Acknowledgements The 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).
The Swire Institute of Marine Science and School of Biological Sciences, The University of Hong Kong, Pok Fu Lam Road, Hong Kong Island, Hong Kong; Division of Biological, King Abdullah University of Science and Technology, Environmental Sciences and Engineering, Division of Applied Mathematics and Computer Sci. and KAUST Environmental Epigenetic Program (KEEP), Thuwal, Saudi Arabia; Division of Life Science, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong
Recommended Citation:
Dineshram R.,Chandramouli K.,Ko G.W.K.,et al. Quantitative analysis of oyster larval proteome provides new insights into the effects of multiple climate change stressors[J]. Global Change Biology,2016-01-01,22(6)