Fusarium species cause considerable crop losses worldwide and necessitate an expensive use of chemical pesticides. Resistant genes can be used to improve plant resistance through gene editing and gene silencing strategies. Currently, information on host defences against Fusarium species is limited. Through in-silico tools, identification of genes and understanding of disease resistance mechanism has become possible. In the present study, a comprehensive in-silico analysis of 65 Fusarium resistance genes belonging to 10 different species was carried out to understand the physiochemical properties, secondary and tertiary protein structures, protein binding sites, phylogenetic relationship, cisregulatory elements and protein motifs. Five genes on the basis of their stability have been selected for 3D structure prediction using Phyre2 server. | Molecular characterization and evolutionary analysis of potential fusarium resistant genes for crop improvement
