In-silico Analysis of Drought-Related DREB Gene in Tomato (Solanum lycopersicum L.) Mishra Priyamvada1, Kapoor Neelesh1,*, Vaishali1, Dixit Rekha2, Sengar Rakesh Singh1, Sirohi Anil1 1Division of Plant Biotechnology, College of Biotechnology, Sardar Vallabhbhai Patel University of Agriculture and Technology, Meerut (Uttar Pradesh), India 2Division of Microbial Genetics and Environmental BiotechnologyCollege of Biotechnology, Sardar Vallabhbhai Patel University of Agriculture and Technology, Meerut (Uttar Pradesh), India *Corresponding Author: sengerbiotech7@gmail.com
Online Published on 12 September, 2023. Abstract Abiotic stresses have a negative impact on tomato growth, yield, and quality. Abiotic parameters like drought, high temperatures, and excessive salt have an influence tomato life cycle. Abiotic stress affects yield by around 70%. The genes for stress resistance are present in a number of wild tomato species, but due to large genetic distance and other obstacles, it is very challenging to transfer these genes into cultivars. One of the most ecologically friendly approaches to the productive production of tomatoes is the development of cultivars with enhanced abiotic stress tolerance. In this area, research is being done to comprehend how genes are identified, how genetic and environmental variables interact, and how stress tolerance works. For tomato, a number of omics techniques, instruments, and resources have previously been created. Significant progress has been made due to improvements in sequencing technology; scientists can now examine tomato genomes and transcriptomics. Transcription factors are proteins belonging to the Dehydration-responsive element-binding protein (DREB) family have been associated with abiotic stress responses in plants. A particular class of plant-specific transcription factor called DREB (dehydration-responsive element-binding protein) may selectively bind to DRE/CRT components in response to abiotic stresses like lack of moisture and low temperature. Various in-silico tools are used to characterize DREB gene, its protein structure prediction and phylogenetic analysis. Top Keywords Tomato, DREB, In-silico analysis, Phylogenetic, Abiotic stresses. Top |