Not logged in
PANGAEA.
Data Publisher for Earth & Environmental Science

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): Seawater carbonate chemistry and genetic diversity of juvenile yellowtail kingfish (Seriola lalandi) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.959709

Always quote citation above when using data! You can download the citation in several formats below.

RIS CitationBibTeX Citation

Abstract:
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 seawater pCO2 (500 μatm CO2) and elevated temperature (25°C) and seawater pCO2 (1,000 μatm CO2). We sampled larvae and juveniles at 1, 11, and 21 dph and identified family of origin of each fish (1,942 in total) by DNA parentage analysis. The animal model was used to estimate heritability of morphological traits and test for GxE interactions among the experimental treatments at 21 dph. Elevated temperature, but not elevated CO2 affected all morphological traits. Weight, length and other morphological traits in juvenile yellowtail kingfish exhibited low but significant heritability under current day and elevated temperature. However, there were no measurable GxE interactions in morphological traits between the two temperature treatments at 21 dph. Similarly, there was no detectable change in any of the measures of genetic diversity over the duration of the experiment. Nonetheless, one family exhibited differential survivorship between temperatures, declining in relative abundance between 1 and 21 dph at 21°C, but increasing in relative abundance between 1 and 21 dph at 25°C. This suggests that this family line could perform better under future warming than in current-day conditions. Our results provide the first preliminary evidence of the adaptive potential of a large pelagic fisheries species to future ocean conditions.
Keyword(s):
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
Supplement to:
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 (2019): Testing the Adaptive Potential of Yellowtail Kingfish to Ocean Warming and Acidification. Frontiers in Ecology and Evolution, 7, 253, https://doi.org/10.3389/fevo.2019.00253
Documentation:
Gattuso, Jean-Pierre; Epitalon, Jean-Marie; Lavigne, Héloïse; Orr, James; Gentili, Bernard; Hagens, Mathilde; Hofmann, Andreas; Mueller, Jens-Daniel; Proye, Aurélien; Rae, James; Soetaert, Karline (2022): seacarb: seawater carbonate chemistry with R. R package version 3.3.1. https://cran.r-project.org/web/packages/seacarb/index.html
Comment:
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.
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1Type of studyStudy typeMunday, Philip L
2Species, unique identificationSpecies UIDMunday, Philip L
3Species, unique identification (URI)Species UID (URI)Munday, Philip L
4Species, unique identification (Semantic URI)Species UID (Semantic URI)Munday, Philip L
5IdentificationIDMunday, Philip L
6Time in daysTimedaysMunday, Philip Lpost hatching
7TreatmentTreatMunday, Philip L
8LocusLocusMunday, Philip L
9NumberNoMunday, Philip L
10NumberNoMunday, Philip LDifferent Alleles
11NumberNoMunday, Philip LEffective Alleles
12Shannon Diversity IndexH'Munday, Philip L
13HeterozygosityHZMunday, Philip LObserved
14HeterozygosityHZMunday, Philip LExpected
15Temperature, waterTemp°CMunday, Philip L
16Temperature, water, standard deviationTemp std dev±Munday, Philip L
17SalinitySalMunday, Philip L
18Salinity, standard deviationSal std dev±Munday, Philip L
19pHpHMunday, Philip Ltotal scale
20pH, standard deviationpH std dev±Munday, Philip Ltotal scale
21Alkalinity, totalATµmol/kgMunday, Philip L
22Alkalinity, total, standard deviationAT std dev±Munday, Philip L
23Partial pressure of carbon dioxide (water) at sea surface temperature (wet air)pCO2water_SST_wetµatmMunday, Philip L
24Partial pressure of carbon dioxide, standard deviationpCO2 std dev±Munday, Philip L
25Carbonate system computation flagCSC flagMunday, Philip LCalculated using seacarb after Nisumaa et al. (2010)
26Carbon dioxideCO2µmol/kgMunday, Philip LCalculated using seacarb after Nisumaa et al. (2010)
27Carbon dioxide, standard deviationCO2 std dev±Munday, Philip LCalculated using seacarb after Orr et al. (2018)
28Fugacity of carbon dioxide (water) at sea surface temperature (wet air)fCO2water_SST_wetµatmMunday, Philip LCalculated using seacarb after Nisumaa et al. (2010)
29Fugacity of carbon dioxide in seawater, standard deviationfCO2 std dev±Munday, Philip LCalculated using seacarb after Orr et al. (2018)
30Partial pressure of carbon dioxide (water) at sea surface temperature (wet air)pCO2water_SST_wetµatmMunday, Philip LCalculated using seacarb after Nisumaa et al. (2010)
31Partial pressure of carbon dioxide, standard deviationpCO2 std dev±Munday, Philip LCalculated using seacarb after Orr et al. (2018)
32Bicarbonate ion[HCO3]-µmol/kgMunday, Philip LCalculated using seacarb after Nisumaa et al. (2010)
33Bicarbonate ion, standard deviation[HCO3]- std dev±Munday, Philip LCalculated using seacarb after Orr et al. (2018)
34Carbonate ion[CO3]2-µmol/kgMunday, Philip LCalculated using seacarb after Nisumaa et al. (2010)
35Carbonate ion, standard deviation[CO3]2- std dev±Munday, Philip LCalculated using seacarb after Orr et al. (2018)
36Carbon, inorganic, dissolvedDICµmol/kgMunday, Philip LCalculated using seacarb after Nisumaa et al. (2010)
37Carbon, inorganic, dissolved, standard deviationDIC std dev±Munday, Philip LCalculated using seacarb after Orr et al. (2018)
38Aragonite saturation stateOmega ArgMunday, Philip LCalculated using seacarb after Nisumaa et al. (2010)
39Aragonite saturation state, standard deviationOmega Arg std dev±Munday, Philip LCalculated using seacarb after Orr et al. (2018)
40Calcite saturation stateOmega CalMunday, Philip LCalculated using seacarb after Nisumaa et al. (2010)
41Calcite saturation state, standard deviationOmega Cal std dev±Munday, Philip LCalculated using seacarb after Orr et al. (2018)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
5148 data points

Download Data

Download dataset as tab-delimited text — use the following character encoding:

View dataset as HTML (shows only first 2000 rows)