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利用下一代测序技术鉴定负责挥发性成分自然变异的基因。

Identification of Genes Responsible for Natural Variation in Volatile Content Using Next-Generation Sequencing Technology.

作者信息

Amaya Iraida, Pillet Jeremy, Folta Kevin M

机构信息

Instituto Andaluz de Investigación y Formación Agraria y Pesquera, IFAPA-Centro de Churriana, Cortijo de la Cruz s/n, 29140, Málaga, Spain.

Horticultural Sciences Department, University of Florida, 1301 Fifield Hall, Gainesville, FL, 32611, USA.

出版信息

Methods Mol Biol. 2016;1363:37-45. doi: 10.1007/978-1-4939-3115-6_4.

DOI:10.1007/978-1-4939-3115-6_4
PMID:26577779
Abstract

Identification of the genes controlling the variation of key traits remains a challenge for plant researchers and represents a goal for the development of functional markers and their implementation in marker-assisted crop breeding. As an example we describe the identification of volatile organic compounds (VOCs) that segregate as single locus or mayor quantitative trait loci (QTL) in strawberry F1 segregating populations. Next, we describe a fast and efficient method for RNA extraction in strawberry that yields high-quality RNA for downstream RNA-seq analysis. Finally, two alternative methods for analysis of global transcript expression in contrasting lines will be described in order to identify the candidate gene and genes with differential expression using RNA-seq.

摘要

确定控制关键性状变异的基因仍然是植物研究人员面临的一项挑战,也是开发功能标记及其在作物标记辅助育种中应用的目标。作为一个例子,我们描述了在草莓F1分离群体中作为单基因座或主要数量性状基因座(QTL)分离的挥发性有机化合物(VOC)的鉴定。接下来,我们描述一种快速有效的草莓RNA提取方法,该方法可产生用于下游RNA测序分析的高质量RNA。最后,将描述两种用于分析对比品系中全局转录本表达的替代方法,以便使用RNA测序鉴定差异表达的候选基因。

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