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ORIGINAL RESEARCH article
Front. Sustain. Food Syst.
Sec. Crop Biology and Sustainability
Volume 9 - 2025 | doi: 10.3389/fsufs.2025.1518597
This article is part of the Research Topic Integration of Legume Intercropping into Sustainable Farming Systems for Nitrogen Fixation, Soil Health, and Climate Resilience View all 6 articles
Genotype-Specific Rhizosphere Microbiome Assembly and Its Impact on Soybean (Glycine max (L.) Merri.) Yield Traits
Provisionally accepted
Xiaodong Han 1
Xiaomin Zhang 1
Yang Shuqian 1
Feng Shilin 1
Tian Tian 2 Narentuya Chen 2
Guofen Zhao 1* Lichun Huang 2* Guihua Wang 1*- 1 Inner Mongolia Agricultural University, Hohhot, China
- 2 Xing'an League Institute of Agriculture and Animal Husbandry, Ulanhot, China
Rhizosphere microbial communities play crucial roles in plant growth and development, yet their dynamics across soybean (Glycine max (L.) Merri.) genotypes remain poorly understood. This study investigated rhizosphere microbiome composition and its correlation with yield performance in conventional H0269 and transgenic M579 and Z1510 soybean varieties during critical growth stages. High-throughput sequencing of 16S rDNA and ITS regions revealed distinct microbial community patterns, with bacterial alpha diversity significantly influenced by plant genotype. Analysis of 404,470 bacterial and 807,404 fungal amplicon sequence variants showed that Proteobacteria, Acidobacteriota, and Actinobacteria dominated bacterial communities, while Ascomycota predominated fungal assemblages. Beta diversity analysis demonstrated significant compositional shifts between growth stages, with greater variations in bacterial communities compared to fungal populations. Correlation analysis revealed 15 bacterial and 13 fungal species associated with yield traits, particularly in transgenic varieties. These findings provide novel insights into genotypespecific recruitment of rhizosphere microorganisms and their influence on soybean productivity. The results bridge research and application by informing microbial inoculant development and breeding strategies. This knowledge can develop soybean varieties with improved microbiome recruitment, enhancing nutrient uptake, stress tolerance, and disease resistance.
Keywords: rhizosphere, Soybean, microbiome, 16S rDNA and ITS sequencing, Yield trait
Received: 28 Oct 2024; Accepted: 28 Mar 2025.
Copyright: © 2025 Han, Zhang, Shuqian, Shilin, Tian, Chen, Zhao, Huang and Wang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence:
Guofen Zhao, Inner Mongolia Agricultural University, Hohhot, China
Lichun Huang, Xing'an League Institute of Agriculture and Animal Husbandry, Ulanhot, China
Guihua Wang, Inner Mongolia Agricultural University, Hohhot, China
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