiment
Laboratory strains
Nekton
Not applicable
Pelagos
Seriola lalandi
Single species
Temperature
Type of study
Species, unique identification
Species, unique identification URI
Species, unique identification Semantic URI
Identification
Time in days
Treatment
Locus
Number
Shannon Diversity Index
Heterozygosity
Temperature, water
Temperature, water, standard deviation
Salinity
Salinity, standard deviation
pH
pH, standard deviation
Alkalinity, total
Alkalinity, total, standard deviation
Partial pressure of carbon dioxide water at sea surface temperature wet air
Partial pressure of carbon dioxide, standard deviation
Carbonate system computation flag
Carbon dioxide
Carbon dioxide, standard deviation
Fugacity of carbon dioxide water at sea surface temperature wet air
Fugacity of carbon dioxide in seawater, standard deviation
Bicarbonate ion
Bicarbonate ion, standard deviation
Carbonate ion
Carbonate ion, standard deviation
Carbon, inorganic, dissolved
Carbon, inorganic, dissolved, standard deviation
Aragonite saturation state
Aragonite saturation state, standard deviation
Calcite saturation state
Calcite saturation state, standard deviation
Calculated using seacarb after Nisumaa et al. 2010
Calculated using seacarb after Orr et al. 2018
spellingShingle Animalia
Chordata
Containers and aquaria 20-1000 L or < 1 m**2
Gene expression incl. proteomics
Laboratory experiment
Laboratory strains
Nekton
Not applicable
Pelagos
Seriola lalandi
Single species
Temperature
Type of study
Species, unique identification
Species, unique identification URI
Species, unique identification Semantic URI
Identification
Time in days
Treatment
Locus
Number
Shannon Diversity Index
Heterozygosity
Temperature, water
Temperature, water, standard deviation
Salinity
Salinity, standard deviation
pH
pH, standard deviation
Alkalinity, total
Alkalinity, total, standard deviation
Partial pressure of carbon dioxide water at sea surface temperature wet air
Partial pressure of carbon dioxide, standard deviation
Carbonate system computation flag
Carbon dioxide
Carbon dioxide, standard deviation
Fugacity of carbon dioxide water at sea surface temperature wet air
Fugacity of carbon dioxide in seawater, standard deviation
Bicarbonate ion
Bicarbonate ion, standard deviation
Carbonate ion
Carbonate ion, standard deviation
Carbon, inorganic, dissolved
Carbon, inorganic, dissolved, standard deviation
Aragonite saturation state
Aragonite saturation state, standard deviation
Calcite saturation state
Calcite saturation state, standard deviation
Calculated using seacarb after Nisumaa et al. 2010
Calculated using seacarb after Orr et al. 2018
Munday, Philip L
Schunter, Celia
Allan, Bridie J M
Nicol, Simon
Parsons, Darren M
Pether, Stephen M J
Pope, Stephen
Ravasi, Timothy
Setiawan, Alvin N
Smith, Neville
Domingos, Jose A
Seawater carbonate chemistry and genetic diversity of juvenile yellowtail kingfish (Seriola lalandi) ...
topic_facet Animalia
Chordata
Containers and aquaria 20-1000 L or < 1 m**2
Gene expression incl. proteomics
Laboratory experiment
Laboratory strains
Nekton
Not applicable
Pelagos
Seriola lalandi
Single species
Temperature
Type of study
Species, unique identification
Species, unique identification URI
Species, unique identification Semantic URI
Identification
Time in days
Treatment
Locus
Number
Shannon Diversity Index
Heterozygosity
Temperature, water
Temperature, water, standard deviation
Salinity
Salinity, standard deviation
pH
pH, standard deviation
Alkalinity, total
Alkalinity, total, standard deviation
Partial pressure of carbon dioxide water at sea surface temperature wet air
Partial pressure of carbon dioxide, standard deviation
Carbonate system computation flag
Carbon dioxide
Carbon dioxide, standard deviation
Fugacity of carbon dioxide water at sea surface temperature wet air
Fugacity of carbon dioxide in seawater, standard deviation
Bicarbonate ion
Bicarbonate ion, standard deviation
Carbonate ion
Carbonate ion, standard deviation
Carbon, inorganic, dissolved
Carbon, inorganic, dissolved, standard deviation
Aragonite saturation state
Aragonite saturation state, standard deviation
Calcite saturation state
Calcite saturation state, standard deviation
Calculated using seacarb after Nisumaa et al. 2010
Calculated using seacarb after Orr et al. 2018
description Estimating the heritability and genotype by environment (GxE) interactions of performance-related traits (e.g., growth, survival, reproduction) under future ocean conditions is necessary for inferring the adaptive potential of marine species to climate change. To date, no studies have used quantitative genetics techniques to test the adaptive potential of large pelagic fishes to the combined effects of elevated water temperature and ocean acidification. We used an experimental approach to test for heritability and GxE interactions in morphological traits of juvenile yellowtail kingfish, Seriola lalandi, under current-day and predicted future ocean conditions. We also tracked the fate of genetic diversity among treatments over the experimental period to test for selection favoring some genotypes over others under elevated temperature and CO2. Specifically, we reared kingfish to 21 days post hatching (dph) in a fully crossed 2 × 2 experimental design comprising current-day average summer temperature (21°C) and ... : In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2022) 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 2023-06-08. ...
format Dataset
author Munday, Philip L
Schunter, Celia
Allan, Bridie J M
Nicol, Simon
Parsons, Darren M
Pether, Stephen M J
Pope, Stephen
Ravasi, Timothy
Setiawan, Alvin N
Smith, Neville
Domingos, Jose A
author_facet Munday, Philip L
Schunter, Celia
Allan, Bridie J M
Nicol, Simon
Parsons, Darren M
Pether, Stephen M J
Pope, Stephen
Ravasi, Timothy
Setiawan, Alvin N
Smith, Neville
Domingos, Jose A
author_sort Munday, Philip L
title Seawater carbonate chemistry and genetic diversity of juvenile yellowtail kingfish (Seriola lalandi) ...
title_short Seawater carbonate chemistry and genetic diversity of juvenile yellowtail kingfish (Seriola lalandi) ...
title_full Seawater carbonate chemistry and genetic diversity of juvenile yellowtail kingfish (Seriola lalandi) ...
title_fullStr Seawater carbonate chemistry and genetic diversity of juvenile yellowtail kingfish (Seriola lalandi) ...
title_full_unstemmed Seawater carbonate chemistry and genetic diversity of juvenile yellowtail kingfish (Seriola lalandi) ...
title_sort seawater carbonate chemistry and genetic diversity of juvenile yellowtail kingfish (seriola lalandi) ...
publisher PANGAEA
publishDate 2023
url https://dx.doi.org/10.1594/pangaea.959709
https://doi.pangaea.de/10.1594/PANGAEA.959709
genre Ocean acidification
genre_facet Ocean acidification
op_relation https://cran.r-project.org/web/packages/seacarb/index.html
https://dx.doi.org/10.3389/fevo.2019.00253
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.95970910.3389/fevo.2019.00253
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