Kittipol, Varanya, He, Zhesi orcid.org/0000-0001-8335-9876, Wang, Lihong et al. (3 more authors) (2019) Data in support of genetic architecture of glucosinolate variations in Brassica napus. Data in Brief. 104402. ISSN 2352-3409
Abstract
The transcriptome-based GWAS approach, Associative Transcriptomics (AT), which was employed to uncover the genetic basis controlling quantitative variation of glucosinolates in Brassica napus vegetative tissues is described. This article includes the phenotypic data of leaf and root glucosinolate (GSL) profiles across a diversity panel of 288 B. napus 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 ‘Genetic architecture of glucosinolate variation in Brassica napus’ [1].
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details. |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Biology (York) |
Depositing User: | Pure (York) |
Date Deposited: | 15 Aug 2019 09:00 |
Last Modified: | 17 Dec 2024 00:13 |
Published Version: | https://doi.org/10.1016/j.dib.2019.104402 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1016/j.dib.2019.104402 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:149738 |
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