Details

Autor(en) / Beteiligte

• Nijveen, Harm
• Ligterink, Wilco
• Keurentjes, Joost J. B.
• Loudet, Olivier
• Long, Jiao
• Sterken, Mark G.
• Prins, Pjotr
• Hilhorst, Henk W.
• Ridder, Dick
• Kammenga, Jan E.
• Snoek, Basten L.

Titel

AraQTL – workbench and archive for systems genetics in Arabidopsis thaliana

Ist Teil von

• The Plant journal : for cell and molecular biology, 2017-03, Vol.89 (6), p.1225-1235

Ort / Verlag

England: Blackwell Publishing Ltd

Erscheinungsjahr

2017

Link zum Volltext

Quelle

MEDLINE

Beschreibungen/Notizen

• Summary 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. Significance Statement Mapping of heritable gene expression has uncovered many expression quantitative trait loci (eQTLs) underlying the genetic architecture of plant traits, yet most data are not easily accessible. Here we present AraQTL, an easily accessible online repository of eQTL datasets for comparative analysis and meta‐analysis of all published Arabidopsis eQTL datasets.