Transcriptomic analysis of maize leaves under different irrigation treatments in field conditions

文献类型： 外文期刊

第一作者： Li, Yuan-Xin

作者： Li, Yuan-Xin;Li, Ru-Zhi;Yang, Jing;Guo, Xin-Ping;Chu, Peng-Fei;Li, Ru-Zhi;Wang, Zhi-Wei;Jia, Kai-Hua;Li, Xiao-Guang;Yi, Hou-Zhen;Zhou, Hang

作者机构：

关键词： Maize (Zea mays L.); Irrigation management; Water stress response; Differentially expressed genes; RNA-seq

期刊名称：BMC GENOMIC DATA （ 影响因子：2.5； 五年影响因子：2.4 ）

ISSN：

年卷期： 2025 年 26 卷 1 期

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收录情况： SCI

摘要： ObjectivesAs one of the most widely cultivated agricultural crops in the world, maize (Zea mays L.) yield is often affected by water stress. In this study, we designed eight different irrigation levels in a field environment, covering a wide range of gradients, and conducted a comprehensive transcriptomic analysis of maize leaves under these eight treatments. The results revealed the molecular mechanisms by which maize responds to drought, optimal irrigation, and excessive irrigation in field conditions. This not only deepens our understanding of maize's response to water stress but also provides valuable genetic resources and theoretical insights for future genetic improvement.Data descriptionThis study designed eight different irrigation levels under field conditions and conducted comprehensive transcriptome sequencing of maize ear leaf tissues. Analysis of the transcriptome data identified differentially expressed genes (DEGs), and principal component analysis (PCA) revealed a clear separation trend among samples under varying water conditions. Furthermore, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses highlighted functional categories associated with water response, cellular metabolism, and growth regulation. These findings provide valuable insights into the molecular mechanisms of maize under drought, optimal irrigation, and over-irrigation conditions, laying a foundation for future genetic improvement efforts.

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