AraQTL - workbench and archive for systems genetics in Arabidopsis thaliana

被引:14
作者
Nijveen, Harm [1 ,2 ]
Ligterink, Wilco [2 ]
Keurentjes, Joost J. B. [3 ]
Loudet, Olivier [4 ]
Long, Jiao [1 ,5 ]
Sterken, Mark G. [5 ]
Prins, Pjotr [6 ]
Hilhorst, Henk W. [2 ]
de Ridder, Dick [1 ]
Kammenga, Jan E. [5 ]
Snoek, Basten L. [5 ]
机构
[1] Wageningen Univ, Bioinformat Grp, Droevendaalsesteeg 1, NL-6708 PB Wageningen, Netherlands
[2] Wageningen Univ, Lab Plant Physiol, Wageningen Seed Lab, Droevendaalsesteeg 1, NL-6708 PB Wageningen, Netherlands
[3] Wageningen Univ, Genet Lab, Droevendaalsesteeg 1, NL-6708 PB Wageningen, Netherlands
[4] Univ Paris Saclay, CNRS, AgroParisTech, Inst Jean Pierre Bourgin,INRA, F-78000 Versailles, France
[5] Wageningen Univ, Nematol Lab, Droevendaalsesteeg 1, NL-6708 Wageningen, Netherlands
[6] Univ Tennessee, Ctr Hlth Sci, Dept Genet Genom & Informat, Memphis, TN 38163 USA
关键词
genetical genomics; expression quantitative trait loci; system genetics; gene expression; coexpression; transcriptional regulation; Arabidopsis thaliana; NATURAL VARIATION DATA; REGULATORY NETWORK; EXPRESSION; PLANT; METABOLISM; GENOMICS; REVEALS; IDENTIFICATION; ENVIRONMENT; QTLS;
D O I
10.1111/tpj.13457
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Genetical genomics studies uncover genome-wide genetic interactions between genes and their transcriptional regulators. High-throughput measurement of gene expression in recombinant inbred line populations has enabled investigation of the genetic architecture of variation in gene expression. This has the potential to enrich our understanding of the molecular mechanisms affected by and underlying natural variation. Moreover, it contributes to the systems biology of natural variation, as a substantial number of experiments have resulted in a valuable amount of interconnectable phenotypic, molecular and genotypic data. A number of genetical genomics studies have been published for Arabidopsis thaliana, uncovering many expression quantitative trait loci (eQTLs). However, these complex data are not easily accessible to the plant research community, leaving most of the valuable genetic interactions unexplored as cross-analysis of these studies is a major effort. We address this problem with AraQTL (http://www. bioinformatics.nl/AraQTL/), an easily accessible workbench and database for comparative analysis and meta-analysis of all published Arabidopsis eQTL datasets. AraQTL provides a workbench for comparing, re-using and extending upon the results of these experiments. For example, one can easily screen a physical region for specific local eQTLs that could harbour candidate genes for phenotypic QTLs, or detect gene-by-environment interactions by comparing eQTLs under different conditions.
引用
收藏
页码:1225 / 1235
页数:11
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