Transcriptome Co-expression Network and Metabolome Analysis Identifies Key Genes and Regulators of Proanthocyanidins Biosynthesis in Brown Cotton

被引:12
|
作者
Wang, Zhenzhen [1 ]
Zhang, Xiaomeng [1 ]
He, Shoupu [1 ,2 ,3 ]
Rehman, Abdul [2 ]
Jia, Yinhua [1 ]
Li, Hongge [1 ,2 ]
Pan, Zhaoe [1 ]
Geng, Xiaoli [1 ]
Gao, Qiong [1 ]
Wang, Liru [1 ]
Peng, Zhen [1 ,2 ,3 ]
Du, Xiongming [1 ,2 ,3 ]
机构
[1] Chinese Acad Agr Sci, Inst Cotton Res, State Key Lab Cotton Biol, Anyang, Peoples R China
[2] Zhengzhou Univ, State Key Lab Cotton Biol, Zhengzhou Res Base, Zhengzhou, Peoples R China
[3] Chinese Acad Agr Sci, Natl Nanfan Res Inst Sanya, Sanya, Peoples R China
来源
基金
中国国家自然科学基金;
关键词
brown cotton; transcriptome; metabolome; flavonoid metabolism; yeast one-hybrid; FIBER COLOR; PIGMENTATION; QUALITY; YIELD;
D O I
10.3389/fpls.2021.822198
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Brown cotton fiber (BCF) is a unique raw material of naturally colored cotton (NCC). But characteristics of the regulatory gene network and metabolic components related to the proanthocyanidins biosynthesis pathway at various stages of its fiber development remain unclear. Here, the dynamic changes in proanthocyanidins biosynthesis components and transcripts in the BCF variety "Zong 1-61" and its white near-isogenic lines (NILs) "RT" were characterized at five fiber developmental stages (0, 5, 10, 15, and 20 days post-anthesis; DPA). Enrichment analysis of differentially expressed genes (DEGs), comparison of metabolome differences, and pathway enrichment analysis of a weighted gene correlation network analysis together revealed the dominant gene expression of flavonoid biosynthesis (FB), phenylpropanoid metabolisms, and some carbohydrate metabolisms at 15 or 20 DPA than white cotton. Eventually, 63 genes were identified from five modules putatively related to FB. Three R2R3-MYB and two bHLH transcription factors were predicted as the core genes. Further, GhANS, GhANR1, and GhUFGT2 were preliminarily regulated by GhMYB46, GhMYB6, and GhMYB3, respectively, according to yeast one-hybrid assays in vitro. Our findings provide an important transcriptional regulatory network of proanthocyanidins biosynthesis pathway and dynamic flavonoid metabolism profiles.
引用
收藏
页数:16
相关论文
共 50 条
  • [31] Key regulators in prostate cancer identified by co-expression module analysis
    Junfeng Jiang
    Peilin Jia
    Zhongming Zhao
    Bairong Shen
    BMC Genomics, 15
  • [32] Gene co-expression network analysis identifies porcine genes associated with variation in Salmonella shedding
    Arun Kommadath
    Hua Bao
    Adriano S Arantes
    Graham S Plastow
    Christopher K Tuggle
    Shawn MD Bearson
    Le Luo Guan
    Paul Stothard
    BMC Genomics, 15
  • [33] Gene co-expression network analysis identifies porcine genes associated with variation in Salmonella shedding
    Kommadath, Arun
    Bao, Hua
    Arantes, Adriano S.
    Plastow, Graham S.
    Tuggle, Christopher K.
    Bearson, Shawn M. D.
    Guan, Le Luo
    Stothard, Paul
    BMC GENOMICS, 2014, 15
  • [34] Weighted gene co-expression network analysis reveals key module and hub genes associated with the anthocyanin biosynthesis in maize pericarp
    Li, Tingchun
    Wang, Yiting
    Dong, Qing
    Wang, Fang
    Kong, Fanna
    Liu, Guihu
    Lei, Yanli
    Yang, Huaying
    Zhou, Yingbing
    Li, Cheng
    FRONTIERS IN PLANT SCIENCE, 2022, 13
  • [35] Transcriptome Co-Expression Network Analysis of Peach Fruit with Different Sugar Concentrations Reveals Key Regulators in Sugar Metabolism Involved in Cold Tolerance
    Wang, Lufan
    Zheng, Xiaolin
    Ye, Zhengwen
    Su, Mingshen
    Zhang, Xianan
    Du, Jihong
    Li, Xiongwei
    Zhou, Huijuan
    Huan, Chen
    FOODS, 2023, 12 (11)
  • [36] A Global Transcriptome and Co-expression Analysis Reveals Robust Host Defense Pathway Reprogramming and Identifies Key Regulators of Early Phases of Cicer-Ascochyta Interactions
    Singh, Ritu
    Dwivedi, Aditi
    Singh, Yeshveer
    Kumar, Kamal
    Ranjan, Aashish
    Verma, Praveen Kumar
    MOLECULAR PLANT-MICROBE INTERACTIONS, 2022, 35 (11) : 1034 - 1047
  • [37] Integrative Analysis of Metabolome and Transcriptome Identifies Potential Genes Involved in the Flavonoid Biosynthesis in Entada phaseoloides Stem
    Lin, Min
    Zhou, Zhuqing
    Mei, Zhinan
    FRONTIERS IN PLANT SCIENCE, 2022, 13
  • [38] Identification of key genes associated with papillary thyroid microcarcinoma characteristics by integrating transcriptome sequencing and weighted gene co-expression network analysis
    Yang, Fan
    Lian, Meng
    Ma, Hongzhi
    Feng, Ling
    Shen, Xixi
    Chen, Jiaming
    Fang, Jugao
    GENE, 2022, 811
  • [39] Identification of Key Genes and Pathways associated with Endometriosis by Weighted Gene Co-expression Network Analysis
    Wu, Jingni
    Fang, Xiaoling
    Xia, Xiaomeng
    INTERNATIONAL JOURNAL OF MEDICAL SCIENCES, 2021, 18 (15): : 3425 - 3436
  • [40] Co-expression Network Analysis Identifies Four Hub Genes Associated With Prognosis in Soft Tissue Sarcoma
    Zhu, Zhenhua
    Jin, Zheng
    Deng, Yuyou
    Wei, Lai
    Yuan, Xiaowei
    Zhang, Mei
    Sun, Dahui
    FRONTIERS IN GENETICS, 2019, 10