In situ estimation of genetic variation of functional and ecological traits in Quercus petraea and Q. robur
Open Access
- 27 February 2020
- journal article
- research article
- Published by Springer Science and Business Media LLC in Tree Genetics & Genomes
- Vol. 16 (2), 1-23
- https://doi.org/10.1007/s11295-019-1407-9
Abstract
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.Keywords
This publication has 58 references indexed in Scilit:
- Plant traits that predict resistance to herbivoresFunctional Ecology, 2010
- Efficient Methods to Compute Genomic PredictionsJournal of Dairy Science, 2008
- Estimating Heritabilities and Genetic Correlations: Comparing the ‘Animal Model’ with Parent-Offspring Regression Using Data from a Natural PopulationPLOS ONE, 2008
- Wild pedigrees: the way forwardProceedings Of The Royal Society B-Biological Sciences, 2008
- Variation des composés volatils du bois dans un peuplement mixte de chênes: forte différenciation interspécifique et forte structuration spatiale de la quantité de whisky-lactoneAnnals of Forest Science, 2007
- Effect of species and ecological conditions on ellagitannin content in oak wood from an even-aged and mixed stand ofQuercus roburL. andQuercus petraeaLiebl.Annals of Forest Science, 2006
- Testing marker‐based estimates of heritability in the wildMolecular Ecology, 2005
- Estimating genetic parameters in natural populations using the ‘animal model’Philosophical Transactions Of The Royal Society B-Biological Sciences, 2004
- Statistical confidence for likelihood‐based paternity inference in natural populationsMolecular Ecology, 1998
- Comparison of morphological characters and molecular markers for the analysis of hybridization in sessile and pedunculate oakAnnals of Forest Science, 1996