Exploring crop genomes: assembly features, gene prediction accuracy, and implications for proteomics studies.

Area of Science:

• Plant genomics
• Bioinformatics
• Crop science

Background:

• Plant genomics is vital for food security and sustainable agriculture.
• Structural genome annotation faces challenges in crops due to size, polyploidy, and repetitive DNA.
• Advancements in sequencing necessitate robust annotation tools.

Purpose of the Study:

• To review the current state of crop genomics research.
• To assess the accuracy of gene prediction tools (BRAKER2, Helixer) in crop genomes.
• To evaluate the utility of predicted proteins for proteomics.

Main Methods:

• Comparative analysis of BRAKER2 and Helixer performance on diverse crop genomes.
• Investigation of factors influencing gene prediction accuracy (complexity, repeats, fragmentation).
• Assessment of predicted protein sets for mass spectrometry-based proteomics.

Main Results:

• BRAKER2 and Helixer show varying strengths and limitations in crop genome annotation.
• Genome complexity, fragmentation, and repeat content significantly affect annotation accuracy.
• Predicted proteins are suitable for proteomics, but annotation quality is critical.

Conclusions:

• Refined structural genome annotation is essential for advancing plant genomics.
• Understanding tool limitations is key for accurate crop genome analysis.
• This work informs future improvements in gene prediction and proteomics applications.