数字农科院2.0

Waste-derived cultivation substrates drive the dominance of nitrogen-functional microbes in the rhizosphere microbiome to improve nitrogen use efficiency

文献类型： 外文期刊

作者： Liu, Xiang;Li, Jie;Ding, Yinuo;Wang, Tongchen;Li, Houyu;Xu, Yan

作者机构：

关键词： Cultivation substrates;Nitrogen use efficiency;Rhizosphere;Microorganism;Functional genes

期刊名称： ENVIRONMENTAL RESEARCH

ISSN： 0013-9351

年卷期： 2025 年 291 卷

页码：

收录情况： SCIE（2025版） ; ; EI（2025版）

摘要： Nitrogen (N) loss and low nitrogen use efficiency (NUE) pose major sustainability challenges in facility agriculture. Cultivation substrates have been developed as an alternative to traditional soil for better N management. However, it is unknown what kind of substrates are effective in addressing N loss and improving NUE. Herein, this study investigated the effects of various substrates on N loss and NUE through a five-year continuous tomato cultivation experiment, revealing the underlying biological mechanisms. The substrates tested included soil with recommended fertilizer, grass biochar (GB), coconut coir, and vegetable waste (VM), with soil without fertilizer application set up as a negative control. And structural equation modeling revealed that the rhizosphere microbiome composition was the primary driver of nitrogen utilization in substrates. Notably, GB and VM substrates reshaped the microbial community related to N transformation, and promoted the evolution of Nfunctional microorganisms into core microbial members, thereby strengthening their ability for N transformation and utilization. These substrates regulated key processes such as fixation and nitrification, which collectively improved nitrogen conversion efficiency and minimized N loss. Further, the relative abundance of N-functional genes (e.g., nirB, narI, nifH, hao), which are closely associated with these processes, markedly increased, ranging from 22.16 % to 109.22 %. This significant rise in gene abundance underscored the enhanced N transformation processes and further validated the effectiveness of GB and VM substrates in optimizing NUE. This study provides a technical solution for reducing N loss and improving NUE in facility agriculture, and offering theoretical guidance for optimizing substrate design.

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