Novel mechanisms for the synthesis of important secondary metabolites in Ginkgo biloba seed revealed by multi-omics data

被引:3
|
作者
He, Bing [1 ]
Qian, Kun [1 ]
Han, Xin [2 ]
Li, Jianyang [1 ]
Zhou, Qi [3 ]
Xu, Li-an [2 ]
Liu, Hailin [1 ]
Cui, Peng [1 ]
机构
[1] Chinese Acad Agr Sci, Agr Genom Inst Shenzhen, Shenzhen, Peoples R China
[2] Nanjing Forestry Univ, Coinnovat Ctr Sustainable Forestry Southern China, Nanjing, Peoples R China
[3] Zhejiang Acad Forestry, Inst Forestry Breeding, Hangzhou, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
ginkgolic acids; secondary metabolites; large intron; gene expression; Ginkgo biloba; ACID; SYNTHASE; BIOSYNTHESIS; GENOME; EXTRACT; EGB-761; LEAVES;
D O I
10.3389/fpls.2023.1196609
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Although the detailed biosynthetic mechanism is still unclear, the unique secondary metabolites of Ginkgo biloba, including ginkgolic acids (GAs) and terpene trilactones, have attracted increasing attention for their potent medicinal, physiological and biochemical properties. In particular, GAs have shown great potential in the fields of antibacterial and insecticidal activities, making it urgent to elucidate their biosynthetic mechanism. In this study, we systematically revealed the landscape of metabolic-transcriptional regulation across continuous growth stages of G. biloba seeds (GBS) based on multi-omics mining and experimental verification, and successfully identified all major types of GAs and terpene trilactones along with more than a thousand kinds of other metabolites. The phenological changes and the essential gene families associated with these unique metabolites were analyzed in detail, and several potential regulatory factors were successfully identified based on co-expression association analysis. In addition, we unexpectedly found the close relationship between large introns and the biosynthesis of these secondary metabolites. These genes with large introns related to the synthesis of secondary metabolites showed higher gene expression and expression stability in different tissues or growth stages. Our results may provide a new perspective for the study of the regulatory mechanism of these unique secondary metabolites in GBS.
引用
收藏
页数:13
相关论文
共 50 条
  • [41] Autophagy unrelated transcriptional mechanisms of hydroxychloroquine resistance revealed by integrated multi-omics of evolved cancer cells
    Vaena, Silvia G.
    Romeo, Martin J.
    Mina-Abouda, Mirna
    Funk, Emma C.
    Fullbright, George
    Long, David T.
    Delaney, Joe R.
    CELL CYCLE, 2024,
  • [42] Integration of Multi-Omics Data for the Classification of Glioma Types and Identification of Novel Biomarkers
    Vieira, Francisca G.
    Bispo, Regina
    Lopes, Marta B.
    BIOINFORMATICS AND BIOLOGY INSIGHTS, 2024, 18
  • [43] Multi-omics data integration reveals novel drug targets in hepatocellular carcinoma
    Christos Dimitrakopoulos
    Sravanth Kumar Hindupur
    Marco Colombi
    Dritan Liko
    Charlotte K. Y. Ng
    Salvatore Piscuoglio
    Jonas Behr
    Ariane L. Moore
    Jochen Singer
    Hans-Joachim Ruscheweyh
    Matthias S. Matter
    Dirk Mossmann
    Luigi M. Terracciano
    Michael N. Hall
    Niko Beerenwinkel
    BMC Genomics, 22
  • [44] Multi-omics revealed antibacterial mechanisms of licochalcone A against MRSA and its antimicrobic potential on pork meat
    Zeng, Fei
    Shao, Shijuan
    Zou, Zhilu
    Guo, Siqi
    Cai, Yu
    Yan, Chunchao
    Chen, Yunzhong
    Wang, Maolin
    Shi, Tingting
    FOOD CHEMISTRY-X, 2024, 24
  • [45] Genetic mechanisms underlying oncogenic metabolic switch revealed by pan-cancer multi-omics analysis
    McClure, Marni B.
    Saito, Yuki
    Kogure, Yasunori
    Kataoke, Keisuke
    CANCER SCIENCE, 2021, 112 : 308 - 308
  • [46] Multi-omics Data Integration for Identifying Osteoporosis Biomarkers and Their Biological Interaction and Causal Mechanisms
    Qiu, Chuan
    Yu, Fangtang
    Su, Kuanjui
    Zhao, Qi
    Zhang, Lan
    Xu, Chao
    Hu, Wenxing
    Wang, Zun
    Zhao, Lanjuan
    Tian, Qing
    Wang, Yuping
    Deng, Hongwen
    Shen, Hui
    ISCIENCE, 2020, 23 (02)
  • [47] Integrating Multi-omics Data to Dissect Mechanisms of DNA repair Dysregulation in Breast Cancer
    Liu, Chao
    Rohart, Florian
    Simpson, Peter T.
    Khanna, Kum Kum
    Ragan, Mark A.
    Le Cao, Kim-Anh
    SCIENTIFIC REPORTS, 2016, 6
  • [48] Integrating Multi-omics Data to Dissect Mechanisms of DNA repair Dysregulation in Breast Cancer
    Chao Liu
    Florian Rohart
    Peter T. Simpson
    Kum Kum Khanna
    Mark A. Ragan
    Kim-Anh Lê Cao
    Scientific Reports, 6
  • [49] Exploring epigenomic mechanisms of neural tube defects using multi-omics methods and data
    Huang, Wanqi
    Yuan, Zhengwei
    Gu, Hui
    ANNALS OF THE NEW YORK ACADEMY OF SCIENCES, 2022, 1515 (01) : 50 - 60
  • [50] Molecular mechanisms reconstruction from single-cell multi-omics data with HuMMuS
    Trimbour, Remi
    Deutschmann, Ina Maria
    Cantini, Laura
    BIOINFORMATICS, 2024, 40 (05)