Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

Fungal-bacterial diversity and microbiome complexity predict ecosystem functioning

Cameron Wagg, Klaus Schlaeppi, Samiran Banerjee, Eiko E. Kuramae, Marcel G. A. van der Heijden

Nature Communications · 2019

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Summary

This experimental study manipulated soil microbiome composition in grassland microcosms to examine how fungal-bacterial diversity and network complexity influence ecosystem functioning. The findings demonstrate that higher microbiome diversity and more complex microbial networks positively predict multiple ecosystem functions related to nutrient cycling, whilst reduced microbial richness and poorly developed networks diminish ecosystem performance. The results highlight the importance of preserving complex belowground ecological associations—both within and between fungal and bacterial communities—for maintaining ecosystem productivity.

UK applicability

These findings are relevant to UK grassland and agricultural management, suggesting that practices preserving soil microbial diversity and network complexity may enhance ecosystem functioning and nutrient cycling efficiency. However, the study was conducted in experimental microcosms, so field validation under UK climate and soil conditions would strengthen applicability to national farming systems.

Key measures

Microbiome diversity, microbial richness, microbial network complexity, ecosystem multifunctionality, functional redundancy, functional uniqueness, nutrient cycling functions

Outcomes reported

The study experimentally manipulated soil microbiome composition in grassland microcosms and measured how microbiome diversity, network complexity, and microbial richness affected multiple ecosystem functions related to nutrient cycling (multifunctionality). Results showed that poorly developed microbial networks and reduced microbial richness resulted in the lowest multifunctionality due to lower functional redundancy and functional uniqueness.

Theme
Farming systems, soils & land use
Subject
Soil biology & microbiology
Study type
Research
Study design
Field trial
Source type
Peer-reviewed study
Status
Published
Geography
International
System type
Laboratory / in vitro
DOI
10.1038/s41467-019-12798-y
Catalogue ID
BFmou2mhmp-dma61j

Topic tags

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