Conserved noncoding sequence (CNS) Bioinformatics

保守非编码序列 (CNS) 生物信息学

• 批准号: 0349737
• 负责人: Michael Freeling
• 金额: $ 63.89万
• 依托单位: University of California-Berkeley
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-10-01 至 2007-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0349737&HistoricalAwards=false
• 关键词: Conserved; noncoding; sequence; CNS; Bioinformatics

The University of California at Berkeley has been awarded a grant to provide the public an accurate database of conserved noncoding sequences (CNSs) in the grass family of flowering plants. CNSs are sequences that are highly conserved over evolutionary time, but that do not encode proteins. The function of many CNSs involves regulation of gene action. Because rice, a grass, has been sequenced and maize (corn) has a great deal of useful genomic sequence available, CNSs may be identified by comparison between the two. Because of the great evolutionary distance between rice and maize, the CNSs so discovered are expected to exist in most all of the other 10,000 grass species. These include economically important crop plants whose genomes have not and will not be sequenced. A CNS database facilitates research on all grass species by providing useful pan-grass PCR binding sites, these being particularly useful for genetic mapping and obtaining important and useful gene regions from wild grass species. It is also important to learn more about the functions that explain why these CNS sequences have been conserved over the last 50 million years. Among the broader impacts of this project is collaboration with Berkeley High School designed to help close the achievement gaps between students of different socio-economic groups. This project includes a summer research experience program for high school students who have done well in advanced placement biology.

位于伯克利的加州大学获得了一笔拨款，为公众提供一个精确的开花植物禾本科保守非编码序列（CNSs）数据库。 CNS是在进化过程中高度保守的序列，但不编码蛋白质。 许多CNS的功能涉及基因作用的调节。 因为水稻（一种禾本科植物）已经被测序，而玉米（玉米）有大量有用的基因组序列，所以可以通过比较两者来鉴定CNSs。 由于水稻和玉米之间的进化距离很远，因此预计这样发现的CNSs存在于其他10，000种草中的大多数。 这些包括具有重要经济意义的作物，其基因组尚未也不会被测序。 CNS数据库通过提供有用的泛草PCR结合位点促进了对所有草物种的研究，这些对于遗传作图和从野生草物种获得重要和有用的基因区域特别有用。 同样重要的是要了解更多关于解释为什么这些CNS序列在过去5000万年中一直保守的功能。 该项目的更广泛影响之一是与伯克利高中合作，旨在帮助缩小不同社会经济群体学生之间的成绩差距。 这个项目包括一个夏季研究经验计划，为高中生谁做得很好，在先进的安置生物学。