New Tools for Genetic Analysis in Arabidopsis thaliana

该项目将产生一套新的、增强的工具（交通线），这将提高在模式植物拟南芥中进行遗传分析的速度和降低成本。 作为一个社区资源，这些线将促进大量的研究人员研究广泛的生物学问题，在这个重要的模式生物的研究，也将是有用的遗传学在高中或大学水平的基本概念教学。 该项目将为一名博士后研究员和一名本科生提供培训。交通线（TL）是拟南芥的遗传原种，含有表达绿色或红色荧光蛋白的连锁种子特异性转基因。TL通过使研究者能够使用干种子在感兴趣的区域中鉴定重组体而不需要分子分析来促进遗传作图。 这些品系使得在分离群体中鉴定重组染色体纯合的个体成为可能，增加了评估这些重组体表型的可靠性。 这些品系也将用于保持隐性致死等位基因。通过将紧密连锁的pNAP：：eGFP和pNAP：：dsRED插入物重组到单个染色体上，在哥伦比亚生态型中产生以1 mB间隔覆盖整个拟南芥基因组的150个TL。在兰茨贝格直立动物中也将产生覆盖基因组较大区域的10个TL。该项目由分子和细胞生物科学部遗传机制方案资助。

This project will produce a novel, enhanced set of tools (Traffic Lines) that will increase the speed and lower the cost of performing genetic analysis in the model plant, Arabidopsis thaliana. As a community resource, these lines will facilitate the research of a large number of investigators studying a wide range of biological problems in this important model organism, and will also be useful for teaching basic concepts in genetics at a high school or college level. The project will provide training for a postdoctoral fellow and undergraduate students.Traffic Lines (TLs) are genetic stocks of Arabidopsis thaliana that contain linked seed-specific transgenes expressing green or red fluorescent proteins. TLs facilitate genetic mapping by enabling investigators to identify recombinants in a region of interest using dry seeds, without the need for molecular analysis. The lines make it possible to identify individuals homozygous for recombinant chromosomes in a segregating population, increasing the reliability with which the phenotypes of these recombinants can be assessed. The lines also will be useful for maintaining recessive lethal alleles. 150 TLs covering the entire Arabidopsis genome in 1 mB intervals will be generated in the Columbia ecotype by recombining closely-linked pNAP::eGFP and pNAP::dsRED insertions onto a single chromosome. Ten TLs covering larger regions of the genome will also be generated in Landsberg erecta. Stocks useful for a high school or college laboratory exercise in genetic recombination will also be generated.This project is funded by the Genetic Mechanisms Program in the Division of Molecular and Cellular Biosciences.