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A candidate gene association analysis identifies SNPs potentially involved in drought tolerance in European beech (Fagus sylvatica L.)
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 4620701
Author(s) Cuervo-Alarcon, Laura; Arend, Matthias; Müller, Markus; Sperisen, Christoph; Finkeldey, Reiner; Krutovsky, Konstantin V.
Author(s) at UniBasel Arend, Matthias
Year 2021
Title A candidate gene association analysis identifies SNPs potentially involved in drought tolerance in European beech (Fagus sylvatica L.)
Journal Scientific Reports
Volume 11
Number 1
Pages / Article-Number 2386
Abstract Studies of genetic variation underlying traits related to drought tolerance in forest trees are of great importance for understanding their adaptive potential under a climate change scenario. In this study, using a candidate gene approach, associations between SNPs and drought related traits were assessed in saplings of European beech (Fagus sylvatica L.) representing trees growing along steep precipitation gradients. The saplings were subjected to experimentally controlled drought treatments. Response of the saplings was assessed by the evaluation of stem diameter growth (SDG) and the chlorophyll fluorescence parameters F; V; /F; M; , PI; abs; , and PI; tot; . The evaluation showed that saplings from xeric sites were less affected by the drought treatment. Five SNPs (7.14%) in three candidate genes were significantly associated with the evaluated traits; saplings with particular genotypes at these SNPs showed better performance under the drought treatment. The SNPs were located in the cytosolic class I small heat-shock protein, CTR/DRE binding transcription factor, and isocitrate dehydrogenase genes and explained 5.8-13.4% of the phenotypic variance. These findings provide insight into the genetic basis of traits related to drought tolerance in European beech and could support the development of forest conservation management strategies under future climatic conditions.
Publisher Nature Publishing Group
ISSN/ISBN 2045-2322
edoc-URL https://edoc.unibas.ch/83399/
Full Text on edoc No
Digital Object Identifier DOI 10.1038/s41598-021-81594-w
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/33504857
ISI-Number WOS:000668347900024
Document type (ISI) Article
 
   

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26/04/2024