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HeliantHOME, a public and centralized database of phenotypic sunflower data

Genomic studies often attempt to link natural genetic variation with important phenotypic variation. To succeed, robust and reliable phenotypic data, as well as curated genomic assemblies, are required. Wild sunflowers, originally from North America, are adapted to diverse and often extreme environm...

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Autores principales: Bercovich, Natalia, Genze, Nikita, Todesco, Marco, Owens, Gregory L., Légaré, Jean-Sébastien, Huang, Kaichi, Rieseberg, Loren H., Grimm, Dominik G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9712528/
https://www.ncbi.nlm.nih.gov/pubmed/36450875
http://dx.doi.org/10.1038/s41597-022-01842-0
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author Bercovich, Natalia
Genze, Nikita
Todesco, Marco
Owens, Gregory L.
Légaré, Jean-Sébastien
Huang, Kaichi
Rieseberg, Loren H.
Grimm, Dominik G.
author_facet Bercovich, Natalia
Genze, Nikita
Todesco, Marco
Owens, Gregory L.
Légaré, Jean-Sébastien
Huang, Kaichi
Rieseberg, Loren H.
Grimm, Dominik G.
author_sort Bercovich, Natalia
collection PubMed
description Genomic studies often attempt to link natural genetic variation with important phenotypic variation. To succeed, robust and reliable phenotypic data, as well as curated genomic assemblies, are required. Wild sunflowers, originally from North America, are adapted to diverse and often extreme environments and have historically been a widely used model plant system for the study of population genomics, adaptation, and speciation. Moreover, cultivated sunflower, domesticated from a wild relative (Helianthus annuus) is a global oil crop, ranking fourth in production of vegetable oils worldwide. Public availability of data resources both for the plant research community and for the associated agricultural sector, are extremely valuable. We have created HeliantHOME (http://www.helianthome.org), a curated, public, and interactive database of phenotypes including developmental, structural and environmental ones, obtained from a large collection of both wild and cultivated sunflower individuals. Additionally, the database is enriched with external genomic data and results of genome-wide association studies. Finally, being a community open-source platform, HeliantHOME is expected to expand as new knowledge and resources become available.
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spelling pubmed-97125282022-12-02 HeliantHOME, a public and centralized database of phenotypic sunflower data Bercovich, Natalia Genze, Nikita Todesco, Marco Owens, Gregory L. Légaré, Jean-Sébastien Huang, Kaichi Rieseberg, Loren H. Grimm, Dominik G. Sci Data Data Descriptor Genomic studies often attempt to link natural genetic variation with important phenotypic variation. To succeed, robust and reliable phenotypic data, as well as curated genomic assemblies, are required. Wild sunflowers, originally from North America, are adapted to diverse and often extreme environments and have historically been a widely used model plant system for the study of population genomics, adaptation, and speciation. Moreover, cultivated sunflower, domesticated from a wild relative (Helianthus annuus) is a global oil crop, ranking fourth in production of vegetable oils worldwide. Public availability of data resources both for the plant research community and for the associated agricultural sector, are extremely valuable. We have created HeliantHOME (http://www.helianthome.org), a curated, public, and interactive database of phenotypes including developmental, structural and environmental ones, obtained from a large collection of both wild and cultivated sunflower individuals. Additionally, the database is enriched with external genomic data and results of genome-wide association studies. Finally, being a community open-source platform, HeliantHOME is expected to expand as new knowledge and resources become available. Nature Publishing Group UK 2022-11-30 /pmc/articles/PMC9712528/ /pubmed/36450875 http://dx.doi.org/10.1038/s41597-022-01842-0 Text en © The Author(s) 2022, corrected publication 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Bercovich, Natalia
Genze, Nikita
Todesco, Marco
Owens, Gregory L.
Légaré, Jean-Sébastien
Huang, Kaichi
Rieseberg, Loren H.
Grimm, Dominik G.
HeliantHOME, a public and centralized database of phenotypic sunflower data
title HeliantHOME, a public and centralized database of phenotypic sunflower data
title_full HeliantHOME, a public and centralized database of phenotypic sunflower data
title_fullStr HeliantHOME, a public and centralized database of phenotypic sunflower data
title_full_unstemmed HeliantHOME, a public and centralized database of phenotypic sunflower data
title_short HeliantHOME, a public and centralized database of phenotypic sunflower data
title_sort helianthome, a public and centralized database of phenotypic sunflower data
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9712528/
https://www.ncbi.nlm.nih.gov/pubmed/36450875
http://dx.doi.org/10.1038/s41597-022-01842-0
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