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Deciphering the Transcriptional Regulatory Network Governing Starch and Storage Protein Biosynthesis in Wheat for Breeding Improvement

Authors :
Long Zhao
Jinchao Chen
Zhaoheng Zhang
Wenying Wu
Xuelei Lin
Mingxiang Gao
Yiman Yang
Peng Zhao
Shengbao Xu
Changfeng Yang
Yingyin Yao
Aimin Zhang
Dongcheng Liu
Dongzhi Wang
Jun Xiao
Source :
Advanced Science, Vol 11, Iss 33, Pp n/a-n/a (2024)
Publication Year :
2024
Publisher :
Wiley, 2024.

Abstract

Abstract Starch and seed storage protein (SSP) composition profoundly impact wheat grain yield and quality. To unveil regulatory mechanisms governing their biosynthesis, transcriptome, and epigenome profiling is conducted across key endosperm developmental stages, revealing that chromatin accessibility, H3K27ac, and H3K27me3 collectively regulate SSP and starch genes with varying impact. Population transcriptome and phenotype analyses highlight accessible promoter regions’ crucial role as a genetic variation resource, influencing grain yield and quality in a core collection of wheat accessions. Integration of time‐serial RNA‐seq and ATAC‐seq enables the construction of a hierarchical transcriptional regulatory network governing starch and SSP biosynthesis, identifying 42 high‐confidence novel candidates. These candidates exhibit overlap with genetic regions associated with grain size and quality traits, and their functional significance is validated through expression‐phenotype association analysis among wheat accessions and loss‐of‐function mutants. Functional analysis of wheat abscisic acid insensitive 3‐A1 (TaABI3‐A1) with genome editing knock‐out lines demonstrates its role in promoting SSP accumulation while repressing starch biosynthesis through transcriptional regulation. Excellent TaABI3‐A1Hap1 with enhanced grain weight is selected during the breeding process in China, linked to altered expression levels. This study unveils key regulators, advancing understanding of SSP and starch biosynthesis regulation and contributing to breeding enhancement.

Details

Language :
English
ISSN :
21983844
Volume :
11
Issue :
33
Database :
Directory of Open Access Journals
Journal :
Advanced Science
Publication Type :
Academic Journal
Accession number :
edsdoj.7bfb338f9d44ea0ba111efe5bee56f4
Document Type :
article
Full Text :
https://doi.org/10.1002/advs.202401383