数字农科院2.0

Soybean productivity can be enhanced by understanding rhizosphere microbiota: evidence from metagenomics analysis from diverse agroecosystems

文献类型： 外文期刊

作者： Ren, Honglei;Hong, Huilong;Zha, Bire;Lamlom, Sobhi F.;Qiu, Hongmei;Cao, Yongqiang;Sun, Rujian;Wang, Haorang;Ma, Junkui;Zhang, Hengbin;Sun, Liping;Yang, Qing;Zhou, Changjun;Liu, Xiulin;Wang, Xueyang;Zhang, Chunlei;Zhang, Fengyi;Zhao, Kezhen;Yuan, Rongqiang;Abdelghany, Ahmed M.;Zhang, Bixian;Zheng, Yuhong;Wang, Jiajun;Lu, Wencheng

作者机构：

关键词： Soybean (Glycine max);Rhizosphere microbiota;Metagenomic sequencing;Co-occurrence networks

期刊名称： MICROBIOME

ISSN： 2049-2618

年卷期： 2025 年 13 卷 1 期

页码：

收录情况： SCIE（2025版）

摘要： BackgroundMicrobial communities associated with roots play a crucial role in the growth and health of plants and are constantly influenced by plant development and alterations in the soil environment. Despite extensive rhizosphere microbiome research, studies examining multi-kingdom microbial variation across large-scale agricultural gradients remain limited.ResultsThis study investigates the rhizosphere microbial communities associated with soybean across 13 diverse geographical locations in China. Using high-throughput shotgun metagenomic sequencing on the BGISEQ T7 platform with 10 GB per sample, we identified a total of 43,337 microbial species encompassing bacteria, archaea, fungi, and viruses. Our analysis revealed significant site-specific variations in microbial diversity and community composition, underscoring the influence of local environmental factors on microbial ecology. Principal coordinate analysis (PCoA) indicated distinct clustering patterns of microbial communities, reflecting the unique environmental conditions and agricultural practices of each location. Network analysis identified 556 hub microbial taxa significantly correlated with soybean yield traits, with bacteria showing the strongest associations. These key microorganisms were found to be involved in critical nutrient cycling pathways, particularly in carbon oxidation, nitrogen fixation, phosphorus solubilization, and sulfur metabolism. Our findings demonstrate the pivotal roles of specific microbial taxa in enhancing nutrient cycling, promoting plant health, and improving soybean yield, with significant positive correlations (r = 0.5, p = 0.039) between microbial diversity and seed yield.ConclusionThis study provides a comprehensive understanding of the diversity and functional potential of rhizosphere microbiota in enhancing soybean productivity. The findings underscore the importance of integrating microbial community dynamics into crop management strategies to optimize nutrient cycling, plant health, and yield. While this study identifies key microbial taxa with potential functional roles, future research should focus on isolating and validating these microorganisms for their bioremediation and biofertilization activities under field conditions. This will provide actionable insights for developing microbial-based agricultural interventions to improve crop resilience and sustainability.BGDCKW7bTctQq4sh1kxH_XVideo AbstractConclusionThis study provides a comprehensive understanding of the diversity and functional potential of rhizosphere microbiota in enhancing soybean productivity. The findings underscore the importance of integrating microbial community dynamics into crop management strategies to optimize nutrient cycling, plant health, and yield. While this study identifies key microbial taxa with potential functional roles, future research should focus on isolating and validating these microorganisms for their bioremediation and biofertilization activities under field conditions. This will provide actionable insights for developing microbial-based agricultural interventions to improve crop resilience and sustainability.BGDCKW7bTctQq4sh1kxH_XVideo Abstract

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