The response of microbiome assembly within different niches across four stages to the cultivation of glyphosate-tolerant and conventional soybean varieties

Front Microbiol. 2024 Sep 25:15:1439735. doi: 10.3389/fmicb.2024.1439735. eCollection 2024.

Abstract

Introduction: Plants are inherently connected with the microbiome, which plays a crucial role in regulating various host plant biological processes, including immunity, nutrient acquisition, and resistance against abiotic and biotic stresses. Many factors affect the interaction between plants and microbiome.

Methods and results: In this study, microbiome samples were collected from five niches (bulk soil, rhizoplane, root endosphere, phylloplane, and leaf endosphere) across four developmental stages (seedling, flowering, podding, and maturity) of various soybean varieties. Composition and structure of bacterial and fungal communities were analyzed using 16S rRNA gene and ITS (Internally Transcribed Spacer) region amplicon sequencing. It was observed that both niches and developmental stages significantly impact on the assembly and composition of soybean microbiome. However, variety, presence of a transgene, and glyphosate application had minimal effects on microbial communities. The dominant microbiome varied across the five niches, with most containing beneficial microbial communities capable of promoting plant growth or increasing disease resistance. Types and abundance of the dominant microbes affected network stability, potentially resulting in functional changes in different ecological niches.

Conclusion: This study provides theoretical evidence for microbial protection of plants against diseases and demonstrates that systematic analysis of the composition and diversity of soybean microbiomes can contribute to the development of biological control technologies.

Keywords: developmental stage; glyphosate; microbiome; niche; soybean; transgene.

Grants and funding

The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This study was supported by the Biological Breeding-Major Projects, 2023ZD04062; Technical Cultivation Program Fund of Shanghai Municipal Commission of Agriculture, China (grant number 2022-02-08-00-12-F01139); National Natural Science Foundation of China (grant number 32302635); Natural Science Foundation of Shanghai (grant number 22ZR1442500); Shanghai Science and Technology Commission The belt and road project (grant number 20310750500); 2024 SAAS Project on Agricultural Science and Technology Innovation Supporting Area [grant number SAAS Application Basic Study 2024(08)]; Shanghai Academy of Agricultural Sciences 2022(grant number 016); Shanghai Engineering Research Center of Specialty Maize (grant number 20DZ2255300); Shanghai “Science and Technology Innovation Action Plan” Professional Technical Service Platform Project (grant number 23DZ2290700).