Gene co-expression network analysis to identify critical modules and candidate genes of drought-resistance in wheat
文献类型: 外文期刊
作者: Lv, Liangjie 1 ; Zhang, Wenying 2 ; Sun, Lijing 1 ; Zhao, Aiju 1 ; Zhang, Yingjun 1 ; Wang, Limei 1 ; Liu, Yuping 1 ; Li, 1 ;
作者机构: 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
期刊名称:PLOS ONE ( 影响因子:3.24; 五年影响因子:3.788 )
ISSN: 1932-6203
年卷期: 2020 年 15 卷 8 期
页码:
收录情况: SCI
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.
- 相关文献
作者其他论文 更多>>
-
Blue light receptor cryptochrome determines primordia formation, fruiting body development and pileus opening in macro mushroom Flammulina filiformis
作者:Wei, Shiyun;Jia, Hui;Zhao, Honglei;Ju, Huiming;Xu, Chang;Liu, Bo;Hong, Yanhong;Fang, Yina;Li, Ziyan;Niu, Mengyao;Tao, Yongxin;Wei, Shiyun;Jia, Hui;Zhao, Honglei;Ju, Huiming;Xu, Chang;Liu, Bo;Hong, Yanhong;Fang, Yina;Li, Ziyan;Niu, Mengyao;Tao, Yongxin;Wei, Shiyun;Jia, Hui;Zhao, Honglei;Ju, Huiming;Xu, Chang;Liu, Bo;Hong, Yanhong;Fang, Yina;Li, Ziyan;Niu, Mengyao;Tao, Yongxin;Li, Hui;Yao, Sen
关键词:Flammulina filiformis; Cryptochrome; Stipe elongation; Pileus opening; Blue light; Cell wall
-
Manipulation of glycine-serine and flavanone metabolism to maintain plasma membrane stability and improve drought tolerance of millet
作者:Wang, Mengjiao;Guo, Jixun;Zhang, Tao;Shi, Lianxuan;Wang, Bianyin;Liu, Yajie;Zhang, Wenying;Wang, Bianyin;Liu, Yajie;Zhang, Wenying;Zhang, Xiao
关键词:Drought; Metabolomics; Millet; Roots; Transcriptomics
-
Integration of UAV Multispectral Remote Sensing and Random Forest for Full-Growth Stage Monitoring of Wheat Dynamics
作者:Zhang, Donghui;Qi, Hao;Sun, Haifang;Min, Jianan;Li, Si;Hou, Liang;Guo, Xiaorui;Lv, Liangjie
关键词:UAV remote sensing; multispectral data; vegetation indices; random forest; precision agriculture; wheat growth monitoring
-
Integrated transcriptome and metabolome analysis revealed differential drought stress response mechanisms of wheat seedlings with varying drought tolerance
作者:Guo, Xiaorui;Lv, Liangjie;Zhao, Aiju;Zhao, Wei;Liu, Yuping;Li, Zetong;Li, Hui;Chen, Xiyong
关键词:
Triticum aestivum L .; Drought stress; Metabolome; Transcriptome; Flavonoids; Phenolic acids -
Precision Agriculture: Temporal and Spatial Modeling of Wheat Canopy Spectral Characteristics
作者:Zhang, Donghui;Hou, Liang;Qi, Hao;Sun, Haifang;Zhang, Xinshi;Li, Si;Min, Jianan;Lv, Liangjie;Liu, Yanwen;Tang, Yuanyuan;Liao, Yao
关键词:UAV remote sensing; wheat growth stages; multispectral analysis; spatio-temporal monitoring; precision agriculture
-
Single-Cell Transcriptome Reveals the Cellular Response to PEG-Induced Stress in Wheat Leaves
作者:Guo, Xiaorui;Zhao, Aiju;Yuping, Liu;Chen, Xiyong;Lv, Liangjie;Guo, Xiaorui;Zhao, Aiju;Yuping, Liu;Chen, Xiyong;Lv, Liangjie;Han, Jiangwei;Cheng, Ziyi;Hou, Liang
关键词:
Triticum aestivum ; scRNA-seq; drought response; cellular heterogeneity; transcriptionfactor -
Estimation of Leaf, Spike, Stem and Total Biomass of Winter Wheat Under Water-Deficit Conditions Using UAV Multimodal Data and Machine Learning
作者:Liu, Jinhang;Wu, Yongfeng;Zhang, Yulin;Zhang, Wenying;Liu, Binhui;Zhang, Wenying;Liu, Binhui;Ma, Juncheng
关键词:UAV; winter wheat; aboveground biomass; multimodality; machine learning



