Chinese cabbage (Brassica rapa) is widely recognized for its economic importance and contribution to human nutrition but abiotic and biotic stresses are main obstacle for its quality, nutritional status and production. In this study, 3,429 Express Sequence Tag (EST) sequences were generated from B. rapa cv. Osome cDNA library and the unique transcripts were classified functionally using a gene ontology (GO) hierarchy, Kyoto encyclopedia of genes and genomes (KEGG). KEGG orthology and the structural domain data were obtained from the biological database for stress related genes (SRG). EST datasets provided a wide outlook of functional characterization of B. rapa cv. Osome. In silico analysis revealed % 83 of ESTs to be well annotated towards reeds one dimensional concept. Clustering of ESTs returned 333 contigs and 2,446 singlets, giving a total of 3,284 putative unigene sequences. This dataset contained 1,017 EST sequences functionally annotated to stress responses and from which expression of randomly selected SRGs were analyzed against cold, salt, drought, ABA, water and PEG stresses. Most of the SRGs showed differentially expression against these stresses. Thus, the EST dataset is very important for discovering the potential genes related to stress resistance in Chinese cabbage, and can be of useful resources for genetic engineering of Brassica sp.
