Integrated Metagenomics and 15N Isotope Tracing Reveal the Mechanisms Through which the Nitrogen-Planting Density Interaction Impacts Rice Root Nitrogen Uptake Efficiency
文献类型: 外文期刊
作者: Sun, Changhui 1 ; Lu, Yanyao 1 ; Tang, Guoping 3 ; Wang, Runnan 1 ; Wu, Han 1 ; Zhang, Jiao 1 ; Cai, Shuo 4 ; Zhu, Jinyan 1 ; Xiong, Qiangqiang 1 ;
作者机构: 1.Yangzhou Univ, Jiangsu Key Lab Crop Genet & Physiol, Jiangsu Key Lab Crop Cultivat & Physiol, Agr Coll, Yangzhou 225009, Peoples R China
2.Yangzhou Univ, Jiangsu Coinnovat Ctr Modern Prod Technol Grain Cr, Yangzhou 225009, Peoples R China
3.Jiangxi Acad Agr Sci, Rice Res Inst, Nanchang 330045, Peoples R China
4.Jiangxi Irrigat Expt Cent Stn, Nanchang 330045, Peoples R China
关键词: Rice; Density; Nitrogen Uptake Efficiency; Enzyme Activity; Isotope Tracing; Metagenomics
期刊名称:JOURNAL OF SOIL SCIENCE AND PLANT NUTRITION ( 影响因子:3.9; 五年影响因子:3.9 )
ISSN: 0718-9508
年卷期: 2024 年
页码:
收录情况: SCI
摘要: Designing appropriate nitrogen (N) application rates and planting densities is crucial for ensuring high-yield and high-quality rice production. The effects of N fertilizer and planting density on the soil microbial community composition and abundance and on root N uptake mechanisms were investigated. In this study, high-nitrogen low-density (HNLD), medium-nitrogen medium-density (MNMD) and low-nitrogen high-density (LNHD) experiments were conducted via the bucket planting method, and plant physiology, dry matter mass and N uptake, root enzyme activities and rhizosphere soil microbial communities were examined via metagenomic sequencing and isotope tracing. The HNLD treatment exhibited the highest N absorption and utilization capacity. Compared to those in the other treatments, the delta N-15 values and abundance increased by 52.96-63.45% during the maturation stage and by 34.48-48.36% during the heading stage. Compared with those of the other treatments, the Ndff (N-15 derived from fertilizer) increased by 59.33-60.92% during the maturation stage and by 40.24-47.56% during the heading stage. Actinobacteria, Acidobacteria, Chloroflexi, and Proteobacteria were confirmed to be the dominant bacterial groups among the treatments. Based on these findings, a correlation-oriented model and dual-factor correlation network were constructed, focusing on the variations in root nitrite reductase (NIR) activity, rhizosphere soil sucrase (S-SC) and soil catalase (S-CAT) activities, and Actinobacteria and Proteobacteria communities. Overall, this study provides theoretical support for determining N application rates and planting densities in practical rice production, with the ultimate goal of enhancing root N uptake efficiency.
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