Literature DB >> 25457388

Green genes: bioinformatics and systems-biology innovations drive algal biotechnology.

Maarten J M F Reijnders1, Ruben G A van Heck1, Carolyn M C Lam2, Mark A Scaife3, Vitor A P Martins dos Santos2, Alison G Smith3, Peter J Schaap4.   

Abstract

Many species of microalgae produce hydrocarbons, polysaccharides, and other valuable products in significant amounts. However, large-scale production of algal products is not yet competitive against non-renewable alternatives from fossil fuel. Metabolic engineering approaches will help to improve productivity, but the exact metabolic pathways and the identities of the majority of the genes involved remain unknown. Recent advances in bioinformatics and systems-biology modeling coupled with increasing numbers of algal genome-sequencing projects are providing the means to address this. A multidisciplinary integration of methods will provide synergy for a systems-level understanding of microalgae, and thereby accelerate the improvement of industrially valuable strains. In this review we highlight recent advances and challenges to microalgal research and discuss future potential.
Copyright © 2014 Elsevier Ltd. All rights reserved.

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Year:  2014        PMID: 25457388     DOI: 10.1016/j.tibtech.2014.10.003

Source DB:  PubMed          Journal:  Trends Biotechnol        ISSN: 0167-7799            Impact factor:   19.536


  11 in total

1.  A refined genome-scale reconstruction of Chlamydomonas metabolism provides a platform for systems-level analyses.

Authors:  Saheed Imam; Sascha Schäuble; Jacob Valenzuela; Adrián López García de Lomana; Warren Carter; Nathan D Price; Nitin S Baliga
Journal:  Plant J       Date:  2015-11-30       Impact factor: 6.417

2.  Trade-Off between Growth and Carbohydrate Accumulation in Nutrient-Limited Arthrospira sp. PCC 8005 Studied by Integrating Transcriptomic and Proteomic Approaches.

Authors:  Orily Depraetere; Frédéric Deschoenmaeker; Hanène Badri; Pieter Monsieurs; Imogen Foubert; Natalie Leys; Ruddy Wattiez; Koenraad Muylaert
Journal:  PLoS One       Date:  2015-07-21       Impact factor: 3.240

Review 3.  Establishing Chlamydomonas reinhardtii as an industrial biotechnology host.

Authors:  Mark A Scaife; Ginnie T D T Nguyen; Juan Rico; Devinn Lambert; Katherine E Helliwell; Alison G Smith
Journal:  Plant J       Date:  2015-03-08       Impact factor: 6.417

4.  dEMBF: A Comprehensive Database of Enzymes of Microalgal Biofuel Feedstock.

Authors:  Namrata Misra; Prasanna Kumar Panda; Bikram Kumar Parida; Barada Kanta Mishra
Journal:  PLoS One       Date:  2016-01-04       Impact factor: 3.240

Review 5.  In Metabolic Engineering of Eukaryotic Microalgae: Potential and Challenges Come with Great Diversity.

Authors:  Javier A Gimpel; Vitalia Henríquez; Stephen P Mayfield
Journal:  Front Microbiol       Date:  2015-12-15       Impact factor: 5.640

6.  Dynamic flux balance modeling to increase the production of high-value compounds in green microalgae.

Authors:  Robert J Flassig; Melanie Fachet; Kai Höffner; Paul I Barton; Kai Sundmacher
Journal:  Biotechnol Biofuels       Date:  2016-08-04       Impact factor: 6.040

7.  Alga-PrAS (Algal Protein Annotation Suite): A Database of Comprehensive Annotation in Algal Proteomes.

Authors:  Atsushi Kurotani; Yutaka Yamada; Tetsuya Sakurai
Journal:  Plant Cell Physiol       Date:  2017-01-01       Impact factor: 4.927

Review 8.  Microalgae, old sustainable food and fashion nutraceuticals.

Authors:  José L García; Marta de Vicente; Beatriz Galán
Journal:  Microb Biotechnol       Date:  2017-08-15       Impact factor: 5.813

Review 9.  Metabolic regulation of triacylglycerol accumulation in the green algae: identification of potential targets for engineering to improve oil yield.

Authors:  Elton C Goncalves; Ann C Wilkie; Matias Kirst; Bala Rathinasabapathi
Journal:  Plant Biotechnol J       Date:  2016-01-23       Impact factor: 9.803

10.  Reconstruction and analysis of a carbon-core metabolic network for Dunaliella salina.

Authors:  Melanie Fachet; Carina Witte; Robert J Flassig; Liisa K Rihko-Struckmann; Zaid McKie-Krisberg; Jürgen E W Polle; Kai Sundmacher
Journal:  BMC Bioinformatics       Date:  2020-01-02       Impact factor: 3.169

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