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Trait-based meta-analysis of microbial guilds in the iron redox cycle
Fernando Díaz-González1,2, Camila Rojas-Villalobos1,3, Francisco Issotta1,4
1Centro Científico y Tecnológico de Excelencia Ciencia & Vida, Santiago, Chile.
Msystems
|January 26, 2026
Summary
Microbial iron cycling is diverse and transcends taxonomy. A new trait-based framework reveals functional guilds and niche partitioning, improving predictions of microbial roles in biogeochemical processes.
Area of Science:
- Microbial Ecology
- Biogeochemistry
- Genomics
Background:
- Microbial iron (Fe) redox cycling is crucial for global biogeochemical processes, nutrient turnover, and contaminant mobility.
- Understanding the functional diversity, ecological roles, and trait architectures of iron-transforming microbes is essential but poorly synthesized across environments.
Purpose of the Study:
- To systematically review and meta-analyze microbial iron redox cycling taxa using a trait-based guild framework.
- To define ecologically coherent microbial iron redox cycle guilds based on phenotypic, genomic, and environmental data.
- To advance predictive microbial ecology by linking metabolic traits with environmental gradients.
Main Methods:
- A systematic review and trait-based meta-analysis of 387 microbial taxa from 314 studies spanning 76 years.
- Integration of phenotypic, genomic, and environmental data to define functional guilds (Fe(III) reducers, Fe(II) oxidizers, dual-capacity Fe oxidizers/reducers).
- Hierarchical clustering and kernel density analyses of ecophysiological traits to identify niche partitioning along environmental filters (pH, iron availability, salinity, temperature).
Main Results:
- Iron-cycling capacities transcend phylogenetic boundaries, with guilds converging in chemically stratified environments.
- Dual-capacity Fe oxidizers/reducers are key mediators of 'cryptic' iron cycling, toggling between oxidative and reductive modes.
- Niche partitioning is evident along key environmental gradients, highlighting distinct habitat preferences for different guilds.
Conclusions:
- The study introduces the Guild Exploitation Pattern, a conceptual lens for understanding iron microbiome assembly.
- The trait-based guild framework provides a data-driven foundation for predicting microbial contributions to iron cycling under changing environmental conditions.
- Highlights the need for functional trait surveys to complement metagenomics and cultivation efforts, especially for understudied dual-capacity species.
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