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Document type:
Forschungsdaten 
Publication date:
10.03.2022 
Authors:
Natalia Bercovich (1; 2), Nikita Genze (6; 7), Marco Todesco (1; 2), Gregory L. Owens (1; 2; 3), Jean-Sébastien Légaré (1; 2; 4; 5), Kaichi Huang (1; 2), Loren H. Rieseberg (1; 2), Dominik G. Grimm (6; 7; 8) 
Author affiliation:
1. Department of Botany, University of British Columbia, Vancouver, British Columbia, Canada.
2. Biodiversity Research Centre, University of British Columbia, Vancouver, Canada
3. Department of Biology, University of Victoria, BC, Canada
4. Department of Computer Science, University of British Columbia, Vancouver, British Columbia, Canada
5. Data Science Institute, University of British Columbia, Vancouver, British Columbia, Canada
6. Technical University of Munich, Campus Straubing for Biotechnology and Sustainability, Bioinformatics, Straubing, Germany
7. Weihenstephan-Triesdorf University of Applied Sciences, Straubing, Germany
8. Technical University of Munich, Department of Informatics, Garching, Germany 
Publisher:
TUM 
Title:
HeliantHOME: a public and centralized database of phenotypic sunflower data 
Time of production:
08.07.2020 
Subject area:
BIO Biowissenschaften; DAT Datenverarbeitung, Informatik; NAT Naturwissenschaften (allgemein) 
Other subject areas:
Plant Biology 
Resource type:
Experimente und Beobachtungen / experiments and observations; Abbildungen von Objekten / image of objects; Textdokumente / text documents 
Other resource types:
Phenotypes and Images of Samples 
Data type:
Bilder / images; Tabellen / tables 
Description:
The genus Helianthus (commonly known as sunflower) is large and diverse, and includes more than 50 wild species, most of which are native of North America. We have selected a handful of them for an in-depth study of genetic, phenotypic and environmental variation, as well as local adaptation, based on their ability to grow in a variety of, often extreme, environments, including deserts, sand dunes, and salt marshes (Todesco et al., Nature 2020). These data provide the basis for the construc...    »
 
Method of data assessment:
Detailed Information about the data assessment can be found in Todesco et al. Nature 2020 ( https://www.nature.com/articles/s41586-020-2467-6 ) and Bercovich et al. 2022 (siehe Feld "Links") 
Links:

A link to the corresponding article will be published later 

Data can be queried, filtered, and downloaded at: http://www.helianthome.org

Code for HeliantHome can be downloaded at: https://github.com/grimmlab/HeliantHome

Relevant publications for data included in HeliantHOME:

Todesco, M., Owens, G. L., Bercovich, N., Légaré, J. S., Soudi, S., Burge, D. O., ... & Rieseberg, L. H. (2020). Massive haplotypes underlie ecotypic differentiation in sunflowers. Nature, 584(7822), 602-607 (https://www.nature.com/articles/s41586-020-2467-6)

Hübner, S., Bercovich, N., Todesco, M., Mandel, J. R., Odenheimer, J., Ziegler, E., ... & Rieseberg, L. H. (2019). Sunflower pan-genome analysis shows that hybridization altered gene content and disease resistance. Nature plants, 5(1), 54-62.(https://www.nature.com/articles/s41477-018-0329-0)

Badouin, H., Gouzy, J., Grassa, C. J., Murat, F., Staton, S. E., Cottret, L., ... & Langlade, N. B. (2017). The sunflower genome provides insights into oil metabolism, flowering and Asterid evolution. Nature, 546(7656), 148-152 (https://www.nature.com/articles/nature22380)

Kane, N. C., Burke, J. M., Marek, L., Seiler, G., Vear, F., Baute, G., ... & Rieseberg, L. H. (2013). Sunflower genetic, genomic and ecological resources. Molecular Ecology Resources, 13(1), 10-20 (https://onlinelibrary.wiley.com/doi/10.1111/1755-0998.12023)

Mandel, J. R., Dechaine, J. M., Marek, L. F., & Burke, J. M. (2011). Genetic diversity and population structure in cultivated sunflower and a comparison to its wild progenitor, Helianthus annuus L. Theoretical and Applied Genetics, 123(5), 693-704. (https://link.springer.com/article/10.1007/s00122-011-1619-3)

 
Key words:
wild and cultivated sunflower phenotypes, high-resolution images 
Technical remarks:
View and download (138GB total, 16 Files)
The data server also offers downloads with FTP
The data server also offers downloads with rsync (password m1649709):
rsync rsync://m1649709@dataserv.ub.tum.de/m1649709/ 
Language:
en 
Rights:
by, http://creativecommons.org/licenses/by/4.0