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Research@WUR
Article . 2016
Data sources: Research@WUR
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Nature Reviews Microbiology
Article . 2016 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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Harnessing the power of microbial autotrophy

Authors: Claassens, Nico J.; Machado de Sousa, Diana; Martins dos Santos, Vitor; de Vos, Willem M.; van der Oost, John;

Harnessing the power of microbial autotrophy

Abstract

Autotrophic microorganisms convert CO2 into biomass by deriving energy from light or inorganic electron donors. These CO2-fixing microorganisms have a large, but so far only partially realized, potential for the sustainable production of chemicals and biofuels. Productivities have been improved in autotrophic hosts through the introduction of production pathways and the modification of autotrophic systems by genetic engineering. In addition, approaches are emerging in which CO2 fixation pathways and energy-harvesting systems are transplanted into heterotrophic model microorganisms. Alternative promising concepts are hybrid production systems of autotrophs and heterotrophs, and bio-inorganic hybrids of autotrophic microorganisms with electrocatalysts or light-harvesting semiconductor materials. In this Review, we discuss recent advances and bottlenecks for engineering microbial autotrophy and explore novel strategies that will pave the way towards improved microbial autotrophic production platforms.

Country
Netherlands
Related Organizations
Keywords

Autotrophic Processes, Bacteria, Light, Heterotrophic Processes, Carbon Dioxide, Cyanobacteria, Carbon Cycle, Metabolic Engineering, Biofuels, Solar Energy, Life Science, Synthetic Biology, Biomass, Genetic Engineering, Metabolic Networks and Pathways

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
234
Top 1%
Top 10%
Top 1%
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