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The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.

Fungal-bacterial diversity and microbiome complexity predict ecosystem functioning

Open access
Wagg, Cameron, Schlaeppi, Klaus, Banerjee, Samiran, Kuramae, Eiko E., van der Heijden, Marcel G. A.·2019·Nature Communications

Abstract

The soil microbiome is highly diverse and comprises up to one quarter of Earth’s diversity. Yet, how such a diverse and functionally complex microbiome influences ecosystem functioning remains unclear. Here we manipulated the soil microbiome in experimental grassland ecosystems and observed that microbiome diversity and microbial network complexity positively influenced multiple ecosystem functions related to nutrient cycling (e.g. multifunctionality). Grassland microcosms with poorly developed microbial networks and reduced microbial richness had the lowest multifunctionality due to fewer taxa present that support the same function (redundancy) and lower diversity of taxa that support different functions (reduced functional uniqueness). Moreover, different microbial taxa explained different ecosystem functions pointing to the significance of functional diversity in microbial communities. These findings indicate the importance of microbial interactions within and among fungal and bacterial communities for enhancing ecosystem performance and demonstrate that the extinction of complex ecological associations belowground can impair ecosystem functioning.

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Metadata

Authors
Wagg, C., Schlaeppi, K., Banerjee, S., Kuramae, E. E., & van der Heijden, M. G. A.
Venue
Nature Communications
Published
2019-10-24
Volume
10
Issue
1
Pages
4841-4841
ISSN
2041-1723 (ISSN-L)
OpenAlex
W2981774387
Cited by
1,836
References
16
FWCI
87.83
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Fungal-bacterial diversity and microbiome complexity predict ecosystem functioning. https://app.cochat.ai/papers/10.1038/s41467-019-12798-y
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Wagg, C., Schlaeppi, K., Banerjee, S., Kuramae, E. E., & van der Heijden, M. G. A. (2019). Fungal-bacterial diversity and microbiome complexity predict ecosystem functioning. Nature Communications. https://doi.org/10.1038/s41467-019-12798-y

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