AraPheno: A public database for Arabidopsis thaliana phenotypes

Ümit Seren, Dominik Grimm, Joffrey Fitz, Detlef Weigel, Magnus Nordborg, Karsten Borgwardt, Arthur Korte

Research output: Contribution to journalArticlepeer-review

63 Scopus citations

Abstract

Natural genetic variation makes it possible to discover evolutionary changes that have been maintained in a population because they are advantageous. To understand genotype-phenotype relationships and to investigate trait architecture, the existence of both high-resolution genotypic and phenotypic data is necessary. Arabidopsis thaliana is a prime model for these purposes. This herb naturally occurs across much of the Eurasian continent and North America. Thus, it is exposed to a wide range of environmental factors and has been subject to natural selection under distinct conditions. Full genome sequencing data for more than 1000 different natural inbred lines are available, and this has encouraged the distributed generation of many types of phenotypic data. To leverage these data for meta analyses, AraPheno (https://arapheno.1001genomes.org) provide a central repository of population-scale phenotypes for A. thaliana inbred lines. AraPheno includes various features to easily access, download and visualize the phenotypic data. This will facilitate a comparative analysis of the many different types of phenotypic data, which is the base to further enhance our understanding of the genotype-phenotype map.

Original languageEnglish
Pages (from-to)D1054-D1059
JournalNucleic Acids Research
Volume45
Issue numberD1
DOIs
StatePublished - 1 Jan 2017
Externally publishedYes

Fingerprint

Dive into the research topics of 'AraPheno: A public database for Arabidopsis thaliana phenotypes'. Together they form a unique fingerprint.

Cite this