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Multiomic investigation of Sugarcane mosaic virus resistance in sugarcane

The Crop Journal 2023年第6期11卷 1805-1815页

作者： Ricardo JoséGonzaga Pimenta Alexandre Hild Aono roberto carlos villavicencio burbano Marcel Fernando da Silva Ivan Antônio dos Anjos Marcos Guimarães de Andrade Landell Marcos Cesar Gonçalves Luciana Rossini Pinto Anete Pereira de Souza Centre for Molecular Biology and Genetic Engineering University of CampinasCampinasBrazil Gustavo Galindo Velasco Campus Littoral Polytechnic Superior SchoolGuayaquilEcuador Advanced Centre for Technological Research in Sugarcane Agribusiness Agronomic Institute of CampinasRibeirão PretoBrazil Plant Protection Research Centre Biological InstituteSão PauloBrazil Department of Plant Biology Institute of BiologyUniversity of CampinasCampinasBrazil

Sugarcane mosaic virus(SCMV)is the main etiological agent of sugarcane mosaic disease,which affects sugarcane and other grass *** the extensive characterization of quantitative trait loci controlling resistance to SCMV in maize,the genetic basis of this trait in sugarcane is largely ***,a genome-wide association study was performed and machine learning coupled with feature selection was used for genomic prediction of resistance to SCMV in a diverse sugarcane *** single-nucleotide polymorphisms(SNPs)explained up to 29.9%of the observed phenotypic variance and a 73-SNP set predicted resistance with high accuracy,precision,recall,and F1 scores(the harmonic mean of precision and recall).Both marker sets were validated in additional sugarcane genotypes,in which the SNPs explained up to 23.6%of the phenotypic variation and predicted resistance with a maximum accuracy of 69.1%.Synteny analyses suggested that the gene responsible for the majority of SCMV resistance in maize is absent in sugarcane,explaining why this major resistance source has not been identified in this ***,using sugarcane RNA-Seq data,markers associated with resistance to SCMV were annotated,and a gene coexpression network was constructed to identify the predicted biological processes involved in *** network allowed the identification of candidate resistance genes and confirmed the involvement of stress responses,photosynthesis,and the regulation of transcription and translation in resistance to *** results provide a practical marker-assisted breeding approach for sugarcane and identify target genes for future studies of SCMV resistance.

关键词： Saccharum SCMV GWAS Machine learning RNA-Seq

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