Quantitative analysis of oyster larval proteome provides new insights into the effects of multiple climate change stressors
Ko, Ginger Wai Kuen
KAUST DepartmentApplied Mathematics and Computational Science Program
Biological and Environmental Sciences and Engineering (BESE) Division
Computational Bioscience Research Center (CBRC)
KAUST Environmental Epigenetics Research Program (KEEP)
Proteomics and Protein Expression
Online Publication Date2016-03-17
Print Publication Date2016-06
Permanent link to this recordhttp://hdl.handle.net/10754/621623
MetadataShow full item record
AbstractThe metamorphosis of planktonic larvae of the Pacific oyster (Crassostrea gigas) underpins their complex life-history strategy by switching on the molecular machinery required for sessile life and building calcite shells. Metamorphosis becomes a survival bottleneck, which will be pressured by different anthropogenically induced climate change-related variables. Therefore, it is important to understand how metamorphosing larvae interact with emerging climate change stressors. To predict how larvae might be affected in a future ocean, we examined changes in the proteome of metamorphosing larvae under multiple stressors: decreased pH (pH 7.4), increased temperature (30 °C), and reduced salinity (15 psu). Quantitative protein expression profiling using iTRAQ-LC-MS/MS identified more than 1300 proteins. Decreased pH had a negative effect on metamorphosis by down-regulating several proteins involved in energy production, metabolism, and protein synthesis. However, warming switched on these down-regulated pathways at pH 7.4. Under multiple stressors, cell signaling, energy production, growth, and developmental pathways were up-regulated, although metamorphosis was still reduced. Despite the lack of lethal effects, significant physiological responses to both individual and interacting climate change related stressors were observed at proteome level. The metamorphosing larvae of the C. gigas population in the Yellow Sea appear to have adequate phenotypic plasticity at the proteome level to survive in future coastal oceans, but with developmental and physiological costs. © 2016 John Wiley & Sons Ltd.
CitationDineshram R, Chandramouli K, Ko GWK, Zhang H, Qian P-Y, et al. (2016) Quantitative analysis of oyster larval proteome provides new insights into the effects of multiple climate change stressors. Global Change Biology 22: 2054–2068. Available: http://dx.doi.org/10.1111/gcb.13249.
SponsorsThe authors would like to thank Ziniu Yu and Yang Zhang of South China Sea Institute of Oceanology for providing the oysters used in our experiments and for helping us with RT-PCR analysis. We thank Ivan Chiu (University of Hong Kong), and Yun Lam (City University of Hong Kong) for technical support and for providing access to sample preparation and data analysis. The collaboration between VT and PYQ is supported by the State Key Laboratory in Marine Pollution of City University of Hong Kong. We thank Gabriela Bindea of Cordeliers Research Center for adding Crassostrea gigas annotation resources in ClueGO for pathway analysis. We thank P. Sriyutha Murthy (BARC, Kalpakkam, India) for proofreading. We are also grateful to the three anonymous reviewers and the editor for their substantial contributions to this article. This study was funded by three GRF grants from the HKSAR-RGC (Grant Numbers: 705112P, 17304914, and 705511P).
JournalGlobal Change Biology
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Dineshram, R., Chandramouli, K., Ko, W. K. G., Zhang, H., Qian, P. Y., Ravasi, T., & Thiyagarajan, V. (2016). Quantitative analysis of oyster larval proteome provides new insights into the effects of multiple climate change stressors, supplement to: Dineshram, R; Chandramouli, K; Ko, W K Ginger; Zhang, Huoming; Qian, Pei Yuan; Ravasi, Timothy; Thiyagarajan, Vengatesen (2016): Quantitative analysis of oyster larval proteome provides new insights into the effects of multiple climate change stressors. Global Change Biology, 22(6), 2054-2068 [Data set]. PANGAEA - Data Publisher for Earth & Environmental Science. https://doi.org/10.1594/pangaea.867318. DOI: 10.1594/PANGAEA.867318 HANDLE: 10754/624161
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