Comparative transcriptome and co-expression analysis reveal key genes involved in leaf margin serration in Perilla frutescens

被引:3
作者
Shen, Qi [1 ,2 ,3 ]
Zhang, Dong [2 ]
Zhang, Tian-yuan [2 ]
Xu, Yang-yang [4 ]
Zhao, De-gang [3 ]
机构
[1] Guangzhou Univ Chinese Med, Sch Pharmaceut Sci, Inst Med Plant Physiol & Ecol, Guangzhou 510006, Peoples R China
[2] China Acad Chinese Med Sci, Inst Chinese Mat Med, Beijing 100700, Peoples R China
[3] Guizhou Acad Agr Sci, Guiyang 550008, Peoples R China
[4] China Ctr Informat Ind Dev, Beijing 100036, Peoples R China
关键词
leaf shape development; Perilla frutescens (L.) Britt; transcriptome sequencing; wrinkly leaves; CELL-PROLIFERATION; EXPRESSION; COACTIVATOR; GROWTH;
D O I
10.1016/j.chmed.2019.10.001
中图分类号
R914 [药物化学];
学科分类号
100701 ;
摘要
Objective: In this study, we aimed to identify the genes involved in leaf margin serration in Perilla frutescens. P. frutescens (Family: Lamiaceae) is widely grown in Asian countries. Perilla leaf is the medicinal part stipulated in the Chinese Pharmacopoeia. There are mainly two types of perilla leaves: one with serrated leaf margin which is the phenotype described in the pharmacopoeia and the other with smooth leaf margin. Methods: Transcriptome sequencing, co-expression analysis, and qRT-PCR analysis of six perilla tissues sampled from two different phenotypes (serrated and smooth leaves) were performed. Results: Forty-three differentially expressed genes (DEGs), which may potentially regulate leaf shape, were identified through de novo transcriptome sequencing between the two groups. Genes involved in leaf shape regulation were identified. Simultaneously, we validated five DEGs by qRT-PCR, and the results were consistent with the transcriptome data. In addition, 1186 transcription factors (TFs) belonging to 45 TF families were identified. Moreover, the co-expression network of DEGs was constructed. Conclusion: The study identified the key genes that control leaf shape by comparing the transcriptomes. Our findings also provide basic data for further exploring P. frutescens, which can help study the mechanism of leaf shape development and molecular breeding. (C) 2020 Tianjin Press of Chinese Herbal Medicines. Published by ELSEVIER B.V.
引用
收藏
页码:265 / 272
页数:8
相关论文
共 50 条
  • [21] Comparative Transcriptome Analysis Reveals Key Genes and Pathways Involved in Prickle Development in Eggplant
    Zhang, Lei
    Sun, Haoyun
    Xu, Tao
    Shi, Tianye
    Li, Zongyun
    Hou, Wenqian
    GENES, 2021, 12 (03) : 1 - 16
  • [22] Identification of key modules and hub genes in glioblastoma multiforme based on co-expression network analysis
    Li, Chun
    Pu, Bangming
    Gu, Long
    Zhang, Mingwei
    Shen, Hongping
    Yuan, Yuan
    Liao, Lishang
    FEBS OPEN BIO, 2021, 11 (03): : 833 - 850
  • [23] Identification of key genes involved in the development and progression of early-onset colorectal cancer by co-expression network analysis
    Mo, Xiaoqiong
    Su, Zexin
    Yang, Bingsheng
    Zeng, Zhirui
    Lei, Shan
    Qiao, Hui
    ONCOLOGY LETTERS, 2020, 19 (01) : 177 - 186
  • [24] Systematic prediction of key genes for ovarian cancer by co-expression network analysis
    Wang, Mingyuan
    Wang, Jinjin
    Liu, Jinglan
    Zhu, Lili
    Ma, Heng
    Zou, Jiang
    Wu, Wei
    Wang, Kangkai
    JOURNAL OF CELLULAR AND MOLECULAR MEDICINE, 2020, 24 (11) : 6298 - 6307
  • [25] Transcriptome analysis identifies genes and co-expression networks underlying heat tolerance in pigs
    He, Yuqing
    Maltecca, Christian
    Tiezzi, Francesco
    Soto, Emmanuel Lozada
    Flowers, William L.
    BMC GENETICS, 2020, 21 (01)
  • [26] Leaf and rhizome transcriptome assembly and expression analysis of genes involved in terpene biosynthesis in Dioscorea opposita
    Dianyun Hou
    Yaoyao Wang
    Ruiying Zhang
    Xingli Zhao
    Zhanqiang Ma
    Zhenjie Fan
    Long Wang
    Xiaoran Liu
    Jiaqi Zhang
    Journal of Plant Biochemistry and Biotechnology, 2023, 32 : 63 - 75
  • [27] Leaf and rhizome transcriptome assembly and expression analysis of genes involved in terpene biosynthesis in Dioscorea opposita
    Hou, Dianyun
    Wang, Yaoyao
    Zhang, Ruiying
    Zhao, Xingli
    Ma, Zhanqiang
    Fan, Zhenjie
    Wang, Long
    Liu, Xiaoran
    Zhang, Jiaqi
    JOURNAL OF PLANT BIOCHEMISTRY AND BIOTECHNOLOGY, 2023, 32 (01) : 63 - 75
  • [28] Identify Key Genes by Weighted Gene Co-Expression Network Analysis for Lung Adenocarcinoma
    Xu, Jichen
    Zong, Xianchun
    Ren, Qianshu
    Wang, Hongyu
    Zhao, Lijuan
    Ji, Jingshuang
    Wang, Jiaxing
    Jiao, Zhimin
    Guo, Zhaokui
    Liang, Xiaofei
    NANO LIFE, 2019, 9 (1-2)
  • [29] Key genes and co-expression network analysis in the livers of type 2 diabetes patients
    Li, Lu
    Pan, Zongfu
    Yang, Xi
    JOURNAL OF DIABETES INVESTIGATION, 2019, 10 (04) : 951 - 962
  • [30] Identifying key genes in rheumatoid arthritis by weighted gene co-expression network analysis
    Ma, Chunhui
    Lv, Qi
    Teng, Songsong
    Yu, Yinxian
    Niu, Kerun
    Yi, Chengqin
    INTERNATIONAL JOURNAL OF RHEUMATIC DISEASES, 2017, 20 (08) : 971 - 979