Integrating multi-omics data reveals energy and stress signaling activated by abscisic acid in Arabidopsis

被引:1
|
作者
Yoshida, Takuya [1 ,2 ,5 ,6 ]
Mergner, Julia [3 ,4 ]
Yang, Zhenyu [1 ]
Liu, Jinghui [1 ]
Kuster, Bernhard [4 ]
Fernie, Alisdair R. [2 ]
Grill, Erwin [1 ]
机构
[1] Tech Univ Munich, Lehrstuhl Bot, Emil Ramann Str 4, D-85354 Freising Weihenstephan, Germany
[2] Max Planck Inst Molekulare Pflanzenphysiol, D-14476 Potsdam Golm, Germany
[3] Tech Univ Munich, Bavarian Ctr Biomol Mass Spectrometry Klinikum rec, Munich, Germany
[4] Tech Univ Munich, Chair Proteom & Bioanalyt, Freising Weihenstephan, Germany
[5] Natl Inst Basic Biol, Transom Facil, Okazaki 4448585, Japan
[6] Grad Univ Adv Studies SOKENDAI, Dept Basic Biol, Okazaki, 4448585, Japan
来源
PLANT JOURNAL | 2024年 / 119卷 / 02期
关键词
abscisic acid; phosphoproteomics; proteomics; metabolite profiling; Arabidopsis thaliana; receptor; kinase; energy signaling; stress response; SNF1-RELATED PROTEIN-KINASE; PLANT-GROWTH; ABA RECEPTOR; QUANTITATIVE PHOSPHOPROTEOMICS; FUNCTIONAL-CHARACTERIZATION; COMPUTATIONAL PLATFORM; PHOSPHORYLATION SITES; INSENSITIVE MUTANTS; GAS-CHROMATOGRAPHY; AUXIN BIOSYNTHESIS;
D O I
10.1111/tpj.16765
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Phytohormones are essential signaling molecules regulating various processes in growth, development, and stress responses. Genetic and molecular studies, especially using Arabidopsis thaliana (Arabidopsis), have discovered many important players involved in hormone perception, signal transduction, transport, and metabolism. Phytohormone signaling pathways are extensively interconnected with other endogenous and environmental stimuli. However, our knowledge of the huge and complex molecular network governed by a hormone remains limited. Here we report a global overview of downstream events of an abscisic acid (ABA) receptor, REGULATORY COMPONENTS OF ABA RECEPTOR (RCAR) 6 (also known as PYRABACTIN RESISTANCE 1 [PYR1]-LIKE [PYL] 12), by integrating phosphoproteomic, proteomic and metabolite profiles. Our data suggest that the RCAR6 overexpression constitutively decreases the protein levels of its coreceptors, namely clade A protein phosphatases of type 2C, and activates sucrose non-fermenting-1 (SNF1)-related protein kinase 1 (SnRK1) and SnRK2, the central regulators of energy and ABA signaling pathways. Furthermore, several enzymes in sugar metabolism were differentially phosphorylated and expressed in the RCAR6 line, and the metabolite profile revealed altered accumulations of several organic acids and amino acids. These results indicate that energy- and water-saving mechanisms mediated by the SnRK1 and SnRK2 kinases, respectively, are under the control of the ABA receptor-coreceptor complexes. Phosphoproteomic, proteomic, and metabolite profiles of the Arabidopsis overexpressing an abscisic acid (ABA) receptor were integrated, providing a global overview of the complex network governed by a hormone. The overproduction of an ABA receptor caused the decreased protein levels of its coreceptor phosphatases, activating the central regulatory kinases of energy and stress signaling.
引用
收藏
页码:1112 / 1133
页数:22
相关论文
共 50 条
  • [1] Integrating multi-omics data reveals neuroblastoma subtypes in the tumor microenvironment
    Fan, Jinhua
    Tang, Shuxin
    Kong, Xiangru
    Cun, Yupeng
    LIFE SCIENCES, 2024, 359
  • [2] Integration of multi-omics data reveals interplay between brassinosteroid and Target of Rapamycin Complex signaling in Arabidopsis
    Montes, Christian
    Wang, Ping
    Liao, Ching-Yi
    Nolan, Trevor M.
    Song, Gaoyuan
    Clark, Natalie M.
    Elmore, J. Mitch
    Guo, Hongqing
    Bassham, Diane C.
    Yin, Yanhai
    Walley, Justin W.
    NEW PHYTOLOGIST, 2022, 236 (03) : 893 - 910
  • [3] Integrating multi-omics data reveals function and therapeutic potential of deubiquitinating enzymes
    Doherty, Laura M.
    Mills, Caitlin E.
    Boswell, Sarah A.
    Liu, Xiaoxi
    Hoyt, Charles Tapley
    Gyori, Benjamin
    Buhrlage, Sara J.
    Sorger, Peter K.
    Hauf, Silke
    ELIFE, 2022, 11
  • [4] Integrating multi-omics data for crop improvement
    Scossa, Federico
    Alseekh, Saleh
    Fernie, Alisdair R.
    JOURNAL OF PLANT PHYSIOLOGY, 2021, 257
  • [5] Skin multi-omics data analysis reveals in the impact of life stress on skin
    Li, B.
    Tian, S.
    Kolbe, L.
    Zou, Y.
    Wang, S.
    JOURNAL OF INVESTIGATIVE DERMATOLOGY, 2022, 142 (08) : S85 - S85
  • [6] On a novel statistical method for integrating multi-omics data
    Das, Sarmistha
    Mukhopadhyay, Indranil
    GENETIC EPIDEMIOLOGY, 2020, 44 (05) : 506 - 506
  • [7] Approaches to Integrating Metabolomics and Multi-Omics Data: A Primer
    Jendoubi, Takoua
    METABOLITES, 2021, 11 (03)
  • [8] Integrating adipocyte insulin signaling and metabolism in the multi-omics era
    Calejman, C. Martinez
    Doxsey, W. G.
    Fazakerley, D. J.
    Guertin, D. A.
    TRENDS IN BIOCHEMICAL SCIENCES, 2022, 47 (06) : 531 - 546
  • [9] Galbase: a comprehensive repository for integrating chicken multi-omics data
    Fu, Weiwei
    Wang, Rui
    Xu, Naiyi
    Wang, Jinxin
    Li, Ran
    Asadollahpour Nanaei, Hojjat
    Nie, Qinghua
    Zhao, Xin
    Han, Jianlin
    Yang, Ning
    Jiang, Yu
    BMC GENOMICS, 2022, 23 (01)
  • [10] Multi-omics analysis reveals neuroinflammation, activated glial signaling, and dysregulated synaptic signaling and metabolism in the hippocampus of aged mice
    Lu, Yinzhong
    Xu, Kejia
    Lin, Dongyang
    Wang, Shuyan
    Fu, Rao
    Deng, Xiaobei
    Croppi, Giorgia
    Zhang, Junjie
    FRONTIERS IN AGING NEUROSCIENCE, 2022, 14