SGER: Repeat and BAC-End Sequencing of Soybean

SGER：大豆重复测序和 BAC 末端测序

• 批准号: 0417357
• 负责人: Gary Stacey
• 金额: $ 19.97万
• 依托单位: University of Missouri-Columbia
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-02-15 至 2006-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0417357&HistoricalAwards=false
• 关键词: SGER; Repeat; BAC; End; Sequencing

A high-resolution, physical map of the soybean cv. Williams 82 genome is currently under construction. However, this effort is hampered by the size, complexity, and limited knowledge of the structure of the soybean genome. This Small Grant for Exploratory Research project will address the urgent need for BAC-end sequences and a public repeat sequence database to aid in map assembly and annotation. The sequence resources to be developed will provide a better estimate of the gene and repeat content of the soybean genome. The BAC-end sequences will be integrated into the physical map, as well as used to anchor genes and genetic markers.The specific goals of the project are to 1] generate a repeat sequence database by single-pass sequencing of 25,000 randomly generated plasmid clones, 2] sequence 20,000 BAC-ends, 3] annotate the sequence, and 4] incorporate the data into the Fingerprint Contig (FPC) database for community access (http://www.genome.arizona.edu/). Sequence data will be released to the GSS division of GenBank (http://www.ncbi.nlm.nih.gov/dbGSS/) on a weekly basis.A robust map of the soybean genome will facilitate the development of a wide range of functional genomics tools for soybean. An additional outcome will be the recruitment of young scientists who will see soybean as an exciting research system on which they can build their careers. This increase in critical mass will have many tangible benefits, including preserving the viability of soybean as an agriculture crop and contributing to homeland security by insuring a safe and available food supply.

一个高分辨率，物理地图的大豆品种。威廉姆斯82基因组目前正在构建中。然而，这一努力受到大豆基因组结构的大小，复杂性和有限知识的阻碍。这个探索性研究项目的小额赠款将解决BAC末端序列和公共重复序列数据库的迫切需要，以帮助地图组装和注释。待开发的序列资源将提供对大豆基因组的基因和重复内容的更好估计。 BAC末端序列将被整合到物理图谱中，以及用于锚基因和遗传标记。该项目的具体目标是：1]通过对25，000个随机产生的质粒克隆进行单次测序来产生重复序列数据库，2]对20，000个BAC末端进行测序，3]注释序列，和4]将数据并入指纹重叠群（FPC）数据库以供社区访问（http：//www.genome.arizona.edu/）。 序列数据将每周发布到GenBank的GSS部门（http：//www.ncbi.nlm.nih.gov/dbGSS/）。一个强大的大豆基因组图谱将促进大豆功能基因组学工具的开发。另一个结果将是招募年轻科学家，他们将把大豆视为一个令人兴奋的研究系统，他们可以在此基础上建立自己的职业生涯。这种临界质量的增加将带来许多切实的好处，包括保持大豆作为农业作物的生存能力，并通过确保安全和可用的粮食供应来促进国土安全。