It is well known that drought periods affect coffee plant development, leading to plant death and abortion of developing fruits in case of severe drought. In relation to coffee genetic diversity, several works reported the identification of plants of C. canephora conilon susceptible or tolerant to drought which were analyzed at the physiological level and also used to identify candidate genes underlying stress responses. Even narrow, a genetic diversity for drought tolerance also exist in the species C. arabica. In addition to the identification of undiscovered transcripts, the recent development of low-cost, high throughput next-generation (NGS) sequencing technologies now opens the way to perform expression profiling and to identify gene presenting differential expression patterns by comparing the frequency of reads obtained after sequencing. In order to initiate such kind of approach in coffee, RNA of meristematic tissues from Iapar59 (I59, drought tolerant) and Rubi (R, drought sensible) cultivars of C. arabica grown under field-grown with (I) or without (NI) irrigation were extracted and used to generate cDNA that were further sequenced. The sequencing data revealed 282.213, 135.304, 345.751 and 230.064 reads obtained from I59-I, I59-NI, R-I and R-NI samples, respectively, totalizing more than 255Mb. These data was compared with all available transcriptome Coffea data, including the EST sequences from both Coffea arabica and C. canephora. The results of these comparisons will be presented as well as the preliminary data of an electronic northern performed in order to identify differentially expressed genes between the two cultivars in both conditions (NI or I). General numbers show that Rubi has a more intense molecular response to drought, with many genes over-expressed. Also functional analysis of biological processes shows an enrichment of stress response genes in Rubi non-irrigated while in I59 there is a decrease in expression in genes related to carbohydr