Genetic diversity of Norway spruce ecotypes assessed by GBS-derived SNPs

Genetic diversity of Norway spruce ecotypes assessed by GBS-derived SNPs

Abstract We investigated the genetic structure of three phenotypically distinct ecotypic groups of Norway spruce (Picea abies) belonging to three elevational classes; namely, low- (acuminata), medium- (europaea), and high-elevation (obovata) form, each represented by 150 trees. After rigorous filter...

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Autores principales: Jiří Korecký, Jaroslav Čepl, Jan Stejskal, Zuzana Faltinová, Jakub Dvořák, Milan Lstibůrek, Yousry A. El-Kassaby
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/360af50bc05d4bbc8c757b341304c409
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spelling oai:doaj.org-article:360af50bc05d4bbc8c757b341304c4092021-12-05T12:13:18ZGenetic diversity of Norway spruce ecotypes assessed by GBS-derived SNPs10.1038/s41598-021-02545-z2045-2322https://doaj.org/article/360af50bc05d4bbc8c757b341304c4092021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-02545-zhttps://doaj.org/toc/2045-2322Abstract We investigated the genetic structure of three phenotypically distinct ecotypic groups of Norway spruce (Picea abies) belonging to three elevational classes; namely, low- (acuminata), medium- (europaea), and high-elevation (obovata) form, each represented by 150 trees. After rigorous filtering, we used 1916 Genotyping-by-Sequencing generated SNPs for analysis. Outputs from three multivariate analysis methods (Bayesian clustering algorithm implemented in STRUCTURE, Principal Component Analysis, and the Discriminant Analysis of Principal Components) indicated the presence of a distinct genetic cluster representing the high-elevation ecotypic group. Our findings bring a vital message to forestry practice affirming that artificial transfer of forest reproductive material, especially for stands under harsh climate conditions, should be considered with caution.Jiří KoreckýJaroslav ČeplJan StejskalZuzana FaltinováJakub DvořákMilan LstibůrekYousry A. El-KassabyNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Jiří Korecký
Jaroslav Čepl
Jan Stejskal
Zuzana Faltinová
Jakub Dvořák
Milan Lstibůrek
Yousry A. El-Kassaby
Genetic diversity of Norway spruce ecotypes assessed by GBS-derived SNPs
description Abstract We investigated the genetic structure of three phenotypically distinct ecotypic groups of Norway spruce (Picea abies) belonging to three elevational classes; namely, low- (acuminata), medium- (europaea), and high-elevation (obovata) form, each represented by 150 trees. After rigorous filtering, we used 1916 Genotyping-by-Sequencing generated SNPs for analysis. Outputs from three multivariate analysis methods (Bayesian clustering algorithm implemented in STRUCTURE, Principal Component Analysis, and the Discriminant Analysis of Principal Components) indicated the presence of a distinct genetic cluster representing the high-elevation ecotypic group. Our findings bring a vital message to forestry practice affirming that artificial transfer of forest reproductive material, especially for stands under harsh climate conditions, should be considered with caution.
format article
author Jiří Korecký
Jaroslav Čepl
Jan Stejskal
Zuzana Faltinová
Jakub Dvořák
Milan Lstibůrek
Yousry A. El-Kassaby
author_facet Jiří Korecký
Jaroslav Čepl
Jan Stejskal
Zuzana Faltinová
Jakub Dvořák
Milan Lstibůrek
Yousry A. El-Kassaby
author_sort Jiří Korecký
title Genetic diversity of Norway spruce ecotypes assessed by GBS-derived SNPs
title_short Genetic diversity of Norway spruce ecotypes assessed by GBS-derived SNPs
title_full Genetic diversity of Norway spruce ecotypes assessed by GBS-derived SNPs
title_fullStr Genetic diversity of Norway spruce ecotypes assessed by GBS-derived SNPs
title_full_unstemmed Genetic diversity of Norway spruce ecotypes assessed by GBS-derived SNPs
title_sort genetic diversity of norway spruce ecotypes assessed by gbs-derived snps
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/360af50bc05d4bbc8c757b341304c409
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