The Landscapes of Gluten Regulatory Network in Elite Wheat Cultivars Contrasting in Gluten Strength

Author:

Liu Jiajun1,Li Dongsheng1,Zhu Peng2,Qiu Shi3,Yao Kebing1,Zhuang Yiqing4,Chen Chen1,Liu Guanqing2ORCID,Wen Mingxing1,Guo Rui1,Yao Weicheng1,Deng Yao1,Shen Xueyi1,Li Tao2ORCID

Affiliation:

1. Zhenjiang Academy of Agricultural Sciences, Jiangsu Academy of Agricultural Sciences, Jurong 212400, China

2. Key Laboratory of Plant Functional Genomics of the Ministry of Education/Jiangsu Key Laboratory of Crop Genomics and Molecular Breeding/Collaborative Innovation of Modern Crops and Food Crops in Jiangsu/Jiangsu Key Laboratory of Crop Genetics and Physiology, College of Agriculture, Yangzhou University, Yangzhou 225009, China

3. Excellence and Innovation Center, Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China

4. Testing Center, Jiangsu Academy of Agricultural Science, Nanjing 210014, China

Abstract

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.

Funder

Youth Fund Project of Zhenjiang Academy of Agricultural Sciences

Key Research and Development Plan of Zhenjiang--Modern Agriculture

Special Fund for Independent Innovation of Agricultural Science and Technology in Jiangsu, China

Publisher

MDPI AG

Subject

Inorganic Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Computer Science Applications,Spectroscopy,Molecular Biology,General Medicine,Catalysis

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