José M Torres-Ruiz1, Antoine Kremer2, Madeline R Carins Murphy3, Tim Brodribb3, Laurent J Lamarque2, Laura Truffaut2, Fabrice Bonne4, Alexis Ducousso2, Sylvain Delzon2. 1. Universite Clermont-Auvergne, INRA, PIAF, 63000 Clermont-Ferrand, France. 2. Unité Mixte de Recherche Biodiversité Genes & Communautés (UMR 1202 BIOGECO), Institut National de la Recherche Agronomique (INRA) - Université de Bordeaux, 69 route d'Arcachon, Cestas F-33610, France. 3. School of Natural Sciences, University of Tasmania, Private Bag 55, Hobart, Tasmania 7001, Australia. 4. UMR SILVA, INRA, Nancy, France.
Abstract
The vulnerability of forest species and tree populations to climate change is related to the exposure of the ecosystem to extreme climatic conditions and to the adaptive capacity of the population to cope with those conditions. Adaptive capacity is a relatively under-researched topic within the forest science community, and there is an urgent need to understand to what extent particular combinations of traits have been shaped by natural selection under climatic gradients, potentially resulting in adaptive multi-trait associations. Thus, our aim was to quantify genetic variation in several leaf and woody traits that may contribute to multi-trait associations in which intra-specific variation could represent a source for species adaptation to climate change. A multi-trait approach was performed using nine Quercus petraea provenances originating from different locations that cover most of the species' distribution range over Europe and that were grown in a common garden. Multiple adaptive differences were observed between oak provenances but also some evolutionary stasis. In addition, our results revealed higher genetic differentiation in traits related to phenology and growth than in those related to xylem anatomy, physiology and hydraulics, for which no genetic differentiation was observed. The multiple associations between those traits and climate variables resulting from multivariate and path analyses suggest a multi-trait association largely involving phenological and growth traits for Q. petraea.
The vulnerability of forest species and tree populations to climate change is related to the exposure of the ecosystem to extreme climatic conditions and to the adaptive capacity of the population to cope with those conditions. n class="Disease">Adaptive capacity is a relatively under-researched topic within the forest science community, and there is an urgent need to understand to what extent particular combinations of traits have been shaped by natural selection under climatic gradients, potentially resulting in adaptive multi-trait associations. Thus, our aim was to quantify genetic variation in several leaf and woody traits that may contribute to multi-trait associations in which intra-specific variation could represent a source for species adaptation to climate change. A multi-trait approach was performed using nine Quercus petraea provenances originating from different locations that cover most of the species' distribution range over Europe and that were grown in a common garden. Multiple adaptive differences were observed between oak provenances but also some evolutionary stasis. In addition, our results revealed higher genetic differentiation in traits related to phenology and growth than in those related to xylem anatomy, physiology and hydraulics, for which no genetic differentiation was observed. The multiple associations between those traits and climate variables resulting from multivariate and path analyses suggest a multi-trait association largely involving phenological and growth traits for Q. petraea.
Authors: Ian J Wright; Peter B Reich; Mark Westoby; David D Ackerly; Zdravko Baruch; Frans Bongers; Jeannine Cavender-Bares; Terry Chapin; Johannes H C Cornelissen; Matthias Diemer; Jaume Flexas; Eric Garnier; Philip K Groom; Javier Gulias; Kouki Hikosaka; Byron B Lamont; Tali Lee; William Lee; Christopher Lusk; Jeremy J Midgley; Marie-Laure Navas; Ulo Niinemets; Jacek Oleksyn; Noriyuki Osada; Hendrik Poorter; Pieter Poot; Lynda Prior; Vladimir I Pyankov; Catherine Roumet; Sean C Thomas; Mark G Tjoelker; Erik J Veneklaas; Rafael Villar Journal: Nature Date: 2004-04-22 Impact factor: 49.962
Authors: J Martínez-Vilalta; H Cochard; M Mencuccini; F Sterck; A Herrero; J F J Korhonen; P Llorens; E Nikinmaa; A Nolè; R Poyatos; F Ripullone; U Sass-Klaassen; R Zweifel Journal: New Phytol Date: 2009-07-21 Impact factor: 10.151
Authors: José M Torres-Ruiz; Steven Jansen; Brendan Choat; Andrew J McElrone; Hervé Cochard; Timothy J Brodribb; Eric Badel; Regis Burlett; Pauline S Bouche; Craig R Brodersen; Shan Li; Hugh Morris; Sylvain Delzon Journal: Plant Physiol Date: 2014-11-06 Impact factor: 8.340
Authors: Brendan Choat; Steven Jansen; Tim J Brodribb; Hervé Cochard; Sylvain Delzon; Radika Bhaskar; Sandra J Bucci; Taylor S Feild; Sean M Gleason; Uwe G Hacke; Anna L Jacobsen; Frederic Lens; Hafiz Maherali; Jordi Martínez-Vilalta; Stefan Mayr; Maurizio Mencuccini; Patrick J Mitchell; Andrea Nardini; Jarmila Pittermann; R Brandon Pratt; John S Sperry; Mark Westoby; Ian J Wright; Amy E Zanne Journal: Nature Date: 2012-11-21 Impact factor: 49.962
Authors: Suzanne M Prober; Brad M Potts; Peter A Harrison; Georg Wiehl; Tanya G Bailey; João Costa E Silva; Meridy R Price; Jane Speijers; Dorothy A Steane; René E Vaillancourt Journal: Plants (Basel) Date: 2022-07-14