Data in support of genetic architecture of glucosinolate variations in Brassica napus

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 (G...

Full description

Bibliographic Details
Main Authors: Varanya Kittipol, Zhesi He, Lihong Wang, Tim Doheny-Adams, Swen Langer, Ian Bancroft
Format: Article
Language:English
Published: Elsevier 2019-08-01
Series:Data in Brief
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340919307577
_version_ 1828525774514159616
author Varanya Kittipol
Zhesi He
Lihong Wang
Tim Doheny-Adams
Swen Langer
Ian Bancroft
author_facet Varanya Kittipol
Zhesi He
Lihong Wang
Tim Doheny-Adams
Swen Langer
Ian Bancroft
author_sort Varanya Kittipol
collection DOAJ
description 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’ (Kittipol et al., 2019). Keywords: Glucosinolates, Genetic associations, Associative transcriptomics, SNP markers, Gene expression markers, Population structure, Oilseed rape, Brassica napus
first_indexed 2024-12-11T21:12:51Z
format Article
id doaj.art-f49e473b93c042aea31db266aab172d5
institution Directory Open Access Journal
issn 2352-3409
language English
last_indexed 2024-12-11T21:12:51Z
publishDate 2019-08-01
publisher Elsevier
record_format Article
series Data in Brief
spelling doaj.art-f49e473b93c042aea31db266aab172d52022-12-22T00:50:41ZengElsevierData in Brief2352-34092019-08-0125Data in support of genetic architecture of glucosinolate variations in Brassica napusVaranya Kittipol0Zhesi He1Lihong Wang2Tim Doheny-Adams3Swen Langer4Ian Bancroft5Department of Biology, University of York, Heslington, York, YO10 5DD, UKDepartment of Biology, University of York, Heslington, York, YO10 5DD, UKDepartment of Biology, University of York, Heslington, York, YO10 5DD, UKDepartment of Biology, University of York, Heslington, York, YO10 5DD, UKDepartment of Biology, University of York, Heslington, York, YO10 5DD, UKCorresponding author.; Department of Biology, University of York, Heslington, York, YO10 5DD, UKThe 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’ (Kittipol et al., 2019). Keywords: Glucosinolates, Genetic associations, Associative transcriptomics, SNP markers, Gene expression markers, Population structure, Oilseed rape, Brassica napushttp://www.sciencedirect.com/science/article/pii/S2352340919307577
spellingShingle Varanya Kittipol
Zhesi He
Lihong Wang
Tim Doheny-Adams
Swen Langer
Ian Bancroft
Data in support of genetic architecture of glucosinolate variations in Brassica napus
Data in Brief
title Data in support of genetic architecture of glucosinolate variations in Brassica napus
title_full Data in support of genetic architecture of glucosinolate variations in Brassica napus
title_fullStr Data in support of genetic architecture of glucosinolate variations in Brassica napus
title_full_unstemmed Data in support of genetic architecture of glucosinolate variations in Brassica napus
title_short Data in support of genetic architecture of glucosinolate variations in Brassica napus
title_sort data in support of genetic architecture of glucosinolate variations in brassica napus
url http://www.sciencedirect.com/science/article/pii/S2352340919307577
work_keys_str_mv AT varanyakittipol datainsupportofgeneticarchitectureofglucosinolatevariationsinbrassicanapus
AT zhesihe datainsupportofgeneticarchitectureofglucosinolatevariationsinbrassicanapus
AT lihongwang datainsupportofgeneticarchitectureofglucosinolatevariationsinbrassicanapus
AT timdohenyadams datainsupportofgeneticarchitectureofglucosinolatevariationsinbrassicanapus
AT swenlanger datainsupportofgeneticarchitectureofglucosinolatevariationsinbrassicanapus
AT ianbancroft datainsupportofgeneticarchitectureofglucosinolatevariationsinbrassicanapus