Page, Tessa M; McDougall, Carmel; Bar, Ido; Diaz-Pulido, Guillermo (2022): Seawater carbonate chemistry in the experiment of transcriptomic responses of coralline algae to global change stressors [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.955746
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Abstract:
Crustose coralline algae (CCA) are calcifying red macroalgae that play important ecological roles including stabilisation of reef frameworks and provision of settlement cues for a range of marine invertebrates. Previous research into the responses of CCA to ocean warming (OW) and ocean acidification (OA) have found magnitude of effect to be species-specific. Response to OW and OA could be linked to divergent underlying molecular processes across species. Here we show Sporolithon durum, a species that exhibits low sensitivity to climate stressors, had little change in metabolic performance and did not significantly alter the expression of any genes when exposed to temperature and pH perturbations. In contrast, Porolithon onkodes, a major coral reef builder, reduced photosynthetic rates and had a labile transcriptomic response with over 400 significantly differentially expressed genes, with differential regulation of genes relating to physiological processes such as carbon acquisition and metabolism. The differential gene expression detected in P. onkodes implicates possible key metabolic pathways, including the pentose phosphate pathway, in the stress response of this species. We suggest S. durum is more resistant to OW and OA than P. onkodes, which demonstrated a high sensitivity to climate stressors and may have limited ability for acclimatisation. Understanding changes in gene expression in relation to physiological processes of CCA could help us understand and predict how different species will respond to, and persist in, future ocean conditions predicted for 2100.
Keyword(s):
Related to:
Page, Tessa M; McDougall, Carmel; Bar, Ido; Diaz-Pulido, Guillermo (2022): Transcriptomic stability or lability explains sensitivity to climate stressors in coralline algae. BMC Genomics, 23(1), 729, https://doi.org/10.1186/s12864-022-08931-9
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
Page, Tessa M; McDougall, Carmel (2022): Transcriptomic responses of coralline algae to global change stressors. Open Science Framework, https://doi.org/10.17605/OSF.IO/2NKR4
Page, Tessa M; McDougall, Carmel; Bar, Ido; Diaz-Pulido, Guillermo (2022): Transcriptomic responses of coralline algae. Gene Expression Omnibus of the National Center for Biotechnology Information, https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE211882
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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 2023-02-16.
Parameter(s):
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
108 data points
Data
1 Type (Study) | 2 Treat | 3 Sal | 4 Sal std e [±] | 5 Temp [°C] | 6 T std e [±] | 7 pH (total scale, Potentiometric) | 8 pH std e [±] (total scale, Potentiometric) | 9 AT [µmol/kg] (Potentiometric titration) | 10 AT std e [±] (Potentiometric titration) | 11 pCO2water_SST_wet [µatm] (Calculated using seacarb) | 12 pCO2water_SST_wet std e [±] (Calculated using seacarb) | 13 [HCO3]- [µmol/kg] (Calculated using seacarb) | 14 [HCO3]- std e [±] (Calculated using seacarb) | 15 [CO3]2- [µmol/kg] (Calculated using seacarb) | 16 [CO3]2- std e [±] (Calculated using seacarb) | 17 Omega HMC (Calculated using seacarb) | 18 Omega HMC std e [±] (Calculated using seacarb) | 19 CSC flag (Calculated using seacarb afte...) | 20 CO2 [µmol/kg] (Calculated using seacarb afte...) | 21 fCO2water_SST_wet [µatm] (Calculated using seacarb afte...) | 22 pCO2water_SST_wet [µatm] (Calculated using seacarb afte...) | 23 [HCO3]- [µmol/kg] (Calculated using seacarb afte...) | 24 [CO3]2- [µmol/kg] (Calculated using seacarb afte...) | 25 DIC [µmol/kg] (Calculated using seacarb afte...) | 26 Omega Arg (Calculated using seacarb afte...) | 27 Omega Cal (Calculated using seacarb afte...) |
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laboratory | 27.2 °C + pH 8.00 | 35.5 | 0.2 | 27.12 | 0.060 | 8.00 | 0.005 | 2291.49 | 0.653 | 454.190 | 8.178 | 1777.70 | 4.33 | 209.14 | 1.78 | 1.088 | 0.01 | 8 | 11.95 | 444.51 | 445.90 | 1775.14 | 209.83 | 1996.91 | 3.35 | 5.05 |
laboratory | 29.5 °C + pH 8.00 | 35.5 | 0.2 | 29.29 | 0.071 | 7.99 | 0.003 | 2290.71 | 0.875 | 477.260 | 3.982 | 1768.71 | 2.98 | 212.72 | 1.34 | 1.135 | 0.03 | 8 | 11.60 | 454.46 | 455.84 | 1752.35 | 218.95 | 1982.90 | 3.54 | 5.29 |
laboratory | 27.2 °C + pH 7.7 | 35.5 | 0.2 | 27.18 | 0.051 | 7.70 | 0.002 | 2290.91 | 0.811 | 1020.440 | 7.297 | 2005.62 | 1.86 | 116.54 | 7.98 | 0.606 | 0.02 | 8 | 26.82 | 999.43 | 1002.55 | 1999.64 | 118.72 | 2145.18 | 1.90 | 2.86 |
laboratory | 29.5 °C + pH 7.7 | 35.5 | 0.2 | 29.48 | 0.071 | 7.69 | 0.003 | 2290.31 | 0.722 | 1028.482 | 7.076 | 1984.58 | 1.54 | 125.02 | 6.85 | 0.672 | 0.03 | 8 | 26.11 | 1027.64 | 1030.75 | 1983.91 | 125.09 | 2135.11 | 2.02 | 3.02 |