Evidence map›Paper›PMID 35670810›Full record

ArticleAnnals of botany2022

Tracking population genetic signatures of local extinction with herbarium specimens.

Christoph Rosche, Annett Baasch, Karen Runge, Philipp Brade, Sabrina Träger, Christian Parisod, Isabell Hensen

Open access · bronzeAbstract read
In one paragraph

Article in Annals of botany, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
6.4field-weighted citation impact, top 3% 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

16 citing papers in PubMed, 35 citations in OpenAlex.

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  12. Challenges and Opportunities behind the Use ofPlants (Basel, Switzerland) · 2023
    Review
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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

7 authors at 3 institutions in 2 countries.

Christoph RoscheMartin Luther University Halle-Wittenberg, Institute of Biology/Geobotany and Botanical Garden, Große Steinstraße 79/80, 06108 Halle (Saale), Germany.
Annett BaaschAnhalt University of Applied Sciences, Department of Agriculture, Ecotrophology and Landscape Development, Strenzfelder Allee 28, 06406 Bernburg (Saale), Germany.
Karen RungeAnhalt University of Applied Sciences, Department of Agriculture, Ecotrophology and Landscape Development, Strenzfelder Allee 28, 06406 Bernburg (Saale), Germany.
Philipp BradeAnhalt University of Applied Sciences, Department of Agriculture, Ecotrophology and Landscape Development, Strenzfelder Allee 28, 06406 Bernburg (Saale), Germany.
Sabrina TrägerMartin Luther University Halle-Wittenberg, Institute of Biology/Geobotany and Botanical Garden, Große Steinstraße 79/80, 06108 Halle (Saale), Germany.
Christian ParisodUniversity of Fribourg, Department of Biology, Chemin du Musée 10, 1700 Fribourg, Switzerland.ORCID 0000-0001-8798-0897
Isabell HensenMartin Luther University Halle-Wittenberg, Institute of Biology/Geobotany and Botanical Garden, Große Steinstraße 79/80, 06108 Halle (Saale), Germany.
Anhalt University of Applied Sciences · DEGerman Centre for Integrative Biodiversity Research · DEUniversity of Fribourg · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsHabitat degradation and landscape fragmentation dramatically lower population sizes of rare plant species. Decreasing population sizes may, in turn, negatively affect genetic diversity and reproductive fitness, which can ultimately lead to local extinction of populations. Although such extinction vortex dynamics have been postulated in theory and modelling for decades, empirical evidence from local extinctions of plant populations is scarce. In particular, comparisons between current vs. historical genetic diversity and differentiation are lacking despite their potential to guide conservation management.

methodsWe studied the population genetic signatures of the local extinction of Biscutella laevigata subsp. gracilis populations in Central Germany. We used microsatellites to genotype individuals from 15 current populations, one ex situ population, and 81 herbarium samples from five extant and 22 extinct populations. In the current populations, we recorded population size and fitness proxies, collected seeds for a germination trial and conducted a vegetation survey. The latter served as a surrogate for habitat conditions to study how habitat dissimilarity affects functional connectivity among the current populations. KEY

resultsBayesian clustering revealed similar gene pool distribution in current and historical samples but also indicated that a distinct genetic cluster was significantly associated with extinction probability. Gene flow was affected by both the spatial distance and floristic composition of population sites, highlighting the potential of floristic composition as a powerful predictor of functional connectivity which may promote decision-making for reintroduction measures. For an extinct population, we found a negative relationship between sampling year and heterozygosity. Inbreeding negatively affected germination.

conclusionsOur study illustrates the usefulness of historical DNA to study extinction vortices in threatened species. Our novel combination of classical population genetics together with data from herbarium specimens, an ex situ population and a germination trial underlines the need for genetic rescue measures to prevent extinction of B. laevigata in Central Germany.

Indexed as

Gene FlowGenetics, PopulationBayes TheoremConservation of Natural ResourcesExtinction, BiologicalGenetic VariationInbreedingPopulation DensityBiscutella laevigata subsp. gracilisconservation geneticsex situ conservationextinction vortexfunctional connectivitygenetic diversity and differentiationherbarium specimenshistorical DNAinbreeding depressionisolation by distanceisolation by environmentmicrosatellites

Identifiers

PMID35670810
PMCPMC9292615
OpenAlexW4281860783

What OpenQuestion holds

Textmetadata
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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.