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Related Experiment Video

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Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics
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Gene Co-Expression Networks Highlight Key Nodes Associated With Ammonium Nitrate in Sugarcane.

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|October 31, 2025
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Summary

This study reveals key molecular mechanisms for nitrogen use efficiency (NUE) in sugarcane by analyzing gene expression in responsive and non-responsive varieties. Findings highlight genotype-specific pathways and MYB transcription factors as targets for improving NUE in crops.

Keywords:
MYB transcription factorsgene co‐expression networknitrogen use efficiency (NUE)sugarcanetranscriptomics

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Area of Science:

  • Plant molecular biology
  • Agricultural science
  • Genomics

Background:

  • Nitrogen use efficiency (NUE) is crucial for sustainable agriculture.
  • Sugarcane's complex genetics and polyploidy present challenges in understanding NUE.
  • Genotype-specific responses to nitrogen availability are not fully understood.

Purpose of the Study:

  • To investigate the molecular mechanisms of nitrogen use efficiency (NUE) in sugarcane.
  • To identify genotype-specific gene expression patterns and regulatory networks related to nitrogen response.
  • To uncover candidate genes and pathways for improving NUE in sugarcane breeding.

Main Methods:

  • RNA sequencing (RNA-seq) of sugarcane leaf segments from two genotypes under varying nitrogen conditions.
  • Gene co-expression network analysis to identify regulatory modules.
  • Differential gene expression (DEG) analysis and metabolic correlation.

Main Results:

  • Identified genotype-specific transcriptomic profiles and regulatory modules linked to NUE.
  • Discovered Module 20, enriched in MYB transcription factors, as a central regulator of nitrogen response.
  • Correlated key metabolic markers (e.g., RUBISCO, PEPCASE) with specific gene modules and identified novel candidate genes.

Conclusions:

  • MYB transcription factors and uncharacterized transcripts are potential targets for enhancing sugarcane NUE.
  • Network modules and metabolic correlations provide a systems-level understanding of nitrogen response in polyploid C4 crops.
  • Generated public datasets facilitate comparative studies for advancing sustainable agriculture.