Search

Development of a Rhodobacter capsulatus self-reporting model system for optimizing light-dependent, [FeFe]-hydrogenase-driven H2 production

메타 데이터

바이오화학분류
    • 바이오정밀화학
      1. 연료
논문

Development of a Rhodobacter capsulatus self-reporting model system for optimizing light-dependent, [FeFe]-hydrogenase-driven H2 production

학술지

Biotechnology and bioengineering

저자명

Wecker, Matt S.A.; Beaton, Stephen E.; Chado, Robert A.; Ghirardi, Maria L.

초록

<P><B>ABSTRACT</B></P><P>The photosynthetic bacterium <I>Rhodobacter capsulatus</I> normally photoproduces H<SUB>2</SUB> as a by&#8208;product of its nitrogenase&#8208;catalyzed nitrogen&#8208;fixing activity. Such H<SUB>2</SUB> production, however, is expensive from a metabolic perspective, requiring nearly four times as many photons as the equivalent algal hydrogenase&#8208;based system (Ghirardi et al., 2009 Photobiological hydrogen&#8208;producing systems. Chem Soc Rev 38(1):52&ndash;61). Here, we report the insertion of a <I>Clostridium acetobutylicum</I> [FeFe]&#8208;hydrogenase and its three attendant hydrogenase assembly proteins into an <I>R. capsulatus</I> strain lacking its native uptake hydrogenase. Further, this strain is modified to fluoresce upon sensing H<SUB>2</SUB>. The resulting strain photoproduces H<SUB>2</SUB> and self&#8208;reports its own H<SUB>2</SUB> production through fluorescence. This model system represents a unique method of developing hydrogenase&#8208;based H<SUB>2</SUB> production in <I>R. capsulatus</I>, may serve as a powerful system for in vivo directed evolution of hydrogenases and hydrogenase&#8208;associated genes, and provides a means of screening for increased metabolic production of H<SUB>2</SUB>. Biotechnol. Bioeng. 2017;114: 291&ndash;297. &copy; 2016 Wiley Periodicals, Inc.</P>

발행연도

2017

ISSN

0006-3592

ISSN

1097-0290

114

2

페이지

pp.291-297

주제어

R. capsulatus H2 sensor; high&#x2010; throughput screening; photobiohydrogen; nitrogenase; H2 production;

0건의 논문이 있습니다.

0건의 특허가 있습니다.

0건의 무역이 있습니다.

1건의 후보군 물질이 있습니다.

1 2023-12-11

논문; 2017-12-31

Export

About

Search

Trend