In-silico analysis of marker genes from gene expression data of solanaceous plants responsible for various abiotic stresses
by Sanchita Gupta; Garima Singh; Swati Srivastava; Ashok Sharma
International Journal of Bioinformatics Research and Applications (IJBRA), Vol. 13, No. 4, 2017

Abstract: Understanding the responses of plant against any environmental condition requires the expression analysis of transcriptome data. The present work focused on identifying the group of genes of Solanum tuberosum, differentially expressed in different abiotic stresses. The public database has assessed for the gene expression data in response to cold, heat and salt stresses, respectively. Furthermore, the common genes considered as marker genes, responding to all three abiotic conditions were analysed. The gene ontology classification of the marker genes and their visualisation in metabolic pathway was also analysed. The genes responsible for kunitz-type protease inhibitor precursor were found to be up-regulated, whereas the genes encoding lipid transfer protein showed down-regulation. These marker genes may be studied for further validation to see their role in stress responses to the medicinally important plants of solanaceae family.

Online publication date: Sat, 14-Oct-2017

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