title: Proteomic analysis of Chlorella vulgaris: potential targets for enhanced lipid accumulation.
abstract: Oleaginous microalgae are capable of producing large quantities of fatty acids and triacylglycerides. As such, they are promising feedstocks for the production of biofuels and bioproducts. Genetic strain-engineering strategies offer a means to accelerate the commercialization of algal biofuels by improving the rate and total accumulation of microalgal lipids. However, the industrial potential of these organisms remains to be met, largely due to the incomplete knowledgebase surrounding the mechanisms governing the induction of algal lipid biosynthesis. Such strategies require further elucidation of genes and gene products controlling algal lipid accumulation. In this study, we have set out to examine these mechanisms and identify novel strain-engineering targets in the oleaginous microalga, Chlorella vulgaris. Comparative shotgun proteomic analyses have identified a number of novel targets, including previously unidentified transcription factors and proteins involved in cell signaling and cell cycle regulation. These results lay the foundation for strain-improvement strategies and demonstrate the power of translational proteomic analysis.
  
  
  CONCLUSIONS
  We have applied label-free, comparative shotgun proteomic analyses, via a transcriptome-to-proteome pipeline, in order to examine the nitrogen deprivation response in the oleaginous microalga, C. vulgaris. Herein, we identify potential targets for strain-engineering strategies targeting enhanced lipid accumulation for algal biofuels applications. Among the identified targets are proteins involved in transcriptional regulation, lipid biosynthesis, cell signaling and cell cycle progression. This article is part of a Special Issue entitled: Translational Plant Proteomics.
authors.affiliation: National Bioenergy Center, National Renewable Energy Laboratory, Golden, CO 80401, USA. Electronic address: Michael.Guarnieri@nrel.gov.
authors.forename: Michael T
authors.initials: MT
authors.lastname: Guarnieri
authors.forename: Ambarish
authors.initials: A
authors.lastname: Nag
authors.forename: Shihui
authors.initials: S
authors.lastname: Yang
authors.forename: Philip T
authors.initials: PT
authors.lastname: Pienkos
mesh_terms: D020418:Algal Proteins / Q000096:biosynthesis; D018797:Cell Cycle Proteins / Q000378:metabolism; D048408:Chlorella vulgaris / Q000235:genetics / Q000378:metabolism*; D005227:Fatty Acids / Q000096:biosynthesis; D018506:Gene Expression Regulation, Plant; D008055:Lipids / Q000096:biosynthesis*; D060847:Metabolic Engineering; D058086:Microalgae / Q000378:metabolism; D009249:NADP / Q000096:biosynthesis; D009584:Nitrogen / Q000172:deficiency / Q000378:metabolism; D020543:Proteome / Q000235:genetics; D040901:Proteomics / Q000379:methods*; D015398:Signal Transduction; D014157:Transcription Factors / Q000096:biosynthesis; D059467:Transcriptome; D014280:Triglycerides / Q000096:biosynthesis
chemical_list: D020418:Algal Proteins; D018797:Cell Cycle Proteins; D005227:Fatty Acids; D008055:Lipids; D020543:Proteome; D014157:Transcription Factors; D014280:Triglycerides; D009249:NADP; D009584:Nitrogen
keywords: Biofuels; Cell cycle; Lipid; Metabolic engineering; Microalgae; Proteomics