Description from the NSF award abstract:
Diatoms account for approximately 40 percent of primary production in the world's oceans and are the most productive marine phytoplankton group. They form the basis of food webs in coastal and ocean upwelling areas that support important fisheries and have a major role in global carbon and silicon cycles. The goal of this project is to understand the impact of ocean acidification, in combination with other stressors, on the marine diatom Thalassiosira pseudonana. This project will generate a predictive model of expression of all genes of this diatom that can be used to forecast the diatom's response to projected environmental scenarios to an acidifying ocean. A combination of laboratory and field studies will be used; diatoms will be grown under carbon dioxide concentrations that reflect today's values as well as future predicted conditions and light levels and nutrients concentrations will also be varied. Physiological and gene expression responses will be measured and integrated using computational and modeling methods to gain an unbiased, systems-level understanding of the response of diatoms to ocean acidification. This combined approach will enable the forecasting and prediction of the diatom's response to environmental change and the elucidation and genomic interpretation of biochemically relevant processes in natural environment.
Dataset | Latest Version Date | Current State |
---|---|---|
Experimental results: microarrays for Thalassiosira pseudonana diatoms grown in the laboratory under different conditions; 2013 (OA Diatom Response project) | 2015-01-30 | Final with updates expected |
Principal Investigator: Monica V. Orellana
Institute for Systems Biology (ISB)
Co-Principal Investigator: Nitin Baliga
Institute for Systems Biology (ISB)
Contact: Monica V. Orellana
Institute for Systems Biology (ISB)
Data Management Plan received by BCO-DMO on 23 Jan 2015. (118.41 KB)
01/26/2015