Genetic diversity in managed subpopulations of Norway spruce [Picea abies (L.) Karst.]

Maghuly, Fatemeh; Pinsker, Wilhelm; Praznik, Werner; Fluch, Silvia

doi:10.1016/j.foreco.2005.10.025

Cited by 43 publications

(39 citation statements)

References 37 publications

(40 reference statements)

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“…It is significantly lower than that obtained by the research conducted by Nowakowska (2009), who received H o = 0.729 for spruce in Poland, but it was also significantly higher than that in other similar studies conducted using different molecular markers in Poland -H o = 0.129 (Lewandowski et al 1997), H o = 0.212 (Modrzyński, Prus-Głowacki 1998) (Maghuly et al 2006).…”

Section: Discussioncontrasting

confidence: 61%

“…The studied populations of spruce were characterised by small nuclear DNA differentiation in comparison with the results of research from Poland and Europe. Lewandowski et al (1997) received a genetic variation of 0.059 for the Beskidy spruce population, Modrzyński and Prus-Głowacki (1998) got F st = 0.063 for the Polish population, Nowakowska (2009) got the highest F st score of 0.088, whilst Maghuly et al (2006) in austria recorded F st = 0.014. The identical result of the genetic variation coefficient, as presented in this paper (F st = 0.028), was recorded by Lewandowski and Burczyk (2002) for Polish spruce populations, analysed on the basis of isoenzymatic markers.…”

Section: Discussionmentioning

confidence: 99%

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Genetic variability and health of Norway spruce stands in the Regional Directorate of the State Forests in Krosno

Gutkowska

Borys

Tereba

et al. 2017

Forest Research Papers

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Abstract. The study was conducted in 2015 in six spruce stands situated in different forest districts administratively belonging to the Regional Directorate of State Forests in Krosno. Each spruce population was represented by 30 trees and assessed in terms of their current health status. Genetic analyses were performed on shoot samples from each tree using nine nuclear DNA markers and one mitochondrial DNA marker (nad1). The health status of the trees was described according to the classification developed by Szczepkowski and Tarasiuk (2005) and the correlation between health classes and the level of genetic variability was computed with STATISTICA (α = 0.05).Nuclear DNA analyses revealed a low level of genetic variability among spruce populations (only 3% of the total genetic variation (F st = 0.028) and a high variability within populations (97%). The total heterozygosity in all stands (H t ) was calculated as 0.646. Based on UPGMA analysis, the most genetically similar populations are spruce stands in the Bieszczady National Park and the Ustrzyki Dolne Forest District, which have the smallest genetic divergence of all populations (D n = 0.0165).Our analysis of the mitochondrial gene nad1 revealed the presence of six different haplotypes 'a', 'a1', 'b', 'c', 'd' and 'd 1 '. Comprising 56% of all haplotypes, 'a' was the most common showing a predominant impact on spruce migration from the Carpathian area. The analysis based on mitochondrial markers (by Nei) revealed a heterozygosity of 0.525.Based on the observations of disease symptoms, 29% of the trees belong to health class 1, 30% to class 2, 28% to class 3 and class 4 contains 13% of trees. The comparison between health status and the level of genetic variation in the analysed stands showed a positive correlation. Spruce stands with better health were also characterised by a greater degree of genetic variability.Since most of the investigated spruce populations shared the mitochondrial haplotype 'a', we have ascertained their Hercynian-Carpathian origin. Only one stand (Cisna) had a high frequency (43.3%) of the Nordic haplotype 'c' suggesting that this provenance is derived from the Baltic post-glacial refugium of P. abies in europe.

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Section: Discussioncontrasting

confidence: 61%

Section: Discussionmentioning

confidence: 99%

Genetic variability and health of Norway spruce stands in the Regional Directorate of the State Forests in Krosno

Gutkowska

Borys

Tereba

et al. 2017

Forest Research Papers

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“…Acheré et al (2005) found alleles per locus for the 25 microsatellites studied in the range of 5-55 (25 in average). Maghuly et al (2006) detected 27 (in average) alleles within five loci. Allelic richness, total number of alleles in a population, is also reported in Table 4.…”

Section: Genetic Variablesmentioning

confidence: 97%

“…According to Maghuly et al (2006), populations of P. abies from high elevation exhibit more genetic variation than samples from middle and low elevations. This was not confirmed in the present research as the stands located at the lowest (Estonia �) and highest (Italy �) elevations possessed 54 alleles.…”

Section: Genetic Variablesmentioning

confidence: 99%

“…Genetic variability of P. abies from different populations in Europe has been previously investigated by means of several markers (Acheré et al 2005;Goncharenko et al 2005;Maghuly et al 2006;La Porta et al 2007). Also microsatellites, as markers especially suitable for studies of tree population genetics, have already been applied to highlight differences among populations (Scotti et al 2000(Scotti et al , 2002.…”

Section: Introductionmentioning

confidence: 99%

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Differences in wood properties of Picea abies L. Karst. in relation to site of provenance and population genetics

Sandak

Cantini

et al. 2014

Holzforschung

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Differences in wood properties of Picea abies L. Karst. in relation to site of provenance and population genetics Abstract: Chemical and physical characteristics of wood from six European populations of Picea abies were investigated taking into consideration their genetic differentiation determined by four microsatellites markers. The growth conditions of investigated spruce trees differed significantly. As a consequence, several adaptations were observed in samples from varying environments. The adaptation mechanisms include a variation to the annual rings morphology as well as the physical properties of the wood. It was proved that some properties, such as wood density or latewood ratio, are strictly correlated to the environmental variables. Results show that trees from geographically distinct populations present some diversity in the genotypes. It was also noticed that some trees did not share their genetic profile with other plants from the same location due to high intrapopulation variability. Samples from Finland possessed the lowest level of internal differentiation, while samples from northern Poland presented the lowest allele richness and were most divergent from the others. It was not possible to correlate any wood properties (chemical or physical) to genetic features of the population due to high intrapopulation diversity.

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The Use of EcoTILLING for the Genetic Improvement of Jatropha curcas L.

Maghuly¹,

Jankowicz-Cieślak

Till

et al. 2012

Jatropha, Challenges for a New Energy Crop

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Genetic diversity in managed subpopulations of Norway spruce [Picea abies (L.) Karst.]

Cited by 43 publications

References 37 publications

Genetic variability and health of Norway spruce stands in the Regional Directorate of the State Forests in Krosno

Genetic variability and health of Norway spruce stands in the Regional Directorate of the State Forests in Krosno

Differences in wood properties of Picea abies L. Karst. in relation to site of provenance and population genetics

The Use of EcoTILLING for the Genetic Improvement of Jatropha curcas L.

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