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Phenome Analysis in Plant Species Using Loss-of-Function and Gain-of-Function Mutants

机译:使用功能丧失和功能获得突变体的植物物种现象分析

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摘要

Analysis of genetic mutations is one of the most effective ways to investigate gene function. We now have methods that allow for mass production of mutant lines and cells in a variety of model species. Recently, large numbers of mutant lines have been generated by both ‘loss-of-function’ and ‘gain-of-function’ techniques. In parallel, phenotypic information covering various mutant resources has been acquired and released in web-based databases. As a result, significant progress in comprehensive pheno-type analysis is being made through the use of these tools. Arabidopsis and rice are two major model plant species in which genome sequencing projects have been completed. Arabidopsis is the most widely used experimental plant, with a large number of mutant resources and several examples of systematic phenotype analysis. Rice is a major crop species and is used as a model plant, with an increasing number of mutant resources. Other plant species are also being employed in functional genetics research. In this review, the present status of mutant resources for large-scale studies of gene function in plant research and the current perspective on using loss-of-function and gain-of-function mutants in phenome research will be discussed.
机译:遗传突变的分析是研究基因功能的最有效方法之一。现在,我们有了可以在各种模型物种中大规模生产突变株和细胞的方法。最近,“功能丧失”和“功能获得”技术都产生了大量突变株。同时,已经获取了涵盖各种突变体资源的表型信息,并将其发布在基于Web的数据库中。结果,通过使用这些工具,综合表型分析取得了重大进展。拟南芥和水稻是完成基因组测序项目的两种主要模式植物。拟南芥是使用最广泛的实验植物,具有大量的突变资源和一些系统表型分析的例子。水稻是主要的农作物品种,被用作典范植物,具有越来越多的突变资源。其他植物物种也正在功能遗传学研究中使用。在这篇综述中,将讨论在植物研究中进行大规模基因功能研究的突变体资源的现状,以及在表观研究中使用功能丧失和功能获得突变体的当前观点。

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  • 来源
    《Plant and Cell Physiology》 |2009年第7期|p.1215-1231|共17页
  • 作者单位

    1Gene Discovery Research Group, RIKEN Plant Science Center, Yokohama, Kanagawa, 230-0045 Japan 2Plant Functional Genomics Research Group, RIKEN Plant Science Center, Yokohama, Kanagawa, 230-0045 Japan 3Department of Applied Biological Science, Faculty of Science and Technology, Tokyo University of Science, Noda, Chiba, 278-8510 Japan;

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