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HeliantHOME, a public and centralized database of phenotypic sunflower data

  • Natalia Bercovich
  • , Nikita Genze
  • , Marco Todesco
  • , Gregory L. Owens
  • , Jean Sébastien Légaré
  • , Kaichi Huang
  • , Loren H. Rieseberg
  • , Dominik G. Grimm
  • University of British Columbia
  • Technical University of Munich
  • Hochschule Weihenstephan-Triesdorf
  • University of Victoria

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

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.

Original languageEnglish
Article number735
JournalScientific Data
Volume9
Issue number1
DOIs
StatePublished - Dec 2022

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