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

Author:

Korecký JiříORCID,Čepl Jaroslav,Stejskal Jan,Faltinová Zuzana,Dvořák Jakub,Lstibůrek Milan,El-Kassaby Yousry A.

Abstract

AbstractWe 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.

Funder

Národní Agentura pro Zemědělský Výzkum

Operational Programme Research, Development and Education

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

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