Evidence map›Paper›PMID 42439808›Full record

ArticlePlant biology (Stuttgart, Germany)2026

Effect of selenium hyperaccumulation on the root endophytic and rhizosphere microbiome of two Astragalus species.

C Dotson, C Kurowski, M Grillo

Abstract read
In one paragraph

Article in Plant biology (Stuttgart, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

C DotsonDepartment of Biology, Loyola University Chicago, Chicago, Illinois, USA.
C KurowskiDepartment of Biology, Loyola University Chicago, Chicago, Illinois, USA.
M GrilloDepartment of Biology, Loyola University Chicago, Chicago, Illinois, USA.ORCID https://orcid.org/0000-0002-3701-1913

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metal hyperaccumulation is prevalent throughout plant evolution, particularly in the legume family (Fabaceae), and acts as a presumed chemical defence against herbivory. However, metal hyperaccumulation can have non-target impacts on other biological interactors, including plant-microbe interactions. This information is important given the interest in utilizing hyperaccumulating plants for phytoremediation of anthropogenically contaminated soils. Here we employ a greenhouse experiment manipulating selenium level along with 16S rRNA gene amplicon sequencing methods to explore the effect of selenium on the prokaryotic microbiome of the selenium hyperaccumulator Astragalus crotalariae and non-accumulator A. lentiginosus var. borreganus. Regardless of hyperaccumulator status, both plant species accumulated high levels of selenium in leaf tissue when grown on soils with high selenium levels. The effect of selenium on the prokaryotic communities was slightly more pronounced in A. lentiginosus than in A. crotalariae, explaining ~5% more of the observed variation. This effect of selenium addition is seen most prevalently in A. lentiginosus root endosphere communities, in which selenate treatment impacted alpha diversity and whole community composition. Many individual microbes were affected by selenium addition; notably, an ASV identified as Allomesorhizobium, the nodulation-inducing genera of Astragalus spp., appeared in significantly less abundance in roots of A. lentiginosus plants grown on highly seleniferous soils. This project highlights the potential significance of ecological partners in metal accumulating plants and the necessity of their consideration when using these plants for phytoremediation.

Indexed as

Astragalus PlantEndophytesMicrobiotaPlant RootsRhizosphereSeleniumPlant LeavesRNA, Ribosomal, 16SSoil MicrobiologyRNA, Ribosomal, 16SSeleniumAstragalusheavy metal hyperaccumulationmicrobiomeplant–microberhizobiaselenium

Identifiers

PMID42439808
PMCPMC13586643

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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.