TY - JOUR T1 - Comparative transcriptome profiling conferring of resistance to <em>Fusarium oxysporum</em> infection between resistant and susceptible tomato JF - bioRxiv DO - 10.1101/116988 SP - 116988 AU - Min Zhao AU - Hui-Min Ji AU - Yin Gao AU - Xin-Xin Cao AU - Hui-Yin Mao AU - Peng Liu AU - Shou-Qiang Ouyang Y1 - 2017/01/01 UR - http://biorxiv.org/content/early/2017/03/15/116988.abstract N2 - Tomato Fusarium wilt caused by Fusarium oxysporum f. sp. lycopersici (FOL) is a destructive disease of tomato worldwide which causes severe yield loss of the crops. As exploring gene expression and function approaches constitute an initial point for investigating pathogen-host interaction, we performed a transcriptional analysis to unravel regulated genes in tomato infected by FOL. Differentially expressed genes (DEG) upon inoculation with FOL were presented at twenty-four hours post-inoculation including four treatments: Moneymaker_H2O, Moneymaker_FOL, Motelle_H2O and Motelle_FOL. A total of more than 182.6 million high quality clean reads from the four libraries were obtained. A large overlap was found in DEGs between susceptible tomato cultivar Moneymaker and resistant tomato cultivar Motelle. All Gene Ontology terms were mainly classified into catalytic activity, metabolic process and binding. However, Gene Ontology enrichment analysis evidenced specific categories in infected Motelle. Statistics of pathway enrichment of DEGs resulted that the taurine and hypotaurine metabolism, the stibenoid, diarylheptanoid and gingerol biosynthesis, the starch and sucrose metabolism were the top three pathway affected in both groups. Interestingly, plant-pathogen pathway was greatly regulated in Motelle treated with FOL. Combining with qRT-PCR facilitated the identification of regulated pathogenicity associated genes upon infected resistant or susceptible tomato. Our data showed that a coordinated machinery played a critical role in prompting the response, which could help in generating models of mediated resistance responses with assessment of genomic gene expression patterns. ER -