Powered by OpenAIRE graph
Found an issue? Give us feedback
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 https://doi.org/10.1...arrow_drop_down
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
https://doi.org/10.1007/978-94...
Part of book or chapter of book . 2014 . Peer-reviewed
License: Springer Nature TDM
Data sources: Crossref
versions View all 1 versions
addClaim

Systems Biology of Photobiological Hydrogen Production by Purple Non-sulfur Bacteria

Authors: James B. McKinlay;

Systems Biology of Photobiological Hydrogen Production by Purple Non-sulfur Bacteria

Abstract

Photosynthetic purple non-sulfur bacteria (PNSB) can naturally convert electrons from organic compounds, protons from water, and energy from light into H2 gas, via the enzyme nitrogenase. In 2004, the first PNSB genome sequence was reported, that of Rhodopseudomonas palustris strain CGA009. The CGA009 genome sequence revealed natural attributes that favored H2 accumulation and revealed further potential for enhancing H2 production. Since then, the genomes of several more Rp. palustris species and other PNSB have been sequenced. Comparing these genomes has led to new ideas for improving the substrate range, rate, and photosynthetic efficiency of H2 production. Furthermore, systems biology or ‘omics’ approaches, including transcriptomics, proteomics, and fluxomics have been applied. Many of these systems level approaches have focused on the regulation and activity of nitrogenase – the enzyme responsible for H2 production. Guided by these approaches, metabolic engineering has targeted metabolic pathways that compete with H2 production for electrons, leading to strains with higher H2 yields and potentially linking the survival of these strains to the production of H2 biofuel. A systems level examination of PNSB is now turning to characterize largely unexplored but potentially crucial aspects involved in H2 production including non-coding small RNAs and post-translational modifications. Systems biology approaches are also being designed to eliminate experimenter bias and highlight genes of unknown function that contribute to H2 production, ideally providing clues to their function and their place in bacterial physiology. This chapter describes the contributions of systems biology to our understanding and application of H2 production by PNSB, focusing on Rhodopseudomonas palustris and referencing examples from other PNSB.

Related Organizations
  • BIP!
    Impact byBIP!
    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).
    18
    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 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
18
Top 10%
Average
Top 10%
Upload OA version
Are you the author of this publication? Upload your Open Access version to Zenodo!
It’s fast and easy, just two clicks!