The sunflower genome provides insights into oil metabolism, flowering and Asterid evolution

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dc.contributor.authorBadouin, Hélène
dc.contributor.authorGouzy, Jérôme
dc.contributor.authorGrassa, Christopher J.
dc.contributor.authorMurat, Florent
dc.contributor.authorStaton, S. Evan
dc.contributor.authorCottret, Ludovic
dc.contributor.authorLelandais-Brière, Christine
dc.contributor.authorOwens, Gregory Lawrence
dc.contributor.authorCarrère, Sébastien
dc.contributor.authorMayjonade, Baptiste
dc.contributor.authorLegrand, Ludovic
dc.contributor.authorGill, Navdeep
dc.contributor.authorKane, Nolan C.
dc.contributor.authorBowers, John E.
dc.contributor.authorHubner, Sariel
dc.contributor.authorBellec, Arnaud
dc.contributor.authorBérard, Aurélie
dc.contributor.authorBergès, Hélène
dc.contributor.authorBlanchet, Nicolas
dc.contributor.authorBoniface, Marie-Claude
dc.contributor.authoret al.
dc.date.accessioned2021-03-13T18:35:46Z
dc.date.available2021-03-13T18:35:46Z
dc.date.copyright2017en_US
dc.date.issued2017
dc.description.abstractThe domesticated sunflower, Helianthus annuus L., is a global oil crop that has promise for climate change adaptation, because it can maintain stable yields across a wide variety of environmental conditions, including drought1. Even greater resilience is achievable through the mining of resistance alleles from compatible wild sunflower relatives2,3, including numerous extremophile species4. Here we report a high-quality reference for the sunflower genome (3.6 gigabases), together with extensive transcriptomic data from vegetative and floral organs. The genome mostly consists of highly similar, related sequences5 and required single-molecule real-time sequencing technologies for successful assembly. Genome analyses enabled the reconstruction of the evolutionary history of the Asterids, further establishing the existence of a whole-genome triplication at the base of the Asterids II clade6 and a sunflower-specific whole-genome duplication around 29 million years ago7. An integrative approach combining quantitative genetics, expression and diversity data permitted development of comprehensive gene networks for two major breeding traits, flowering time and oil metabolism, and revealed new candidate genes in these networks. We found that the genomic architecture of flowering time has been shaped by the most recent whole-genome duplication, which suggests that ancient paralogues can remain in the same regulatory networks for dozens of millions of years. This genome represents a cornerstone for future research programs aiming to exploit genetic diversity to improve biotic and abiotic stress resistance and oil production, while also considering agricultural constraints and human nutritional needs8,9.en_US
dc.description.reviewstatusRevieweden_US
dc.description.scholarlevelFacultyen_US
dc.description.sponsorshipWe thank G. Kuhn for sharing his expertise in PacBio sequencing and H. Witsenboer for his help with the production of the Fingerprint-based physical map; the Genotoul bioinformatics platform Toulouse Midi-Pyrenees for providing help and computing resources, the common services of the LIPM for their support, and Genome Quebec Innovation Centre and Canada’s Michael Smith Genome Science Centre for 454 and Illumina sequencing; M. Scascitelli, M. Stewart, D. Ebert, J. Roeder, H. Shaffer, E. Gudger, B. Hsieh, S. Jackson, S. Rounsley, C. Feuillet, B. Barbazuk and M. Barker for their help and advice during the Genome Canada/Genome BC project; and D. Swanevelder for contributing to the sequencing of the sunflower association mapping populations; members of the International Consortium for Sunflower Genomics resources (2012–2015): Advanta, BASF, Biogemma, Dow, KWS, Pioneer and Syngenta companies and their sunflower project leaders; F. Bonnafous for the development of the statistical pipeline for GWAS and P. Castellanet, C. Henry, M. Laporte, J. Piquemal, M. Coque and T. André for the coordination of flowering time phenotyping on the sunflower hybrid panel (GWAS). This project was funded by the French National Research Agency (SUNYFUEL/ANR-07-GPLA-0022 and SUNRISE/ANR-11-BTBR-0005 projects), by the Midi-Pyrénées Region, the European Fund for Regional Development, the French Fund for Competitiveness Clusters (FUI), the Genoscope SystemSun project, Genome Canada and Genome BC’s Applied Genomics Research in Bioproducts or Crops (ABC) Competition, the NSF Plant Genome Program (DBI-0820451) and the International Consortium for Sunflower Genomics Resources.en_US
dc.identifier.citationBadouin, H., Gouzy, J., Grassa, C. J., Murat, F., Staton, S. E., Owens, G. L., & Langlade, N. B. (2017). The sunflower genome provides insights into oil metabolism, flowering and Asterid evolution. Nature, 546, 148-152. https://doi.org/10.1038/nature22380en_US
dc.identifier.urihttps://doi.org/10.1038/nature22380
dc.identifier.urihttp://hdl.handle.net/1828/12772
dc.language.isoenen_US
dc.publisherNatureen_US
dc.subject.departmentDepartment of Biology
dc.titleThe sunflower genome provides insights into oil metabolism, flowering and Asterid evolutionen_US
dc.typeArticleen_US

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