Ocean Acidification: A Systems Biology Approach to Characterize Diatom Response to Ocean Acidification and Climate Change

海洋酸化：表征硅藻对海洋酸化和气候变化响应的系统生物学方法

• 批准号: 1316206
• 负责人: Monica Orellana
• 金额: $ 180万
• 依托单位: Institute for Systems Biology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-07-01 至 2018-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1316206&HistoricalAwards=false
• 关键词: Ocean; Acidification; Systems; Biology; Approach

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. Broader impacts: Results and the predictive model from this study can be coupled with environmental models to forecast the role and behavior of diatoms in the changing seas. In addition to the multidisciplinary training of a post-doctoral fellow and a graduate student this project will engage 3 high school teachers and their students. The investigators will continue to develop educational tools to increase the understanding of global carbon cycles by K-12 students, a generation that will be increasingly affected by the environmental changes that include ocean acidification.

硅藻约占世界海洋初级生产的40%，是最具生产力的海洋浮游植物群。它们构成沿海和海洋涌升区食物网的基础，支持重要的渔业，并在全球碳和硅循环中发挥重要作用。该项目的目标是了解海洋酸化与其他压力因素相结合对海洋硅藻Thalassiosira dangeriana的影响。该项目将产生一个预测模型的表达，这种硅藻的所有基因，可用于预测硅藻的反应，预计环境情景酸化的海洋。将使用实验室和实地研究相结合的方法;硅藻将在二氧化碳浓度下生长，以反映今天的值以及未来的预测条件，光照水平和营养物质浓度也将有所不同。生理和基因表达反应将使用计算和建模方法进行测量和整合，以获得对硅藻对海洋酸化反应的无偏见的系统级理解。这种结合的方法将能够预测和预测硅藻对环境变化的反应，以及阐明和基因组解释自然环境中的生物化学相关过程。更广泛的影响：本研究的结果和预测模型可以与环境模型相结合，预测硅藻在不断变化的海洋中的作用和行为。除了对一名博士后研究员和一名研究生进行多学科培训外，该项目还将雇用3名高中教师及其学生。研究人员将继续开发教育工具，以增加K-12学生对全球碳循环的理解，这一代人将越来越多地受到包括海洋酸化在内的环境变化的影响。