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<p>Rosa species hold considerable economic and medicinal importance, used in traditional medicine, essential oils, and landscaping. However, the mechanisms of floral scent formation in roses are not well understood, hindering genetic improvement. To bridge this gap, we conducted a combined transcriptome and metabolome analysis, identifying nine key fragrance compounds. Using Weighted Gene Co-expression Network Analysis (WGCNA), we linked 574 genes to these compounds. From these, we identified candidate genes through differential expression, functional annotations, and protein-protein interaction (PPI) networks. We predicted candidate genes, <i>NUDIX1</i>, <i>NUDIX2</i>, <i>GERD</i>, <i>AFS1</i>, <i>AFS2</i>, <i>CYP82G1</i>, <i>HMG1</i>, <i>NCED2</i>, <i>CCD7</i>, <i>PSY</i>, <i>ICMEL2</i>, <i>MAD1</i>, and <i>MAD2</i> that might terpenoid-related genes, as well as potential benzenoid/phenylpropanoid-related candidate genes, <i>DET2</i>, <i>DET3</i>, <i>ICS2</i>, <i>PAL1</i>, <i>UGT74B1</i>, <i>MYB330</i>, <i>GST</i>, <i>CAD1</i>, <i>HST</i>, <i>PCBER1</i>, <i>LAC15</i>, <i>CSE</i>, <i>PER25</i>, <i>PER47</i>, <i>PER63</i>, <i>FBA</i>, <i>LNK2</i>, <i>PRE1</i>, and <i>PRE6</i>. Additionally, three function-unknown genes, <i>LOC112167529</i>, <i>LOC112174760</i>, and <i>LOC112183447</i>, were predicted as candidate genes potentially involved in the formation of floral scent.</p>

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Unveiling the genetic basis of floral scent formation in roses using weighted gene co-expression and protein-protein interaction network analyses

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年7月1日

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  • Chan Xu,
  • Yuan Chen,
  • Qiaoli Xie,
  • Zongli Hu,
  • Hang Guo,
  • Guoping Chen,
  • Shibing Tian

摘要

Rosa species hold considerable economic and medicinal importance, used in traditional medicine, essential oils, and landscaping. However, the mechanisms of floral scent formation in roses are not well understood, hindering genetic improvement. To bridge this gap, we conducted a combined transcriptome and metabolome analysis, identifying nine key fragrance compounds. Using Weighted Gene Co-expression Network Analysis (WGCNA), we linked 574 genes to these compounds. From these, we identified candidate genes through differential expression, functional annotations, and protein-protein interaction (PPI) networks. We predicted candidate genes, NUDIX1, NUDIX2, GERD, AFS1, AFS2, CYP82G1, HMG1, NCED2, CCD7, PSY, ICMEL2, MAD1, and MAD2 that might terpenoid-related genes, as well as potential benzenoid/phenylpropanoid-related candidate genes, DET2, DET3, ICS2, PAL1, UGT74B1, MYB330, GST, CAD1, HST, PCBER1, LAC15, CSE, PER25, PER47, PER63, FBA, LNK2, PRE1, and PRE6. Additionally, three function-unknown genes, LOC112167529, LOC112174760, and LOC112183447, were predicted as candidate genes potentially involved in the formation of floral scent.