Dynamic Proteomic Characteristics and Network Integration Revealing Key Proteins for Two Kernel Tissue Developments...

Area of Science:

• Plant Biology
• Proteomics
• Maize Genetics

Background:

• Maize kernel development is a complex process involving intricate protein expression and metabolic regulation.
• Understanding these molecular mechanisms is crucial for improving grain yield and quality.

Purpose of the Study:

• To comprehensively analyze the proteome of maize endosperm and pericarp during development.
• To identify key proteins and pathways involved in maize grain formation.
• To investigate the correlation between protein abundance and mRNA levels.

Main Methods:

• Quantitative proteomics using isobaric tags for relative and absolute quantification (iTRAQ) coupled with LC-MS/MS.
• Comparative proteomic analysis across developmental stages and between tissues.
• Bioinformatic analysis including protein network and pathway integration (KEGG).
• Validation using two-dimensional gel electrophoresis and Western blot.

Main Results:

• Identified 6,876 proteins, with 1,396 non-redundant proteins, revealing distinct expression patterns in endosperm and pericarp across developmental stages.
• Functional annotation highlighted the importance of metabolic, cellular, binding, and catalytic processes.
• Constructed protein networks revealed complex metabolic interactions within 54 KEGG pathways.
• Demonstrated variable concordance between mRNA and protein levels, but consistent protein expression trends via Western blot.

Conclusions:

• The study provides a detailed proteomic landscape of maize kernel development.
• Identified key proteins and pathways essential for endosperm and pericarp development.
• Offers valuable insights into the molecular basis of maize grain formation and potential targets for crop improvement.