Abstract:
DNA microarray databases are widely used tool to predict and identify functional genomics and
gene expression. This plant genomic recourse can solve various biological questions related to
biotic and abiotic stresses at molecular as well as cellular levels. Under stress conditions, various
types of proteins and DNA sequences play important role in plant to withstand the adverse
conditions. These elements can be transcription factors, regulatory genes and enzymes which
independently or in connection with each other attain this task. The present study was conducted
to identify these DNA sequences through microarray datasets and find out the connection
between their products, and to produce a network in model plant Arabidopsis thaliana. Four
microarray datasets responding to abiotic stresses, like, heat, cold, drought and abscisic acid
were considered here. Preliminary study started with ArrayExpress which gave four groups of
DNA sequences for each stress signals. To figure out the common physiological characters
between these thousands of genes, 42 common genes were found to be up-regulated during the
selected stresses. Among them, 30 found to be closely related. Further bioinformatics study and
also literature mining showed that of these 30, eight genes, like, DREB2A, P5CS1, ERD5,
CPL1, NHX1, SOS1, SOS2 and SOS3 are highly responsive to the above abiotic stresses. Later
their protein-protein networking, protein stability, conserved sequences, interactive domain and
individual interectome with other genes were studied. This was done using different web based
datasoft, namely, String database, GeneMania, Gene Ontology and InterProScan. The study
revealed that these eight genes not only get up-regulated but also they create a connection to each
other and produce a tolerance hub. In the present study, the identified genes imply a concurrent
defensive role against these abiotic stresses. In future, study needs to be undertaken to validate
these findings under in vivo condition so that the knowledge can be applied in agriculture to
improve crop protection and production under variable climatic conditions.
