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AraPheno and the AraGWAS Catalog 2020: a major database update including RNA-Seq and knockout mutation data for Arabidopsis thaliana
Genome-wide association studies (GWAS) are integral for studying genotype-phenotype relationships and gaining a deeper understanding of the genetic architecture underlying trait variation. A plethora of genetic associations between distinct loci and various traits have been successfully discovered a...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145550/ https://www.ncbi.nlm.nih.gov/pubmed/31642487 http://dx.doi.org/10.1093/nar/gkz925 |
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author | Togninalli, Matteo Seren, Ümit Freudenthal, Jan A Monroe, J Grey Meng, Dazhe Nordborg, Magnus Weigel, Detlef Borgwardt, Karsten Korte, Arthur Grimm, Dominik G |
author_facet | Togninalli, Matteo Seren, Ümit Freudenthal, Jan A Monroe, J Grey Meng, Dazhe Nordborg, Magnus Weigel, Detlef Borgwardt, Karsten Korte, Arthur Grimm, Dominik G |
author_sort | Togninalli, Matteo |
collection | PubMed |
description | Genome-wide association studies (GWAS) are integral for studying genotype-phenotype relationships and gaining a deeper understanding of the genetic architecture underlying trait variation. A plethora of genetic associations between distinct loci and various traits have been successfully discovered and published for the model plant Arabidopsis thaliana. This success and the free availability of full genomes and phenotypic data for more than 1,000 different natural inbred lines led to the development of several data repositories. AraPheno (https://arapheno.1001genomes.org) serves as a central repository of population-scale phenotypes in A. thaliana, while the AraGWAS Catalog (https://aragwas.1001genomes.org) provides a publicly available, manually curated and standardized collection of marker-trait associations for all available phenotypes from AraPheno. In this major update, we introduce the next generation of both platforms, including new data, features and tools. We included novel results on associations between knockout-mutations and all AraPheno traits. Furthermore, AraPheno has been extended to display RNA-Seq data for hundreds of accessions, providing expression information for over 28 000 genes for these accessions. All data, including the imputed genotype matrix used for GWAS, are easily downloadable via the respective databases. |
format | Online Article Text |
id | pubmed-7145550 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-71455502020-04-13 AraPheno and the AraGWAS Catalog 2020: a major database update including RNA-Seq and knockout mutation data for Arabidopsis thaliana Togninalli, Matteo Seren, Ümit Freudenthal, Jan A Monroe, J Grey Meng, Dazhe Nordborg, Magnus Weigel, Detlef Borgwardt, Karsten Korte, Arthur Grimm, Dominik G Nucleic Acids Res Database Issue Genome-wide association studies (GWAS) are integral for studying genotype-phenotype relationships and gaining a deeper understanding of the genetic architecture underlying trait variation. A plethora of genetic associations between distinct loci and various traits have been successfully discovered and published for the model plant Arabidopsis thaliana. This success and the free availability of full genomes and phenotypic data for more than 1,000 different natural inbred lines led to the development of several data repositories. AraPheno (https://arapheno.1001genomes.org) serves as a central repository of population-scale phenotypes in A. thaliana, while the AraGWAS Catalog (https://aragwas.1001genomes.org) provides a publicly available, manually curated and standardized collection of marker-trait associations for all available phenotypes from AraPheno. In this major update, we introduce the next generation of both platforms, including new data, features and tools. We included novel results on associations between knockout-mutations and all AraPheno traits. Furthermore, AraPheno has been extended to display RNA-Seq data for hundreds of accessions, providing expression information for over 28 000 genes for these accessions. All data, including the imputed genotype matrix used for GWAS, are easily downloadable via the respective databases. Oxford University Press 2020-01-08 2019-10-23 /pmc/articles/PMC7145550/ /pubmed/31642487 http://dx.doi.org/10.1093/nar/gkz925 Text en © The Author(s) 2019. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Database Issue Togninalli, Matteo Seren, Ümit Freudenthal, Jan A Monroe, J Grey Meng, Dazhe Nordborg, Magnus Weigel, Detlef Borgwardt, Karsten Korte, Arthur Grimm, Dominik G AraPheno and the AraGWAS Catalog 2020: a major database update including RNA-Seq and knockout mutation data for Arabidopsis thaliana |
title | AraPheno and the AraGWAS Catalog 2020: a major database update including RNA-Seq and knockout mutation data for Arabidopsis thaliana |
title_full | AraPheno and the AraGWAS Catalog 2020: a major database update including RNA-Seq and knockout mutation data for Arabidopsis thaliana |
title_fullStr | AraPheno and the AraGWAS Catalog 2020: a major database update including RNA-Seq and knockout mutation data for Arabidopsis thaliana |
title_full_unstemmed | AraPheno and the AraGWAS Catalog 2020: a major database update including RNA-Seq and knockout mutation data for Arabidopsis thaliana |
title_short | AraPheno and the AraGWAS Catalog 2020: a major database update including RNA-Seq and knockout mutation data for Arabidopsis thaliana |
title_sort | arapheno and the aragwas catalog 2020: a major database update including rna-seq and knockout mutation data for arabidopsis thaliana |
topic | Database Issue |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7145550/ https://www.ncbi.nlm.nih.gov/pubmed/31642487 http://dx.doi.org/10.1093/nar/gkz925 |
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