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Genome-wide identification and analysis of candidate genes for disease resistance in tomato.

机译:全基因组范围内的番茄抗病候选基因鉴定和分析。

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Tomato (Solanum lycopersicum L.) has served as an important model system for studying the genetics and molecular basis of resistance mechanisms in plants. An unprecedented challenge is now to capitalize on the genetic and genomic achievements obtained in this species. In this study, we show that information on the tomato genome can be used predictively to link resistance function with specific sequences. An integrated genomic approach for identifying new resistance (R) gene candidates was developed. An R gene functional map was created by co-localization of candidate pathogen recognition genes and anchoring molecular markers associated with resistance phenotypes. In-depth characterization of the identified pathogen recognition genes was performed. Finally, in order to highlight expressed pathogen recognition genes and to provide a first step in validation, the tomato transcriptome was explored and basic molecular analyses were conducted. Such methodology can help to better direct positional cloning, reducing the amount of effort required to identify a functional gene. The resulting candidate loci selected are available for exploiting their specific function.
机译:番茄(Solanum lycopersicum L.)已成为研究植物抗性机制的遗传学和分子基础的重要模型系统。现在,前所未有的挑战是如何利用该物种的遗传和基因组成就。在这项研究中,我们显示了番茄基因组上的信息可预测性地用于将抗性功能与特定序列联系起来。开发了一种用于鉴定新抗性(R)基因候选物的整合基因组方法。通过候选病原体识别基因和锚定与抗性表型相关的分子标记物的共定位来创建R基因功能图。进行了鉴定病原体识别基因的深入表征。最后,为了突出表达的病原体识别基因并提供验证的第一步,研究了番茄转录组并进行了基本的分子分析。这种方法可以帮助更好地指导位置克隆,减少鉴定功能基因所需的工作量。选择的结果候选基因座可用于开发其特定功能。

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