, Volume 6, Issue 2, pp 494-505
Date: 30 Oct 2012

De Novo Sequencing and Global Transcriptome Analysis of Nannochloropsis sp. (Eustigmatophyceae) Following Nitrogen Starvation

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Abstract

Nannochloropsis sp. is an economically and nutritionally important microalga. Recently it has been demonstrated that Nannochloropsis sp. has significant potential for biofuel production. To determine the mechanisms of lipid formation and accumulation during nitrogen starvation, a transcriptomic study was performed to compare gene expression during growth with and without nitrogen. Digital expression analysis identified 1,855 differentially expressed genes between cells grown under nitrogen-replete and nitrogen-deprived conditions; this provided novel insights into the molecular mechanisms of lipid formation by Nannochloropsis sp. under stress. As expected, nitrogen deprivation induced genes involved in nitrogen metabolism and lipid biosynthesis. Although the chlorophyll content decreased following nitrogen deprivation, a subset of genes putatively encoding light-harvesting complex (LHC) proteins were upregulated. These upregulated LHCs may play a role on photoprotection. The sequence data were confirmed using reverse transcription polymerase chain reaction (RT-PCR) and quantitative real-time RT-PCR. The expressions of a number of genes involved in acetyl-CoA metabolism were also affected under nitrogen-deprived stress, which may change fatty acids indirectly. Overall, we found low gene expression levels for fatty acid synthesis, suggesting that the buildup of precursors for the acetyl-CoA carboxylases may play a more significant role in TAG synthesis compared with the actual enzyme levels of acetyl-CoA carboxylases per se. The changes in transcript abundance in Nannochloropsis sp. following nitrogen deprivation provided a potential source for exploration of molecular mechanisms of lipid formation and accumulation. Furthermore, a set of simple sequence repeat motifs were identified from the expressed sequence tags, which provide useful genetic markers for further genetic analysis.

Chengwei Liang and Shaona Cao contributed equally to this work.