A gene expression atlas for kiwifruit (Actinidia chinensis) and network analysis of transcription factors

被引:23
|
作者
Brian, Lara [1 ]
Warren, Ben [1 ,2 ]
McAtee, Peter [1 ]
Rodrigues, Jessica [1 ]
Nieuwenhuizen, Niels [1 ]
Pasha, Asher [3 ]
David, Karine M. [2 ]
Richardson, Annette [4 ]
Provart, Nicholas J. [3 ]
Allan, Andrew C. [1 ,2 ]
Varkonyi-Gasic, Erika [1 ]
Schaffer, Robert J. [2 ,5 ]
机构
[1] New Zealand Inst Plant & Food Res Ltd, Plant & Food Res, Private Bag 92169, Auckland 1146, New Zealand
[2] Univ Auckland, Sch Biol Sci, Private Bag 92019, Auckland 1146, New Zealand
[3] Univ Toronto, Ctr Anal Genome Evolut & Funct, Dept Cell & Syst Biol, 25 Willcocks St, Toronto, ON M5S 3B2, Canada
[4] New Zealand Inst Plant & Food Res Ltd, Plant & Food Res, 121 Keri Downs Rd, Kerikeri 0294, New Zealand
[5] New Zealand Inst Plant & Food Res Ltd, Plant & Food Res, 55 Old Mill Rd, Motueka 7198, New Zealand
关键词
Actinidia; eFP browser; Transcription factors; ARABIDOPSIS; GENOME; FRUIT; IDENTIFICATION; DIVERSITY; ETHYLENE;
D O I
10.1186/s12870-021-02894-x
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
BackgroundTranscriptomic studies combined with a well annotated genome have laid the foundations for new understanding of molecular processes. Tools which visualise gene expression patterns have further added to these resources. The manual annotation of the Actinidia chinensis (kiwifruit) genome has resulted in a high quality set of 33,044 genes. Here we investigate gene expression patterns in diverse tissues, visualised in an Electronic Fluorescent Pictograph (eFP) browser, to study the relationship of transcription factor (TF) expression using network analysis.ResultsSixty-one samples covering diverse tissues at different developmental time points were selected for RNA-seq analysis and an eFP browser was generated to visualise this dataset. 2839 TFs representing 57 different classes were identified and named. Network analysis of the TF expression patterns separated TFs into 14 different modules. Two modules consisting of 237 TFs were correlated with floral bud and flower development, a further two modules containing 160 TFs were associated with fruit development and maturation. A single module of 480 TFs was associated with ethylene-induced fruit ripening. Three "hub" genes correlated with flower and fruit development consisted of a HAF-like gene central to gynoecium development, an ERF and a DOF gene. Maturing and ripening hub genes included a KNOX gene that was associated with seed maturation, and a GRAS-like TF.ConclusionsThis study provides an insight into the complexity of the transcriptional control of flower and fruit development, as well as providing a new resource to the plant community. The Actinidia eFP browser is provided in an accessible format that allows researchers to download and work internally.
引用
收藏
页数:11
相关论文
共 50 条
  • [41] Differential Gene Expression Pattern of Drought Responsive Transcription Factors in Chickpea: An Expressional Analysis
    Sara Borhani
    Saeedreza Vessal
    Abdolreza Bagheri
    Farhad Shokouhifar
    Journal of Plant Growth Regulation, 2020, 39 : 1211 - 1220
  • [42] Genome-wide analysis and expression profiling of the HD-ZIP gene family in kiwifruit
    Ye, Kai-yu
    Li, Jie-wei
    Wang, Fa-ming
    Gao, Jian-you
    Liu, Cui-xia
    Gong, Hong-juan
    Qi, Bei-bei
    Liu, Ping-ping
    Jiang, Qiao-sheng
    Tang, Jian-min
    Mo, Quan-hui
    BMC GENOMICS, 2024, 25 (01)
  • [43] Systematic genetic analysis of transcription factors to map the fission yeast transcription-regulatory network
    Chua, Gordon
    BIOCHEMICAL SOCIETY TRANSACTIONS, 2013, 41 : 1696 - 1700
  • [44] An Intricate Network of Conserved DNA Upstream Motifs and Associated Transcription Factors Regulate the Expression of Uromodulin Gene
    Srivastava, Rajneesh
    Micanovic, Radmila
    El-Achkar, Tarek M.
    Janga, Sarath Chandra
    JOURNAL OF UROLOGY, 2014, 192 (03) : 981 - 989
  • [45] Analysis of Gene Regulatory Network and Transcription Factors in Different Tissues of the Stropharia rugosoannulata Fruiting Body
    Lu, Jia
    Yan, Jing
    Lu, Na
    Song, Jiling
    Lin, Jiayao
    Zhou, Xiaohua
    Ying, Xuebing
    Li, Zhen
    Zhou, Zufa
    Yao, Fangjie
    JOURNAL OF FUNGI, 2025, 11 (02)
  • [46] Molecular Characterization and Expression Analysis of NAC Family Transcription Factors in Tomato
    Kou, Xiaohong
    Wang, Shuang
    Wu, Mengshi
    Guo, Runzi
    Xue, Zhaohui
    Meng, Nan
    Tao, Xiaomin
    Chen, Mimi
    Zhang, Yifei
    PLANT MOLECULAR BIOLOGY REPORTER, 2014, 32 (02) : 501 - 516
  • [47] Optimized regulation of gene expression using artificial transcription factors
    Yaghmai, R
    Cutting, GR
    MOLECULAR THERAPY, 2002, 5 (06) : 685 - 694
  • [48] Transcription factors responsible for megakaryocyte-specific gene expression
    Doi, T
    YAKUGAKU ZASSHI-JOURNAL OF THE PHARMACEUTICAL SOCIETY OF JAPAN, 2005, 125 (09): : 685 - 697
  • [49] Comprehensive analysis of plastid gene expression during fruit development and ripening of kiwifruit
    Chen, Qiqi
    Shen, Pan
    Bock, Ralph
    Li, Shengchun
    Zhang, Jiang
    PLANT CELL REPORTS, 2022, 41 (04) : 1103 - 1114
  • [50] Network analysis of microRNAs, transcription factors, and target genes involved in axon regeneration
    Su, Li-ning
    Song, Xiao-qing
    Xue, Zhan-xia
    Zheng, Chen-qing
    Yin, Hai-feng
    Wei, Hui-ping
    JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE B, 2018, 19 (04): : 293 - 304