Genomic Database for the Flowering Plant Arabidopsis thaliana

开花植物拟南芥基因组数据库

• 批准号: 9503776
• 负责人: Joe Cherry
• 金额: $ 71.57万
• 依托单位: Stanford University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 1995
• 资助国家: 美国
• 起止时间: 1995-08-15 至 1997-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9503776&HistoricalAwards=false
• 关键词: Genomic; Database; Flowering; Plant; Arabidopsis

The small flowering plant Arabidopsis thaliana, a member of the mustard family, has become the model system for plant biology. Its unique features allow it to be applied to a wide variety of research problems, including plant physiology, the molecular genetic study of organ development, and plant-pathogen interactions. The importance of Arabidopsis to plant biology is increasing with the international development of germplasm and DNA stock resource centers, genetic and physical maps and their techniques, plus expressed sequence tag and genomic sequencing projects. Furthermore, because flowering plants evolved recently, characterizing a gene in Arabidopsis often simplifies the isolation of a corresponding gene in another flowering plant. The primary mission of this project is to provide a specialized electronic database that can be used by the scientific community to collect, cross-reference, organize, distribute and maintain the scientific data and their results. The immediate goals are to create an initial prototype database with input from the user community, and to maintain the existing public Arabidopsis database, AAtDB, in the interim. It is expected that the prototype developed under this award will become a basis for the next generation Arabidopsis database that will meet the needs of the researchers for the foreseeable future.

小型开花植物拟南芥（Arabidopsis thaliana）是芥菜家族的一员，已成为植物生物学的模式系统。 其独特的功能使其能够应用于各种各样的研究问题，包括植物生理学，器官发育的分子遗传学研究，以及植物-病原体相互作用。 随着国际上拟南芥种质资源中心、DNA库资源中心、遗传图谱、物理图谱及其技术的发展，以及表达序列标签和基因组测序计划的实施，拟南芥在植物生物学中的重要性日益增加。 此外，由于开花植物是最近进化的，因此在拟南芥中鉴定一个基因往往简化了在另一种开花植物中分离相应基因的过程。 该项目的主要使命是提供一个专门的电子数据库，供科学界用来收集、交叉参考、组织、分发和维护科学数据及其结果。 目前的目标是创建一个初始的原型数据库，从用户社区的输入，并保持现有的公共拟南芥数据库，AAtDB，在过渡期间。 预计在此奖项下开发的原型将成为下一代拟南芥数据库的基础，以满足研究人员在可预见的未来的需求。