Literature DB >> 23748020

Proteomic analysis of Chlorella vulgaris: potential targets for enhanced lipid accumulation.

Michael T Guarnieri1, Ambarish Nag, Shihui Yang, Philip T Pienkos.   

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. BIOLOGICAL SIGNIFICANCE: 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.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biofuels; Cell cycle; Lipid; Metabolic engineering; Microalgae; Proteomics

Mesh:

Substances:

Year:  2013        PMID: 23748020     DOI: 10.1016/j.jprot.2013.05.025

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  22 in total

1.  Enhanced lipid accumulation and biodiesel production by oleaginous Chlorella protothecoides under a structured heterotrophic-iron (II) induction strategy.

Authors:  Yuqin Li; Jinxiu Mu; Di Chen; Hua Xu; Fangxin Han
Journal:  World J Microbiol Biotechnol       Date:  2015-02-28       Impact factor: 3.312

2.  Predicting Dynamic Metabolic Demands in the Photosynthetic Eukaryote Chlorella vulgaris.

Authors:  Cristal Zuñiga; Jennifer Levering; Maciek R Antoniewicz; Michael T Guarnieri; Michael J Betenbaugh; Karsten Zengler
Journal:  Plant Physiol       Date:  2017-09-26       Impact factor: 8.340

3.  Pretreated animal and human waste as a substantial nutrient source for cultivation of microalgae for biodiesel production.

Authors:  Vinod Kumar; Akshay Kumar; Manisha Nanda
Journal:  Environ Sci Pollut Res Int       Date:  2018-05-25       Impact factor: 4.223

Review 4.  Algal omics: unlocking bioproduct diversity in algae cell factories.

Authors:  Michael T Guarnieri; Philip T Pienkos
Journal:  Photosynth Res       Date:  2014-03-14       Impact factor: 3.573

5.  Bioremediation of domestic and industrial wastewaters integrated with enhanced biodiesel production using novel oleaginous microalgae.

Authors:  Neha Arora; Alok Patel; Km Sartaj; Parul A Pruthi; Vikas Pruthi
Journal:  Environ Sci Pollut Res Int       Date:  2016-08-03       Impact factor: 4.223

6.  The boosted lipid accumulation in microalga Chlorella vulgaris by a heterotrophy and nutrition-limitation transition cultivation regime.

Authors:  Tingting Liu; Fei Liu; Chao Wang; Zhenyao Wang; Yuqin Li
Journal:  World J Microbiol Biotechnol       Date:  2016-10-31       Impact factor: 3.312

7.  Membrane Proteomic Insights into the Physiology and Taxonomy of an Oleaginous Green Microalga.

Authors:  Adriana Garibay-Hernández; Bronwyn J Barkla; Rosario Vera-Estrella; Alfredo Martinez; Omar Pantoja
Journal:  Plant Physiol       Date:  2016-11-08       Impact factor: 8.340

8.  Genome-Scale Metabolic Model for the Green Alga Chlorella vulgaris UTEX 395 Accurately Predicts Phenotypes under Autotrophic, Heterotrophic, and Mixotrophic Growth Conditions.

Authors:  Cristal Zuñiga; Chien-Ting Li; Tyler Huelsman; Jennifer Levering; Daniel C Zielinski; Brian O McConnell; Christopher P Long; Eric P Knoshaug; Michael T Guarnieri; Maciek R Antoniewicz; Michael J Betenbaugh; Karsten Zengler
Journal:  Plant Physiol       Date:  2016-07-02       Impact factor: 8.340

9.  De novo transcriptomic analysis of hydrogen production in the green alga Chlamydomonas moewusii through RNA-Seq.

Authors:  Shihui Yang; Michael T Guarnieri; Sharon Smolinski; Maria Ghirardi; Philip T Pienkos
Journal:  Biotechnol Biofuels       Date:  2013-08-23       Impact factor: 6.040

10.  Comparative analyses of three Chlorella species in response to light and sugar reveal distinctive lipid accumulation patterns in the Microalga C. sorokiniana.

Authors:  Julian N Rosenberg; Naoko Kobayashi; Austin Barnes; Eric A Noel; Michael J Betenbaugh; George A Oyler
Journal:  PLoS One       Date:  2014-04-03       Impact factor: 3.240

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