A transcriptome-based characterization of habituation in plant tissue culture

被引:72
|
作者
Pischke, MS
Huttlin, EL
Hegeman, AD
Sussman, MR [1 ]
机构
[1] Univ Wisconsin, Ctr Biotechnol, Madison, WI 53706 USA
[2] Univ Wisconsin, Dept Biochem, Madison, WI 53706 USA
关键词
D O I
10.1104/pp.105.076059
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
For the last 50 years, scientists have recognized that varying ratios of the plant hormones cytokinin and auxin induce plant cells to form particular tissues: undifferentiated calli, shoot structures, root structures, or a whole plant. Proliferation of undifferentiated callus tissue, greening, and the formation of shoot structures are all cytokinin-dependent processes. Habituation refers to a naturally occurring phenomenon whereby callus cultures, upon continued passage, lose their requirement for cytokinin. Earlier studies of calli with a higher-than-normal cytokinin content indicate that overproduction of cytokinin by the culture tissues is a possible explanation for this acquired cytokinin independence. A transcriptome-based analysis of a well established habituated Arabidopsis (Arabidopsis thaliana) cell culture line was undertaken, to explore genome- wide expression changes underlying the phenomenon of habituation. Increased levels of expression of the cytokinin receptor CRE1, as well as altered levels of expression of several other genes involved in cytokinin signaling, indicated that naturally acquired deregulation of cytokinin-signaling components could play a previously unrecognized role in habituation. Up-regulation of several cytokinin oxidases, downregulation of several known cytokinin-inducible genes, and a lack of regulation of the cytokinin synthases indicated that increases in hormone concentration may not be required for habituation. In addition, up-regulation of the homeodomain transcription factor FWA, transposon-related elements, and several DNA- and chromatin-modifying enzymes indicated that epigenetic changes contribute to the acquisition of cytokinin habituation.
引用
收藏
页码:1255 / 1278
页数:24
相关论文
共 50 条
  • [31] A Transcriptome-Based Drug Discovery Paradigm for Neurodevelopmental Disorders
    Dhindsa, Ryan S.
    Zoghbi, Anthony W.
    Krizay, Daniel K.
    Vasavda, Chirag
    Goldstein, David B.
    ANNALS OF NEUROLOGY, 2021, 89 (02) : 199 - 211
  • [32] TRANSCRIPTOME-BASED DRUG REPURPOSING IN GROUP 3 MEDULLOBLASTOMA
    Doss, David
    Kanchan, Ranjana
    Perumal, Naveen Kumar
    Batra, Surinder
    Mahapatra, Sidharth
    JOURNAL OF INVESTIGATIVE MEDICINE, 2022, 70 (07) : 1634 - 1634
  • [33] Transcriptome-based analysis of putative allergens of Chorioptes texanus
    He, Ran
    Gu, Xiao-Bin
    Xie, Yue
    Peng, Xue-Rong
    Angel, Christiana
    Yang, Guang-You
    PARASITES & VECTORS, 2019, 12 (01)
  • [34] Genome-based and transcriptome-based molecular classification of breast cancer
    Bieche, Ivan
    Lidereau, Rosette
    CURRENT OPINION IN ONCOLOGY, 2011, 23 (01) : 93 - 99
  • [35] Transcriptome-Based Analysis of Dof Family Transcription Factors and Their Responses to Abiotic Stress in Tea Plant (Camellia sinensis)
    Li, Hui
    Huang, Wei
    Liu, Zhi-Wei
    Wang, Yong-Xin
    Zhuang, Jing
    INTERNATIONAL JOURNAL OF GENOMICS, 2016, 2016
  • [36] Transcriptome-based identification and validation of reference genes for plant-bacteria interaction studies using Nicotiana benthamiana
    Pombo, Marina A.
    Ramos, Romina N.
    Zheng, Yi
    Fei, Zhangjun
    Martin, Gregory B.
    Rosli, Hernan G.
    SCIENTIFIC REPORTS, 2019, 9 (1)
  • [37] Transcriptome-Based Identification of a Functional Fasciola hepatica Carboxylesterase B
    Pedroza-Gomez, Yaretzi J.
    Cossio-Bayugar, Raquel
    Aguilar-Diaz, Hugo
    Scarcella, Silvana
    Reynaud, Enrique
    del Rayo Sanchez-Carbente, Maria
    Narvaez-Padilla, Veronica
    Miranda-Miranda, Estefan
    PATHOGENS, 2021, 10 (11):
  • [38] Dissection of intercellular communication using the transcriptome-based framework ICELLNET
    Floriane Noël
    Lucile Massenet-Regad
    Irit Carmi-Levy
    Antonio Cappuccio
    Maximilien Grandclaudon
    Coline Trichot
    Yann Kieffer
    Fatima Mechta-Grigoriou
    Vassili Soumelis
    Nature Communications, 12
  • [39] A transcriptome-based single-cell biological age model and resource for tissue-specific aging measures
    Mao, Shulin
    Su, Jiayu
    Wang, Longteng
    Bo, Xiaochen
    Li, Cheng
    Chen, Hebing
    GENOME RESEARCH, 2023, 33 (08) : 1381 - 1394
  • [40] Immune cells transcriptome-based drug repositioning for multiple sclerosis
    Yin, Xinyue
    Rang, Xinming
    Hong, Xiangxiang
    Zhou, Yinglian
    Xu, Chaohan
    Fu, Jin
    FRONTIERS IN IMMUNOLOGY, 2022, 13