New gene-mapping tools untangle sugarcane's wildly complicated genetic code
Wang T, Zhang Q, Xu Q, Zhao H, Li Z
Crop Improvement
The sugar in your kitchen and the ethanol in some biofuel blends both trace back to a plant so genetically tangled that breeders have been working half-blind, and untangling it now could mean sweeter, hardier crops down the line.
Sugarcane is a genetic mess: modern varieties come from crossing a high-sugar plant with a tough wild relative, then generations of further crossbreeding, leaving behind a scrambled genome with way more chromosome copies than usual and pieces borrowed from multiple ancestors. Scientists have struggled for decades to even sort out which wild sugarcane relatives are which species, let alone breed better ones. New long-read DNA sequencing tools are finally letting researchers read through this complexity, opening the door to smarter, faster breeding for sugar and biofuel crops.
Key Findings
Modern sugarcane arose from interspecific hybridization between high-sucrose Saccharum officinarum and stress-resilient wild Saccharum spontaneum, followed by extensive backcrossing.
The resulting genome shows high ploidy, pervasive aneuploidy, mosaic subgenome composition, and a reticulate evolutionary history that has long complicated genetic analysis.
Third-generation long-read sequencing and haplotype-resolved, polyploid-aware assembly methods are now overcoming diploid-centric analytical bias and enabling genome-informed breeding strategies.
chevron_right Technical Summary
Scientists are finally cracking open sugarcane's incredibly messy genetic code, using new DNA-reading technology to untangle a genome so complex it's held back sugar and biofuel breeding for decades.
Abstract Preview
Original paper
Recent advances in the genomics of sugarcane (Saccharum).
Sugarcane (Saccharum spp.) is a globally important C4 crop that contributes substantially to sugar production and renewable bioenergy systems. Modern sugarcane cultivars were derived from interspec...
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