Evidence map›Paper›PMID 24905405›Full record

ArticleInternational journal of molecular sciences2014

Genetic variation of the endangered Gentiana lutea L. var. aurantiaca (Gentianaceae) in populations from the Northwest Iberian Peninsula.

Oscar González-López, Carlos Polanco, Zsuzsanna György, Andrzej Pedryc, Pedro A Casquero

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Article in International journal of molecular sciences, 2014. 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
–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

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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.

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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

5 authors.

Oscar González-LópezDepartment of Agrarian Engineering and Sciences, Natural Resources Institute, University of León, Av. Portugal 41, 24071 León, Spain. ogonl@unileon.es.
Carlos PolancoGenetics Lab, Department of Molecular Biology, University of León, Campus de Vegazana, 24071 León, Spain. carlos.polanco@unileon.es.
Zsuzsanna GyörgyDepartment of Genetics and Plant Breeding, Corvinus University of Budapest, Ménesi Street, H-1118 Budapest, Hungary. zsuzsanna.gyorgy@uni-corvinus.hu.
Andrzej PedrycDepartment of Genetics and Plant Breeding, Corvinus University of Budapest, Ménesi Street, H-1118 Budapest, Hungary. andrzej.pedryc@uni-corvinus.hu.
Pedro A CasqueroDepartment of Agrarian Engineering and Sciences, Natural Resources Institute, University of León, Av. Portugal 41, 24071 León, Spain. pedro-casquero@unileon.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gentiana lutea L. (G. lutea L.) is an endangered plant, patchily distributed along the mountains of Central and Southern Europe. In this study, inter-simple sequence repeat (ISSR) markers were used to investigate the genetic variation in this species within and among populations of G. lutea L. var. aurantiaca of the Cantabrian Mountains (Northwest Iberian Peninsula). Samples of G. lutea L. collected at different locations of the Pyrenees and samples of G. lutea L. subsp. vardjanii of the Dolomites Alps were also analyzed for comparison. Using nine ISSR primers, 106 bands were generated, and 89.6% of those were polymorphic. The populations from the Northwest Iberian Peninsula were clustered in three different groups, with a significant correlation between genetic and geographic distances. Gentiana lutea L. var. aurantiaca showed 19.8% private loci and demonstrated a remarkable level of genetic variation, both among populations and within populations; those populations with the highest level of isolation show the lowest genetic variation within populations. The low number of individuals, as well as the observed genetic structure of the analyzed populations makes it necessary to protect them to ensure their survival before they are too small to persist naturally.

Indexed as

Endangered SpeciesGenetic VariationDNA, PlantGentianaMicrosatellite RepeatsPhylogenyPolymorphism, GeneticSpainDNA, Plant

Identifiers

PMID24905405
PMCPMC4100139

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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.