Literature DB >> 35040432

Genetic basis and dual adaptive role of floral pigmentation in sunflowers.

Marco Todesco1, Natalia Bercovich1, Amy Kim1, Ivana Imerovski1, Gregory L Owens1,2, Óscar Dorado Ruiz1, Srinidhi V Holalu3, Lufiani L Madilao4, Mojtaba Jahani1, Jean-Sébastien Légaré1, Benjamin K Blackman3, Loren H Rieseberg1.   

Abstract

Variation in floral displays, both between and within species, has been long known to be shaped by the mutualistic interactions that plants establish with their pollinators. However, increasing evidence suggests that abiotic selection pressures influence floral diversity as well. Here, we analyse the genetic and environmental factors that underlie patterns of floral pigmentation in wild sunflowers. While sunflower inflorescences appear invariably yellow to the human eye, they display extreme diversity for patterns of ultraviolet pigmentation, which are visible to most pollinators. We show that this diversity is largely controlled by cis-regulatory variation affecting a single MYB transcription factor, HaMYB111, through accumulation of ultraviolet (UV)-absorbing flavonol glycosides in ligules (the 'petals' of sunflower inflorescences). Different patterns of ultraviolet pigments in flowers are strongly correlated with pollinator preferences. Furthermore, variation for floral ultraviolet patterns is associated with environmental variables, especially relative humidity, across populations of wild sunflowers. Ligules with larger ultraviolet patterns, which are found in drier environments, show increased resistance to desiccation, suggesting a role in reducing water loss. The dual role of floral UV patterns in pollinator attraction and abiotic response reveals the complex adaptive balance underlying the evolution of floral traits.
© 2022, Todesco et al.

Entities:  

Keywords:  abiotic stress; adaptation; evolutionary biology; floral pigmentation; genetics; genomics; pollination; sunflower; sunflower (helianthus annuus); transcription factors

Mesh:

Substances:

Year:  2022        PMID: 35040432      PMCID: PMC8765750          DOI: 10.7554/eLife.72072

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.140


  58 in total

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

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Journal:  Nature       Date:  2017-05-22       Impact factor: 49.962

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Authors:  Brook T Moyers; Gregory L Owens; Gregory J Baute; Loren H Rieseberg
Journal:  Ann Bot       Date:  2017-07-01       Impact factor: 4.357

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Authors:  Nicky M Creux; Evan A Brown; Austin G Garner; Sana Saeed; C Lane Scher; Srinidhi V Holalu; Daniel Yang; Julin N Maloof; Benjamin K Blackman; Stacey L Harmer
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Authors:  Jennifer R Mandel; Savithri Nambeesan; John E Bowers; Laura F Marek; Daniel Ebert; Loren H Rieseberg; Steven J Knapp; John M Burke
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10.  Contrasting genetic architectures of schizophrenia and other complex diseases using fast variance-components analysis.

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  2 in total

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  2 in total

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