Literature DB >> 25160918

Improving the sunlight-to-biomass conversion efficiency in microalgal biofactories.

Lutz Wobbe1, Claire Remacle2.   

Abstract

Microalgae represent promising organisms for the sustainable production of commodities, chemicals or fuels. Future use of such systems, however, requires increased productivity of microalgal mass cultures in order to reach an economic viability for microalgae-based production schemes. The efficiency of sunlight-to-biomass conversion that can be observed in bulk cultures is generally far lower (35-80%) than the theoretical maximum, because energy losses occur at multiple steps during the light-driven conversion of carbon dioxide to organic carbon. The light-harvesting system is a major source of energy losses and thus a prime target for strain engineering. Truncation of the light-harvesting antenna in the algal model organism Chlamydomonas reinhardtii was shown to be an effective way of increasing culture productivity at least under saturating light conditions. Furthermore engineering of the Calvin-Benson cycle or the creation of photorespiratory bypasses in A. thaliana proved to be successful in terms of achieving higher biomass productivities. An efficient generation of novel microalgal strains with improved sunlight conversion efficiencies by targeted engineering in the future will require an expanded molecular toolkit. In the meantime random mutagenesis coupled to high-throughput screening for desired phenotypes can be used to provide engineered microalgae.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Calvin cycle; Light conversion efficiency; Microalgae; Strain engineering; Truncated antenna mutants

Mesh:

Year:  2014        PMID: 25160918     DOI: 10.1016/j.jbiotec.2014.08.021

Source DB:  PubMed          Journal:  J Biotechnol        ISSN: 0168-1656            Impact factor:   3.307


  7 in total

1.  Fast forward genetics to identify mutations causing a high light tolerant phenotype in Chlamydomonas reinhardtii by whole-genome-sequencing.

Authors:  Lisa Schierenbeck; David Ries; Kristin Rogge; Sabrina Grewe; Bernd Weisshaar; Olaf Kruse
Journal:  BMC Genomics       Date:  2015-02-06       Impact factor: 3.969

Review 2.  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

3.  Effective cultivation of microalgae for biofuel production: a pilot-scale evaluation of a novel oleaginous microalga Graesiella sp. WBG-1.

Authors:  Xiaobin Wen; Kui Du; Zhongjie Wang; Xinan Peng; Liming Luo; Huanping Tao; Yan Xu; Dan Zhang; Yahong Geng; Yeguang Li
Journal:  Biotechnol Biofuels       Date:  2016-06-13       Impact factor: 6.040

4.  Intracellular spectral recompositioning of light enhances algal photosynthetic efficiency.

Authors:  Weiqi Fu; Amphun Chaiboonchoe; Basel Khraiwesh; Mehar Sultana; Ashish Jaiswal; Kenan Jijakli; David R Nelson; Ala'a Al-Hrout; Badriya Baig; Amr Amin; Kourosh Salehi-Ashtiani
Journal:  Sci Adv       Date:  2017-09-01       Impact factor: 14.136

5.  A mutant of Chlamydomonas without LHCSR maintains high rates of photosynthesis, but has reduced cell division rates in sinusoidal light conditions.

Authors:  Michael Cantrell; Graham Peers
Journal:  PLoS One       Date:  2017-06-23       Impact factor: 3.240

6.  Generation of random mutants to improve light-use efficiency of Nannochloropsis gaditana cultures for biofuel production.

Authors:  Giorgio Perin; Alessandra Bellan; Anna Segalla; Andrea Meneghesso; Alessandro Alboresi; Tomas Morosinotto
Journal:  Biotechnol Biofuels       Date:  2015-09-25       Impact factor: 6.040

7.  Providing reducing power by microalgal photosynthesis: a novel perspective towards sustainable biocatalytic production of bulk chemicals exemplified for aliphatic amines.

Authors:  Jana Löwe; Arthur Siewert; Anna-Catharina Scholpp; Lutz Wobbe; Harald Gröger
Journal:  Sci Rep       Date:  2018-07-11       Impact factor: 4.379

  7 in total

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