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小麦黄花叶病增强了植物-土壤系统中的细菌确定性过程。

Wheat yellow mosaic enhances bacterial deterministic processes in a plant-soil system.

机构信息

State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Institute of Plant Virology, Ningbo University, Ningbo 315211, China.

State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products, Institute of Plant Virology, Ningbo University, Ningbo 315211, China; College of Environmental Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, China.

出版信息

Sci Total Environ. 2022 Mar 15;812:151430. doi: 10.1016/j.scitotenv.2021.151430. Epub 2021 Nov 6.

Abstract

Understanding the mechanisms that govern microbial community assembly across soil-plant continuum is crucial for predicting the response of ecosystems to environmental changes. However, the impact of the health status of plant on microbial assembly across this continuum still remain poorly understood. Here, we investigated how wheat yellow mosaic (WYM), caused by the wheat mosaic virus transmitted by Polymyxa graminis, affected microbial assembly across soil (bulk soil, rhizosphere soil), and plant (roots and leaves) continuum in a winter wheat (Triticum aestivum L.) system in northern China, using null model analysis. The results showed that deterministic processes dominated the bacterial community assembly, whereas stochastic processes were primarily responsible for the assembly of the fungal communities. With increasing levels of WYM, deterministic processes were greatly enhanced for bacterial community assembly, accompanied by a decrease in community niche breadth. Intensified competition between bacteria and fungi and increased soil total nitrogen (TN) and soil organic carbon (SOC) contents were mainly responsible for the enhanced deterministic processes for bacterial community assembly. Random forest modeling indicated a strong potential of rhizosphere bacterial community assembly for predicting the pathological conditions of wheat. Structural equation modeling showed that disease level was positively correlated with SOC and TN contents, competitions between bacteria and fungi, and the contribution of variable selection processes to the bacterial community assembly in the wheat rhizosphere. Our study revealed the ecological mechanisms underlying the associations between microbial communities and soil-borne disease, and highlighted the significance of microbial community assembly for maintaining soil and plant health.

摘要

理解控制土壤-植物连续体中微生物群落组装的机制对于预测生态系统对环境变化的响应至关重要。然而,植物健康状况对整个连续体中微生物组装的影响仍知之甚少。在这里,我们利用零模型分析研究了在中国北方的冬小麦(Triticum aestivum L.)系统中,由禾谷多黏菌传播的小麦花叶病毒引起的小麦黄矮病(WYM)如何影响土壤(土壤、根际土壤)和植物(根和叶)连续体中的微生物组装。结果表明,确定性过程主导着细菌群落的组装,而随机过程主要负责真菌群落的组装。随着 WYM 水平的升高,细菌群落组装的确定性过程大大增强,同时群落生态位宽度降低。细菌和真菌之间竞争的加剧以及土壤全氮(TN)和土壤有机碳(SOC)含量的增加是导致细菌群落组装的确定性过程增强的主要原因。随机森林模型表明,根际细菌群落组装对于预测小麦的病理状况具有很强的潜力。结构方程模型表明,疾病水平与 SOC 和 TN 含量、细菌和真菌之间的竞争以及变量选择过程对小麦根际细菌群落组装的贡献呈正相关。本研究揭示了微生物群落与土壤传播疾病之间关联的生态机制,并强调了微生物群落组装对于维持土壤和植物健康的重要性。

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