METABOLOMICS: Integrating cheminformatic resources for investigating photoautotrophic and mixotrophic metabolism in algae.

代谢组学：整合化学信息资源以研究藻类的光合自养和混合营养代谢。

• 批准号: 1139644
• 负责人: Oliver Fiehn
• 金额: $ 149.49万
• 依托单位: University of California-Davis
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-12-01 至 2018-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1139644&HistoricalAwards=false
• 关键词: METABOLOMICS; Integrating; cheminformatic; resources; investigating

The metabolome is the sum total of the products of chemical reactions in the cell; it comprises a diverse set of chemicals that is species-specific and that is strongly influenced by the environment. Thus, despite decades of biochemical research, metabolomics is a field that is still in development, and no comprehensive database captures the complement of species-dependent metabolites. This project will capture the metabolome of 10 photosynthetic microorganisms (algae) by identifying all detectable metabolites that are synthesized as building blocks during their growth under conditions with variable sources of carbon (for example carbon dioxide and other organic compounds, including those found in wastewater). These data will greatly increase our knowledge of algal metabolism and carbon utilization. A major goal of this project is to integrate and improve existing metabolomic databases and libraries and to build new tools for the fast identification of metabolites. The resources resulting from this project will be made freely available to foster collaborations across multiple disciplines including engineering, analytical chemistry and bioinformatics. This project will facilitate the development of more efficient technologies for biofuel production based on photosynthetic microorganisms.Broader ImpactsThis project, through collaborations with researchers at the University of Tokyo and Osaka Prefectural University, will integrate and freely disseminate information and tutorials about libraries of chemical data, chemistry software, laboratory protocols for metabolism studies and results from the algal metabolomic studies. Web-based access will enable researchers and others interested in using these tools to compare the biochemistry of different species under various environmental conditions. In addition to the international training and education of the next generation of researchers, there will be outreach by project participants to students and pupils in K-12 education through the NSF-REU and GK-12 programs. Project staff will participate in the BioTech SYSTEM biotechnology program for teachers by providing educational activities for high school students and by partnering with local schools with large populations of under-served and under-represented minority students.

代谢组是细胞中化学反应产物的总和；它由一组不同的化学物质组成，这些化学物质因物种而异，并受到环境的强烈影响。因此，尽管经过了几十年的生化研究，代谢组学仍是一个仍在发展中的领域，没有一个全面的数据库能够捕捉到依赖于物种的代谢物的补充。该项目将捕获10个光合作用微生物(藻类)的代谢组，确定它们在不同碳源(例如二氧化碳和其他有机化合物，包括废水中发现的那些)条件下生长过程中合成的所有可检测代谢物。这些数据将大大增加我们对藻类新陈代谢和碳利用的了解。该项目的一个主要目标是整合和改进现有的代谢物数据库和文库，并建立快速鉴定代谢物的新工具。该项目产生的资源将免费提供，以促进跨多个学科的合作，包括工程学、分析化学和生物信息学。该项目将促进基于光合作用微生物的更有效的生物燃料生产技术的开发。广泛影响该项目通过与东京大学和大阪地方大学的研究人员合作，将整合和免费传播关于化学数据库、化学软件、新陈代谢研究的实验室方案和藻类新陈代谢研究结果的信息和教程。基于网络的访问将使研究人员和其他有兴趣使用这些工具的人能够比较不同环境条件下不同物种的生物化学。除了下一代研究人员的国际培训和教育外，项目参与者还将通过NSF-REU和GK-12项目向K-12教育的学生和学生进行外联。项目工作人员将参与教师生物技术系统计划，为高中生提供教育活动，并与当地有大量未得到充分服务和代表不足的少数族裔学生的学校合作。