Towards establishing a fungal economics spectrum in soil saprobic fungi

Tessa Camenzind (), Carlos A. Aguilar-Trigueros, Stefan Hempel, Anika Lehmann, Milos Bielcik, Diana R. Andrade-Linares, Joana Bergmann, Jeane Cruz, Jessie Gawronski, Polina Golubeva, Heike Haslwimmer, Linda Lartey, Eva Leifheit, Stefanie Maaß, Sven Marhan, Liliana Pinek, Jeff R. Powell, Julien Roy, Stavros D. Veresoglou, Dongwei Wang, Anja Wulf, Weishuang Zheng and Matthias C. Rillig
Additional contact information
Tessa Camenzind: Freie Universität Berlin
Carlos A. Aguilar-Trigueros: Western Sydney University
Stefan Hempel: Freie Universität Berlin
Anika Lehmann: Freie Universität Berlin
Milos Bielcik: Freie Universität Berlin
Diana R. Andrade-Linares: Helmholtz Zentrum München
Joana Bergmann: Leibniz Centre for Agricultural Landscape Research (ZALF)
Jeane Cruz: Freie Universität Berlin
Jessie Gawronski: Freie Universität Berlin
Polina Golubeva: Freie Universität Berlin
Heike Haslwimmer: University of Hohenheim
Linda Lartey: Freie Universität Berlin
Eva Leifheit: Freie Universität Berlin
Stefanie Maaß: Freie Universität Berlin
Sven Marhan: University of Hohenheim
Liliana Pinek: Freie Universität Berlin
Jeff R. Powell: Western Sydney University
Julien Roy: Freie Universität Berlin
Stavros D. Veresoglou: Sun Yat-sen University
Dongwei Wang: Freie Universität Berlin
Anja Wulf: Freie Universität Berlin
Weishuang Zheng: Peking University Shenzhen Institute
Matthias C. Rillig: Freie Universität Berlin

Nature Communications, 2024, vol. 15, issue 1, 1-13

Abstract: Abstract 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.

Date: 2024
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DOI: 10.1038/s41467-024-47705-7

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