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

Predicting the evolutionary potential of natural tree populations requires the estimation of heritability and genetic correlations among traits on which selection acts, as differences in evolutionary success between species may rely on differences for these genetic parameters. In situ estimates are...

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Veröffentlicht in:Tree genetics & genomes 2020-04, Vol.16 (2), p.1-23, Article 32
Hauptverfasser: Alexandre, Hermine, Truffaut, Laura, Ducousso, Alexis, Louvet, Jean-Marc, Nepveu, Gérard, Torres-Ruiz, José M., Lagane, Frédéric, Firmat, Cyril, Musch, Brigitte, Delzon, Sylvain, Kremer, Antoine
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container_title Tree genetics & genomes
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creator Alexandre, Hermine
Truffaut, Laura
Ducousso, Alexis
Louvet, Jean-Marc
Nepveu, Gérard
Torres-Ruiz, José M.
Lagane, Frédéric
Firmat, Cyril
Musch, Brigitte
Delzon, Sylvain
Kremer, Antoine
description Predicting the evolutionary potential of natural tree populations requires the estimation of heritability and genetic correlations among traits on which selection acts, as differences in evolutionary success between species may rely on differences for these genetic parameters. In situ estimates are expected to be more accurate than measures done under controlled conditions which do not reflect the natural environmental variance. The aim of the current study was to estimate three genetic parameters (i.e., heritability, evolvability, and genetic correlations) in a natural mixed oak stand composed of Quercus petraea and Quercus robur about 100 years old, for 58 traits of ecological, and functional relevance (growth, reproduction, phenology, physiology, resilience, structure, morphology, and defense). First, we estimated genetic parameters directly in situ using realized genomic relatedness of adult trees and parentage relationships over two generations to estimate the traits’ additive variance. Secondly, we benefited from existing ex situ experiments (progeny tests and conservation collection) installed with the same populations, thus allowing comparisons of in situ heritability estimates with more traditional methods. Heritability and evolvability estimates obtained with different methods varied substantially and showed large confidence intervals; however, we found that in situ were less precise than ex situ estimates, and assessments over two generations (with deeper relatedness) improved estimates of heritability while large sampling sizes are needed for accurate estimations. At the biological level, heritability values varied moderately across different ecological and functional categories of traits, and genetic correlations among traits were conserved over the two species. We identified limits for using realized genomic relatedness in natural stands to estimate the genetic variance, given the overall low variance of genetic relatedness and the rather low sampling sizes of currently used long-term genetic plots in forestry. These limits can be overcome if larger sample sizes are considered, or if the approach is extended over the next generation.
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subjects Biological evolution
Biomedical and Life Sciences
Biotechnology
Confidence intervals
Controlled conditions
Correlation
Ecology
Environmental Sciences
Estimates
Forestry
Genetic diversity
Genetic variance
Heritability
Life Sciences
Morphology
Original Article
Parameter estimation
Plant Breeding/Biotechnology
Plant Genetics and Genomics
Populations
Progeny
Quercus petraea
Quercus robur
Sampling
Tree Biology
title In situ estimation of genetic variation of functional and ecological traits in Quercus petraea and Q. robur
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