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Bitte verwenden Sie diesen Link, wenn Sie dieses Dokument zitieren oder verlinken wollen: https://nbn-resolving.org/urn:nbn:de:gbv:9-opus-76708

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.

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Metadaten
Author: Melanie Zacharias, Timo Pampuch, Benjamin Dauphin, Lars Opgenoorth, Carl Roland, Martin Schnittler, Martin WilmkingORCiD, Manuela Bog, Katrin Heer
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):License LogoCreative Commons - Namensnennung-Nicht kommerziell