Transcriptome Profiling Reveals the Gene Network Responding to Low Nitrogen Stress in Wheat

• Published in: Plants (Basel) Vol. 13; no. 3; p. 371
• Main Authors: Wang, Yiwei, Li, Pengfeng, Zhu, Yiwang, Shang, Yuping, Wu, Zhiqiang, Tao, Yongfu, Wang, Hongru, Li, Dongxi, Zhang, Cuijun
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01-01-2024
• Subjects: Agrochemicals; Analysis; Chemical pollution; Comparative analysis; Crop yield; Environmental aspects; Essential nutrients; Fertilizers; Gene expression; Genes; Genetic aspects; Genetic transcription; Identification and classification; Kinases; low nitrogen; Metabolism; Network analysis; Nitrate reductase; Nitrogen; Nitrogen in the body; nitrogen signaling network; Nutrients; Phosphorylation; Physiological aspects; Plant growth; Proteins; Reductases; RNA-seq; Roots; Shoots; Transcription factors; Transcriptomes; Wheat; China; nitrogen signaling network; wheat; RNA-seq; low nitrogen
• ISSN: 2223-7747; 2223-7747
• DOI: 10.3390/plants13030371

As one of the essential nutrients for plants, nitrogen (N) has a major impact on the yield and quality of wheat worldwide. Due to chemical fertilizer pollution, it has become increasingly important to improve crop yield by increasing N use efficiency (NUE). Therefore, understanding the response mechanisms to low N (LN) stress is essential for the regulation of NUE in wheat. In this study, LN stress significantly accelerated wheat root growth, but inhibited shoot growth. Further transcriptome analysis showed that 8468 differentially expressed genes (DEGs) responded to LN stress. The roots and shoots displayed opposite response patterns, of which the majority of DEGs in roots were up-regulated (66.15%; 2955/4467), but the majority of DEGs in shoots were down-regulated (71.62%; 3274/4565). GO and KEGG analyses showed that nitrate reductase activity, nitrate assimilation, and N metabolism were significantly enriched in both the roots and shoots. Transcription factor (TF) and protein kinase analysis showed that genes such as MYB-related (38/38 genes) may function in a tissue-specific manner to respond to LN stress. Moreover, 20 out of 107 N signaling homologous genes were differentially expressed in wheat. A total of 47 transcriptome datasets were used for weighted gene co-expression network analysis (17,840 genes), and five TFs were identified as the potential hub regulatory genes involved in the response to LN stress in wheat. Our findings provide insight into the functional mechanisms in response to LN stress and five candidate regulatory genes in wheat. These results will provide a basis for further research on promoting NUE in wheat.