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AraPheno: a public database for Arabidopsis thaliana phenotypes

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 d...

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Autores principales: Seren, Ümit, Grimm, Dominik, Fitz, Joffrey, Weigel, Detlef, Nordborg, Magnus, Borgwardt, Karsten, Korte, Arthur
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5210660/
https://www.ncbi.nlm.nih.gov/pubmed/27924043
http://dx.doi.org/10.1093/nar/gkw986
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author Seren, Ümit
Grimm, Dominik
Fitz, Joffrey
Weigel, Detlef
Nordborg, Magnus
Borgwardt, Karsten
Korte, Arthur
author_facet Seren, Ümit
Grimm, Dominik
Fitz, Joffrey
Weigel, Detlef
Nordborg, Magnus
Borgwardt, Karsten
Korte, Arthur
author_sort Seren, Ümit
collection PubMed
description 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.
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spelling pubmed-52106602017-01-05 AraPheno: a public database for Arabidopsis thaliana phenotypes Seren, Ümit Grimm, Dominik Fitz, Joffrey Weigel, Detlef Nordborg, Magnus Borgwardt, Karsten Korte, Arthur Nucleic Acids Res Database Issue 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. Oxford University Press 2017-01-04 2016-10-24 /pmc/articles/PMC5210660/ /pubmed/27924043 http://dx.doi.org/10.1093/nar/gkw986 Text en © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Database Issue
Seren, Ümit
Grimm, Dominik
Fitz, Joffrey
Weigel, Detlef
Nordborg, Magnus
Borgwardt, Karsten
Korte, Arthur
AraPheno: a public database for Arabidopsis thaliana phenotypes
title AraPheno: a public database for Arabidopsis thaliana phenotypes
title_full AraPheno: a public database for Arabidopsis thaliana phenotypes
title_fullStr AraPheno: a public database for Arabidopsis thaliana phenotypes
title_full_unstemmed AraPheno: a public database for Arabidopsis thaliana phenotypes
title_short AraPheno: a public database for Arabidopsis thaliana phenotypes
title_sort arapheno: a public database for arabidopsis thaliana phenotypes
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5210660/
https://www.ncbi.nlm.nih.gov/pubmed/27924043
http://dx.doi.org/10.1093/nar/gkw986
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