High Density Scoreable Markers for Maize Trait Dissection

玉米具有巨大的自然多样性，可用于提高生物燃料潜力、氮利用效率、营养价值和环境耐受性。然而，为了获得和利用基因组学工具，需要以非常高的分辨率发现玉米的分子变异。该项目将开发使用几种前沿技术发现和评分DNA多态性（变体）的方法。多态性将在基因组中近40万个位点被发现和评分。然后，这些多态性将与27个不同的品系进行比较，这些品系捕获了80%的玉米常见变异。重要的是，该项目中使用的27个品系也是世界上最大的正在进行的复杂性状解剖项目的母体。结合这一无与伦比的性状解剖图谱资源，该项目发现的多态性将使玉米复杂性状的分辨率下降到基因水平，这将有助于了解许多性状是如何控制的研究。该项目将开发一个适合本科生使用的基于网络的分步地图指南。访问项目成果协议和阵列设计将通过项目网站提供。该项目的所有数据将通过Gramene （www.gramene.org）和Panzea （www.panzea.org）公开提供，并随后纳入国家生物技术信息中心（http://www.ncbi.nlm.nih.gov/）的适当公共数据库。

Maize has tremendous levels of natural diversity that can be used for the improvement of biofuel potential, nitrogen use efficiency, nutritional value, and environmental tolerances. However, to access and to make it available to the tools of genomics, the molecular variation of maize needs to be discovered at a very high resolution. This project will develop methods to discover and then score DNA polymorphisms (variants) using several leading edge technologies. Polymorphisms will be discovered and scored at nearly 400,000 locations in the genome. These polymorphisms will then be scored against 27 diverse lines that capture 80% of the common variation in maize. Importantly, the 27 lines used in this project are also parents of the world's largest ongoing complex trait dissection project. In combination with this unparalleled trait dissection mapping resource, the polymorphisms discovered by this project will enable resolution of complex traits in maize down to the gene level, which will facilitate research in understanding how numerous traits are controlled. The project will develop a web-based step-by-step guide for mapping suitable for use by undergraduate students.Access to project outcomesProtocols and array designs will be made available through a project website. All data from this project will be publicly available through Gramene (www.gramene.org) and Panzea (www.panzea.org) and subsequently incorporated into appropriate public databases at the National Center for Biotechnology Information (http://www.ncbi.nlm.nih.gov/).