DNA sequence variation and development of SNP markers in beech (Fagus sylvatica L.)
European beech ( Fagus sylvatica L.) is one of the most important deciduous tree species in Central Europe. The potential of beech to adapt to climate change, higher temperatures, and less precipitation in the summer months is still unknown. Most studies in beech used microsatellite, AFLP (amplified...
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Veröffentlicht in: | European journal of forest research 2012-11, Vol.131 (6), p.1761-1770 |
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Sprache: | eng |
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Zusammenfassung: | European beech (
Fagus sylvatica
L.) is one of the most important deciduous tree species in Central Europe. The potential of beech to adapt to climate change, higher temperatures, and less precipitation in the summer months is still unknown. Most studies in beech used microsatellite, AFLP (amplified fragment length polymorphism), or isozyme markers, which have only a restricted potential to analyze adaptation. Only few studies investigated genes probably involved in the adaptation to drought stress and bud phenology in beech. In this study, SNP (single nucleotide polymorphisms) markers were developed in order to analyze adaptation and their technical advantages compared to microsatellites and AFLPs were discussed. Partial sequences of ten candidate genes probably involved in drought stress and/or bud phenology were identified at the genomic level, and SNPs and indels (insertions/deletions) in coding and non-coding regions were analyzed. Plant material was sampled along a precipitation gradient in Germany. In total, 8,145 bp were sequenced and analyzed, 4,038 bp were located in exon and 4,107 bp in intron regions. 63 SNPs and 11 indels were detected, which are differently distributed over the studied gene regions. The nucleotide diversity ranged from 0 to 6.62 (π × 10
−3
) and is comparable to other tree species, whereas the mean nucleotide diversity (2.64) for
F. sylvatica
is comparatively low. These results will help to investigate the genetic basis of drought stress and bud burst and to conduct association mapping in natural populations. Furthermore, the detected SNPs can also be used for population genetic studies. |
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ISSN: | 1612-4669 1612-4677 |
DOI: | 10.1007/s10342-012-0630-9 |