公开(公告)号：US20100145624A1

公开(公告)日：2010-06-10

申请号：US12328689

申请日：2008-12-04

申请人： Venkata Krishna Kishore ,  Daolong Wang ,  Libardo Andres Gutierrez Rojas ,  Nicolas Federico Martin

发明人： Venkata Krishna Kishore ,  Daolong Wang ,  Libardo Andres Gutierrez Rojas ,  Nicolas Federico Martin

IPC分类号： G06F19/00

CPC分类号： G16B20/00 ,  G16B40/00

摘要： Provided herein are methods for evaluating associations between candidate markers and a trait of interest in a plant population. In various embodiments, the plant population is a breeding population, particularly early stage breeding populations. The methods include obtaining a genotypic value for candidate markers and correlating the marker with the trait. Various association models can be used to evaluate the association, and include statistical methods relevant to the structure of plant breeding populations. Population structure may be accounted for in the association models by using Principle Component Analysis. Further provided is a novel statistical approach for association mapping in early stage breeding materials using a transmission disequilibrium based methodology. Markers identified using the methods of the invention can be used in marker assisted breeding and selection, for constructing genetic linkage maps, to identify genes contributing to a trait of interest, and for generating transgenic plants having a desired trait.

摘要翻译： 本文提供了用于评估候选标记与植物群体中感兴趣的性状之间的关联的方法。 在各种实施方案中，植物群体是育种群体，特别是早期育种群体。 所述方法包括获得候选标记的基因型值并将标记与性状相关联。 可以使用各种关联模型来评估关联，并且包括与植物育种种群结构相关的统计学方法。 人口结构可以通过使用主成分分析在关联模型中加以考虑。 进一步提供了一种用于使用基于传输不平衡的方法的早期育种材料中的关联定位的新颖的统计方法。 使用本发明的方法鉴定的标记物可用于标记辅助育种和选择，用于构建遗传连锁图谱，鉴定有助于感兴趣性状的基因以及产生具有期望性状的转基因植物。