Abstract:
Climate change is one of the main issues of our time, and it is affecting the availability and stability of food. The most damaging abiotic stress for the ecosystem and the one that results in the greatest output loss is drought. In this study, a computational method was used to predict the genes in barley that are associated to the stress caused by drought. However, a number of ESTs from barley grown-up under the drought stress conditions have previously discovered and reported in NCBI, but they haven't yet been put to use in functional analyses. Although barley was once thought to be an abiotic stress-tolerant plant, drought stress causes its production to drop significantly. These ESTs were investigated in a study to identify the gene expression profile in barley during drought stress. Using ESTs, various software, tools, and servers were used to predict the genes that are responsive to drought. The Plant TFcat and blast2GO tools were used to predict transcription factors and enzymes, respectively. The Ensemble plant database helped identify novel genes, and the gene prediction software FGENESH predicted the structure. Phytozome and plantCARE databases were used to validate newly predicted novel candidate genes using promoter studies. By using the Ensemble plant genome database, new genes related to drought stress were discovered. There were only 37 locations in the barley genome that were candidate genes. According to the promoter analysis, twenty-nine genes have more than ten cis acting controlling elements that are related to drought stress in various plants. The goal of this research was to predict the drought responsive genes in barley that was achieved by using ESTs.
Page(s):
183-183
DOI:
DOI not available
Published:
Journal: Abstract Book on Second International Conference on Recent Approaches in Plant Sciences (RAPS-23) 4-5 May 2023 , Volume: 0, Issue: 0, Year: 2023
Keywords:
barley
,
Phytozome
,
GeneOrthologs
,
Arabidopsis
,
ESTs