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Updated: Jun 26, 2026

Breeding by Design for Functional Rice with Genome Editing Technologies
Published on: January 3, 2025
Expression diversity and evolutionary dynamics of rice duplicate genes
Won Cheol Yim1, Byung-Moo Lee, Cheol Seong Jang
1Department of Plant Biotechnology, Dongguk University, Seoul, 100-715, South Korea.
Rice duplicate genes, formed by ancient polyploidization, show significant expression divergence, especially in metabolism. This supports evolutionary models of gene retention and functional innovation.
Area of Science:
- Genomics
- Evolutionary Biology
- Plant Science
Background:
- Duplicate genes are a primary driver of novel gene functions over evolutionary timescales.
- Gene duplication in rice, largely from paleopolyploidization before Poaceae family speciation, is crucial for understanding its evolutionary trajectory.
Purpose of the Study:
- To investigate the evolutionary dynamics and expression divergence of rice duplicate genes.
- To assess the impact of gene duplication on functional innovation and retention in rice.
Main Methods:
- Utilized a public microarray dataset comprising 155 Gene Expression Omnibus sample plates.
- Employed bioinformatics tools to analyze gene expression patterns and evolutionary metrics of rice duplicate genes.
Main Results:
- Over 57% of old (70 MYA) and 50% of young (7.7 MYA) duplicate gene pairs exhibited expression divergence.
- Metabolism-associated duplicate genes showed significant enrichment for divergence compared to non-divergent pairs.
- Conserved motif numbers declined with increasing expression diversity, supporting subfunctionalization with regulatory motif degeneration.
Conclusions:
- Rice duplicate genes display substantial expression divergence, contributing to functional innovation and retention.
- Evidence suggests subfunctionalization and regulatory motif degeneration play roles in the evolution of duplicate genes.
- High local similarity segments in duplicate genes correlate with higher expression correlation, potentially influencing gene conversion in regulatory regions.
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