SoyMap: an Integrated Soybean Genome Map

SoyMap：综合大豆基因组图谱

• 批准号: 0501877
• 负责人: Scott Jackson
• 金额: --
• 依托单位: Purdue University
• 依托单位国家: 美国
• 项目类别: Cooperative Agreement
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-07-01 至 2010-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0501877&HistoricalAwards=false
• 关键词: SoyMap; Integrated; Soybean; Genome; Map

The long-term goals of this award are to use genomic tools in soybean to decipher the genetic/genomic effects of multiple rounds of polyploidization followed by diploidization, a poorly understood phenomenon, and develop a BAC-based, sequence ready map for the public. To begin to address the goals, the team will create a physical map integrated with the available genetic map. A physical map is the basic building block used to clone important agricultural genes and to sequence segments of genomes or entire genomes. In addition to development of an integrated genetic-physical map, DNA sequencing will be done to assess the microstructure of the soybean genome at several locations. The soybean genome is highly duplicated; that is, any particular region may be present multiple times, which complicates genome mapping and sequencing. The team will target and sequence the duplicated regions to ascertain the level of conservation between duplicated regions and to determine how to overcome the difficulty posed by duplications within the genome. Integrated into the project are opportunities for faculty and students from Primarily Undergraduate Institutions to participate each summer in the project at each of the involved institutions. Access to project outcomesAll DNA sequences will be deposited in GenBank and trace files in the trace file repository as soon as the qualities are checked. Integrated physical and genetic map data will be made available through the Legume Information System (LIS: http://www.comparative-legumes.org/).

该奖项的长期目标是在大豆中使用基因组工具来破译多轮多倍体化和随后的二倍体化的遗传/基因组效应，这是一种人们知之甚少的现象，并为公众开发基于BAC的测序图谱。 为了开始实现这些目标，研究小组将创建一个与现有遗传图谱相结合的物理图谱。 物理图谱是用于克隆重要农业基因和对基因组片段或整个基因组进行测序的基本构件。 除了开发综合遗传物理图谱外，还将进行DNA测序，以评估大豆基因组在几个地点的微观结构。 大豆基因组是高度重复的;也就是说，任何特定区域都可能存在多次，这使得基因组作图和测序复杂化。 该团队将对重复区域进行定位和测序，以确定重复区域之间的保守程度，并确定如何克服基因组内重复所带来的困难。 融入该项目是教师和学生的机会，从小学本科院校参加每年夏天在每个参与机构的项目。项目成果的获取所有DNA序列将在质量检查后立即存入GenBank和跟踪文件库中的跟踪文件。 将通过豆类信息系统（LIS：http：//www.comparative-legumes.org/）提供综合的物理和遗传图数据。