Phosphoproteome of the Oleaginous Green Alga, Chlorella vulgaris UTEX 395, under Nitrogen-Replete and -Deplete Conditions
The unicellular green alga, Chlorella vulgaris UTEX 395, represents a promising biocatalyst for renewable biofuel production due to its relatively rapid growth rate and high lipid accumulation capacity (Guarnieri et al., 2011, 2012; Gerken et al., 2013; Griffiths et al., 2014; Zuniga et al., 2016). Prior analyses have unveiled the global proteome dynamics of C. vulgaris following nitrogen depletion, which induces a high lipid accumulation phenotype (Guarnieri et al., 2011, 2013). More recently, we have reported a draft genome, genome-scale model, and nitrosoproteome for this alga (Zuniga et al., 2016; Henard et al., 2017)1 providing further insight into lipid biosynthetic-, nutrient response-, and post-transcriptional-regulatory mechanisms. To further our understanding of these regulatory mechanisms and expand the knowledge base surrounding this organism, comparative phosphoproteomic analyses were conducted under nitrogen-replete and -deplete conditions to identify differentially phosphorylated proteins that will aid in the evaluation of the potential role of phosphoregulation in lipogenesis.
- Research Organization:
- National Renewable Energy Lab. (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE; USDOE Office of Energy Efficiency and Renewable Energy (EERE), NREL Laboratory Directed Research and Development (LDRD)
- Grant/Contract Number:
- 06511103, 06511301; Agreement No. 22000; AC36-08GO28308
- OSTI ID:
- 1423910
- Alternate ID(s):
- OSTI ID: 1431046
- Report Number(s):
- NREL/JA-5100-71230; 19
- Journal Information:
- Frontiers in Bioengineering and Biotechnology, Journal Name: Frontiers in Bioengineering and Biotechnology Vol. 6; ISSN 2296-4185
- Publisher:
- Frontiers Media SACopyright Statement
- Country of Publication:
- Switzerland
- Language:
- English
Web of Science
Similar Records
The Chlorella vulgaris S-Nitrosoproteome under Nitrogen-Replete and -Deplete Conditions
Genome-Scale Metabolic Model for the Green Alga Chlorella vulgaris UTEX 395 Accurately Predicts Phenotypes under Autotrophic, Heterotrophic, and Mixotrophic Growth Conditions