Transcriptome and Metabolome Analyses Reveal Mechanisms Underlying the Response of Quinoa Seedlings to Nitrogen Fertilizers

被引:3
|
作者
Li, Hanxue [1 ]
Wang, Qianchao [1 ]
Huang, Tingzhi [1 ]
Liu, Junna [1 ]
Zhang, Ping [1 ]
Li, Li [1 ]
Xie, Heng [1 ]
Wang, Hongxin [1 ]
Liu, Chenghong [2 ]
Qin, Peng [1 ]
机构
[1] Yunnan Agr Univ, Coll Agron & Biotechnol, Kunming 650201, Peoples R China
[2] Shanghai Acad Agr Sci, Biotech Res Inst, Shanghai Key Lab Agr Genet & Breeding, Shanghai 201106, Peoples R China
关键词
quinoa seeding; nitrogen; metabolomics; transcriptomics; WILLD; GENES; GRAIN;
D O I
10.3390/ijms241411580
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Quinoa (Chenopodium quinoa Willd.) is a dicotyledonous annual amaranth herb that belongs to the family Chenopodiaceae. Quinoa can be cultivated across a wide range of climatic conditions. With regard to its cultivation, nitrogen-based fertilizers have a demonstrable effect on the growth and development of quinoa. How crops respond to the application of nitrogen affects grain quality and yield. Therefore, to explore the regulatory mechanisms that underlie the responses of quinoa seedlings to the application of nitrogen, we selected two varieties (i.e., Dianli-1299 and Dianli-71) of quinoa seedlings and analyzed them using metabolomic and transcriptomic techniques. Specifically, we studied the mechanisms underlying the responses of quinoa seedlings to varying concentrations of nitrogen by analyzing the dynamics of metabolites and genes involved in arginine biosynthesis; carbon fixation; and alanine, aspartate, and glutamate biosynthetic pathways. Overall, we found that differentially expressed genes (DEGs) and differentially expressed metabolites (DEMs) of quinoa are affected by the concentration of nitrogen. We detected 1057 metabolites, and 29,012 genes were annotated for the KEGG. We also found that 15 DEMs and 8 DEGs were key determinants of the differences observed in quinoa seedlings under different nitrogen concentrations. These contribute toward a deeper understanding of the metabolic processes of plants under different nitrogen treatments and provide a theoretical basis for improving the nitrogen use efficiency (NUE) of quinoa.
引用
收藏
页数:21
相关论文
共 50 条
  • [21] Integrating Physiology, Transcriptome, and Metabolome Analyses Reveals the Drought Response in Two Quinoa Cultivars with Contrasting Drought Tolerance
    Wang, Yang
    Wu, Yang
    Bao, Qinghan
    Shi, Huimin
    Zhang, Yongping
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2024, 25 (22)
  • [22] Transcriptome and metabolome analyses reveal the interweaving of immune response and metabolic regulation in pelvic organ prolapse
    Xia Yu
    Ying Chen
    Li He
    Hong Liu
    Zhenglin Yang
    Yonghong Lin
    International Urogynecology Journal, 2023, 34 : 1395 - 1403
  • [23] Transcriptome and Flavonoid Compounds Metabolome Analyses Reveal the Mechanisms of Heat Stress in Rhododendron with Exogenously Applied Calcium
    Shen, Jianshuang
    Rong, Xianlin
    Li, Xueqin
    Ma, Yulei
    Cheng, Hefeng
    Sheng, Jiaran
    Huang, Lu
    Jin, Songheng
    AGRONOMY-BASEL, 2024, 14 (06):
  • [24] Transcriptomic analyses reveal molecular mechanisms underlying growth heterosis and weakness of rubber tree seedlings
    Hong Yang
    Xuncheng Wang
    Yongxuan Wei
    Zhi Deng
    Hui Liu
    Jiangshu Chen
    Longjun Dai
    Zhihui Xia
    Guangming He
    Dejun Li
    BMC Plant Biology, 18
  • [25] Transcriptomic analyses reveal molecular mechanisms underlying growth heterosis and weakness of rubber tree seedlings
    Yang, Hong
    Wang, Xuncheng
    Wei, Yongxuan
    Deng, Zhi
    Liu, Hui
    Chen, Jiangshu
    Dai, Longjun
    Xia, Zhihui
    He, Guangming
    Li, Dejun
    BMC PLANT BIOLOGY, 2018, 18
  • [26] Transcriptome and Metabolome Analyses Reveal Response Mechanisms to Alternaria brassicicola-Induced Black Spot Disease in Diverse Chinese Cabbage Genotypes
    Yan, Wenyuan
    Wang, Chaonan
    Zhang, Hong
    Fan, Weiqiang
    Liu, Xiaohui
    Huang, Zhiyin
    Wang, Yong
    Zhang, Bin
    HORTICULTURAE, 2024, 10 (09)
  • [27] Transcriptome analyses reveal molecular mechanisms underlying functional recovery after spinal cord injury
    Duan, Hongmei
    Ge, Weihong
    Zhang, Aifeng
    Xi, Yue
    Chen, Zhihua
    Luo, Dandan
    Cheng, Yin
    Fan, Kevin S.
    Horvath, Steve
    Sofroniew, Michael V.
    Cheng, Liming
    Yang, Zhaoyang
    Sun, Yi E.
    Li, Xiaoguang
    PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2015, 112 (43) : 13360 - 13365
  • [28] Integrated transcriptome and proteome analyses reveal potential mechanisms in Stipa breviflora underlying adaptation to grazing
    Liu, Yanan
    Sun, Shixian
    Zhang, Yanan
    Song, Miaomiao
    Tian, Yunyun
    Lockhart, Peter J.
    Zhang, Xin
    Xu, Ying
    Dang, Zhenhua
    GRASSLAND RESEARCH, 2024, 3 (01): : 1 - 17
  • [29] Transcriptome analyses reveal molecular mechanisms underlying phenotypic differences among transcriptional subtypes of glioblastoma
    Pan, Yuan-Bo
    Wang, Siqi
    Yang, Biao
    Jiang, Zhenqi
    Lenahan, Cameron
    Wang, Jianhua
    Zhang, Jianmin
    Shao, Anwen
    JOURNAL OF CELLULAR AND MOLECULAR MEDICINE, 2020, 24 (07) : 3901 - 3916
  • [30] Transcriptome analyses reveal the utilization of nitrogen sources and related metabolic mechanisms of Sporosarcina pasteurii
    Pei, Di
    Liu, Zhiming
    Wu, Wenjian
    Hu, Biru
    PLOS ONE, 2021, 16 (02):