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A common genetic basis to the origin of the leaf economics spectrum and metabolic scaling allometry

Authors

  • François Vasseur,

    1. UMR759 Laboratoire d'Ecophysiologie des Plantes sous Stress Environnementaux (LEPSE), INRA, Montpellier SupAgro, Montpellier, France
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  • Cyrille Violle,

    1. Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, Arizona, USA
    2. Centre d'Ecologie Fonctionnelle et Evolutive, CNRS, UMR5175, Montpellier, France
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  • Brian J. Enquist,

    1. Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, Arizona, USA
    2. The Santa Fe Institute, Santa Fe, New Mexico, USA
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  • Christine Granier,

    1. UMR759 Laboratoire d'Ecophysiologie des Plantes sous Stress Environnementaux (LEPSE), INRA, Montpellier SupAgro, Montpellier, France
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  • Denis Vile

    Corresponding author
    • UMR759 Laboratoire d'Ecophysiologie des Plantes sous Stress Environnementaux (LEPSE), INRA, Montpellier SupAgro, Montpellier, France
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Correspondence: E-mail: denis.vile@supagro.inra.fr

Abstract

Many facets of plant form and function are reflected in general cross-taxa scaling relationships. Metabolic scaling theory (MST) and the leaf economics spectrum (LES) have each proposed unifying frameworks and organisational principles to understand the origin of botanical diversity. Here, we test the evolutionary assumptions of MST and the LES using a cross of two genetic variants of Arabidopsis thaliana. We show that there is enough genetic variation to generate a large fraction of variation in the LES and MST scaling functions. The progeny sharing the parental, naturally occurring, allelic combinations at two pleiotropic genes exhibited the theorised optimum ¾ allometric scaling of growth rate and intermediate leaf economics. Our findings: (1) imply that a few pleiotropic genes underlie many plant functional traits and life histories; (2) unify MST and LES within a common genetic framework and (3) suggest that observed intermediate size and longevity in natural populations originate from stabilising selection to optimise physiological trade-offs.

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