Gene co-expression network analysis to identify critical modules and candidate genes of drought-resistance in wheat

被引:22
|
作者
Lv, Liangjie [1 ]
Zhang, Wenying [2 ]
Sun, Lijing [1 ]
Zhao, Aiju [1 ]
Zhang, Yingjun [1 ]
Wang, Limei [1 ]
Liu, Yuping [1 ]
Li, Ziqian [1 ]
Li, Hui [1 ]
Chen, Xiyong [1 ]
机构
[1] Hebei Acad Agr & Forestry Sci, Inst Cereal & Oil Crops, Crop Genet & Breeding Lab Hebei, Shijiazhuang, Hebei, Peoples R China
[2] Hebei Acad Agr & Forestry Sci, Inst Dryland Farming, Hengshui, Peoples R China
来源
PLOS ONE | 2020年 / 15卷 / 08期
关键词
GRAIN NUMBER; WATER-STRESS; ROOT-GROWTH; TOLERANCE; YIELD; TRANSCRIPTOMICS; ACCUMULATION; TEMPERATURE; EXPRESSION; CAPACITY;
D O I
10.1371/journal.pone.0236186
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Aim To establish a gene co-expression network for identifying principal modules and hub genes that are associated with drought resistance mechanisms, analyzing their mechanisms, and exploring candidate genes. Methods and findings 42 data sets including PRJNA380841 and PRJNA369686 were used to construct the co-expression network through weighted gene co-expression network analysis (WGCNA). A total of 1,896,897,901 (284.30 Gb) clean reads and 35,021 differentially expressed genes (DEGs) were obtained from 42 samples. Functional enrichment analysis indicated that photosynthesis, DNA replication, glycolysis/gluconeogenesis, starch and sucrose metabolism, arginine and proline metabolism, and cell cycle were significantly influenced by drought stress. Furthermore, the DEGs with similar expression patterns, detected by K-means clustering, were grouped into 29 clusters. Genes involved in the modules, such as dark turquoise, yellow, and brown, were found to be appreciably linked with drought resistance. Twelve central, greatly correlated genes in stage-specific modules were subsequently confirmed and validated at the transcription levels, includingTraesCS7D01G417600.1 (PP2C),TraesCS5B01G565300.1 (ERF),TraesCS4A01G068200.1 (HSP),TraesCS2D01G033200.1 (HSP90),TraesCS6B01G425300.1 (RBD),TraesCS7A01G499200.1 (P450),TraesCS4A01G118400.1 (MYB),TraesCS2B01G415500.1 (STK),TraesCS1A01G129300.1 (MYB),TraesCS2D01G326900.1 (ALDH),TraesCS3D01G227400.1 (WRKY), andTraesCS3B01G144800.1 (GT). Conclusions Analyzing the response of wheat to drought stress during different growth stages, we have detected three modules and 12 hub genes that are associated with drought resistance mechanisms, and five of those genes are newly identified for drought resistance. The references provided by these modules will promote the understanding of the drought-resistance mechanism. In addition, the candidate genes can be used as a basis of transgenic or molecular marker-assisted selection for improving the drought resistance and increasing the yields of wheat.
引用
收藏
页数:18
相关论文
共 50 条
  • [1] Weighted gene co-expression network analysis to identify key modules and hub genes related to hyperlipidaemia
    Liao, Fu-Jun
    Zheng, Peng-Fei
    Guan, Yao-Zong
    Pan, Hong-Wei
    Li, Wei
    NUTRITION & METABOLISM, 2021, 18 (01)
  • [2] Weighted gene co-expression network analysis to identify key modules and hub genes related to hyperlipidaemia
    Fu-Jun Liao
    Peng-Fei Zheng
    Yao-Zong Guan
    Hong-Wei Pan
    Wei Li
    Nutrition & Metabolism, 18
  • [3] Identification of key gene modules and genes in colorectal cancer by co-expression analysis weighted gene co-expression network analysis
    Wang, Peng
    Zheng, Huaixin
    Zhang, Jiayu
    Wang, Yashu
    Liu, Pingping
    Xuan, Xiaoyan
    Li, Qianru
    Du, Ying
    BIOSCIENCE REPORTS, 2020, 40
  • [4] Weighted gene co-expression network analysis to identify key modules and hub genes associated with paucigranulocytic asthma
    Li, Min
    Zhu, Wenye
    Wang, Chu
    Zheng, Yuanyuan
    Sun, Shibo
    Fang, Yan
    Luo, Zhuang
    BMC PULMONARY MEDICINE, 2021, 21 (01)
  • [5] Weighted gene co-expression network analysis to identify key modules and hub genes associated with paucigranulocytic asthma
    Min Li
    Wenye Zhu
    Chu Wang
    Yuanyuan Zheng
    Shibo Sun
    Yan Fang
    Zhuang Luo
    BMC Pulmonary Medicine, 21
  • [6] Weighted gene co-expression network analysis to identify key modules and hub genes associated with atrial fibrillation
    Li, Wenyuan
    Wang, Lijun
    Wu, Yue
    Yuan, Zuyi
    Zhou, Juan
    INTERNATIONAL JOURNAL OF MOLECULAR MEDICINE, 2020, 45 (02) : 401 - 416
  • [7] Combining QTL mapping and gene co-expression network analysis for prediction of candidate genes and molecular network related to yield in wheat
    Wei, Jun
    Fang, Yu
    Jiang, Hao
    Wu, Xing-ting
    Zuo, Jing-hong
    Xia, Xian-chun
    Li, Jin-quan
    Stich, Benjamin
    Cao, Hong
    Liu, Yong-xiu
    BMC PLANT BIOLOGY, 2022, 22 (01)
  • [8] Combining QTL mapping and gene co-expression network analysis for prediction of candidate genes and molecular network related to yield in wheat
    Jun Wei
    Yu Fang
    Hao Jiang
    Xing-ting Wu
    Jing-hong Zuo
    Xian-chun Xia
    Jin-quan Li
    Benjamin Stich
    Hong Cao
    Yong-xiu Liu
    BMC Plant Biology, 22
  • [9] 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)
  • [10] Using weighted gene co-expression network analysis to identify key modules and hub genes in tongue squamous cell carcinoma
    Yin, Ke
    Zhang, Ying
    Zhang, Suxin
    Bao, Yang
    Guo, Jie
    Zhang, Guanhua
    Li, Tianke
    MEDICINE, 2019, 98 (37)