农科机构知识库联盟

Response of Multiple Tissues to Drought Revealed by a Weighted Gene Co-Expression Network Analysis in Foxtail Millet [Setaria italica (L.) P. Beauv.]

文献类型：外文期刊

第一作者： Zhang, Renliang

作者： Zhang, Renliang;Zhi, Hui;Tang, Sha;Guo, Weixia;Zhang, Linlin;Jia, Guanqing;Diao, Xianmin;Li, Yuhui;Guo, Erhu;Feng, Guojun

作者机构：

关键词： Setaria italica; WGCNA; drought; multi-tissue; jointing stage; RNA-Seq

期刊名称：FRONTIERS IN PLANT SCIENCE （影响因子：6.627；五年影响因子：7.255 ）

ISSN： 1664-462X

年卷期： 2022 年 12 卷

页码：

收录情况： SCI

摘要： Characterization of drought-tolerance mechanisms during the jointing stage in foxtail millet under water-limited conditions is essential for improving the grain yield of this C-4 crop species. In this trial, two drought-tolerant and two drought-sensitive cultivars were examined using transcriptomic dissections of three tissues (root, stem, and leaf) under naturally occurring water-limited conditions. We detected a total of 32,170 expressed genes and characterized 13,552 differentially expressed genes (DEGs) correlated with drought treatment. The majority of DEGs were identified in the root tissue, followed by leaf and stem tissues, and the number of DEGs identified in the stems of drought-sensitive cultivars was about two times higher than the drought-tolerant ones. A total of 127 differentially expressed transcription factors (DETFs) with different drought-responsive patterns were identified between drought-tolerant and drought-sensitive genotypes (including MYB, b-ZIP, ERF, and WRKY). Furthermore, a total of 34 modules were constructed for all expressed genes using a weighted gene co-expression network analysis (WGCNA), and seven modules were closely related to the drought treatment. A total of 1,343 hub genes (including RAB18, LEA14, and RD22) were detected in the drought-related module, and cell cycle and DNA replication-related transcriptional pathways were identified as vital regulators of drought tolerance in foxtail millet. The results of this study provide a comprehensive overview of how Setaria italica copes with drought-inflicted environments during the jointing stage through transcriptional regulating strategies in different organs and lays a foundation for the improvement of drought-tolerant cereal cultivars through genomic editing approaches in the future.

分类号：

相关文献

作者其他论文更多>>

Identification and characterization of ClAPRR2, a key candidate gene controlling watermelon stripe color

作者：Liang, Shuang;Yang, Miaomiao;Zhang, Linlin;Fang, Xufeng;Luan, Feishi;Liu, Shi;Liang, Shuang;Yang, Miaomiao;Zhang, Linlin;Fang, Xufeng;Luan, Feishi;Liu, Shi;Zhang, Xian;Wei, Chunhua;Dai, Zuyun;Yang, Zhongzhou;Wang, Chaonan;Liu, Bin

关键词：Watermelon; Stripe color; Genetic mapping; Chlorophyll
Research on variety identification of common bean seeds based on hyperspectral and deep learning

作者：Li, Shujia;Sun, Laijun;Zhang, Lingyu;Bai, Hongyi;Wang, Ziyue;Jin, Xiuliang;Feng, Guojun

关键词：Hyperspectral; Common bean; Convolutional neural network; Deep learning
Genome-Wide Identification and Functional Prediction of LRR-RLK Family Genes in Foxtail Millet (Setaria italica) in Response to Stress

作者：Li, Zhijiang;Dong, Xiaojie;Ma, Jinfeng;Yu, Jinhai;Li, Xiangyu;Zheng, Yalu;Sun, Guangquan;Kang, Xinmiao;Song, Miaomiao;Liu, Xiaotong;Diao, Xianmin

关键词：LRR-RLK; foxtail millet; evolution analysis; stress response
An efficient target-mutant screening platform of model variety Ci846 facilitates genetic studies of Setaria

作者：Zhang, Hui;Liang, Hongkai;Zhi, Hui;Yuan, Di;Yao, Qi;Zhang, Renliang;Xing, Lihe;Yang, Baolan;Sang, Luman;Zhao, Lirong;Tang, Sha;Wang, Liwei;Wang, Hailong;Ren, Yushuang;Zhang, Hui;Zhang, Yanyan;Wang, Enbo;Man, Xinyu;Xu, Gongjin;Zhang, Linlin;He, Qiang;Diao, Xianmin;Jia, Guanqing;Diao, Xianmin;Jia, Guanqing

关键词：Setaria; foxtail millet; mutant library; phenotypic characterization; wholegenome resequencing
Research on identification of common bean seed vigor based on hyperspectral and deep learning

作者：Li, Shujia;Zhang, Lingyu;Bai, Hongyi;Sun, Laijun;Jin, Xiuliang;Feng, Guojun

关键词：Hyperspectral technology; Common bean; Seed vigor; Deep learning; Feature extraction
Cropformer: An interpretable deep learning framework for crop genomic prediction

作者：Wang, Hao;Yan, Shen;He, Qiang;Diao, Xianmin;Chen, Yanqing;Cao, Yongsheng;Fang, Wei;Wang, Wenxi;Chen, Yongming;Guo, Weilong;Wang, Wenxi;Chen, Yongming;Guo, Weilong;Hong, Jingpeng;Lin, Yunan;Chen, Yongming

关键词：deep learning; genomic selection; multiple self-attention mechanisms; phenotypic prediction
Construction of a genetic linkage map and QTL mapping of the agronomic traits in Foxtail millet (Setaria italica)

作者：Gao, Lulu;Zhu, Qianxue;Li, Huan;Wang, Shiyuan;Fan, Jiahui;Wang, Tianguo;Yang, Lejie;Zhao, Yuqin;Ma, Yixuan;Chen, Lu;Li, Xiaorui;Dong, Shuqi;Chu, Xiaoqian;Yuan, Xiangyang;Wang, Jiagang;Yang, Guanghui;Diao, Xianmin

关键词：Foxtail Millet; Genetic linkage map; QTL mapping; Agronomic traits; Candidate gene

Response of Multiple Tissues to Drought Revealed by a Weighted Gene Co-Expression Network Analysis in Foxtail Millet [Setaria italica (L.) P. Beauv.]

作者其他论文 更多>>

Identification and characterization of ClAPRR2, a key candidate gene controlling watermelon stripe color

Research on variety identification of common bean seeds based on hyperspectral and deep learning

Genome-Wide Identification and Functional Prediction of LRR-RLK Family Genes in Foxtail Millet (Setaria italica) in Response to Stress

An efficient target-mutant screening platform of model variety Ci846 facilitates genetic studies of Setaria

Research on identification of common bean seed vigor based on hyperspectral and deep learning

Cropformer: An interpretable deep learning framework for crop genomic prediction

Construction of a genetic linkage map and QTL mapping of the agronomic traits in Foxtail millet (Setaria italica)

作者其他论文更多>>