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February 2, 2026Communications Biology6 citationsOpen Access

Rhizosphere microbial functions drive ecological stoichiometry in soils across an elevational gradient of a temperate mountain ecosystem

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YYYi YangJinan UniversityKQKaiyang QiuMinistry of Education of the People's Republic of ChinaZJZhikuan JiaMinistry of Agriculture

Key Points

  • To explore the relationship between rhizosphere microbiomes and soil ecological stoichiometry across an elevational gradient.
  • Examined rhizosphere microbiomes from 20 plant populations across 17 sites.
  • Integrated environmental factors, microbial community structure, functional genes, and microbial biomass.
  • Analyzed soil stoichiometric characteristics including carbon, nitrogen, and phosphorus ratios.
  • Found significant associations between ectorhizosphere soil stoichiometric characteristics and microbial biomass.
  • Identified functional genes as strong predictors of soil stoichiometry.
  • Revealed that geographic and edaphic factors have direct effects, while climatic influences are indirect.

Abstract

The soil microbiome plays a vital role in maintaining soil nutrient levels and ecological stoichiometry balance. However, the relationships between rhizosphere microbiomes and soil ecological stoichiometric characteristics, including organic carbon (SC), total nitrogen (SN), total phosphorus (SP), and their ratios, remain poorly understood. Here, we used a temperate mountain ecosystem as a natural laboratory along a ~ 2190 m elevational gradient spanning a desert steppe-alpine meadow transition. We investigated rhizosphere microbiomes from 20 dominant plant populations across 17 sites by integrating environmental factors, microbial community structure, functional genes, microbial biomass, and ectorhizosphere soil stoichiometric characteristics. Ectorhizosphere soil stoichiometric characteristics were significantly associated with microbial biomass stoichiometric characteristics, rhizosphere community composition, and C-, N-, and P-cycling genes, with functional genes emerging as the strongest predictors. Structural equation modeling further identified the composition and diversity of functional genes as key drivers of soil stoichiometric characteristics. Geographic and edaphic factors exerted primarily direct effects, whereas climatic influences were indirect and mediated through the rhizosphere microbiome. These findings highlight the rhizosphere microbiome as a critical biological filter linking climate to soil nutrient stoichiometry at the root-soil interface.

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Cite This Study

Yang et al. (2026) studied this question.

synapsesocial.com/papers/69810006c1c9540dea8130b4https://doi.org/10.1038/s42003-026-09553-7
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