Niche differentiation increases along a continental temperature gradient and is linked to coexistence between Actinobacteria and Proteobacteria in paddy soils

Understanding how temperature relates to microbial competition and coexistence in managed paddy-soil bacterial communities is essential for predicting climate-change impacts on soil biodiversity, yet the underlying mechanisms remain poorly resolved. Here, we collected 429 soil samples from 39 paddy plots in 13 rice-producing regions along a north–south climatic transect in eastern China, with mean annual temperature (MAT) ranging from 1.5 to 23.8 °C. We integrated high-throughput 16S rRNA gene amplicon sequencing, GeoChip 5.0 functional gene profiling, co-occurrence network analysis, and modern coexistence theory (MCT) to characterize bacterial co-occurrence patterns and the genetic potential for antagonistic metabolite biosynthesis at the community level, and to derive MCT-informed, network-derived niche-difference (ND) and fitness-difference (FD) metrics for the focal Actinobacteria–Proteobacteria pair. Bacterial co-occurrence network complexity, indicated by connectance and clustering coefficient, was positively associated with MAT, while the diversity and richness of functional genes associated with antagonistic metabolite biosynthesis concurrently declined. Applying this proxy-based MCT framework to Actinobacteria and Proteobacteria, which together accounted for approximately 48% of bacterial abundance across plots, we found that 27 of 39 plots (69.2%) were classified within the MCT-predicted coexistence region, and the network-derived FD metric indicated a relative fitness advantage for Actinobacteria in 36 of 39 plots (92.3%). Spatial generalized least-squares analysis further supported a positive association between MAT and the network-derived niche-difference metric after accounting for spatial dependence and soil variation. Collectively, these results indicate that, for the focal Actinobacteria–Proteobacteria pair, higher MAT was associated with greater network-derived niche differentiation rather than fitness equalization, alongside reduced community-level genetic potential for antagonistic metabolite biosynthesis. Within this space-for-time design, these observational patterns generate testable hypotheses about how climatic variation relates to microbial coexistence in paddy soils.

Authors

Institutions

Publication Details

Journal
Applied Soil Ecology
Published
2026-09-12
DOI
https://doi.org/10.1016/j.apsoil.2026.107452
Primary Topic
Microbial Community Ecology and Physiology
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Niche differentiation increases along a continental temperature gradient and is linked to coexistence between Actinobacteria and Proteobacteria in paddy soils

Yujuan Wang, Meitong Jiang, Jixian Ding, Jizhong Zhou et al.
Applied Soil Ecology
Microbial Community Ecology and Physiology
article

Niche differentiation increases along a continental temperature gradient and is linked to coexistence between Actinobacteria and Proteobacteria in paddy soils

Yujuan Wang, Meitong Jiang, Jixian Ding, Jizhong Zhou, Yuting Liang, Na Zhang, Jiabao Zhang, Haowei Ni
article en

Abstract

Understanding how temperature relates to microbial competition and coexistence in managed paddy-soil bacterial communities is essential for predicting climate-change impacts on soil biodiversity, yet the underlying mechanisms remain poorly resolved. Here, we collected 429 soil samples from 39 paddy plots in 13 rice-producing regions along a north–south climatic transect in eastern China, with mean annual temperature (MAT) ranging from 1.5 to 23.8 °C. We integrated high-throughput 16S rRNA gene amplicon sequencing, GeoChip 5.0 functional gene profiling, co-occurrence network analysis, and modern coexistence theory (MCT) to characterize bacterial co-occurrence patterns and the genetic potential for antagonistic metabolite biosynthesis at the community level, and to derive MCT-informed, network-derived niche-difference (ND) and fitness-difference (FD) metrics for the focal Actinobacteria–Proteobacteria pair. Bacterial co-occurrence network complexity, indicated by connectance and clustering coefficient, was positively associated with MAT, while the diversity and richness of functional genes associated with antagonistic metabolite biosynthesis concurrently declined. Applying this proxy-based MCT framework to Actinobacteria and Proteobacteria, which together accounted for approximately 48% of bacterial abundance across plots, we found that 27 of 39 plots (69.2%) were classified within the MCT-predicted coexistence region, and the network-derived FD metric indicated a relative fitness advantage for Actinobacteria in 36 of 39 plots (92.3%). Spatial generalized least-squares analysis further supported a positive association between MAT and the network-derived niche-difference metric after accounting for spatial dependence and soil variation. Collectively, these results indicate that, for the focal Actinobacteria–Proteobacteria pair, higher MAT was associated with greater network-derived niche differentiation rather than fitness equalization, alongside reduced community-level genetic potential for antagonistic metabolite biosynthesis. Within this space-for-time design, these observational patterns generate testable hypotheses about how climatic variation relates to microbial coexistence in paddy soils.

Applied Soil EcologyVol. 227
University of Chinese Academy of Sciences (CN), Institute of Soil Science (CN), University of Oklahoma (US)
National Natural Science Foundation of China, Natural Science Foundation of Jiangsu Province
Climate action
Openalex Percentile: Top 11%
Microbial Community Ecology and Physiology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.