Evidence map›Paper›PMID 36680796›Full record

ArticleAnnals of botany2023

Historical biogeography and local adaptation explain population genetic structure in a widespread terrestrial orchid.

Alexandra Evans, Hanne de Kort, Rein Brys, Karl J Duffy, Jana Jersáková, Tiiu Kull, Marc-André Selosse, Spyros Tsiftsis, Julita Minasiewicz, Hans Jacquemyn

Open access · bronzeAbstract read
In one paragraph

Article in Annals of botany, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.8field-weighted citation impact, top 7% of its field
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

6 citing papers in PubMed, 12 citations in OpenAlex.

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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

10 authors at 8 institutions in 7 countries.

Alexandra EvansDepartment of Biology, Plant Conservation and Population Biology, Katholieke Universiteit Leuven, Leuven, Belgium.ORCID 0000-0001-9599-579X
Hanne de KortDepartment of Biology, Plant Conservation and Population Biology, Katholieke Universiteit Leuven, Leuven, Belgium.ORCID 0000-0003-2516-0134
Rein BrysResearch Institute for Forest and Nature, Geraardsbergen, Belgium.
Karl J DuffyDepartment of Biology, University of Naples Federico II, Complesso Monte Sant'Angelo, Naples 80126, Italy.
Jana JersákováDepartment of Biology of Ecosystems, Faculty of Science, University of South Bohemia, České Budějovice, Czech Republic.
Tiiu KullInstitute of Agricultural and Environmental Sciences, Estonian University of Life Sciences, 5 Kreutzwaldi, 51014 Tartu, Estonia.
Marc-André SelosseInstitut Systématique Evolution Biodiversité, Muséum national d'Histoire naturelle, CNRS, Sorbonne Université, Paris, France.
Spyros TsiftsisDepartment of Forest and Natural Environment Sciences, International Hellenic University, GR-66132, Drama, Greece.ORCID 0000-0002-3389-9089
Julita MinasiewiczDepartment of Plant Taxonomy and Nature Conservation, University of Gdansk, Wita Stwosza 59, 80-308 Gdansk, Poland.
Hans JacquemynDepartment of Biology, Plant Conservation and Population Biology, Katholieke Universiteit Leuven, Leuven, Belgium.
KU Leuven · BECentre National de la Recherche Scientifique · FREstonian University of Life Sciences · EEInternational Hellenic University · GRResearch Institute for Nature and Forest · BEUniversity of Gdańsk · PLUniversity of Naples Federico II · ITUniversity of South Bohemia in České Budějovice · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsHistorical changes in environmental conditions and colonization-extinction dynamics have a direct impact on the genetic structure of plant populations. However, understanding how past environmental conditions influenced the evolution of species with high gene flow is challenging when signals for genetic isolation and adaptation are swamped by gene flow. We investigated the spatial distribution and genetic structure of the widespread terrestrial orchid Epipactis helleborine to identify glacial refugia, characterize postglacial population dynamics and assess its adaptive potential.

methodsEcological niche modelling was used to locate possible glacial refugia and postglacial recolonization opportunities of E. helleborine. A large single-nucleotide polymorphism (SNP) dataset obtained through genotyping by sequencing was used to define population genetic diversity and structure and to identify sources of postglacial gene flow. Outlier analyses were used to elucidate how adaptation to the local environment contributed to population divergence. KEY

resultsThe distribution of climatically suitable areas was restricted during the Last Glacial Maximum to the Mediterranean, south-western Europe and small areas in the Alps and Carpathians. Within-population genetic diversity was high in E. helleborine (mean expected heterozygosity, 0.373 ± 0.006; observed heterozygosity, 0.571 ± 0.012; allelic richness, 1.387 ± 0.007). Italy and central Europe are likely to have acted as important genetic sources during postglacial recolonization. Adaptive SNPs were associated with temperature, elevation and precipitation.

conclusionsForests in the Mediterranean and Carpathians are likely to have acted as glacial refugia for Epipactis helleborine. Postglacial migration northwards and to higher elevations resulted in the dispersal and diversification of E. helleborine in central Europe and Italy, and to geographical isolation and divergent adaptation in Greek and Italian populations. Distinguishing adaptive from neutral genetic diversity allowed us to conclude that E. helleborine has a high adaptive potential to climate change and demonstrates that signals of adaptation and historical isolation can be identified even in species with high gene flow.

Indexed as

EcosystemGenetic VariationEuropeGenetics, PopulationGenetic Structuresenvironmental niche modellingenvironment association analysisEpipactis helleborinegenotype–environment associationsgenotyping by sequencinglandscape genomicslocal adaptationnatural selection

Identifiers

PMID36680796
PMCPMC10147325
OpenAlexW4317673892

What OpenQuestion holds

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Registered trials

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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.