Wheat is the third largest crop in the world behind corn and rice. Wheat is grown over a wide range of environments, and an essential source of carbohydrates. However, the genomics of wheat, a non-model species, is still challenging despite of corn and rice was done. The recent advent of RNA-Sequencing, a massively parallel sequencing method for genome and transcriptome analysis, provides opportunity to identify gene discovery and molecular mechanisms of cellular processes. We performed a RNA-Seq experiment to find differentially expressed genes under high temperature condition. More than 344 million shot reads were generated using Illumina HiSeq technology. A comprehensive and integrated 285,324 transcripts were assembled via Trinity by combining tentative consensus sequences. Transcripts annotated by BLAST2Go and differently expressed transcripts were analyzed. A total of 208 up-regulated and 182 down-regulated transcripts were found that involve in plastid, starch and sucrose metabolism, glycerolipid metabolism and glycerolipid and dicarboxylate metabolism. Our results demonstrate that RNA-Seq can be successfully used for gene identification, transcript profiling in wheat. Furthermore these sequences will provide valuable resources for wheat researchers.