Evidence map›Paper›PMID 42823722›Full record

ArticleMicrobiome2026

Soil iron modulates beneficial maize microbiome feedbacks in rotations with wheat.

Jan Waelchli, Henry Janse van Rensburg, Katja Stengele, Viola D'Adda, Selma Cadot, Veronica Caggìa, Valentin Gfeller, Klaus Schlaeppi

Abstract read
In one paragraph

Article in Microbiome, 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Jan WaelchliDepartment of Environmental Sciences, University of Basel, Basel, Switzerland.
Henry Janse van RensburgDepartment of Environmental Sciences, University of Basel, Basel, Switzerland.
Katja StengeleDepartment of Environmental Sciences, University of Basel, Basel, Switzerland.
Viola D'AddaDepartment of Environmental Sciences, University of Basel, Basel, Switzerland.
Selma CadotDivision of Agroecology and Environment, Agroscope, Zurich, Switzerland.
Veronica CaggìaInstitute of Plant Sciences, University of Bern, Bern, Switzerland.
Valentin GfellerInstitute of Plant Sciences, University of Bern, Bern, Switzerland.
Klaus SchlaeppiDepartment of Environmental Sciences, University of Basel, Basel, Switzerland. klaus.schlaeppi@unibas.ch.

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 189249
6 · The paper itself

Abstract

backgroundPlants change their surrounding soil microbiome by root exudates and these conditioned microbiomes impact the performance of the present as well as the next plant generation as for example in crop rotations. The big challenge is that such 'microbiome feedbacks' are highly context-dependent, i.e. they vary in strength and direction dependent on the local soil environment - of which the driving factor(s) remain unknown. Including maize in crop rotations involves benzoxazinoids (BXs), which are exuded from roots and alter the soil microbiome, which in turn affects growth and defence of the following crop.

resultsHere, we grew wild-type and BX-depleted maize in the field to differentially condition their soil microbiome and we found varying feedbacks on wheat performance dependent on the local physicochemical soil parameters. Using multivariate, correlation and modelling approaches and including additional data from two previous field experiments, we identified plant-available (PA) iron to be associated with BX-dependent microbiome feedbacks on wheat. The BX-conditioned soil microbiome caused wheat to grow taller at low levels of soil PA-iron but smaller at high levels. This finding was generalized by testing these maize microbiome feedbacks on the model plant Arabidopsis thaliana using soil batches containing different levels of iron. Consistent with wheat, a significant inverse relationship between soil PA-iron levels and plant growth was found. This relationship was experimentally validated with Arabidopsis thaliana grown at low levels of soil iron where iron supplementation abolished the beneficial feedback of the BX-conditioned soil microbiome.

conclusionTogether, these findings revealed that beneficial microbiome feedbacks occur at low levels of plant-available iron, i.e. when plants grow in a suboptimal soil, but they are lost when plants are nutritionally well supported. These results underscore the importance of iron availability in soil for beneficial microbial feedbacks on plant growth and predict agronomic benefits of incorporating maize in crop rotations on low iron soils. Video Abstract.

Indexed as

IronMicrobiotaSoilSoil MicrobiologyTriticumZea maysArabidopsisBacteriaBenzoxazinesPlant RootsBenzoxazinesIronSoilCrop rotationsPlant-available nutrientsPlant soil feedbacksRoot exudatesSoil heterogeneity

Identifiers

PMID42823722
PMCPMC13628717

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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.