Shade‐induced transcriptional reprogramming and metabolic adaptation in contrasting soybean genotypes

Shade stress affects soybean yield in intercropping, but the molecular basis of cultivar-specific tolerance is unclear. We analyzed shade-tolerant (Guru) and sensitive (Heinong 53) soybeans under 30% and 70% shade using transcriptomic, physiological, and biochemical methods. Moderate shade (30%) initially promoted growth in Heinong 53, while 70% shade restricted growth in both. Guru maintained better physiology, with higher chlorophyll (2.8 vs. 2.1 mg/g), photosynthesis, and stable stomatal conductance. RNA-seq identified 2596-7841 differentially expressed genes (DEGs), with severe shade causing more changes. Down-regulated DEGs are linked to development and shade response; up-regulated DEGs are involved in metabolism, including glucosinolate biosynthesis and protein export. Core shade responses included 279 up- and 388 down-regulated DEGs across treatments. Shade tolerance involved metabolic reprogramming: Guru had higher sucrose content (30.2 vs. 13.8 mg/g) and sucrose synthase activity and increased nitrogen enzyme activity. Antioxidant enzymes showed cultivar-specific strategies, with Guru having higher peroxidase and lower oxidative stress markers. Gene-trait analysis linked 37 DEGs to photosynthesis and 28 to transpiration, indicating water use regulation. Key genes included calcium-dependent kinases and histone deacetylases. Overall, shade tolerance involves maintaining photosynthesis, metabolic shifts favoring carbs, and stress responses, guiding development of tolerant cultivars and understanding plant adaptation in intercropping systems.

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Publication Details

Journal
The Plant Genome
Published
2026-01-21
DOI
https://doi.org/10.1002/tpg2.70182
Primary Topic
Agronomic Practices and Intercropping Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Shade‐induced transcriptional reprogramming and metabolic adaptation in contrasting soybean genotypes

Sobhi F. Lamlom, Ahmed M. Abdelghany, Fengyi Zhang, Da Shi et al.
The Plant Genome
Agronomic Practices and Intercropping Systems
article

Shade‐induced transcriptional reprogramming and metabolic adaptation in contrasting soybean genotypes

Sobhi F. Lamlom, Ahmed M. Abdelghany, Fengyi Zhang, Da Shi, L. J. Qiu, Rongqiang Yuan, Jidao Du, Xinyue Zhang, Runnan Zhou, Xiao Zhu, Honglei Ren
article en

Abstract

Shade stress affects soybean yield in intercropping, but the molecular basis of cultivar-specific tolerance is unclear. We analyzed shade-tolerant (Guru) and sensitive (Heinong 53) soybeans under 30% and 70% shade using transcriptomic, physiological, and biochemical methods. Moderate shade (30%) initially promoted growth in Heinong 53, while 70% shade restricted growth in both. Guru maintained better physiology, with higher chlorophyll (2.8 vs. 2.1 mg/g), photosynthesis, and stable stomatal conductance. RNA-seq identified 2596-7841 differentially expressed genes (DEGs), with severe shade causing more changes. Down-regulated DEGs are linked to development and shade response; up-regulated DEGs are involved in metabolism, including glucosinolate biosynthesis and protein export. Core shade responses included 279 up- and 388 down-regulated DEGs across treatments. Shade tolerance involved metabolic reprogramming: Guru had higher sucrose content (30.2 vs. 13.8 mg/g) and sucrose synthase activity and increased nitrogen enzyme activity. Antioxidant enzymes showed cultivar-specific strategies, with Guru having higher peroxidase and lower oxidative stress markers. Gene-trait analysis linked 37 DEGs to photosynthesis and 28 to transpiration, indicating water use regulation. Key genes included calcium-dependent kinases and histone deacetylases. Overall, shade tolerance involves maintaining photosynthesis, metabolic shifts favoring carbs, and stress responses, guiding development of tolerant cultivars and understanding plant adaptation in intercropping systems.

The Plant GenomeVol. 19(1)
Damanhour University (EG), North West Agriculture and Forestry University (CN), Heilongjiang Academy of Sciences (CN), Ministry of Agriculture (EE), Heilongjiang Provincial Academy of Agricultural Sciences (CN), Institute of Crop Sciences (CN), Alexandria University (EG)
Natural Science Foundation of Heilongjiang Province, National Science and Technology Major Project
Clean water and sanitation
Openalex Percentile: Top 79%
Agronomic Practices and Intercropping Systems
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