Functional genomics in sugarcane breeding: key challenges and strategies.
Shabbir R, Javed T, Sun SR, Wang ZQ, Zhang W
Crispr
Sugarcane supplies about 80% of the world's sugar and a growing share of renewable biofuel, so breakthroughs in how scientists improve it could affect everything from the price of groceries to how quickly we transition away from fossil fuels.
Sugarcane has one of the most tangled, complicated genetic blueprints of any crop plant—think of trying to edit one sentence in a book that has been photocopied and jumbled dozens of times over. Scientists have struggled for decades to precisely change its genes to make it grow better or resist disease. New tools like CRISPR, powerful computers, and a complete genetic map of sugarcane are now giving researchers a real shot at unlocking improvements that were previously out of reach.
Key Findings
The release of the 'R570' sugarcane reference genome has provided the first comprehensive map of the crop's genetic architecture, enabling more targeted research.
CRISPR-based gene editing systems (including newer variants like CRISPRa/i and Cas-RNPs) are being adapted to overcome the unique challenges posed by sugarcane's highly duplicated, polyploid genome.
Genome-wide association studies (GWAS) combined with genomic selection are accelerating breeding cycles by improving the prediction of desirable traits without waiting for full field trials.
chevron_right Technical Summary
Sugarcane's notoriously complex genome has long slowed efforts to breed better varieties, but a wave of new tools—including CRISPR gene editing, AI-assisted breeding, and a newly available reference genome—is finally making it possible to develop sugar and bioenergy crops that are more productive and sustainable.
Abstract Preview
Sugarcane, a leading source of sugar and bio-energy around the globe stands at the cross-road of genome complexity and agricultural innovation, offering the immense potential to fuel a sustainable ...
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