Synergistic Integration of Sugarcane Proteomics with Genomics: Proteogenomics to Decipher the Mechanism of Disease Resistance in Sugarcane

Abstract

AbstractDeciphering disease resistance in sugarcane is a challenge by virtue of its genomic complexities like autopolyploidy, heterozygosity, etc. In the past few decades, most of the researchers employed a gamut of genomic tools to elucidate the mechanism of disease resistance in sugarcane. However, because of various hurdles in decoding the whole genome information, the progress thus far made to delineate the mechanism of disease resistance is not encouraging even with the deployment of robust genomic tools like high throughput next-generation sequencing (NGS) technologies. In the meantime, the application of proteomics to understand sugarcane–pathogen interaction is progressing steadfast with robust gel-free platforms and advanced mass spectrometric approaches, but at a relatively slow pace compared to other monocots. With the evolving de novo protein sequencing approaches, precise identification and establishment of comparative quantitative proteome maps are becoming more expedient. Hence, there is a pertinent need for employing proteomics to add momentum, gain leverage, and bridge the gaps in sugarcane genomics wherever possible. Nevertheless, synergistic integration of proteomics with the ameliorating support from sugarcane genomics will provide an additional impetus to understand the mechanism of disease resistance in sugarcane.KeywordsSugarcaneProteomicsDisease resistanceGenome sequencingProteogenomics