Metabolic responses to elevated pCO2 in the gills of the Pacific Oyster (Magallana gigas) using a GC-TOF-MS-based metabolomics approach

Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao, China
Function Laboratory for Marine Fisheries Science and Food Production Processes, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
College of Fisheries and Life Sciences, Shanghai Ocean University, Shanghai, China
Institute of Marine Research, Bergen, Norway
DOI
10.7287/peerj.preprints.26866v1
Subject Areas
Marine Biology, Climate Change Biology
Keywords
Ocean acidification, GC-TOF-MS, metabolomics, KEGG, Magallana gigas
Copyright
© 2018 Jiang et al.
Licence
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Preprints) and either DOI or URL of the article must be cited.
Cite this article
Jiang Z, Wang X, Rastrick SPS, Fang J, Du M, Gao Y, Wu Y, Strand Ø, Fang J. 2018. Metabolic responses to elevated pCO2 in the gills of the Pacific Oyster (Magallana gigas) using a GC-TOF-MS-based metabolomics approach. PeerJ Preprints 6:e26866v1

Abstract

Rising atmospheric carbon dioxide (CO2), primarily from human fossil fuel combustion and cement production, are resulting in increasing absorption of CO2 by the oceans, which has led to a decline in ocean pH in a process known as ocean acidification (OA). There is a growing body of evidence demonstrating the potential effect of OA on life-history traits of marine organisms. Consequently, gas chromatography time-of-flight mass spectrometry (GC-TOF-MS) based metabolic profiling approach was applied to examine the metabolic responses of Magallana gigas to elevated pCO2 levels, under otherwise natural field conditions. CO2. Oysters were exposed natural environmental pCO2 (~625.40 μatm) and elevated pCO2 (~1432.94 μatm) levels for 30 days. Results indicated that 36 differential metabolites with variable importance in the projection (VIP) value greater than 1 and Student's t-test lower than 0.05 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 pCO2 disturb the TCA cycle via succinate accumulation and Magallana gigas most likely adjust their energy metabolic via alanine and GABA accumulation accordingly to cope with elevated pCO2. These findings provide an understanding of the molecular mechanisms involved in modulating metabolism under elevated pCO2 levels associated with predicted OA.

Author Comment

This is a submission to PeerJ for review.