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Identification of Molecular Markers for Selected Wood Properties of Norway Spruce Picea abies L. (Karst.) I. Wood Density Cover

Identification of Molecular Markers for Selected Wood Properties of Norway Spruce Picea abies L. (Karst.) I. Wood Density

Open Access
|Oct 2017

Abstract

The identification of AFLP markers and their subsequent conversion to SCAR-markers linked to wood density of Norway Spruce (Picea abies L [Karst.]) is described for the first time. In AFLP-analyses, 102 different primer enzyme combinations were screened in a bulked segregant approach comparing individuals with high and low wood density. A total of 107 polymorphic AFLP fragments were obtained between the DNA-pools. Twenty-three markers were selected for further analyses to verify their linkage to wood density based on individuals used for pool constitution and additional unrelated clonal material. For 15 markers, a significant linkage to wood density was confirmed by a two-sided Fisher’s-exact test. Four markers were converted into SCAR markers and validated for plant material assayed for wood density by X-ray microdensitometry. For each marker a monomorphic band was obtained using sets of nested primers or restriction site-specific primers (RSS), which include the AFLP-restriction recognition sites. For two markers that are linked to high wood density, a separation from unlinked size homologous marker-alleles was realized by a PCR-restriction approach. Validation of these markers in different full-sib families confirmed their usability to separate the classes for low and high wood density of Picea abies.

DOI: https://doi.org/10.1515/sg-2004-0008 | Journal eISSN: 2509-8934 | Journal ISSN: 0037-5349
Language: English
Page range: 45 - 50
Submitted on: Apr 19, 2002
Published on: Oct 27, 2017
Published by: Johann Heinrich von Thünen Institute
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2017 T. Markussen, A. Tusch, B. R. Stephan, M. Fladung, published by Johann Heinrich von Thünen Institute
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.