支持……中硫代葡萄糖苷变异遗传结构的数据。 （原文句子不完整，推测补充完整后是“支持……中硫代葡萄糖苷变异遗传结构的数据”，这里“……”表示原文缺失的部分）
Data in support of genetic architecture of glucosinolate variations in .
作者信息
Kittipol Varanya, He Zhesi, Wang Lihong, Doheny-Adams Tim, Langer Swen, Bancroft Ian
机构信息
Department of Biology, University of York, Heslington, York, YO10 5DD, UK.
出版信息
Data Brief. 2019 Aug 14;25:104402. doi: 10.1016/j.dib.2019.104402. eCollection 2019 Aug.
The transcriptome-based GWAS approach, Associative Transcriptomics (AT), which was employed to uncover the genetic basis controlling quantitative variation of glucosinolates in vegetative tissues is described. This article includes the phenotypic data of leaf and root glucosinolate (GSL) profiles across a diversity panel of 288 genotypes, as well as information on population structure and levels of GSLs grouped by crop types. Moreover, data on genetic associations of single nucleotide polymorphism (SNP) markers and gene expression markers (GEMs) for the major GSL types are presented in detail, while Manhattan plots and QQ plots for the associations of individual GSLs are also included. Root genetic association are supported by differential expression analysis generated from root RNA-seq. For further interpretation and details, please see the related research article entitled (Kittipol et al., 2019).
本文描述了基于转录组的全基因组关联研究方法——关联转录组学（AT），该方法用于揭示控制营养组织中硫代葡萄糖苷定量变异的遗传基础。本文包括了288种基因型的多样性面板中叶片和根中硫代葡萄糖苷（GSL）谱的表型数据，以及群体结构信息和按作物类型分组的GSL水平。此外，还详细介绍了主要GSL类型的单核苷酸多态性（SNP）标记和基因表达标记（GEM）的遗传关联数据，同时还包括了单个GSL关联的曼哈顿图和QQ图。根RNA测序产生的差异表达分析支持了根遗传关联。如需进一步解读和详细信息，请参阅相关研究文章（Kittipol等人，2019年）。
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