Transcriptome profiling of Chlorella sorokiniana under normal and stress condition

Purpose: The purpose of this study are to identify the genes involved in regulating the production of metabolites in Chlorella sorokiniana under stress-induced condition through RNA-sequencing technique. Methods:Transcriptome profile from normal and stress sample of C. sorokiniana were generated, in triplicate, using Illumina Hiseq2000. The sequence reads that passed quality filters were de-novo assembled using Trinity doftware, followed by analysis using Burrows–Wheeler Aligner (BWA) and DESeq2. Lastly, RT-qPCR was used to validate the expression level of genes. Results: A total of 200 million reads was obtained from both normal and stress induced samples of C. sorokiniana. The assembly program produced 18,310 assembled transcripts with a length ranging from 165 to 16,695 bp. Differential expression analysis revealed 933 transcripts were significantly differentially expressed between normal and stress with 431 were up-regulated and 502 were down-regulated. Pathway analysis revealed that the differentially expressed genes were associated with a variety of KEGG pathways. Overall design: Transcriptome profile of C. sorokiniana under normal and stress conditions were generated in triplicates by deep sequencing using NEBNext Ultra Directional RNA for Illumina.