Shi Xun

Mx. Shi Xun


Research Focus & Metrics

Academic Career Length

1Year (2026-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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24 September 2026 in Metabolites
Verified
Journal Article
Open access
PDF file
HLHongkun Li
Hongkun Li
SLShouling Li
Shouling Li
思普思维 普
思维 普
SXShi Xun
Shi Xun
MCMeng Chunlan
Meng Chunlan
MLminghua luo
minghua luo
Background: Light availability governs plant growth and metabolism; however, the influence of shade intensity on metabolic allocation between leaves and corms in konjac (Amorphophallus konjac) remains unclear. Methods: Untargeted liquid chromatography-tandem mass spectrometry (LC–MS/MS) metabolomics was employed to profile metabolic responses in both tissues under three shading regimes (0%, 50%, and 75%). Results: A total of 1684 annotated metabolites were identified. Shading induced more pronounced changes in leaves (624 differentially accumulated metabolites) than in corms (227). These metabolites participated in oxylipin/jasmonate, lipid, flavonoid, amino acid, and organic acid metabolism. Linoleic acid metabolism was enriched in both tissues, whereas carbon/organic acid metabolism was more prominent in corms, and amino acid/flavonoid metabolism in leaves. Metabolites associated with oxylipins/jasmonates and lysophospholipids peaked at 50% shading, while flavonoids were more abundant under full light (0% shading). Among the three levels, 50% shading elicited the most significant metabolic response. Venn analysis identified 526 leaf-specific, 129 corm-specific, and 98 shared metabolites. Conclusions: This study establishes a metabolic framework for understanding shade responses in konjac and identifies candidate metabolites and pathways for future research on light-regulated growth and development.