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Genetic basis of growth reaction to drought stress differs in contrasting high‐latitude treeline ecotones of a widespread conifer
- Abstract Climate change is increasing the frequency and intensity of drought events in many boreal forests. Trees are sessile organisms with a long generation time, which makes them vulnerable to fast climate change and hinders fast adaptations. Therefore, it is important to know how forests cope with drought stress and to explore the genetic basis of these reactions. We investigated three natural populations of white spruce (Picea glauca) in Alaska, located at one drought‐limited and two cold‐limited treelines with a paired plot design of one forest and one treeline plot. We obtained individual increment cores from 458 trees and climate data to assess dendrophenotypes, in particular the growth reaction to drought stress. To explore the genetic basis of these dendrophenotypes, we genotyped the individual trees at 3000 single nucleotide polymorphisms in candidate genes and performed genotype–phenotype association analysis using linear mixed models and Bayesian sparse linear mixed models. Growth reaction to drought stress differed in contrasting treeline populations. Therefore, the populations are likely to be unevenly affected by climate change. We identified 40 genes associated with dendrophenotypic traits that differed among the treeline populations. Most genes were identified in the drought‐limited site, indicating comparatively strong selection pressure of drought‐tolerant phenotypes. Contrasting patterns of drought‐associated genes among sampled sites and in comparison to Canadian populations in a previous study suggest that drought adaptation acts on a local scale. Our results highlight genes that are associated with wood traits which in turn are critical for the establishment and persistence of future forests under climate change.
Author: | Melanie Zacharias, Timo Pampuch, Benjamin Dauphin, Lars Opgenoorth, Carl Roland, Martin Schnittler, Martin WilmkingORCiD, Manuela Bog, Katrin Heer |
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URN: | urn:nbn:de:gbv:9-opus-76708 |
DOI: | https://doi.org/10.1111/mec.16648 |
ISSN: | 1365-294X |
Parent Title (English): | Molecular Ecology |
Publisher: | Wiley |
Place of publication: | Hoboken, NJ |
Document Type: | Article |
Language: | English |
Date of first Publication: | 2022/10/10 |
Release Date: | 2022/11/29 |
Tag: | Bayesian sparse linear mixed model; dendrophenotype; genotype–phenotype associations; genotyping‐by‐sequencing; linear mixed model |
Volume: | 31 |
Issue: | 20 |
First Page: | 5165 |
Last Page: | 5181 |
Faculties: | Mathematisch-Naturwissenschaftliche Fakultät / Institut für Botanik und Landschaftsökologie & Botanischer Garten |
Collections: | weitere DFG-förderfähige Artikel |
Licence (German): | Creative Commons - Namensnennung-Nicht kommerziell |