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Carbon–phosphorus exchange rate constrains density–speed trade-off in arbuscular mycorrhizal fungal growth

Abstract:
Symbiotic nutrient exchange between arbuscular mycorrhizal (AM) fungi and their host plants varies widely depending on their physical, chemical, and biological environment. Yet dissecting this context dependency remains challenging because we lack methods for tracking nutrients such as carbon (C) and phosphorus (P). Here, we developed an approach to quantitatively estimate C and P fluxes in the AM symbiosis from comprehensive network morphology quantification, achieved by robotic imaging and machine learning based on roughly 100 million hyphal shape measurements. We found that rates of C transfer from the plant and P transfer from the fungus were, on average, related proportionally to one another. This ratio was nearly invariant across AM fungal strains despite contrasting growth phenotypes but was strongly affected by plant host genotype. Fungal phenotype distributions were bounded by a Pareto front with a shape favoring specialization in an exploration–exploitation trade-off. This means AM fungi can be fast range expanders or fast resource extractors, but not both. Manipulating the C/P exchange rate by swapping the plant host genotype shifted this Pareto front, indicating that the exchange rate constrains possible AM fungal growth strategies. We show by mathematical modeling how AM fungal growth at fixed exchange rate leads to qualitatively different symbiotic outcomes depending on fungal traits and nutrient availability.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1073/pnas.2512182123

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Role:
Author
ORCID:
0000-0003-4533-2458
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Role:
Author
ORCID:
0009-0003-6974-3726
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Role:
Author
ORCID:
0009-0000-6755-2705


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Funder identifier:
https://doi.org/10.13039/501100003246
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Funder identifier:
https://doi.org/10.13039/100031446
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Funder identifier:
https://doi.org/10.13039/100012617
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Funder identifier:
https://doi.org/10.13039/100000952


Publisher:
National Academy of Sciences
Journal:
Proceedings of the National Academy of Sciences More from this journal
Volume:
123
Issue:
6
Article number:
e2512182123
Publication date:
2026-02-06
Acceptance date:
2025-12-22
DOI:
EISSN:
1091-6490
ISSN:
0027-8424


Language:
English
Keywords:
Pubs id:
2376573
Local pid:
pubs:2376573
Source identifiers:
3736202
Deposit date:
2026-02-06
ARK identifier:
This ORA record was generated from metadata provided by an external service. It has not been edited by the ORA Team.

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