Spatial discontinuity of mountain systems and genetic structure of alpine plants: the Alps-Carpathians disjunction in a comparative phylogeographical context
Data files
Dec 01, 2025 version files 3.64 MB
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Arabis_alpina.str
284.84 KB
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Campanula_alpina.str
70.72 KB
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Carex_firma.str
56.86 KB
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Carex_sempervirens.str
263.05 KB
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Cerastium_uniflorum.str
56.32 KB
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Dryas_octopetala.str
177.66 KB
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Festuca_versicolor.str
45.28 KB
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Gentiana_nivalis.str
183.86 KB
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Geum_montanum.str
165.02 KB
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Geum_reptans.str
83.48 KB
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Gypsophila_repens.str
126.92 KB
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Hedysarum_hedysaroides.str
258 KB
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Hornungia_alpina.str
269.38 KB
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Hypochaeris_uniflora.str
118.38 KB
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Kalmia_procumbens.str
158.36 KB
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Luzula_alpinopilosa.str
293.64 KB
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Micranthes_stellaris.str
248.61 KB
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Neogaya_simplex.str
71.15 KB
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Oreojuncus_trifidus.str
122.52 KB
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Primula_minima.str
114.05 KB
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Ranunculus_alpestris.str
436.30 KB
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README.md
2.54 KB
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Soldanella_pusilla.str
32.23 KB
Abstract
Aim
In mountain areas, geographical isolation and history of mountain systems are believed to be among the most important factors which determine population distribution and connectivity. In this study we address the importance of discontinuity among mountain systems for intraspecific genetic structure by investigating whether the geographical disjunction between the Alps and the Carpathians (and the related habitat gap) is the primary factor that shapes the genetic structure of the high-mountain plant populations. We compare the large-scale genetic structure of alpine plants from these two parts of the European Alpine System concerning the location of the main genetic split in the studied species, large-scale patterns of phylogeographical lineages and potential factors influencing their distribution.
Location
The Alps and the Carpathians
Taxon
22 alpine/subalpine vascular plant species
Methods
We performed Bayesian population structure analysis on genome-wide genotyping (AFLP) data and reconstructed relationships between individuals and populations using the PCoA and Neighbour Joining. We also performed AMOVA to estimate the contribution of genetic variation among regions. Based on these analyses, we examined the location of primary and lower-level phylogeographical breaks.
Results
A clear primary genetic split between the Alps and the Carpathians was observed in three species (14% of studied species). In seventeen species (77%) we identified other genetic patterns or, in some cases, we did not observe any geographical pattern (two species, 9%). We found no specific pattern of biological traits that are correlated with genetic split between the Alps and the Carpathians.
Conclusions
The geographical gap between the Alps and the Carpathians is not a primary factor in shaping the genetic structure of the regional high-mountain flora as it aligns with a first-rank phylogeographic break in a minority of species. The genetic division between the Alps and the Carpathians appears mostly at higher K values, showing that internal complexity of these large mountain systems plays a no less important role. Several patterns of large-scale distribution of intraspecific lineages were detected, including connections between the Carpathians and the nearest Eastern Alps but also historical links of the Carpathians with Southern and Western Alps through latitudinally extended genetic groups.
https://doi.org/10.5061/dryad.vdncjsz5w
Description of the data and file structure
Structure datasets based on AFLP markers from https://doi.org/10.5061/dryad.s4q6s. Only species occurring in the Alps and the Carpathians were retained. The original dataset contained separate structure files for both mountain ranges, thus the files were merged. In the case of two species (Gypsophila repens and Oreojuncus trifidus), we removed a few outlier individuals (4 and 14 individuals, respectively) based on PCoA, as they likely resulted from genotyping errors.
Files
The resulting dataset consists of the following files:
- Arabis_alpina.str
- Campanula_alpina.str
- Carex_firma.str
- Carex_sempervirens.str
- Cerastium_uniflorum.str
- Dryas_octopetala.str
- Festuca_versicolor.str
- Gentiana_nivalis.str
- Geum_montanum.str
- Geum_reptans.str
- Gypsophila_repens.str
- Hedysarum_hedysaroides.str
- Hornungia_alpina.str
- Hypochaeris_uniflora.str
- Kalmia_procumbens.str
- Luzula_alpinopilosa.str
- Micranthes_stellaris.str
- Neogaya_simplex.str
- Oreojuncus_trifidus.str
- Primula_minima.str
- Ranunculus_alpestris.str
- Soldanella_pusilla.str
The file name denotes the species name. Files contain AFLP data (1/0 matrices) for each species. The first row consists of L integers (0) to indicate the recessive allele at each of the L loci in the data set. The data for each individual is stored as 2 consecutive rows, first column contains the name of the individual, second the number of the population, columns from 3 onwards contain data for each locus (one per column). Missing data is coded by -9.
Original dataset: Taberlet, Pierre; Zimmermann, Niklaus E.; Englisch, Thorsten et al. (2023). Data from: Genetic diversity in widespread species is not congruent with species richness in alpine plant communities [Dataset]. Dryad. https://doi.org/10.5061/dryad.s4q6s
The work has been published as: Janiczek, A., Suchan, T., Paul, W., IntraBioDiv Consortium and Ronikier, M. (2025), Spatial Discontinuity of Mountain Systems and Genetic Structure of Alpine Plants: The Alps–Carpathians Disjunction in a Comparative Phylogeographical Context. J Biogeogr, 52: e15122. https://doi.org/10.1111/jbi.15122
Structure datasets based on AFLP markers from https://doi.org/10.5061/dryad.s4q6s with only the species occurring in the Alps and the Carpathians. Datasets for both mountain ranges were merged. In the case of two species (Gypsophila repens and Oreojuncus trifidus), we removed a few outlier individuals (4 and 14 individuals, respectively) based on PCoA, as they likely resulted from genotyping errors.
Original dataset: Taberlet, Pierre; Zimmermann, Niklaus E.; Englisch, Thorsten et al. (2023). Data from: Genetic diversity in widespread species is not congruent with species richness in alpine plant communities [Dataset]. Dryad. https://doi.org/10.5061/dryad.s4q6s
