Towards establishing a fungal economics spectrum in soil saprobic fungi
Camenzind, T., Aguilar-Trigueros, C., Hempel, S., Lehmann, A., Bielcik, M., Andrade-Linares, D., Bergmann, J., dela Cruz, J., Gawronski, J., Golubeva, P., Haslwimmer, H., Lartey, L., Leifheit, E., Maaß, S., Marhan, S., Pinek, L., Powell, J., Roy, J., Veresoglou, S., . . . Rillig, M. (2024). Towards establishing a fungal economics spectrum in soil saprobic fungi. Nature Communications, 15, Article 3321. https://doi.org/10.1038/s41467-024-47705-7
Julkaistu sarjassa
Nature CommunicationsTekijät
Päivämäärä
2024Tekijänoikeudet
© 2024 the Authors
Trait-based frameworks are promising tools to understand the functional consequences of community shifts in response to environmental change. The applicability of these tools to soil microbes is limited by a lack of functional trait data and a focus on categorical traits. To address this gap for an important group of soil microorganisms, we identify trade-offs underlying a fungal economics spectrum based on a large trait collection in 28 saprobic fungal isolates, derived from a common grassland soil and grown in culture plates. In this dataset, ecologically relevant trait variation is best captured by a three-dimensional fungal economics space. The primary explanatory axis represents a dense-fast continuum, resembling dominant life-history trade-offs in other taxa. A second significant axis reflects mycelial flexibility, and a third one carbon acquisition traits. All three axes correlate with traits involved in soil carbon cycling. Since stress tolerance and fundamental niche gradients are primarily related to the dense-fast continuum, traits of the 2nd (carbon-use efficiency) and especially the 3rd (decomposition) orthogonal axes are independent of tested environmental stressors. These findings suggest a fungal economics space which can now be tested at broader scales.
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Springer NatureISSN Hae Julkaisufoorumista
2041-1723Asiasanat
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https://converis.jyu.fi/converis/portal/detail/Publication/213207059
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T.C. acknowledges funding by the Deutsche Forschungsgemeinschaft (grant number 465123751, SPP2322 SoilSystems). M.C.R. acknowledges funding from an ERC Advanced Grant (694368). Open Access funding enabled and organized by Projekt DEAL.Lisenssi
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