Analysis of Pacific oyster larval proteome and its response to high-CO2, supplement to: Dineshram, R; Wong, Kevin K W; Shu, Xiao; Yu, Ziniu; Qian, Pei Yuan; Thiyagarajan, Vengatesen (2012): Analysis of Pacific oyster larval proteome and its response to high-CO2. Marine Pollution Bulletin, 64(10), 2160-2167

Most calcifying organisms show depressed metabolic, growth and calcification rates as symptoms to high-CO(2) 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 molecu...

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Bibliographic Details
Main Authors: Dineshram, R, Wong, Kevin K W, Shu, Xiao, Yu, Ziniu, Qian, Pei Yuan, Thiyagarajan, Vengatesen
Format: Dataset
Language:English
Published: PANGAEA - Data Publisher for Earth & Environmental Science 2012
Subjects:
pH
Online Access:https://dx.doi.org/10.1594/pangaea.823757
https://doi.pangaea.de/10.1594/PANGAEA.823757
Description
Summary:Most calcifying organisms show depressed metabolic, growth and calcification rates as symptoms to high-CO(2) 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-CO(2). 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. : In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Lavigne and Gattuso, 2011) was used to compute a complete and consistent set of carbonate system variables, as described by Nisumaa et al. (2010). In this dataset the original values were archived in addition with the recalculated parameters (see related PI). The date of carbonate chemistry calculation by seacarb is 2014-02-20.