Evidence map›Paper›PMID 37076814›Full record

ArticleBMC plant biology2023

Genome-environment associations along elevation gradients in two snowbed species of the North-Eastern Calcareous Alps.

Sabine Felkel, Karin Tremetsberger, Dietmar Moser, Juliane C Dohm, Heinz Himmelbauer, Manuela Winkler

Abstract read
In one paragraph

Article in BMC plant biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. DoEcology and evolution · 2026
    Article
  2. Article
  3. Review
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Sabine FelkelInstitute of Computational Biology, Department of Biotechnology, University of Natural Resources and Life Sciences, Vienna, Vienna, 1190, Austria.
Karin TremetsbergerInstitute of Botany, Department of Integrative Biology and Biodiversity Research, University of Natural Resources and Life Sciences, Vienna, Vienna, 1180, Austria.
Dietmar MoserBiodiversity Dynamics and Conservation Group, Department of Botany and Biodiversity Research, University of Vienna, Vienna, 1030, Austria.
Juliane C DohmInstitute of Computational Biology, Department of Biotechnology, University of Natural Resources and Life Sciences, Vienna, Vienna, 1190, Austria.
Heinz HimmelbauerInstitute of Computational Biology, Department of Biotechnology, University of Natural Resources and Life Sciences, Vienna, Vienna, 1190, Austria.
Manuela WinklerGLORIA Coordination, Institute for Interdisciplinary Mountain Research, Austrian Academy of Sciences, Vienna, 1190, Austria. manuela.winkler@boku.ac.at.ORCID http://orcid.org/0000-0002-8655-9555

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAnthropogenic climate change leads to increasing temperatures and altered precipitation and snowmelt patterns, especially in alpine ecosystems. To understand species' responses to climate change, assessment of genetic structure and diversity is crucial as the basis for the evaluation of migration patterns, genetic adaptation potential as well as the identification of adaptive alleles.

resultsWe studied genetic structure, diversity and genome-environment associations of two snowbed species endemic to the Eastern Alps with a large elevational range, Achillea clusiana Tausch and Campanula pulla L. Genotyping-by-sequencing was employed to assemble loci de novo, call variants and perform population genetic analyses. Populations of either species were distinguishable by mountain, and to some extent by elevation. We found evidence for gene flow between elevations. Results of genome-environment associations suggested similar selective pressures acting on both species, emanating mainly from precipitation and exposition rather than temperature.

conclusionsGiven their genetic structure and amount of gene flow among populations the two study species are suitable to serve as a model for genetic monitoring of climate change adaptation along an elevation gradient. Consequences of climate change will predominantly manifest via changes in precipitation and, thus, duration of snow cover in the snowbeds and indirectly via shrub encroachment accompanied by increasing shading of snowbeds at lower range margins. Assembling genomes of the study species and studying larger sample sizes and time series will be necessary to functionally characterize and validate the herein identified genomic loci putatively involved in adaptive processes.

Indexed as

EcosystemGene FlowAdaptation, PhysiologicalClimate ChangeGenomicsTemperatureAchillea clusianaAdaptationAlpine plantsCampanula pullaClimate changeEnvironmental association analysisGene flowGenetic structureGenotyping-by-sequencingIsolation by distance

Identifiers

PMID37076814
PMCPMC10114330

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.