Metabolic responses to elevated pCO(2) in the gills of the Pacific oyster (Crassostrea gigas) using a GC-TOF-MS-based metabolomics approach
文献类型： 外文期刊
作者： Jiang, Zengjie 1 ; Wang, Xiaoqin 1 ; Rastrick, Samuel P. S. 3 ; Fang, Jinghui 1 ; Du, Meirong 1 ; Gao, Yaping 1 ; Li, 1 ;
作者机构： 1.Chinese Acad Fishery Sci, Yellow Sea Fisheries Res Inst, Key Lab Sustainable Dev Marine Fisheries, Minist Agr, 106 Nanjing Rd, Qingdao, Shandong, Peoples R China
2.Qingdao Natl Lab Marine Sci & Technol, Lab Marine Fisheries Sci & Food Prod Proc, 1 Wenhai Rd, Qingdao, Shandong, Peoples R China
3.Inst Marine Res, 1870 Nordnes, NO-5817 Bergen, Norway
4.Shanghai Ocean Univ, Coll Fisheries & Life Sci, 999 Huchenghuan Rd, Shanghai, Peoples R China
关键词： Ocean acidification; Crassostrea gigas; GC-TOF-MS; Metabolomics; KEGG
期刊名称：COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY D-GENOMICS & PROTEOMICS （ 影响因子：2.674； 五年影响因子：2.941 ）
ISSN： 1744-117X
年卷期： 2019 年 29 卷
页码：
收录情况： SCI
摘要： Rising atmospheric carbon dioxide (CO2), primarily from anthropogenic emissions, are resulting in increasing absorption of CO2 by the oceans, leading to a decline in oceanic pH in a process known as ocean acidification (OA). There is a growing body of evidence demonstrating the potential effect of OA on the energetics/physiology and consequently life-history traits of commensally important marine organisms. However, despite this little is known of how fundamental metabolic pathways that underpin changes in organismal physiology are affected by OA. Consequently, a gas chromatography time-of-flight mass spectrometry (GC-TOF-MS) based metabolic profiling approach was applied to examine the metabolic responses of Crassostrea gigas to elevated pCO(2) levels, under otherwise natural field conditions. Oysters were exposed natural environmental pCO(2) (similar to 625.40 mu atm) and elevated pCO(2) (similar to 1432.94 mu atm) levels for 30 days. Results indicated that 36 differential metabolites were identified. Differential metabolites were mapped in the Kyoto Encyclopedia of Genes and Genomes (KEGG) database to search for the related metabolic pathways. Pathway enrichment analysis indicates that alanine, aspartate and glutamate metabolism and glycine, serine and threonine metabolism were the most statistically enriched pathways. Further analysis suggested that elevated pCO(2) disturb the TCA cycle via succinate accumulation and C. gigas most likely adjust their energy metabolic via alanine and GABA accumulation accordingly to cope with elevated pCO(2). These findings provide an understanding of the molecular mechanisms involved in modulating C. gigas metabolism under elevated pCO(2).
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