Systems-level proteomic models of cotton fiber development: a high-resolution data resource to analyze cell dynamics...

Area of Science:

• Plant Biology
• Molecular Biology
• Biotechnology

Background:

• Cotton fiber development is crucial for a major global industry.
• Understanding cellular controls in seed coat trichoblasts is key for trait engineering.
• Mechanistic knowledge of cotton fiber systems-level cellular controls is limited.

Purpose of the Study:

• To integrate time-series transcriptomic and proteomic data with phenotyping for cotton fiber development.
• To provide a comprehensive resource on homoeolog activity and cellular system changes.
• To identify gene expression drivers for cotton fiber research and trait engineering.

Main Methods:

• Daily measurements of purified fiber transcriptomes and proteomes.
• Multiscale fiber phenotyping across the developmental interval.
• Analysis of subcellular proteome abundance profiles and integration of mRNA/protein data.

Main Results:

• Detailed profiles of homoeolog activity and compartmentalized cellular system changes.
• Validation of protein expression groups correlating with cell wall transitions and cellulose content.
• Identification of widespread post-transcriptional control and hundreds of transcriptionally controlled genes.

Conclusions:

• The integrated dataset serves as a hypothesis-generating tool for cell wall remodeling and morphogenesis.
• Widespread post-transcriptional and transcriptional controls orchestrate cotton fiber development.
• User-friendly data tables and a web interface facilitate future cotton fiber research.