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Titel:

HeliantHOME: a public and centralized database of phenotypic sunflower data

Dokumenttyp:
Forschungsdaten
Veröffentlichungsdatum:
10.03.2022
Verantwortlich:
Dominik G. Grimm
Autorinnen / Autoren:
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)
Institutionszugehörigkeit:
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
Herausgeber:
TUM
Identifikator:
doi:10.14459/2022mp1649709
Enddatum der Datenerzeugung:
08.07.2020
Fachgebiet:
BIO Biowissenschaften; DAT Datenverarbeitung, Informatik; NAT Naturwissenschaften (allgemein)
zusätzliche Fachgebiete:
Plant Biology
Quellen der Daten:
Experimente und Beobachtungen / experiments and observations; Abbildungen von Objekten / image of objects; Textdokumente / text documents
Andere Quellen der Daten:
Phenotypes and Images of Samples
Datentyp:
Bilder / images; Tabellen / tables
Methode der Datenerhebung:
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")
Beschreibung:
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...     »
Links:

This dataset relates to the publication: https://doi.org/10.1038/s41597-022-01842-0

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)

Schlagworte:
wild and cultivated sunflower phenotypes, high-resolution images
Technische Hinweise:
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/
Sprache:
en
Rechte:
by, http://creativecommons.org/licenses/by/4.0
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