PeanutOmics: A comprehensive platform with an integrative multi-omics atlas for peanut research

Area of Science:

• Plant Biology
• Genomics
• Biochemistry

Background:

• Peanut (Arachis hypogaea) is a vital legume crop with limited understanding of its gene expression dynamics.
• Existing knowledge gaps hinder efforts to improve peanut's productivity and resilience.

Purpose of the Study:

• To construct an integrated multi-omics atlas of peanut across various developmental stages.
• To identify key genes, proteins, and metabolites involved in peanut development and stress responses.
• To develop a user-friendly platform for accessing and analyzing peanut multi-omics data.

Main Methods:

• Integrated transcriptomic, proteomic, and metabolomic profiling across 22 peanut tissues.
• Functional gene analysis, co-expression network construction, and pathway enrichment analysis.
• Development of the PeanutOmics web platform for data visualization and analysis.

Main Results:

• Identification of 53,030 expressed genes, 12,826 proteins, and 2,035 metabolites, including novel proteins and microproteins.
• Discovery of key genes (e.g., WDR13, TANGO) involved in development and stress.
• Highlighting the roles of IAA and ARF gene families in hormone signaling and peg development.
• Development of the PeanutOmics platform (https://cgm.sjtu.edu.cn/PeanutOmics) for data accessibility.

Conclusions:

• The multi-omics atlas provides a foundational resource for understanding gene and metabolite regulation in peanut.
• The findings pave the way for advanced molecular breeding strategies to enhance peanut crop productivity.
• The PeanutOmics platform facilitates further research and discovery in peanut biology.