Microbial Community Dynamics in Ecological Networks

Microbial communities inhabit virtually every ecosystem on Earth, from soils and oceans to plant and animal hosts, forming intricate webs of interactions that underpin biogeochemical cycles, ecosystem resilience and host health. Ecological networks provide a conceptual and analytical framework to represent these interactions as nodes (microbial taxa) and edges (associations or interactions). Through network analysis, researchers can characterise patterns of co-occurrence and exclusion, identify clusters of tightly interacting taxa (modules), and quantify properties such as connectance, modularity and stability. These network properties reveal how microbial assemblages assemble, respond to environmental perturbations and maintain functional redundancy. Advances in high-throughput sequencing and computational methods now allow inference of both pair-wise and higher-order interactions, shedding light on keystone taxa whose influence disproportionately shapes community structure. Understanding microbial community dynamics in ecological networks is critical for managing soil fertility, bioremediation, disease suppression in agriculture, and modulation of the human microbiome for health. By integrating longitudinal sampling, perturbation experiments and multi-omics data, researchers are beginning to predict network responses to environmental change and to engineer microbiomes with desired functions.

Research from Nature Portfolio

Recent studies have introduced a top-down computational framework to detect keystone species in complex microbiomes without reconstructing all pair-wise interactions. By quantifying the total influence of each taxon on community dynamics, this method identifies keystone modules—sets of interacting taxa whose collective perturbation strongly alters network structure. Applied to human gut microbiome data, the approach revealed candidate keystone species validated in longitudinal sampling, marking a methodological advance for profiling critical players in microbial ecosystems. Another foundational investigation examined soil microbial networks under drought conditions in grassland mesocosms. It demonstrated that bacterial co-occurrence networks lose stability and connectivity under water stress, whereas fungal networks remain comparatively robust. This work linked shifts in network topology to long-term changes in vegetation and soil moisture, highlighting the vulnerability of bacterial communities to climate extremes and their cascading effects on ecosystem functioning.

Microbial Community Dynamics in Ecological Networks publication trend

The graph below shows the total number of articles in microbial community dynamics in ecological networks across all publications each year (not limited to Nature Index journals).

Technical terms

Ecological network: A representation of biotic interactions in a community, where nodes are species or taxa and edges denote associations or interactions.

Co-occurrence network: A network inferred from observational data that captures statistical associations (positive or negative) between taxa based on their simultaneous presence or abundance patterns.

Keystone taxon: A species or group whose influence on community structure and function is disproportionately large relative to its abundance.

Higher-order interaction: A non-pairwise interaction involving three or more taxa simultaneously, which can alter dynamics beyond simple pairwise effects.

Modularity: The degree to which a network is compartmentalised into modules or clusters of tightly connected nodes, reflecting functional or ecological subunits.

References

1. A guide for comparing microbial co‐occurrence networks. iMeta (2023).
2. Top-down identification of keystone taxa in the microbiome. Nature Communications (2023).
3. Soil bacterial networks are less stable under drought than fungal networks. Nature Communications (2018).
4. Networks as tools for defining emergent properties of microbiomes and their stability. Microbiome (2024).
5. More Than the Sum of Its Parts: Unlocking the Power of Network Structure for Understanding Organization and Function in Microbiomes. Annual Review of Phytopathology (2023).
6. Earth microbial co-occurrence network reveals interconnection pattern across microbiomes. Microbiome (2020).