Literature DB >> 26679342

In situ marker-based assessment of leaf trait evolutionary potential in a marginal European beech population.

A Bontemps1,2, F Lefèvre1, H Davi1, S Oddou-Muratorio1.   

Abstract

Evolutionary processes are expected to be crucial for the adaptation of natural populations to environmental changes. In particular, the capacity of rear edge populations to evolve in response to the species limiting conditions remains a major issue that requires to address their evolutionary potential. In situ quantitative genetic studies based on molecular markers offer the possibility to estimate evolutionary potentials manipulating neither the environment nor the individuals on which phenotypes are measured. The goal of this study was to estimate heritability and genetic correlations of a suite of leaf functional traits involved in climate adaptation for a natural population of the tree Fagus sylvatica, growing at the rear edge of the species range. Using two marker-based quantitative genetics approaches, we obtained consistent and significant estimates of heritability for leaf phenological (phenology of leaf flush), morphological (mass, area, ratio mass/area) and physiological (δ(13)C, nitrogen content) traits. Moreover, we found only one significant positive genetic correlation between leaf area and leaf mass, which likely reflected mechanical constraints. We conclude first that the studied population has considerable genetic diversity for important ecophysiological traits regarding drought adaptation and, second, that genetic correlations are not likely to impose strong genetic constraints to future population evolution. Our results bring important insights into the question of the capacity of rear edge populations to evolve.
© 2015 European Society For Evolutionary Biology. Journal of Evolutionary Biology © 2015 European Society For Evolutionary Biology.

Entities:  

Keywords:  Fagus sylvatica; ecophysiological traits; genetic correlations; heritability; in situ quantitative genetics; microsatellites

Mesh:

Substances:

Year:  2016        PMID: 26679342     DOI: 10.1111/jeb.12801

Source DB:  PubMed          Journal:  J Evol Biol        ISSN: 1010-061X            Impact factor:   2.411


  4 in total

1.  In situ estimation of genetic variation of functional and ecological traits in Quercus petraea and Q.robur.

Authors:  Hermine Alexandre; Laura Truffaut; Alexis Ducousso; Jean-Marc Louvet; Gérard Nepveu; José M Torres-Ruiz; Frédéric Lagane; Cyril Firmat; Brigitte Musch; Sylvain Delzon; Antoine Kremer
Journal:  Tree Genet Genomes       Date:  2020-02-28

2.  Phenotypic trait variation measured on European genetic trials of Fagus sylvatica L.

Authors:  T Matthew Robson; Marta Benito Garzón
Journal:  Sci Data       Date:  2018-07-31       Impact factor: 6.444

3.  How does contemporary selection shape oak phenotypes?

Authors:  Hermine Alexandre; Laura Truffaut; Etienne Klein; Alexis Ducousso; Emilie Chancerel; Isabelle Lesur; Benjamin Dencausse; Jean-Marc Louvet; Gérard Nepveu; José M Torres-Ruiz; Frédéric Lagane; Brigitte Musch; Sylvain Delzon; Antoine Kremer
Journal:  Evol Appl       Date:  2020-08-14       Impact factor: 5.183

4.  Inter-Individual Budburst Variation in Fagus sylvatica Is Driven by Warming Rate.

Authors:  Andrey V Malyshev; Ernst van der Maaten; Aron Garthen; Dennis Maß; Matthias Schwabe; Juergen Kreyling
Journal:  Front Plant Sci       Date:  2022-04-13       Impact factor: 6.627

  4 in total

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