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Tegomo, Fabrice Arnaud; Zhong, Zhiwen; Njomoue, Achille Pandong; Okon, Samuel Ukpong; Ullah, Sami; Gray, Neveen Anandi; Chen, Kai; Sun, Y; Xiao, Jinxing; Wang, Lei; Ye, Ying; Huang, Hui; Shao, Qingjun (2022): Seawater carbonate chemistry and survival, health, growth, and meat quality of black sea bream (Acanthopagrus schlegelii) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.943513

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Abstract:
Acidification (OA), a global threat to the world's oceans, is projected to significantly grow if CO2 continues to be emitted into the atmosphere at high levels. This will result in a slight decrease in pH. Since the latter is a logarithmic scale of acidity, the higher acidic seawater is expected to have a tremendous impact on marine living resources in the long-term. An 8-week laboratory experiment was designed to assess the impact of the projected pH in 2100 and beyond on fish survival, health, growth, and fish meat quality. Two projected scenarios were simulated with the control treatment, in triplicates. The control treatment had a pH of 8.10, corresponding to a pCO2 of 321.37 ± 11.48 µatm. The two projected scenarios, named Predict_A and Predict_B, had pH values of 7.80-pCO2 = 749.12 ± 27.03 and 7.40-pCO2 = 321.37 ± 11.48 µatm, respectively. The experiment was preceded by 2 weeks of acclimation. After the acclimation, 20 juvenile black sea breams (Acanthopagrus schlegelii) of 2.72 ± 0.01 g were used per tank. This species has been selected mainly due to its very high resistance to diseases and environmental changes, assuming that a weaker fish resistance will also be susceptibly affected. In all tanks, the fish were fed with the same commercial diet. The seawater's physicochemical parameters were measured daily. Fish samples were subjected to physiological, histological, and biochemical analyses. Fish growth, feeding efficiency, protein efficiency ratio, and crude protein content were significantly decreased with a lower pH. Scanning electron microscopy revealed multiple atrophies of microvilli throughout the small intestine's brush border in samples from Predict_A and Predict_B. This significantly reduced nutrient absorption, resulting in significantly lower feed efficiency, lower fish growth, and lower meat quality. As a result of an elevated pCO2 in seawater, the fish eat more than normal but grow less than normal. Liver observation showed blood congestion, hemorrhage, necrosis, vacuolation of hepatocytes, and an increased number of Kupffer cells, which characterize liver damage. Transmission electron microscopy revealed an elongated and angular shape of the mitochondrion in the liver cell, with an abundance of peroxisomes, symptomatic of metabolic acidosis.
Keyword(s):
Acanthopagrus schlegelii; Animalia; Behaviour; Chordata; Coast and continental shelf; Containers and aquaria (20-1000 L or < 1 m**2); Growth/Morphology; Laboratory experiment; Mortality/Survival; Nekton; North Pacific; Other studied parameter or process; Pelagos; Single species; Temperate
Supplement to:
Tegomo, Fabrice Arnaud; Zhong, Zhiwen; Njomoue, Achille Pandong; Okon, Samuel Ukpong; Ullah, Sami; Gray, Neveen Anandi; Chen, Kai; Sun, Y; Xiao, Jinxing; Wang, Lei; Ye, Ying; Huang, Hui; Shao, Qingjun (2021): Experimental Studies on the Impact of the Projected Ocean Acidification on Fish Survival, Health, Growth, and Meat Quality; Black Sea Bream (Acanthopagrus schlegelii), Physiological and Histological Studies. Animals, 11(11), 3119, https://doi.org/10.3390/ani11113119
Further details:
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
Comment:
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 2022-04-24.
