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Abstract
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.
Measurement(s) |
plant trait |
Technology Type(s) |
ImageJ |
Factor Type(s) |
Country • Sitename • Latitude • Longitude • Elevation |
Sample Characteristic - Organism |
Helianthus annuus var. macrocarpus • Helianthus annuus • Helianthus argophyllus • Helianthus niveus subsp. canescens (taxid: 74145) • Helianthus petiolaris subsp. fallax (taxi: 74150) • Helianthus petiolaris subsp. petiolaris (taxid: 74151) |
Sample Characteristic - Location |
United States of America • Canada |
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1 University of British Columbia, Department of Botany, Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830); University of British Columbia, Biodiversity Research Centre, Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830)
2 Technical University of Munich, Campus Straubing for Biotechnology and Sustainability, Bioinformatics, Straubing, Germany (GRID:grid.6936.a) (ISNI:0000000123222966); Weihenstephan-Triesdorf University of Applied Sciences, Straubing, Germany (GRID:grid.4819.4) (ISNI:0000 0001 0704 7467)
3 University of British Columbia, Department of Botany, Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830); University of British Columbia, Biodiversity Research Centre, Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830); University of Victoria, Department of Biology, Victoria, Canada (GRID:grid.143640.4) (ISNI:0000 0004 1936 9465)
4 University of British Columbia, Department of Botany, Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830); University of British Columbia, Biodiversity Research Centre, Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830); University of British Columbia, Department of Computer Science, Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830); University of British Columbia, Data Science Institute, Vancouver, Canada (GRID:grid.17091.3e) (ISNI:0000 0001 2288 9830)
5 Technical University of Munich, Campus Straubing for Biotechnology and Sustainability, Bioinformatics, Straubing, Germany (GRID:grid.6936.a) (ISNI:0000000123222966); Weihenstephan-Triesdorf University of Applied Sciences, Straubing, Germany (GRID:grid.4819.4) (ISNI:0000 0001 0704 7467); Technical University of Munich, Department of Informatics, Garching, Germany (GRID:grid.6936.a) (ISNI:0000000123222966)