College of Agriculture, Northeast Agricultural University, Harbin 150030, China.
Key Laboratory of Germplasm Enhancement and Physiology & Ecology of Food Crop in Cold Region, Ministry of Education, Harbin 150030, China.
Int J Mol Sci. 2023 Mar 9;24(6):5290. doi: 10.3390/ijms24065290.
Nitrogen is an important nutrient for plant growth and essential metabolic processes. Roots integrally obtain nutrients from soil and are closely related to the growth and development of plants. In this study, the morphological analysis of rice root tissues collected at different time points under low-nitrogen and normal nitrogen conditions demonstrated that, compared with normal nitrogen treatment, the root growth and nitrogen use efficiency (NUE) of rice under low-nitrogen treatment were significantly improved. To better understand the molecular mechanisms of the rice root system's response to low-nitrogen conditions, a comprehensive transcriptome analysis of rice seedling roots under low-nitrogen and control conditions was conducted in this study. As a result, 3171 differentially expressed genes (DEGs) were identified. Rice seedling roots enhance NUE and promote root development by regulating the genes related to nitrogen absorption and utilization, carbon metabolism, root growth and development, and phytohormones, thereby adapting to low-nitrogen conditions. A total of 25,377 genes were divided into 14 modules using weighted gene co-expression network analysis (WGCNA). Two modules were significantly associated with nitrogen absorption and utilization. A total of 8 core genes and 43 co-expression candidates related to nitrogen absorption and utilization were obtained in these two modules. Further studies on these genes will contribute to the understanding of low-nitrogen adaptation and nitrogen utilization mechanisms in rice.
氮是植物生长和基本代谢过程的重要养分。根系从土壤中整体获取养分,与植物的生长和发育密切相关。在这项研究中,对不同时间点在低氮和正常氮条件下收集的水稻根组织进行形态分析表明,与正常氮处理相比,低氮处理下水稻的根生长和氮利用效率(NUE)显著提高。为了更好地理解水稻根系对低氮条件的分子机制,本研究对低氮和对照条件下的水稻幼苗根进行了全面的转录组分析。结果鉴定出 3171 个差异表达基因(DEGs)。水稻幼苗根通过调节与氮吸收和利用、碳代谢、根生长和发育以及植物激素相关的基因,提高 NUE 并促进根发育,从而适应低氮条件。使用加权基因共表达网络分析(WGCNA)将总共 25377 个基因分为 14 个模块。两个模块与氮吸收和利用显著相关。在这两个模块中总共获得了 8 个核心基因和 43 个与氮吸收和利用相关的共表达候选基因。对这些基因的进一步研究将有助于理解水稻的低氮适应和氮利用机制。