Project description:The transcriptome profiling of three samples in A. mongolicum Keng were studied using next-generation RNA sequencing under different drought stress conditions. This study aimed to identify genes of A. mongolicum Keng metabolism pathways that might be involved in this plant’s response to water deficit. 14.33 Gb high quality reads were assembled into 92,752 unigenes (unique transcripts), with a mean length of 1,303 bp. 76.26% had homologous genes in function databases.
Project description:The transcriptome profiling five tissues of juvenile Eriocheir sinensis, including gill, muscle, thoracic ganglion, eyestalk and hepatopancreas, were sequenced to get the basic dataset for constructed a genome-scale metabolic network model for E. sinensis. The model was used to predict the optimal nutrient requirements of E. sinensis in feed and suggestions for feed improvement were put forward based on the simulation results.