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1TypeTypeShao, Qingjunstudy
2SpeciesSpeciesShao, Qingjun
3Registration number of speciesReg spec noShao, QingjunWoRMS Aphia ID
4Uniform resource locator/link to referenceURL refShao, Qingjun
5TreatmentTreatShao, Qingjun
6MassMassgShao, QingjunInitial, per fish
7Mass, standard deviationMass std dev±Shao, QingjunInitial, per fish
8MassMassgShao, QingjunFinal, per fish
9Mass, standard deviationMass std dev±Shao, QingjunFinal, per fish
10SurvivalSurvival%Shao, Qingjun
11Survival rate, standard deviationSurvival rate std dev±Shao, Qingjun
12Gaingain%Shao, QingjunWeight
13Gain, standard deviationGain std dev±Shao, QingjunWeight
14Specific growth rateSGR%/dayShao, Qingjun
15Specific growth rate, standard deviationSGR std dev±Shao, Qingjun
16Feed intakeFeed intake%/dayShao, Qingjun
17Feed intake, standard deviationFeed intake std dev±Shao, Qingjun
18Feed conversion ratioFCRShao, Qingjun
19Feed conversion ratio, standard deviationFCR std dev±Shao, Qingjun
20Feed conversion efficiencyFCE%Shao, Qingjun
21Feed conversion efficiency, standard deviationFCE std dev±Shao, Qingjun
22Hepatosomatic indexHSI%Shao, Qingjun
23Hepatosomatic index, standard deviationHSI std dev±Shao, Qingjun
24Condition factorCFg/cm3Shao, Qingjun
25Condition factor, standard deviationCF std dev±Shao, Qingjun
26Protein efficiency ratioPERShao, Qingjun
27Protein efficiency ratio, standard deviationPER std dev±Shao, Qingjun
28CategoryCatShao, Qingjun
29Proximate compositionProximate comp%Shao, QingjunWhole-body
30Proximate composition, standard deviationProximate comp std dev±Shao, QingjunWhole-body
31Proximate compositionProximate comp%Shao, QingjunDorsal Muscle
32Proximate composition, standard deviationProximate comp std dev±Shao, QingjunDorsal Muscle
33SalinitySalShao, Qingjun
34Salinity, standard deviationSal std dev±Shao, Qingjun
35Temperature, waterTemp°CShao, Qingjun
36Temperature, water, standard deviationTemp std dev±Shao, Qingjun
37pHpHShao, QingjunPotentiometricNBS scale
38pH, standard deviationpH std dev±Shao, QingjunPotentiometricNBS scale
39Alkalinity, totalATµmol/kgShao, QingjunPotentiometric titration
40Alkalinity, total, standard deviationAT std dev±Shao, QingjunPotentiometric titration
41Partial pressure of carbon dioxide (water) at sea surface temperature (wet air)pCO2water_SST_wetµatmShao, QingjunCalculated using CO2calc
42Partial pressure of carbon dioxide, standard deviationpCO2 std dev±Shao, QingjunCalculated using CO2calc
43Bicarbonate ion[HCO3]-µmol/kgShao, QingjunCalculated using CO2calc
44Bicarbonate ion, standard deviation[HCO3]- std dev±Shao, QingjunCalculated using CO2calc
45Carbonate ion[CO3]2-µmol/kgShao, QingjunCalculated using CO2calc
46Carbonate ion, standard deviation[CO3]2- std dev±Shao, QingjunCalculated using CO2calc
47Carbon, inorganic, dissolvedDICµmol/kgShao, QingjunCalculated using CO2calc
48Carbon, inorganic, dissolved, standard deviationDIC std dev±Shao, QingjunCalculated using CO2calc
49Aragonite saturation stateOmega ArgShao, QingjunCalculated using CO2calc
50Aragonite saturation state, standard deviationOmega Arg std dev±Shao, QingjunCalculated using CO2calc
51Calcite saturation stateOmega CalShao, QingjunCalculated using CO2calc
52Calcite saturation state, standard deviationOmega Cal std dev±Shao, QingjunCalculated using CO2calc
53Carbonate system computation flagCSC flagYang, YanCalculated using seacarb after Nisumaa et al. (2010)
54pHpHYang, YanCalculated using seacarb after Nisumaa et al. (2010)total scale
55Carbon dioxideCO2µmol/kgYang, YanCalculated using seacarb after Nisumaa et al. (2010)
56Fugacity of carbon dioxide (water) at sea surface temperature (wet air)fCO2water_SST_wetµatmYang, YanCalculated using seacarb after Nisumaa et al. (2010)
57Partial pressure of carbon dioxide (water) at sea surface temperature (wet air)pCO2water_SST_wetµatmYang, YanCalculated using seacarb after Nisumaa et al. (2010)
58Bicarbonate ion[HCO3]-µmol/kgYang, YanCalculated using seacarb after Nisumaa et al. (2010)
59Carbonate ion[CO3]2-µmol/kgYang, YanCalculated using seacarb after Nisumaa et al. (2010)
60Carbon, inorganic, dissolvedDICµmol/kgYang, YanCalculated using seacarb after Nisumaa et al. (2010)
61Aragonite saturation stateOmega ArgYang, YanCalculated using seacarb after Nisumaa et al. (2010)
62Calcite saturation stateOmega CalYang, YanCalculated using seacarb after Nisumaa et al. (2010)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
651 data points

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