Integrating k-mer GWAS and time-series transcriptomics to dissect the genetic architecture and immune defense networks against pokkah boeng disease in polyploid sugarcane

Pokkah boeng disease (PBD), caused by Fusarium sacchari , is a devastating fungal disease that threatens global sugarcane production. Understanding the genetic basis of PBD resistance is crucial for molecular breeding under sugarcane’s complex autopolyploidy. Here, we evaluated an F 1 population of 201 individuals derived from a cross between ‘ROC22’ (resistant) and ‘Zhongzhe 1’ (susceptible). Based on multi-year field trials and artificial inoculations, we established a robust phenotypic evaluation system using Best Linear Unbiased Prediction (BLUP) values. A k-mer-based genome-wide association study (GWAS) identified 759 associated loci, highlighting 22 stable major-effect loci detected across multiple environments. Time-series RNA-seq analysis revealed the transcriptional dynamics of infection, pinpointing 48 h post-inoculation (hpi) as the critical time point for resistance-susceptibility divergence. By integrating physical mapping with temporal expression patterns, we identified four key candidate genes: the sensor DUF4220, the signaling switch Ras-family protein, the defense executioner DDE superfamily endonuclease, and the homeostasis regulator T-complex protein. This study outlines a four-dimensional (perception-transduction-execution-monitoring) immune framework, revealing the molecular mechanisms by which resistant genotypes construct multiple defense barriers through precise temporal coordination. The identified major-effect loci and core genes provide pivotal targets and a scientific foundation for marker-assisted and genomic selection in sugarcane disease-resistance breeding.

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Publication Details

Journal
BMC Plant Biology
Published
2026-08-26
DOI
https://doi.org/10.1186/s12870-026-09817-8
Primary Topic
Sugarcane Cultivation and Processing
Type
article
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article

Integrating k-mer GWAS and time-series transcriptomics to dissect the genetic architecture and immune defense networks against pokkah boeng disease in polyploid sugarcane

Wei Yao, Muqing Zhang, Yixue Bao, Sehrish Akbar et al.
BMC Plant Biology
Sugarcane Cultivation and Processing
article

Integrating k-mer GWAS and time-series transcriptomics to dissect the genetic architecture and immune defense networks against pokkah boeng disease in polyploid sugarcane

Wei Yao, Muqing Zhang, Yixue Bao, Sehrish Akbar, Zhou Yu, Chi Zhang, J. S. Xu, Jie Zheng, Qiuli Yu, Yibin Wei, Yuzhi Xu
article en

Abstract

Pokkah boeng disease (PBD), caused by Fusarium sacchari , is a devastating fungal disease that threatens global sugarcane production. Understanding the genetic basis of PBD resistance is crucial for molecular breeding under sugarcane’s complex autopolyploidy. Here, we evaluated an F 1 population of 201 individuals derived from a cross between ‘ROC22’ (resistant) and ‘Zhongzhe 1’ (susceptible). Based on multi-year field trials and artificial inoculations, we established a robust phenotypic evaluation system using Best Linear Unbiased Prediction (BLUP) values. A k-mer-based genome-wide association study (GWAS) identified 759 associated loci, highlighting 22 stable major-effect loci detected across multiple environments. Time-series RNA-seq analysis revealed the transcriptional dynamics of infection, pinpointing 48 h post-inoculation (hpi) as the critical time point for resistance-susceptibility divergence. By integrating physical mapping with temporal expression patterns, we identified four key candidate genes: the sensor DUF4220, the signaling switch Ras-family protein, the defense executioner DDE superfamily endonuclease, and the homeostasis regulator T-complex protein. This study outlines a four-dimensional (perception-transduction-execution-monitoring) immune framework, revealing the molecular mechanisms by which resistant genotypes construct multiple defense barriers through precise temporal coordination. The identified major-effect loci and core genes provide pivotal targets and a scientific foundation for marker-assisted and genomic selection in sugarcane disease-resistance breeding.

BMC Plant Biology
Guangxi University (CN), Cotton Research Institute (CN), Chinese Academy of Agricultural Sciences (CN), Sanya University (CN), Institute of Crop Sciences (CN)
Openalex Percentile: Top 11%
Sugarcane Cultivation and Processing
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