Transcriptome-Based Network Analysis on Gene Expression Regulated by CO2 Deprivation in Chlorella pyrenoidosa

The understanding of molecular events occurring in green alga during CO2 deprivation, are still largely unknown. To well grasp its cellular metabolism, particularly the regulation of biosynthesis and degradation pathways of lipid, protein and carbohydrates, as well as the diverse trophic adaptation affecting carbon partitioning during the transition process, we sequenced the transcriptome (RNA-seq) in four time points to discover how transcriptional changes in C. pyrenoidosa modulate metabolic flux trends leading to intracellular components dynamic reassortment. Overall design: Two independent biological experiments (biological replicates) were carried out in the same batch. In total, eight samples collected at four time points (0-, 1-, 4, 24-h from CO2 deprivation process were used for mRNA-Seq library preparation and then submitted to HiSeq 2000 (Illumina, USA) for sequencing.