Abstract
Most calcifying organisms show depressed metabolic, growth and calcification rates as symptoms to high-CO2 due to ocean acidification (OA) process. Analysis of the global expression pattern of proteins (proteome analysis) represents a powerful tool to examine these physiological symptoms at molecular level, but its applications are inadequate. To address this knowledge gap, 2-DE coupled with mass spectrophotometer was used to compare the global protein expression pattern of oyster larvae exposed to ambient and to high-CO2. Exposure to OA resulted in marked reduction of global protein expression with a decrease or loss of 71 proteins (18% of the expressed proteins in control), indicating a wide-spread depression of metabolic genes expression in larvae reared under OA. This is, to our knowledge, the first proteome analysis that provides insights into the link between physiological suppression and protein down-regulation under OA in oyster larvae. © 2012 Elsevier Ltd.
Original language | English (US) |
---|---|
Pages (from-to) | 2160-2167 |
Number of pages | 8 |
Journal | Marine Pollution Bulletin |
Volume | 64 |
Issue number | 10 |
DOIs | |
State | Published - Oct 2012 |
Externally published | Yes |
Bibliographical note
KAUST Repository Item: Exported on 2020-10-01Acknowledgements: We thank A. Ishimatsu (Nagasaki University, Japan), J.M. Hall-Spencer (University of Plymouth, UK), Sam Dupont (EPOCA, Sweden), Richard Zeebe (University of Hawaii, USA), Gray Williams and Kenneth Leung (The University of Hong Kong, Hong Kong) for their valuable discussions and for their support in setting up the ocean acidification facilities. We thank Mr. Fu (in oyster hatchery) for his support on oyster larval culture. This study was primarily supported by a Grant from the HKSAR-RGC (No. 778309M) and partially from the Area of Excellency Project grant (No. AoE/P-04/2004) to VT. The oyster larval culture facilities located in Zhanjiang (China) hatchery was partially funded by the 973 program to ZY. The proteomic part of this study was partially supported by KAUST-HKUST project funded to PYQ.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.