Evidence map›Paper›PMID 42670305›Full record

ArticlePlant and soil2026

Digging for meaningful connections: associations between root phenotypes and rhizosphere microbial diversity in maize.

Elena Giuliano, Jagdeep Singh Sidhu, Ivan Lopez-Valdivia, Rafaela Feola Conz, Cody L DePew, Jonathan P Lynch, Johan Six, Martin Hartmann, Tania Galindo-Castañeda

Abstract read
In one paragraph

Article in Plant and soil, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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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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

9 authors.

Elena GiulianoInstitute of Agricultural Sciences, Department of Environmental System Science, ETH Zurich, 8092 Zurich, Switzerland.ORCID 0000-0003-3299-249X
Jagdeep Singh SidhuDepartment of Plant Science, The Pennsylvania State University, University Park, PA 16802 USA.ORCID 0000-0002-4672-3701
Ivan Lopez-ValdiviaDepartment of Plant Science, The Pennsylvania State University, University Park, PA 16802 USA.ORCID 0000-0003-1955-4989
Rafaela Feola ConzInstitute of Agricultural Sciences, Department of Environmental System Science, ETH Zurich, 8092 Zurich, Switzerland.ORCID 0000-0002-9793-5501
Cody L DePewDepartment of Plant Science, The Pennsylvania State University, University Park, PA 16802 USA.ORCID 0000-0003-4760-228X
Jonathan P LynchDepartment of Plant Science, The Pennsylvania State University, University Park, PA 16802 USA.ORCID 0000-0002-7265-9790
Johan SixInstitute of Agricultural Sciences, Department of Environmental System Science, ETH Zurich, 8092 Zurich, Switzerland.ORCID 0000-0001-9336-4185
Martin HartmannInstitute of Agricultural Sciences, Department of Environmental System Science, ETH Zurich, 8092 Zurich, Switzerland.ORCID 0000-0001-8069-5284
Tania Galindo-CastañedaInstitute of Agricultural Sciences, Department of Environmental System Science, ETH Zurich, 8092 Zurich, Switzerland.ORCID 0000-0001-6853-4162

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Drought threatens food security globally. Adaptive root phenotypes and microbiomes can improve maize ( Methods: We grew 22 maize inbred lines in the field under optimal water availability and drought imposed by excluding rain with rainout shelters. We quantified grain yield and measured root architectural and anatomical phenotypes on root crown and cross-section images obtained by laser ablation tomography, respectively. We characterized rhizosphere prokaryotic and fungal communities with DNA metabarcoding of ribosomal markers. Results: Rhizosphere microbial diversity predominantly associated with root anatomy rather than root architecture. Cortical parenchyma wall width explained 13.1% of the variance of the prokaryotic β-diversity and correlated with grain yield under control conditions. Under the same conditions, number of cortical cell files and metaxylem vessels explained 1.4%-2.1% of the variance of prokaryotic and fungal β-diversities. No effect of the root phenotypes was observed under drought. We found 248 significant correlations between microbial taxa abundances and root anatomical phenotypes, especially cortex-related phenotypes such as number of cell files and living cortical area. Overall, a greater number of correlations was found under control conditions. Conclusion: We identified root phenotypes explaining a small but significant percentage of the variance of the microbial β-diversity, mostly under optimal water availability. We showed that especially root anatomy is associated with rhizosphere microbial diversity in field-grown maize. Supplementary Information: The online version contains supplementary material available at https://doi.org/10.1007/s11104-026-08822-y.

Indexed as

DNA metabarcodingDroughtField experimentRhizosphere microbiomesRoot phenotypesZea mays L.

Identifiers

PMID42670305
PMCPMC13526101

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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.