The Landscapes of Gluten Regulatory Network in Elite Wheat Cultivars Contrasting in Gluten Strength
文献类型： 外文期刊
作者： Liu, Jiajun 1 ; Li, Dongsheng 1 ; Zhu, Peng 2 ; Qiu, Shi 3 ; Yao, Kebing 1 ; Zhuang, Yiqing 4 ; Chen, Chen 1 ; Liu, Guanqing 2 ; Wen, Mingxing 1 ; Guo, Rui 1 ; Yao, Weicheng 1 ; Deng, Yao 1 ; Shen, Xueyi 1 ; Li, Tao 2 ;
作者机构： 1.Zhenjiang Acad Agr Sci, Jiangsu Acad Agr Sci, Jurong 212400, Peoples R China
2.Yangzhou Univ, Jiangsu Key Lab Crop Genom & Mol Breeding Collabor, Coll Agr,Jiangsu Key Lab Crop Genet & Physiol, Key Lab Plant Funct Genom,Minist Educ, Yangzhou 225009, Peoples R China
3.Jiangsu Acad Agr Sci, Excellence & Innovat Ctr, Nanjing 210014, Peoples R China
4.Jiangsu Acad Agr Sci, Testing Ctr, Nanjing 210014, Peoples R China
关键词： wheat; grain quality; full-length sequencing; weighted gene coexpression network analysis (WGCNA); multiscale embedded gene coexpression network analysis (MEGENA); gene set enrichment analysis (GSEA)
期刊名称：INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES （ 影响因子：5.6； 五年影响因子：6.2 ）
ISSN： 1661-6596
年卷期： 2023 年 24 卷 11 期
页码：
收录情况： SCI
摘要： Yangmai-13 (YM13) is a wheat cultivar with weak gluten fractions. In contrast, Zhenmai-168 (ZM168) is an elite wheat cultivar known for its strong gluten fractions and has been widely used in a number of breeding programs. However, the genetic mechanisms underlying the gluten signatures of ZM168 remain largely unclear. To address this, we combined RNA-seq and PacBio full-length sequencing technology to unveil the potential mechanisms of ZM168 grain quality. A total of 44,709 transcripts were identified in Y13N (YM13 treated with nitrogen) and 51,942 transcripts in Z168N (ZM168 treated with nitrogen), including 28,016 and 28,626 novel isoforms in Y13N and Z168N, respectively. Five hundred and eighty-four differential alternative splicing (AS) events and 491 long noncoding RNAs (lncRNAs) were discovered. Incorporating the sodium-dodecyl-sulfate (SDS) sedimentation volume (SSV) trait, both weighted gene coexpression network analysis (WGCNA) and multiscale embedded gene coexpression network analysis (MEGENA) were employed for network construction and prediction of key drivers. Fifteen new candidates have emerged in association with SSV, including 4 transcription factors (TFs) and 11 transcripts that partake in the post-translational modification pathway. The transcriptome atlas provides new perspectives on wheat grain quality and would be beneficial for developing promising strategies for breeding programs.
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