Liver proteome profiling of juvenile Chinese sturgeon (Acipenser sinensis) using GeLC-MS/MS approach

Chinese sturgeon (Acipenser sinensis), mainly distributed in the Yangtze River, has been listed as a grade I protected animal in China because of a dramatic decline in population owing to loss of natural habitat for reproduction and interference by human activities. Understanding the proteome profile of Chinese sturgeon liver would provide an invaluable resource for protecting and increasing the stocks of this species. In this study, we have analyzed proteome profiles of juvenile Chinese sturgeon liver using a one-dimensional gel electrophoresis coupled to LC-MS/MS approach. A total of 1059 proteins and 2084 peptides were identified. The liver proteome was found to be associated with diverse biological processes, cellular components and molecular functions. The proteome profile identified a variety of significant pathways including carbohydrate metabolism, fatty acid metabolism and amino acid metabolism pathways. It also established a network for protein biosynthesis, folding and catabolic processes. The proteome profile established in this study can be used for understanding the development of Chinese sturgeon and studying the molecular mechanisms of action under environmental or chemical stress, providing very useful omics information that can be applied to preserve this species.

Investigation of the seasonality of N. pachyderma in the North Atlantic Ocean during Heinrich Stadial 1 using an ecosystem modeling approach

Fossil shells of planktonic foraminifera serve as the prime source of information on past changes in surface ocean conditions. Because the population size of planktonic foraminifera species changes throughout the year, the signal preserved in fossil shells is biased towards the conditions when species production was at its maximum. The amplitude of the potential seasonal bias is a function of the magnitude of the seasonal cycle in production. Here we use a planktonic foraminifera model coupled to an ecosystem model to investigate to what degree seasonal variations in production of the species Neogloboquadrina pachyderma may affect paleoceanographic reconstructions during Heinrich Stadial 1 (~18-15 cal. ka B.P.) in the North Atlantic Ocean. The model implies that during Heinrich Stadial 1 the maximum seasonal production occurred later in the year compared to the Last Glacial Maximum (~21-19 cal. ka B.P.) and the pre-industrial era north of 30 ºN. A diagnosis of the model output indicates that this change reflects the sensitivity of the species to the seasonal cycle of sea-ice cover and food supply, which collectively lead to shifts in the modeled maximum production from the Last Glacial Maximum to Heinrich Stadial 1 by up to six months. Assuming equilibrium oxygen isotopic incorporation in the shells of N. pachyderma, the modeled changes in seasonality would result in an underestimation of the actual magnitude of the meltwater isotopic signal recorded by fossil assemblages of N. pachyderma wherever calcification is likely to take place.