Collaborative Research: EAGER: Using ultraconserved elements (UCEs) as genomic markers to study shallow levels of evolutionary divergence

合作研究：EAGER：使用超保守元件（UCE）作为基因组标记来研究浅层进化分歧

• 批准号: 1242241
• 负责人: Travis Glenn
• 金额: $ 1.57万
• 依托单位: University of Georgia Research Foundation Inc
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-06-15 至 2014-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1242241&HistoricalAwards=false
• 关键词: Collaborative; Research; EAGER; Using; ultraconserved

This project will investigate the utility of using ultra conserved elements of the genome (UCEs) as primary data for genetic and evolutionary studies of populations and species. UCEs are regions of the genome that rarely change, and that are shared across very divergent organismal groups (from humans to lizards). Thus, UCEs could potentially provide hundreds to thousands of data points that are universal across large taxonomic groups for analysis. This project will capture and sequence the DNA of 2,386 UCE areas of the genome across 18 species (from three organismal classes) in order to test the utility and power of UCEs as universal data markers for organismal population studies. UCE's will provide a unique and important new tool for in-depth genetic studies of biodiversity and evolution while also helping to address problems in conservation biology and wildlife management. Development of UCE-based approaches may: produce data from thousands of genes across entire orders and classes of organisms; enable previously impossible apples-to-apples comparisons of genomic diversity among thousands of species at a time; and provide quantum increases in speed and decreases in cost for population genomic studies. This project will support a bioinformatics training workshop in Alaska, release all data and source code to the public, and publish results in peer-reviewed journals.

该项目将研究使用超保守基因组元件（UCEs）作为种群和物种遗传和进化研究的主要数据的实用性。UCE是基因组中很少发生变化的区域，并且在非常不同的生物群体（从人类到蜥蜴）中共享。因此，UCE可能提供数百到数千个数据点，这些数据点在大型分类组中是通用的。该项目将捕获和测序18个物种（来自三个生物类别）基因组的2，386个UCE区域的DNA，以测试UCE作为生物种群研究通用数据标记的效用和能力。UCE将为生物多样性和进化的深入遗传研究提供一个独特而重要的新工具，同时也有助于解决保护生物学和野生动物管理中的问题。开发基于UCE的方法可以： 从生物的整个目的和类别的数千个基因中产生数据;使以前不可能的苹果对苹果的基因组多样性的比较在数千个物种的时间;并提供数量增加的速度和降低成本的人口基因组研究。该项目将支持阿拉斯加的一个生物信息学培训讲习班，向公众发布所有数据和源代码，并在同行评审的期刊上发表结果。