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Summary

Published in Heredity 121(2): 142-154. https://doi.org/10.1038/s41437-018-0061-6

Insect herbivory may drive evolution by selecting for trees with heritable resistance against defoliation. The spruce budworm (Choristoneura fumiferana, SBW) is a highly damaging forest insect pest that can affect population structure of white spruce (Picea glauca) in North America. Resistance against SBW was recently described in white spruce and was linked to three constitutive resistance biomarkers: the phenolic compounds piceol and pungenol, and expression of a beta-glucosidase encoding gene (Pgβglu-1). We investigated the phenotypic variability and heritability of these resistance biomarkers and of picein, the precursor of piceol, in the foliage of 874 trees belonging to 33 full-sib families and 71 clonal lines under evaluation in seven field locations in Eastern Canada. We aimed to (i) determine their genetic control, (ii) estimate the genetic and phenotypic correlations among defense biomarkers, and (iii) determine whether their constitutive levels are associated with detrimental trade-offs on growth. Quantitative genetics analyses indicated that all four traits are moderately to highly heritable. The full-sib and clonal analyses showed that additive and non-additive genetic effects play major and minor roles, respectively. Positive genetic and phenotypic correlations between resistance biomarkers and primary growth indicated that there is no trade-off between total height and height increment and resistance traits, contradicting the GDBH (Growth Differentiation Balance Hypothesis). Our findings about the predominant additive genetic basis of the resistance biomarkers show that adaptive evolution of white spruce natural populations to resist to SBW is possible and that potentially important gains could also be expected from artificial selection.

Sector(s): 

Forests

Categorie(s): 

Scientific Article

Theme(s): 

Ecosystems and Environment, Forest Tree Breeding, Forestry Research, Seeds and Forest Seedlings Production, Silviculture

Departmental author(s): 

Author(s)

MÉNDEZ-ESPINOSA, Claudia, Geneviève PARENT, Patrick LENZ, André RAINVILLE, Laurence TREMBLAY, Greg ADAMS, Andrew MCCARTNEY, Éric BAUCE and John MACKAY

Year of publication :

2018

ISSN

1365-2540

Keywords :

biomarqueurs de résistance, contrôle génétique, corrélations génétiques, sélection artificielle, amélioration génétique des arbres, écosystèmes et environnement, production de semences et de plants, sylviculture et rendement des plantations, article scientifique de recherche forestière, adaptation, forest tree breeding, silviculture and yield of plantations, ecosystems and environment, seeds and forest seedling production, resistance biomarkers, genetic control, genetic correlations, artificial selection, tree improvement

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