Literature DB >> 22020644

Structural features in the KshA terminal oxygenase protein that determine substrate preference of 3-ketosteroid 9α-hydroxylase enzymes.

Mirjan Petrusma1, Lubbert Dijkhuizen, Robert van der Geize.   

Abstract

Rieske nonheme monooxygenase 3-ketosteroid 9α-hydroxylase (KSH) enzymes play a central role in bacterial steroid catabolism. KSH is a two-component iron-sulfur-containing enzyme, with KshA representing the terminal oxygenase component and KshB the reductase component. We previously reported that the KshA1 and KshA5 homologues of Rhodococcus rhodochrous DSM43269 have clearly different substrate preferences. KshA protein sequence alignments and three-dimensional crystal structure information for KshA(H37Rv) of Mycobacterium tuberculosis H37Rv served to identify a variable region of 58 amino acids organized in a β sheet that is part of the so-called helix-grip fold of the predicted KshA substrate binding pocket. Exchange of the β sheets between KshA1 and KshA5 resulted in active chimeric enzymes with substrate preferences clearly resembling those of the donor enzymes. Exchange of smaller parts of the KshA1 and KshA5 β-sheet regions revealed that a highly variable loop region located at the entrance of the active site strongly contributes to KSH substrate preference. This loop region may be subject to conformational changes, thereby affecting binding of different substrates in the active site. This study provides novel insights into KshA structure-function relationships and shows that KSH monooxygenase enzymes are amenable to protein engineering for the development of biocatalysts with improved substrate specificities.

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Year:  2011        PMID: 22020644      PMCID: PMC3256619          DOI: 10.1128/JB.05838-11

Source DB:  PubMed          Journal:  J Bacteriol        ISSN: 0021-9193            Impact factor:   3.490


  21 in total

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Authors:  L M Iyer; E V Koonin; L Aravind
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Authors:  R E Parales; R Huang; C-L Yu; J V Parales; F K N Lee; D J Lessner; M M Ivkovic-Jensen; W Liu; R Friemann; S Ramaswamy; D T Gibson
Journal:  Appl Environ Microbiol       Date:  2005-07       Impact factor: 4.792

5.  Mechanisms of steroid oxidation by microorganisms. IX. On the mechanism of ring A cleavage in the degradation of 9,10-seco steroids by microorganisms.

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Journal:  J Mol Biol       Date:  2005-04-07       Impact factor: 5.469

9.  Molecular and functional characterization of kshA and kshB, encoding two components of 3-ketosteroid 9alpha-hydroxylase, a class IA monooxygenase, in Rhodococcus erythropolis strain SQ1.

Authors:  R van der Geize; G I Hessels; R van Gerwen; P van der Meijden; L Dijkhuizen
Journal:  Mol Microbiol       Date:  2002-08       Impact factor: 3.501

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  13 in total

1.  Withdrawn

Authors: 
Journal:  Infect Disord Drug Targets       Date:  2012-11-16

2.  Substrate specificities and conformational flexibility of 3-ketosteroid 9α-hydroxylases.

Authors:  Jonathan S Penfield; Liam J Worrall; Natalie C Strynadka; Lindsay D Eltis
Journal:  J Biol Chem       Date:  2014-07-21       Impact factor: 5.157

3.  Engineered 3-Ketosteroid 9α-Hydroxylases in Mycobacterium neoaurum: an Efficient Platform for Production of Steroid Drugs.

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4.  The effect of 3-ketosteroid-Δ(1)-dehydrogenase isoenzymes on the transformation of AD to 9α-OH-AD by Rhodococcus rhodochrous DSM43269.

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Journal:  J Ind Microbiol Biotechnol       Date:  2016-07-04       Impact factor: 3.346

Review 5.  3-Ketosteroid 9α-hydroxylase enzymes: Rieske non-heme monooxygenases essential for bacterial steroid degradation.

Authors:  Mirjan Petrusma; Robert van der Geize; Lubbert Dijkhuizen
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Review 8.  New Insights on Steroid Biotechnology.

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Review 9.  Bacterial steroid hydroxylases: enzyme classes, their functions and comparison of their catalytic mechanisms.

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Journal:  Appl Microbiol Biotechnol       Date:  2018-07-21       Impact factor: 4.813

10.  Whole-genome and enzymatic analyses of an androstenedione-producing Mycobacterium strain with residual phytosterol-degrading pathways.

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Journal:  Microb Cell Fact       Date:  2020-10-02       Impact factor: 5.328

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