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Background <p>Sweet corn is a crop with global economic importance, yet it is highly susceptible to waterlogging stress. The molecular and metabolic mechanisms underlying its waterlogging response remain poorly understood.</p> Results <p>We used an integrated multi-omics approach to investigate the genetic and biochemical basis of waterlogging tolerance in a diverse panel of 185 super sweet corn inbred lines. Waterlogging reduced seedling growth by 21–35%, and transcriptomic analysis identified 295 DEGs, including downregulated nitrogen assimilation genes (e.g., <i>Zmgln2</i>) and upregulated stress-responsive transcription factors involved in calcium ion transport pathways. Metabolomic analysis identified 75 DAMs, particularly amino acids and other organic acids that are associated with anaerobic metabolism. GWAS pinpointed a pleiotropic locus, <i>Zmhpc1</i>, that regulates glycerol-related metabolism and associated agronomic traits.</p> Conclusions <p>Our findings provide novel insights into the adaptive responses to waterlogging stress and identify promising candidate genes for developing climate-resilient sweet corn varieties, offering practical applications for breeding waterlogging-tolerant sweet corn.</p>

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Unraveling the genetic mechanisms of waterlogging stress through the leaf metabolome of a sweet corn panel

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年11月4日

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  • Kun Li,
  • Yongtao Yu,
  • Hao Liu,
  • Shijuan Yan,
  • Wenguang Zhu,
  • Lihua Xie,
  • Wenjie Huang,
  • Wu Li,
  • Tianxiang Wen,
  • Jianguang Hu,
  • Gaoke Li,
  • Chunyan Li

摘要

Background

Sweet corn is a crop with global economic importance, yet it is highly susceptible to waterlogging stress. The molecular and metabolic mechanisms underlying its waterlogging response remain poorly understood.

Results

We used an integrated multi-omics approach to investigate the genetic and biochemical basis of waterlogging tolerance in a diverse panel of 185 super sweet corn inbred lines. Waterlogging reduced seedling growth by 21–35%, and transcriptomic analysis identified 295 DEGs, including downregulated nitrogen assimilation genes (e.g., Zmgln2) and upregulated stress-responsive transcription factors involved in calcium ion transport pathways. Metabolomic analysis identified 75 DAMs, particularly amino acids and other organic acids that are associated with anaerobic metabolism. GWAS pinpointed a pleiotropic locus, Zmhpc1, that regulates glycerol-related metabolism and associated agronomic traits.

Conclusions

Our findings provide novel insights into the adaptive responses to waterlogging stress and identify promising candidate genes for developing climate-resilient sweet corn varieties, offering practical applications for breeding waterlogging-tolerant sweet corn.