Transcriptome Profiling and Chlorophyll Metabolic Pathway Analysis Reveal the Response of Nitraria tangutorum to Increased Nitrogen

被引:6
|
作者
Liu, Chenggong [1 ,2 ]
Duan, Na [3 ,4 ]
Chen, Xiaona [3 ,4 ]
Li, Xu [1 ,2 ]
Zhao, Naqi [3 ,4 ]
Cao, Wenxu [1 ,2 ]
Li, Huiqing [1 ,2 ]
Liu, Bo [1 ,2 ]
Tan, Fengsen [1 ,2 ]
Zhao, Xiulian [1 ,2 ]
Li, Qinghe [1 ,2 ]
机构
[1] Chinese Acad Forestry, Res Inst Forestry, Beijing 100091, Peoples R China
[2] Natl Forestry & Grassland Adm, Key Lab Tree Breeding & Cultivat, Beijing 100091, Peoples R China
[3] Chinese Acad Forestry, Expt Ctr Desert Forestry, Dengkou 015200, Peoples R China
[4] Natl Forestry & Grassland Adm, Natl Long Term Sci Res Base Ulan Buh Desert Compre, Dengkou 015200, Peoples R China
来源
PLANTS-BASEL | 2023年 / 12卷 / 04期
基金
国家重点研发计划; 中国国家自然科学基金;
关键词
transcriptome analysis; nitrogen addition; Nitraria tangutorum; chlorophyll metabolism; TRANSFER-RNA REDUCTASE; USE EFFICIENCY; PLANT; CHELATASE; GROWTH; ROOT; BIOSYNTHESIS; AVAILABILITY; ASSIMILATION; DEPOSITION;
D O I
10.3390/plants12040895
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
To identify genes that respond to increased nitrogen and assess the involvement of the chlorophyll metabolic pathway and associated regulatory mechanisms in these responses, Nitraria tangutorum seedlings were subjected to four nitrogen concentrations (N0, N6, N36, and N60: 0, 6, 36, and 60 mmol center dot L-1 nitrogen, respectively). The N. tangutorum seedling leaf transcriptome was analyzed by high-throughput sequencing (Illumina HiSeq 4000), and 332,420 transcripts and 276,423 unigenes were identified. The numbers of differentially expressed genes (DEGs) were 4052 in N0 vs. N6, 6181 in N0 vs. N36, and 3937 in N0 vs. N60. Comparing N0 and N6, N0 and N36, and N0 and N60, we found 1101, 2222, and 1234 annotated DEGs in 113, 121, and 114 metabolic pathways, respectively, classified in the Kyoto Encyclopedia of Genes and Genomes database. Metabolic pathways with considerable accumulation were involved mainly in anthocyanin biosynthesis, carotenoid biosynthesis, porphyrin and chlorophyll metabolism, flavonoid biosynthesis, and amino acid metabolism. N36 increased delta-amino levulinic acid synthesis and upregulated expression of the magnesium chelatase H subunit, which promoted chlorophyll a synthesis. Hence, N36 stimulated chlorophyll synthesis rather than heme synthesis. These findings enrich our understanding of the N. tangutorum transcriptome and help us to research desert xerophytes' responses to increased nitrogen in the future.
引用
收藏
页数:18
相关论文
共 50 条
  • [21] An integrated nitrogen utilization gene network and transcriptome analysis reveal candidate genes in response to nitrogen deficiency in Brassica napus
    Li, Pengfeng
    Du, Runjie
    Li, Zhaopeng
    Chen, Zhuo
    Li, Jiana
    Du, Hai
    FRONTIERS IN PLANT SCIENCE, 2023, 14
  • [22] Metabolic Profiling and Transcriptome Analysis Reveal the Key Role of Flavonoids in Internode Coloration of Phyllostachys violascens cv. Viridisulcata
    Wei, Han-tian
    Hou, Dan
    Ashraf, Muhammad Furqan
    Lu, Hai-Wen
    Zhuo, Juan
    Pei, Jia-long
    Qian, Qi-xia
    FRONTIERS IN PLANT SCIENCE, 2022, 12
  • [23] 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):
  • [24] Metabolome and transcriptome analyses reveal chlorophyll and anthocyanin metabolism pathway associated with cucumber fruit skin color
    Min Wang
    Lin Chen
    Zhaojun Liang
    Xiaoming He
    Wenrui Liu
    Biao Jiang
    Jinqiang Yan
    Piaoyun Sun
    Zhenqiang Cao
    Qingwu Peng
    Yu’e Lin
    BMC Plant Biology, 20
  • [25] Metabolome and transcriptome analyses reveal chlorophyll and anthocyanin metabolism pathway associated with cucumber fruit skin color
    Wang, Min
    Chen, Lin
    Liang, Zhaojun
    He, Xiaoming
    Liu, Wenrui
    Jiang, Biao
    Yan, Jinqiang
    Sun, Piaoyun
    Cao, Zhenqiang
    Peng, Qingwu
    Lin, Yu'e
    BMC PLANT BIOLOGY, 2020, 20 (01)
  • [26] Bulk and single-cell transcriptome profiling reveal the metabolic heterogeneity in human breast cancers
    Yu, Tian-Jian
    Ma, Ding
    Liu, Ying-Ying
    Xiao, Yi
    Gong, Yue
    Jiang, Yi-Zhou
    Shao, Zhi-Ming
    Hu, Xin
    Di, Gen-Hong
    MOLECULAR THERAPY, 2021, 29 (07) : 2350 - 2365
  • [27] Metabolome and Transcriptome Profiling Reveal Carbon Metabolic Flux Changes in Yarrowia lipolytica Cells to Rapamycin
    Liu, Ziyu
    Tian, Junjie
    Miao, Zhengang
    Liang, Wenxing
    Wang, Guangyuan
    JOURNAL OF FUNGI, 2022, 8 (09)
  • [28] Transcriptome profiling and metabolic pathway analysis towards reliable biomarker discovery in early-stage lung cancer
    Thirunavukkarasu, Muthu Kumar
    Ramesh, Priyanka
    Karuppasamy, Ramanathan
    Veerappapillai, Shanthi
    JOURNAL OF APPLIED GENETICS, 2025, 66 (01) : 115 - 126
  • [29] Editorial: Transcriptome & metabolic profiling: an insight into the abiotic stress response crosstalk in plants
    Yadav, Poonam
    Li, Guanlin
    Mulet, Jose M.
    FRONTIERS IN PLANT SCIENCE, 2024, 15
  • [30] Transcriptome profiling reveals metabolic alteration in Andrographis paniculata in response to continuous cropping
    Li, Junren
    Chen, Xiuzhen
    Zhan, Ruoting
    He, Rui
    INDUSTRIAL CROPS AND PRODUCTS, 2019, 137 : 585 - 596