Unveiling Photoperiod-Responsive Regulatory Networks in Tropical Maize Through Transcriptome Analysis
Tianhui Zheng1, Jinge Bo1, Jing Wang1
1College of Agronomy, Henan Agricultural University, Zhengzhou 450002, China.
Genes
|February 26, 2025
Summary
Researchers uncovered key molecular networks controlling photoperiod sensitivity in tropical maize (Zea mays L.). This study provides a foundation for improving maize adaptability to different climates through genetic enhancement.
Area of Science:
- Plant Molecular Biology
- Genetics and Genomics
- Crop Science
Background:
- Maize (Zea mays L.) adaptability relies on genetic variation, but tropical varieties show photoperiod sensitivity, limiting temperate adaptation.
- The molecular mechanisms of photoperiod sensitivity in maize, impacting flowering time and agronomic traits, are not fully understood.
Purpose of the Study:
- To elucidate transcriptional regulatory networks governing photoperiod responses in tropical maize inbred line Su65.
- To provide insights for enhancing photoperiod adaptability in maize.
Main Methods:
- RNA-sequencing (RNA-seq) to identify photoperiod-responsive genes and pathways in tropical maize under varying photoperiods.
- Differential expression analysis, functional enrichment, and protein-protein interaction (PPI) network construction.
- Quantitative real-time PCR (qRT-PCR) for validating gene expression patterns and temporal profiling.
Main Results:
- Identified 1728 differentially expressed genes (DEGs), enriched in stress response, redox homeostasis, and secondary metabolite pathways.
- Discovered novel key hub genes (e.g., Zm00001d048531, Zm00001d018821) via PPI network analysis.
- Temporal expression profiling of key circadian rhythm genes (ZmPHYB1, ZmPHYC1, ZmFKF2, ZmGI2, ZmPRR37a) revealed distinct regulatory patterns influencing flowering time.
Conclusions:
- Uncovered critical molecular networks underlying photoperiod sensitivity in tropical maize.
- Provided a foundation for genetic improvement to enhance maize photoperiod adaptability.
- Integrated RNA-seq and qRT-PCR data to offer valuable insights into transcriptional dynamics in photoperiod-regulated maize development.
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