Evidence map›Paper›PMID 40333912›Full record

ArticlePloS one2025

Genetic and ecological characterization of the giant reed (Arundo donax) in Central Mexico.

Ricardo Colin, Erika Aguirre-Planter, Luis E Eguiarte

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. The Invasive Mechanism and Impact ofPlants (Basel, Switzerland) · 2025
    Review
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

3 authors.

Ricardo ColinDepartamento de Ecología Evolutiva, Laboratorio de Evolución Molecular y Experimental, Instituto de Ecología, Universidad Nacional Autónoma de México. Ciudad de México, México.ORCID 0000-0002-3887-3080
Erika Aguirre-PlanterDepartamento de Ecología Evolutiva, Laboratorio de Evolución Molecular y Experimental, Instituto de Ecología, Universidad Nacional Autónoma de México. Ciudad de México, México.
Luis E EguiarteDepartamento de Ecología Evolutiva, Laboratorio de Evolución Molecular y Experimental, Instituto de Ecología, Universidad Nacional Autónoma de México. Ciudad de México, México.ORCID 0000-0002-5906-9737

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Arundo donax (giant reed) is currently found in all tropical-subtropical and warm-temperate areas of the world. In Mexico, A. donax is a common introduced species, growing in a variety of climates and habitats. We used Inter Simple Sequence Repeats (ISSRs) markers to analyze 20 populations across different geographic regions of Mexico to estimate the geographic structure of its genetic variation, the levels of clonal diversity, and their predominant reproductive mode (clonal vs. sexual), and to explore environmental factors that may be related to genetic differentiation. In addition, we used bioclimatic variables to perform multivariate statistical analyses. We detected a total of 77 different genotypes, finding that all the analyzed populations are multiclonal (including from 3 to 9 different genotypes). The data suggest that sporadic sexual reproduction takes place in some populations. We found four main genetic groups and low levels of gene flow among clusters. Ecological characterization analyses indicate that the distribution and abundance of genotypes is structured and influenced by environmental factors, supporting the existence of three main ecological-genetic groups in Mexico (Central Highlands, Coasts, and North).

Indexed as

PoaceaeEcosystemGene FlowGenetics, PopulationGenetic VariationGenotypeGeographyMexicoMicrosatellite Repeats

Identifiers

PMID40333912
PMCPMC12057871

What OpenQuestion holds

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LicenceCC BY
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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.