High-Definition Cytogenetic Mapping of modern sugarcane cultivars by Oligo-FISH
Year: 2025
Type: article
Abstract: Sugarcane ( Saccharum spp.), a dual-purpose crop valued for sugar and energy production, serves as an important industrial raw material and has substantial economic impact. However, its complex polyploid genome, characterized by highly variable chromosomal composition due to interspecific hybridization between S. officinarum and S. spontaneum , renders the detection of chromosomal rearrangements elusive. Here, we investigated the genome architecture of sugarcane cultivars using fluorescence in situ hybridization (FISH) with chromosome-specific painting probes ( S. officinarum ) and repetitive sequence probes ( S. spontaneum ). High-resolution karyotyping revealed extensive variation in chromosome numbers and structures of sugarcane. Analysis revealed lineage-specific chromosomal rearrangements, including high-frequency translocations exclusively associated with S. spontaneum genomic backgrounds. Molecular cytogenetic maps achieved single-chromosome resolution, enabling precise tracking of translocation fragments. Notably, chromosome-specific polymorphism patterns were uncovered, with chromosomes 4 and 10 exhibiting elevated susceptibility to rearrangements. These findings provide a well-characterized profile of the potential chromosomal rearrangements for each nonhomologous chromosome, and even homeologous chromosomes between S. officinarum and S. spontaneum . The established cytogenetic system will serve as a diagnostic toolkit for tracing chromosomal inheritance in sugarcane breeding programs, and lay a foundation for investigating the mechanistic basis of chromosome translocations.
Source: Industrial Crops and Products
Authors: Qilong Ling, Junpeng Yang, Yu Tang, Xiaoying Huang, Wei Yao, Zuhu Deng, Muqing Zhang, Fan Yu
Language: English
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: gold
Estimated APC paid: $3,720
Awards: G1192686794, G3506094581, G728214249
OpenAlex ID: W4416448449
