Biosynthesis of the Iron-Molybdenum and Iron-Vanadium Cofactors

  • P. W. Ludden
  • V. K. Shah
  • G. P. Roberts
  • C. Rüttimann-Johnson
  • P. Rangaraj
  • T. Foulger
  • R. M. Allen
  • M. Homer
  • J. Roll
  • X. Zhang
  • R. Chatterjee
Part of the Current Plant Science and Biotechnology in Agriculture book series (PSBA, volume 31)

Abstract

The iron-molybdenum cofactor (FeMo-co) (Shah, Brill, 1977) is the prototype of a small family of cofactors that constitute the active sites of the known nitrogenases. No other Mo, V or Fe-containing enzyme is known to employ FeMo-co or its analogs and all known nitrogenases contain one of these cofactors. FeMo-co (MoFe7S9homocitrate) is found at the active site of the nif-encoded, molybdenum nitrogenase, and its structure (Fig 1) was determined as a component of the dinitrogenase protein (NifDK) of Azotobacter vinelandii (Kim, Rees, 1992; Chan et al, 1993). The vnf-encoded nitrogenase-2 contains FeV-co (Smith et al, 1988) and the anf-encoded nitrogenase-3 contains FeFe-co (Davis et al, 1996) as dissociable cofactors that are thought to have structures that differ from FeMo-co only at the position of the heteroatom (Mo, V or Fe) as shown in Fig 1. The structures of FeV-co and FeFe-co have not been determined and the argument that their structures are similar to that of FeMo-co is based on the ability of isolated FeV-co and FeFe-co to replace FeMo-co in the nif-encoded dinitrogenase proteins When apodinitrogenase protein (NifDK, lacking FeMo-co but containing the P clusters) is reconstituted with FeV-co or FeFe-co in vitro, it functions to reduce acetylene and protons effectively, but not N2. Furthermore, FeMo-co is found associated with the anf-encoded dinitrogenase protein (AnfDGK) when cells are supplied with Mo (Gollan et al, 1993; Pau et al, 1993).

Keywords

Dinitrogenase Reductase Gamma Protein Azotobacter Strain Structural Gene Product Strain DJ42 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 1998

Authors and Affiliations

  • P. W. Ludden
    • 1
  • V. K. Shah
    • 1
  • G. P. Roberts
    • 1
  • C. Rüttimann-Johnson
    • 1
  • P. Rangaraj
    • 1
  • T. Foulger
    • 2
  • R. M. Allen
    • 1
  • M. Homer
    • 2
  • J. Roll
    • 2
  • X. Zhang
    • 1
  • R. Chatterjee
    • 1
  1. 1.Department of BiochemistryUniversity of Wisconsin-MadisonMadisonUSA
  2. 2.Department of BacteriologyUniversity of Wisconsin-MadisonMadisonUSA

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