Plant Commun. 2025 Nov 22. pii: S2590-3462(25)00384-0. [Epub ahead of print] 101622
Hongzhang Xue,
Kunkun Zhao,
Xiaorui Dong,
Qian Ma,
SaSa Hu,
Zenghui Cao,
Yang Shu,
Yanzhe Li,
Xiaoxiang Huang,
Kai Zhao,
Ding Qiu,
Wenguang Shao,
Rui Ren,
Zhongfeng Li,
Fangping Gong,
Xingli Ma,
Chaochun Wei,
Dongmei Yin.
Peanut (Arachis hypogaea L.) is an economically important legume crops, yet a comprehensive understanding of its gene expression dynamics across developmental stages remains limited. To address this, we constructed a multi-omics atlas spanning transcriptomic, proteomic, and metabolomic profiles across 22 primary vegetative and reproductive tissues. We identified 53,030 expressed genes at the transcript level, 12,826 with protein evidence, and 2,035 metabolites. Among these, 2,147 genes encoded novel proteins and 274 produced microproteins. Functional analysis identified WDR13, TANGO, RPP13, DEF3, SLR1-BP, and SLE2 as key genes with roles in development and stress response. Co-expression analysis grouped genes into 24 modules, many showing tissue-specific expression. Pathway enrichment and correlation network analysis highlighted the critical roles of IAA and ARF gene families in hormone signaling and cell growth, particularly in peg development. To support data accessibility and downstream research, we developed PeanutOmics (https://cgm.sjtu.edu.cn/PeanutOmics), a user-friendly platform integrating multi-omics datasets with advanced analytical tools. This atlas offers a valuable resource for understanding gene and metabolite regulation in peanut and lays the groundwork for advanced molecular breeding and improved crop productivity.
Keywords: Database; Metabolomics; Multi-omics; Peanut; Proteomics; Transcriptomics