DNA-based tracking of historical introductions of forest trees: the case of European beech (Fagus sylvatica L.) in Lithuania

Kembrytė, Rūta; Danusevičius, Darius; Buchovska, Jurata; Baliuckas, Virgilijus; Kavaliauskas, Darius; Fussi, Barbara; Kempf, Marta

doi:10.1007/s10342-020-01341-0

Cited by 6 publications

(4 citation statements)

References 54 publications

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“…Absence of isolation-by-distance supported this view. Reasons for this lacking population structure, also observed in other studies on beech 35 , are likely wind pollination 36 , partially over large distances 37 , but also management practices that included long-range seedling and seed exchange 38,39 . The effective absence of population structure, high genetic diversity, wind pollination by many partners over large spatial ranges, and extremely high number of offspring assure that most genetic diversity in F. sylvatica should be practically present everywhere all of the time.…”

Section: Discussionmentioning

confidence: 82%

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Phenotypic drought stress prediction of European beech (Fagus sylvatica) by genomic prediction and remote sensing

Pfenninger

Langan

Feldmeyer

et al. 2023

Preprint

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Current climate change species response models usually not include evolution. We integrated remote sensing with population genomics to improve phenotypic response prediction to drought stress in the key forest tree European beech (Fagus sylvatica L.). We used whole-genome sequencing of pooled DNA from natural stands along an ecological gradient from humid-cold to warm-dry climate. We phenotyped stands for leaf area index (LAI) and moisture stress index (MSI) for the period 2016-2022. We predicted this data with matching meteorological data and a newly developed genomic population prediction score in a Generalised Linear Model. Model selection showed that addition of genomic prediction decisively increased the explanatory power. We then predicted the response of beech to future climate change under evolutionary adaptation scenarios. A moderate climate change scenario would allow persistence of adapted beech forests, but not worst-case scenarios. Our approach can thus guide mitigation measures, such as allowing natural selection or proactive evolutionary management.

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Section: Discussionmentioning

confidence: 82%

“…Reasons for this lacking population structure, also observed in other studies on beech 35 , are likely wind pollination 36 , partially over large distances 37 , but also management practices that included long-range seedling and seed exchange 38, 39 .…”

Section: Discussionmentioning

confidence: 82%

Phenotypic drought stress prediction of European beech (Fagus sylvatica) by genomic prediction and remote sensing

Pfenninger

Langan

Feldmeyer

et al. 2023

Preprint

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“…Good candidates for such urban escapes are the two adjacent PAPI and ZAGA populations (northwest): lowest allelic diversity and heterozygosity values (Table 3, Figure S1), or the SVEK2 population in the former Eastern Prussia with the distinct morphology and the genetic identity outstanding from the adjacent SVEK1 and the remaining populations in this region (Figure 4). Use of nonlocal material for forestry was not uncommon in the former Eastern Prussia (Kembrytė et al, 2021).…”

Section: Within-population Diversity Is Geographically Variable In Lithuaniamentioning

confidence: 99%

Genetic signature of the natural gene pool of Tilia cordata Mill. in Lithuania: Compound evolutionary and anthropogenic effects

Danusevičius

Kembrytė

Buchovska

et al. 2021

Ecology and Evolution

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Tilia cordata Mill. is a valuable tree species enriching the ecological values of the coniferous‐dominated boreal forests in Europe. Following the historical decline, spreading of Tilia sp. is challenged by the elevated inbreeding and habitat fragmentation. We studied the geographical distribution of genetic diversity of Tilia cordata populations in Lithuania. We used 14 genomic microsatellite markers to genotype 543 individuals from 23 wild‐growing populations. We found that Tilia cordata retained high levels of genetic diversity (population F IS = 0–0.15, H o = 0.53–0.69, H e = 0.56–0.75). AMOVA, Bayesian clustering, and Monmonier's barrier detection indicate weak but significant differentiation among the populations ( F ST = 0.037***) into geographically interpretable clusters of (a) western Lithuania with high genetic heterogeneity but low genetic diversity, bottleneck effects, (b) relatively higher genetic diversity of Tilia cordata on rich and most soils of midland lowland, and (c) the most differentiated populations on poor soils of the coolest northeastern highland possessing the highest rare allele frequency but elevated inbreeding and bottleneck effects. Weak genetic differentiation among the Tilia cordata populations in Lithuania implies common ancestry, absence of strong adaptive gradients, and effective genetic exchange possible mediated via the riparian networks. A hypothesis on riparian networks as gene flow mediators in Tilia cordata was raised based on results of this study.

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“…In south-western Lithuania, European beech was introduced by German foresters already in the 18th century from various parts of the former German state [37,38]. Immediately south-west of Lithuania lays the present-day Kaliningrad region (earlier a German province of Eastern Prussia), which is a mild seaside lowland ideally fit for European beech [39].…”

Section: Introductionmentioning

confidence: 99%

Phenology Is Associated with Genetic and Stem Morphotype Variation in European Beech (Fagus sylvatica L.) Stands

Kembrytė

Danusevičius

Baliuckas

et al. 2022

Forests

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We studied the associations between the stem quality, phenology, and genetic structure by genotyping the phenotypic variation at 15 genomic SSR makers of 208 mature European beech trees in four artificially established stands in Lithuania. The genetic differentiation among the stands was significant (DEST = 0.029**). The stand NOR1 of Carpathian origin significantly differed from the remaining three stands of Bavarian origin at the highest 0.001 significance level. In most of the stands, the early flushing trees were of significantly worse stem quality. Within each of the stands, the Bayesian clustering identified 2 to 3 genetic groups, among which the differentiation was markedly stronger than between the stands (DEST 0.095*** to 0.142***). The genetic groups differed markedly in stem quality and phenology as well as inbreeding levels. We conclude that (a) the genetic structuring in European beech stands strongly depends on non-random mating owing to phenology variation among the relative groups, (b) due to strong relationship among phenology, adaptedness and stem morphotype, this genetic variation is reflected by the stem morphotype.

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DNA-based tracking of historical introductions of forest trees: the case of European beech (Fagus sylvatica L.) in Lithuania

Cited by 6 publications

References 54 publications

Phenotypic drought stress prediction of European beech (Fagus sylvatica) by genomic prediction and remote sensing

Phenotypic drought stress prediction of European beech (Fagus sylvatica) by genomic prediction and remote sensing

Genetic signature of the natural gene pool of Tilia cordata Mill. in Lithuania: Compound evolutionary and anthropogenic effects

Phenology Is Associated with Genetic and Stem Morphotype Variation in European Beech (Fagus sylvatica L.) Stands

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