Stomatal maturomics: hunting genes regulating guard cell maturation and function formation from single-cell transcriptomes

被引:0
|
作者
Peng, Yuming [1 ,3 ]
Liu, Yi [1 ]
Wang, Yifan [1 ]
Geng, Zhenxing [1 ]
Qin, Yue [1 ]
Ma, Shisong [1 ,2 ]
机构
[1] Univ Sci & Technol China, Innovat Acad Seed Design, Chinese Acad Sci,Div Life Sci & Med, Sch Life Sci,MOE,Key Lab Cellular Dynam, Hefei 230027, Anhui, Peoples R China
[2] Univ Sci & Technol China, Sch Data Sci, Hefei 230027, Anhui, Peoples R China
[3] Henan Univ, Sch Quantum Informat Future Technol, Henan Key Lab Quantum Mat & Quantum Energy, Kaifeng 450046, Henan, Peoples R China
基金
中国国家自然科学基金;
关键词
Stomata maturomics; Hoop rigidity; Stomatal aperture; Single-cell analysis; G2-like transcription factors; MYS1; MYS2; ABSCISIC-ACID; LINEAGE; DIFFERENTIATION; TERMINATION; EXPRESSION; MOVEMENTS; DYNAMICS; DIVISION; SLAC1;
D O I
10.1016/].]gg.2024.05.004
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
Stomata play critical roles in gas exchange and immunity to pathogens. While many genes regulating early stomatal development up to the production of young guard cells (GCs) have been identified in Arabidopsis, much less is known about how young GCs develop into mature functional stomata. Here we perform a maturomics study on stomata, with "maturomics" defined as omics analysis of the maturation process of a tissue or organ. We develop an integrative scheme to analyze three public stomata-related single-cell RNAseq datasets and identify a list of 586 genes that are specifically up-regulated in all three datasets during stomatal maturation and function formation. The list, termed sc_586, is enriched with known regulators of stomatal maturation and functions. To validate the reliability of the dataset, we selected two candidate G2like transcription factor genes, MYS1 and MYS2, to investigate their roles in stomata. These two genes redundantly regulate the size and hoop rigidity of mature GCs, and the mys1 mys2 double mutants cause mature GCs with severe defects in regulating their stomatal apertures. Taken together, our results provide a valuable list of genes for studying GC maturation and function formation. Copyright (c) 2024, The Authors. Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, and Genetics Society of China. Published by Elsevier Limited and Science Press. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
引用
收藏
页码:1286 / 1299
页数:14
相关论文
共 50 条
  • [1] Stomatal maturomics: hunting genes regulating guard cell maturation and function formation from single-cell transcriptomes
    Yuming Peng
    Yi Liu
    Yifan Wang
    Zhenxing Geng
    Yue Qin
    Shisong Ma
    Journal of Genetics and Genomics, 2024, 51 (11) : 1286 - 1299
  • [2] Constructing cell lineages from single-cell transcriptomes
    Chen, Jinmiao
    Renia, Laurent
    Ginhoux, Florent
    MOLECULAR ASPECTS OF MEDICINE, 2018, 59 : 95 - 113
  • [3] Cell type identification from single-cell transcriptomes in melanoma
    Huo, Qiuyan
    Yin, Yu
    Liu, Fangfang
    Ma, Yuying
    Wang, Liming
    Qin, Guimin
    BMC MEDICAL GENOMICS, 2021, 14 (SUPPL 5)
  • [4] Cell type identification from single-cell transcriptomes in melanoma
    Qiuyan Huo
    Yu Yin
    Fangfang Liu
    Yuying Ma
    Liming Wang
    Guimin Qin
    BMC Medical Genomics, 14
  • [5] T cell fate and clonality inference from single-cell transcriptomes
    Stubbington, Michael J. T.
    Lonnberg, Tapio
    Proserpio, Valentina
    Clare, Simon
    Speak, Anneliese
    Dougan, Gordon
    Teichmann, Sarah A.
    NATURE METHODS, 2016, 13 (04) : 329 - 332
  • [6] T cell fate and clonality inference from single-cell transcriptomes
    Stubbington M.J.T.
    Lönnberg T.
    Proserpio V.
    Clare S.
    Speak A.O.
    Dougan G.
    Teichmann S.A.
    Nature Methods, 2016, 13 (4) : 329 - 332
  • [7] Deciphering Developmental Processes from Single-Cell Transcriptomes
    Robson, Paul
    DEVELOPMENTAL CELL, 2014, 29 (03) : 260 - 261
  • [8] scRCMF: Identification of Cell Subpopulations and Transition States From Single-Cell Transcriptomes
    Zheng, Xiaoying
    Jin, Suoqin
    Nie, Qing
    Zou, Xiufen
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2020, 67 (05) : 1418 - 1428
  • [9] Identification of cell types from single-cell transcriptomes using a novel clustering method
    Xu, Chen
    Su, Zhengchang
    BIOINFORMATICS, 2015, 31 (12) : 1974 - 1980
  • [10] From single-cell to cell-pool transcriptomes: Stochasticity in gene expression and RNA splicing
    Marinov, Georgi K.
    Williams, Brian A.
    McCue, Ken
    Schroth, Gary P.
    Gertz, Jason
    Myers, Richard M.
    Wold, Barbara J.
    GENOME RESEARCH, 2014, 24 (03) : 496 - 510