Genome-wide analysis of Q binding reveals a regulatory network that coordinates wheat grain yield and grain protein content

Wheat is an important cereal crop used to produce diverse and popular food worldwide because of its high grain yield (GY) and grain protein content (GPC). However, GY and GPC are usually negatively correlated. We previously reported that favorable alleles of the wheat domestication gene Q can synchronously increase GY and GPC, but the underlying mechanisms remain largely unknown. In this study, we investigate the regulatory network involving Q associated with GY and GPC in young grains through DNA affinity purification sequencing and transcriptome sequencing analyses, electrophoretic mobility shift and dual-luciferase assays, and transgenic approaches. Three Q-binding motifs, namely TTAAGG, AAACA[A/T]A, and GTAC[T/G]A, are identified. Notably, genes related to photosynthesis or carbon and nitrogen metabolism are enriched and regulated by Q. Moreover, Q is revealed to bind directly to its own gene and the glutamine synthetase gene GSr-4D to increase expression, thereby influencing nitrogen assimilation during the grain filling stage and increasing GPC. Considered together, our findings provide molecular evidence of the positive regulatory effects of Q on wheat GY and GPC.

Authors

Institutions

Publication Details

Journal
Journal of genetics and genomics/Journal of Genetics and Genomics
Published
2025-03-01
DOI
https://doi.org/10.1016/j.jgg.2025.02.011
Citations
6
Primary Topic
Wheat and Barley Genetics and Pathology
Type
article
Field-Weighted Citation Impact
10.50

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Genome-wide analysis of Q binding reveals a regulatory network that coordinates wheat grain yield and grain protein content

Qingcheng Li, Pengfei Qi, Yue Li, Jie Tang et al.
6 citations
Journal of genetics and genomics/Journal of Genetics and Genomics
Wheat and Barley Genetics and Pathology
10.50
article

Genome-wide analysis of Q binding reveals a regulatory network that coordinates wheat grain yield and grain protein content

Qingcheng Li, Pengfei Qi, Yue Li, Jie Tang, Qing Chen, Zhongxu Chen, Yan Wang, Zhenru Guo, Jing Zhu, Yazhou Zhang, Rui Tang, Qiang Xu, Yunfeng Jiang, Jirui Wang, Li Kong, Ziyi Zhang, Caihong Liu, Mi Zhang, Lei Lü, Mei Deng, Yuming Wei, Guoyue Chen, Yang Li, Qiantao Jiang, Youliang Zheng, Shijing Peng
article en
6 citations

Abstract

Wheat is an important cereal crop used to produce diverse and popular food worldwide because of its high grain yield (GY) and grain protein content (GPC). However, GY and GPC are usually negatively correlated. We previously reported that favorable alleles of the wheat domestication gene Q can synchronously increase GY and GPC, but the underlying mechanisms remain largely unknown. In this study, we investigate the regulatory network involving Q associated with GY and GPC in young grains through DNA affinity purification sequencing and transcriptome sequencing analyses, electrophoretic mobility shift and dual-luciferase assays, and transgenic approaches. Three Q-binding motifs, namely TTAAGG, AAACA[A/T]A, and GTAC[T/G]A, are identified. Notably, genes related to photosynthesis or carbon and nitrogen metabolism are enriched and regulated by Q. Moreover, Q is revealed to bind directly to its own gene and the glutamine synthetase gene GSr-4D to increase expression, thereby influencing nitrogen assimilation during the grain filling stage and increasing GPC. Considered together, our findings provide molecular evidence of the positive regulatory effects of Q on wheat GY and GPC.

Journal of genetics and genomics/Journal of Genetics and GenomicsVol. 52(12)
Sichuan Agricultural University (CN)
National Natural Science Foundation of China, Department of Science and Technology of Sichuan Province, Sichuan Agricultural University, National Key Research and Development Program of China, National Key Research and Development Program of China Stem Cell and Translational Research
Zero hunger
Openalex Percentile: Top 2%
Wheat and Barley Genetics and Pathology
10.50
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.