Evidence map›Paper›PMID 42228914›Full record

ArticlePlant physiology2026

Metabolic modeling predicts synergistic growth benefits between arbuscular mycorrhizal fungi and theoretical N2-fixing rhizobia symbiosis in maize.

Joshua A M Kaste, Rourou Ji, Patrick Sydow, Ruairidh J H Sawers, Megan L Matthews

Abstract read
In one paragraph

Article in Plant physiology, 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

5 authors.

Joshua A M KasteDepartment of Civil and Environmental Engineering, Grainger College of Engineering, University of Illinois Urbana-Champaign, 205 N Mathews Ave., Urbana, IL 61801, United States.ORCID 0000-0003-1942-0315
Rourou JiDepartment of Civil and Environmental Engineering, Grainger College of Engineering, University of Illinois Urbana-Champaign, 205 N Mathews Ave., Urbana, IL 61801, United States.ORCID 0009-0002-0736-896X
Patrick SydowDepartment of Plant Science, College of Agricultural Sciences, The Pennsylvania State University, 102 Tyson Building, University Park, PA 16802, United States.ORCID 0009-0001-4761-5446
Ruairidh J H SawersDepartment of Plant Science, College of Agricultural Sciences, The Pennsylvania State University, 102 Tyson Building, University Park, PA 16802, United States.
Megan L MatthewsDepartment of Civil and Environmental Engineering, Grainger College of Engineering, University of Illinois Urbana-Champaign, 205 N Mathews Ave., Urbana, IL 61801, United States.ORCID 0000-0002-5513-9320

Funding

Enabling Nutrient Symbioses in AgricultureGates Agricultural Innovations INV-57461The genetic basis of maize response to arbuscular mycorrhizal fungi 2022-67013-38264United States Department of AgricultureUSDA National Institute of Food and Agriculture and Hatch Appropriations #1021929USDA National Institute of Food and Agriculture and Hatch Appropriations #PEN04734
6 · The paper itself

Abstract

Engineering a novel N2-fixing rhizobia symbiosis in cereal crops is a strategy being pursued to improve agricultural sustainability. However, if such a symbiosis were introduced, it would have to be economically viable in the context of plants' existing nutrient acquisition strategies, including existing symbioses with arbuscular mycorrhizal fungi (AMF) that most plants already engage in. It is important to understand how the metabolic costs and benefits from these symbioses with overlapping functions might impact plant growth when evaluating the potential benefits of this engineering strategy. To address this, we developed metabolic models describing how the relative growth rate of Zea mays is impacted by the AMF Rhizophagus irregularis and a hypothetical N2-fixing symbiosis with Bradyrhizobium diazoefficiens in isolation and in tandem. The metabolic models of the plant-AMF symbiosis and plant-AMF-rhizobia symbiosis are the first of their kind. To validate the AMF component of our model, we conducted a field evaluation comparing AMF-compatible and mutant AMF-incompatible maize hybrids. The empirically measured AMF-mediated growth benefit agreed well with model predictions. Our model of the rhizobium symbiosis predicted that the lower N content of cereal crops makes the growth penalty associated with acquiring nitrogen from rhizobia smaller than in legumes. Finally, the model of the plant-AMF-rhizobia symbiosis predicted positive synergies between rhizobia and AMF under nutrient-limited conditions but negative synergies under phosphorus-replete conditions. This indicates that these bioengineering strategies could improve cereal crop yields and may achieve greater gains in tandem, but soil nutrient levels and plant nitrogen requirements should be considered.

Indexed as

BradyrhizobiumModels, BiologicalMycorrhizaeNitrogen FixationSymbiosisZea maysFungiPlant Roots

Identifiers

PMID42228914
PMCPMC13390747

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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.