Postharvest Shading Modulates Saccharide Metabolic Flux and Enhances Soluble Sugar Accumulation in Tobacco Leaves During Curing: A Targeted Glycomics Perspective
Saccharides critically influence tobacco quality. To elucidate the effects of postharvest shading (PS) pre-curing on saccharide metabolic flux, a targeted glycomics analysis was conducted. Compared to light exposure (CK), PS delayed chlorophyll degradation during pre-curing but accelerated yellowing...
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| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-06-01
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| Series: | Agronomy |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4395/15/6/1375 |
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| Summary: | Saccharides critically influence tobacco quality. To elucidate the effects of postharvest shading (PS) pre-curing on saccharide metabolic flux, a targeted glycomics analysis was conducted. Compared to light exposure (CK), PS delayed chlorophyll degradation during pre-curing but accelerated yellowing, ultimately resulting in similar pigment levels. Additionally, PS inhibited photosynthesis, leading to reduced starch content and increased soluble sugar content before curing. Furthermore, PS altered the starch-to-sugar conversion, ultimately resulting in significantly higher soluble sugar content and lower starch content. Targeted glycomics analysis identified 21 saccharides, with glucose, D-fructose, and sucrose being dominant. Notably, PS ultimately increased glucose, D-fructose, and sucrose levels by 74.09%, 66.49%, and 17.36%, respectively. Pairwise comparisons revealed 6, 12, 5, 13, 10, and 11 differentially expressed metabolites before curing and at 38, 40, 42, 54, and 68 °C during curing, respectively, between PS and CK. Conjoint analysis identified methylgalactoside and three oligosaccharides (sucrose, raffinose, and maltose) as the central metabolites of saccharide metabolism during curing. D-mannose, D-sorbitol, and D-glucuronic acid were identified as biomarkers for assessing storage-induced metabolic perturbations using random forest algorithms. Collectively, these findings suggest that PS might enhance tobacco quality via carbohydrate metabolism modulation, providing a scientific basis for pre-curing protocol optimization and industrial application. |
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| ISSN: | 2073-4395 |