A Natural Major Module Confers the Trade‐Off between Phenotypic Mean and Plasticity of Grain Chalkiness in Rice

A critical challenge in crop breeding is the trade-off between improving the mean of an important trait and maintaining its phenotypic plasticity. Grain chalkiness is a key cereal grain-quality trait highly susceptible to environments. However, the genetic and molecular mechanisms controlling the trade-off between phenotypic mean and plasticity of grain chalkiness remain unknown. Here, utilizing comprehensive genome-wide association studies on ten grain chalkiness traits over five years in a mini-core collection, substantial phenotypic plasticity of grain chanlkiness is found, which declines during modern breeding. A general trade-off between phenotypic mean and plasticity of grain chalkiness is demonstrated, which are controlled by distinct genetic architectures revealed through a detailed QTL atlas. High temperature and wide grain significantly increase grain chalkiness mean but decrease its plasticity and genetic dissection, representing two major external drivers for the trade-off. Two key quantitative trait genes MPC5 and GCP6 are identified to control this trade-off. The transcription factor GCP6 biochemically and genetically inhibits MPC5 expression, forming a key module that confers the mean-plasticity trade-off of both grain chalkiness and width. Finally, minimal marker sets for molecular breeding accounted for two thirds of grain chalkiness variation. These findings elucidate the genetic architecture of the mean-plasticity trade-off in grain chalkiness and offer a proof-of-concept breeding strategy to simultaneously optimize both phenotypic mean and plasticity in crop improvement.

Authors

Institutions

Publication Details

Journal
Advanced Science
Published
2025-08-22
DOI
https://doi.org/10.1002/advs.202506242
Citations
3
Primary Topic
Rice Cultivation and Yield Improvement
Type
article
Field-Weighted Citation Impact
5.25

Funders

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

A Natural Major Module Confers the Trade‐Off between Phenotypic Mean and Plasticity of Grain Chalkiness in Rice

Xinyuan Chang, Yu Du, Pengkun Xu, Bo Cheng et al.
3 citations
Advanced Science
Rice Cultivation and Yield Improvement
5.25
article

A Natural Major Module Confers the Trade‐Off between Phenotypic Mean and Plasticity of Grain Chalkiness in Rice

Xinyuan Chang, Yu Du, Pengkun Xu, Bo Cheng, Zhi Li, Yicheng Li, Li Zhong, Yawei Fan, Juncheng Zhang, Zhu Wenran
article en
3 citations

Abstract

A critical challenge in crop breeding is the trade-off between improving the mean of an important trait and maintaining its phenotypic plasticity. Grain chalkiness is a key cereal grain-quality trait highly susceptible to environments. However, the genetic and molecular mechanisms controlling the trade-off between phenotypic mean and plasticity of grain chalkiness remain unknown. Here, utilizing comprehensive genome-wide association studies on ten grain chalkiness traits over five years in a mini-core collection, substantial phenotypic plasticity of grain chanlkiness is found, which declines during modern breeding. A general trade-off between phenotypic mean and plasticity of grain chalkiness is demonstrated, which are controlled by distinct genetic architectures revealed through a detailed QTL atlas. High temperature and wide grain significantly increase grain chalkiness mean but decrease its plasticity and genetic dissection, representing two major external drivers for the trade-off. Two key quantitative trait genes MPC5 and GCP6 are identified to control this trade-off. The transcription factor GCP6 biochemically and genetically inhibits MPC5 expression, forming a key module that confers the mean-plasticity trade-off of both grain chalkiness and width. Finally, minimal marker sets for molecular breeding accounted for two thirds of grain chalkiness variation. These findings elucidate the genetic architecture of the mean-plasticity trade-off in grain chalkiness and offer a proof-of-concept breeding strategy to simultaneously optimize both phenotypic mean and plasticity in crop improvement.

Advanced ScienceVol. 12(42)
Hangzhou Normal University (CN), Huazhong Agricultural University (CN), Shanghai Zhangjiang Laboratory (CN)
National Natural Science Foundation of China, National Science and Technology Major Project, Earmarked Fund for China Agriculture Research System, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities, Institute of Genetics
Openalex Percentile: Top 5%
Rice Cultivation and Yield Improvement
5.25
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.