Metagenomic Insights into Corn Stalk Biochar-Mediated Carbon Cycling and Microbial Community Shifts in Black Soil Soybean Rhizosphere

Despite extensive research on biochar’s effects on soil properties, the molecular mechanisms linking carbon-cycling functional genes to soil organic carbon dynamics under biochar application remain poorly understood. This study evaluated the effects of corn stalk biochar applied at different rates (0, 300, 600, and 900 kg/hm2) on soil physicochemical properties, microbial community structure, carbon cycling genes, and soybean (HeiNong551) growth in Northeast China’s black soil region. Metagenomic analysis and metabolic pathway analysis were also conducted. Biochar application significantly improved soil fertility by increasing pH, moisture content, and various SOC fractions, while modulating the activities of key soil enzymes, including β-glucosidase, alkaline phosphatase, cellulase, and polyphenol oxidase. Metagenomic analysis revealed that biochar substantially enhanced soil microbial richness and diversity, with significant enrichment of beneficial bacterial genera, including Nocardioides and Sphingomicrobium. Functional gene analysis demonstrated that biochar promoted soil carbon cycling by increasing the abundance of Glycosyltransferases, Glycoside Hydrolases, and Auxiliary Activities, while decreasing the abundance of Carbohydrate-Binding Modules, Carbohydrate Esterases, and Polysaccharide Lyases. Analysis of 22 key carbon cycling pathway genes indicated that biochar enhanced carbon fixation via the reductive tricarboxylic acid cycle (korA gene) and promoted the degradation of easily mineralizable SOC components, while suppressing stable carbon degradation pathways.

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Publication Details

Journal
Agronomy
Published
2026-07-22
DOI
https://doi.org/10.3390/agronomy16141393
Primary Topic
Soil Carbon and Nitrogen Dynamics
Type
article
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article

Metagenomic Insights into Corn Stalk Biochar-Mediated Carbon Cycling and Microbial Community Shifts in Black Soil Soybean Rhizosphere

YJ Li, Kezhen Zhao, Jie Yang, Jianqin Zhu et al.
Agronomy
Soil Carbon and Nitrogen Dynamics
article

Metagenomic Insights into Corn Stalk Biochar-Mediated Carbon Cycling and Microbial Community Shifts in Black Soil Soybean Rhizosphere

YJ Li, Kezhen Zhao, Jie Yang, Jianqin Zhu, Yi-Xiang Wang, Ruiming Xing
article en

Abstract

Despite extensive research on biochar’s effects on soil properties, the molecular mechanisms linking carbon-cycling functional genes to soil organic carbon dynamics under biochar application remain poorly understood. This study evaluated the effects of corn stalk biochar applied at different rates (0, 300, 600, and 900 kg/hm2) on soil physicochemical properties, microbial community structure, carbon cycling genes, and soybean (HeiNong551) growth in Northeast China’s black soil region. Metagenomic analysis and metabolic pathway analysis were also conducted. Biochar application significantly improved soil fertility by increasing pH, moisture content, and various SOC fractions, while modulating the activities of key soil enzymes, including β-glucosidase, alkaline phosphatase, cellulase, and polyphenol oxidase. Metagenomic analysis revealed that biochar substantially enhanced soil microbial richness and diversity, with significant enrichment of beneficial bacterial genera, including Nocardioides and Sphingomicrobium. Functional gene analysis demonstrated that biochar promoted soil carbon cycling by increasing the abundance of Glycosyltransferases, Glycoside Hydrolases, and Auxiliary Activities, while decreasing the abundance of Carbohydrate-Binding Modules, Carbohydrate Esterases, and Polysaccharide Lyases. Analysis of 22 key carbon cycling pathway genes indicated that biochar enhanced carbon fixation via the reductive tricarboxylic acid cycle (korA gene) and promoted the degradation of easily mineralizable SOC components, while suppressing stable carbon degradation pathways.

AgronomyVol. 16(14)
Harbin Normal University (CN)
Life in Land
Openalex Percentile: Top 10%
Soil Carbon and Nitrogen Dynamics
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