Synthetic microbial communities enable sustainable restoration of coal gangue-impacted soils by reprogramming nutrient cycling

Coal gangue disrupts microbial diversity and impairs nutrient cycling, constraining sustainable regional development. Traditional bioremediation relies on functional microbial traits, yet they often fail to colonize and perform in carbon-limited environments despite exogenous carbon inputs. We designed activity-oriented synthetic microbial communities (SynComs) to leverage exogenous carbon amendments and subsequently evaluated carbon use efficiency (CUE) as a community-level functional trait. High-activity SynComs were assembled from native and non-native strains based on their activity and metabolite interactions. The native-derived SynCom (SC3) enhances carbon and nitrogen cycling, whereas the non-native-derived SynCom (SC5) boosts diversity and phosphorus cycling (P < 0.05). These contrasts were associated with differences in strain functional contributions, community interactions, and carbon-source utilization. Metabolomics revealed greater functional microbial activation in SC5-conditioned biochar-derived metabolites than in glucose-derived metabolites. Multi-omics, single-cell Raman spectroscopy, and field studies confirmed the positive roles of SynComs in rhizosphere metabolism and nutrient cycling. Activity-driven SynComs approach was more efficient than single amendments, offering a potentially scalable strategy to restore carbon-limited tailing ecosystems and promote sustainability.

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Publication Details

Journal
The ISME Journal
Published
2026-11-01
DOI
https://doi.org/10.1093/ismejo/wrag278
Primary Topic
Soil Carbon and Nitrogen Dynamics
Type
article
Field-Weighted Citation Impact
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article

Synthetic microbial communities enable sustainable restoration of coal gangue-impacted soils by reprogramming nutrient cycling

Hong-Zhe Li, Bo Pan, Baoshan Xing, Jihong Dong et al.
The ISME Journal
Soil Carbon and Nitrogen Dynamics
article

Synthetic microbial communities enable sustainable restoration of coal gangue-impacted soils by reprogramming nutrient cycling

Hong-Zhe Li, Bo Pan, Baoshan Xing, Jihong Dong, Philippe F.-X. Corvini 刘双江, Yue Zhang, Shuyue Zheng, Pengfei Wang, Wan-Rong Zhang, Yu Huang, Min Wu, Quan Chen
article en

Abstract

Coal gangue disrupts microbial diversity and impairs nutrient cycling, constraining sustainable regional development. Traditional bioremediation relies on functional microbial traits, yet they often fail to colonize and perform in carbon-limited environments despite exogenous carbon inputs. We designed activity-oriented synthetic microbial communities (SynComs) to leverage exogenous carbon amendments and subsequently evaluated carbon use efficiency (CUE) as a community-level functional trait. High-activity SynComs were assembled from native and non-native strains based on their activity and metabolite interactions. The native-derived SynCom (SC3) enhances carbon and nitrogen cycling, whereas the non-native-derived SynCom (SC5) boosts diversity and phosphorus cycling (P < 0.05). These contrasts were associated with differences in strain functional contributions, community interactions, and carbon-source utilization. Metabolomics revealed greater functional microbial activation in SC5-conditioned biochar-derived metabolites than in glucose-derived metabolites. Multi-omics, single-cell Raman spectroscopy, and field studies confirmed the positive roles of SynComs in rhizosphere metabolism and nutrient cycling. Activity-driven SynComs approach was more efficient than single amendments, offering a potentially scalable strategy to restore carbon-limited tailing ecosystems and promote sustainability.

The ISME Journal
Kunming University of Science and Technology (CN), Chinese Academy of Sciences (CN), University of Massachusetts Amherst (US), FHNW University of Applied Sciences and Arts Northwestern Switzerland (CH), Jiaxing University (CN), Research Center for Eco-Environmental Sciences (CN), State Key Laboratory of Urban and Regional Ecology (CN)
Openalex Percentile: Top 15%
Soil Carbon and Nitrogen Dynamics
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