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Deciphering carbohydrate metabolism during wheat grain development via integrated transcriptome and proteome dynamics
Ayesha Tahir1,2, Jun Kang3, Frederic Choulet4
1Department of Biosciences, COMSATS University Islamabad, Islamabad, Pakistan. ayesha.tahir2007@gmail.com.
Molecular Biology Reports
|July 7, 2020
Summary
This study integrates wheat grain transcriptome and proteome data to understand carbohydrate metabolism. High concordance was observed for starch and sucrose biosynthesis enzymes, highlighting the power of omics data integration.
Area of Science:
- Plant Science
- Molecular Biology
- Biochemistry
Background:
- Individual OMICS tools are widely used for studying Triticum aestivum grain development.
- Integrated transcriptome and proteome studies are limited due to genomic complexity.
Purpose of the Study:
- To unravel transcriptome-proteome coordination in carbohydrate metabolism during wheat grain development.
- To compare differentially expressed proteins and transcripts across 11 developmental stages.
Main Methods:
- Wheat grains were dissected for transcriptomics and proteomics analyses.
- A computational workflow integrated LC-MS/MS peptide data with transcript sequences.
- Protein-transcript hits were identified and their expression profiles compared.
Main Results:
- Over 90% of peptide hits successfully identified corresponding transcripts.
- Overall concordance between protein and transcript expression profiles was 32%.
- Correlation increased significantly during grain development (152 to 655 °Cd) before dropping; starch and sucrose biosynthesis enzymes showed highest correlation.
Conclusions:
- Omics data integration is a powerful approach for understanding wheat grain development.
- The correlation between transcriptome and proteome is highly stage-dependent.
- Gene regulatory networks are crucial for deciphering complex traits like grain weight and yield.
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