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Bürgi J, Lill P, Giannopoulou EA, Jeffries CM, Chojnowski G, Raunser S, Gatsogiannis C, Wilmanns M. Asymmetric horseshoe-like assembly of peroxisomal yeast oxalyl-CoA synthetase. Biol Chem 2023; 404:195-207. [PMID: 36694962 DOI: 10.1515/hsz-2022-0273] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Accepted: 12/17/2022] [Indexed: 01/26/2023]
Abstract
Oxalyl-CoA synthetase from Saccharomyces cerevisiae is one of the most abundant peroxisomal proteins in yeast and hence has become a model to study peroxisomal translocation. It contains a C-terminal Peroxisome Targeting Signal 1, which however is partly dispensable, suggesting additional receptor bindings sites. To unravel any additional features that may contribute to its capacity to be recognized as peroxisomal target, we determined its assembly and overall architecture by an integrated structural biology approach, including X-ray crystallography, single particle cryo-electron microscopy and small angle X-ray scattering. Surprisingly, it assembles into mixture of concentration-dependent dimers, tetramers and hexamers by dimer self-association. Hexameric particles form an unprecedented asymmetric horseshoe-like arrangement, which considerably differs from symmetric hexameric assembly found in many other protein structures. A single mutation within the self-association interface is sufficient to abolish any higher-level oligomerization, resulting in a homogenous dimeric assembly. The small C-terminal domain of yeast Oxalyl-CoA synthetase is connected by a partly flexible hinge with the large N-terminal domain, which provides the sole basis for oligomeric assembly. Our data provide a basis to mechanistically study peroxisomal translocation of this target.
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Affiliation(s)
- Jérôme Bürgi
- European Molecular Biology Laboratory, Hamburg Unit, Notkestrasse 85, D-22607 Hamburg, Germany
| | - Pascal Lill
- Department of Structural Biochemistry, Max Planck Institute of Molecular Physiology, D-44227 Dortmund, Germany
- Institute for Medical Physics and Biophysics and Center for Soft Nanoscience, University of Münster, Busso-Peus-Str. 10, D-48149 Münster, Germany
| | | | - Cy M Jeffries
- European Molecular Biology Laboratory, Hamburg Unit, Notkestrasse 85, D-22607 Hamburg, Germany
| | - Grzegorz Chojnowski
- European Molecular Biology Laboratory, Hamburg Unit, Notkestrasse 85, D-22607 Hamburg, Germany
| | - Stefan Raunser
- Department of Structural Biochemistry, Max Planck Institute of Molecular Physiology, D-44227 Dortmund, Germany
| | - Christos Gatsogiannis
- Department of Structural Biochemistry, Max Planck Institute of Molecular Physiology, D-44227 Dortmund, Germany
- Institute for Medical Physics and Biophysics and Center for Soft Nanoscience, University of Münster, Busso-Peus-Str. 10, D-48149 Münster, Germany
| | - Matthias Wilmanns
- European Molecular Biology Laboratory, Hamburg Unit, Notkestrasse 85, D-22607 Hamburg, Germany
- University Hamburg Clinical Center Hamburg-Eppendorf, University Hamburg, D-20251Hamburg, Germany
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López García de Lomana A, Kaur A, Turkarslan S, Beer KD, Mast FD, Smith JJ, Aitchison JD, Baliga NS. Adaptive Prediction Emerges Over Short Evolutionary Time Scales. Genome Biol Evol 2017; 9:1616-1623. [PMID: 28854640 PMCID: PMC5570091 DOI: 10.1093/gbe/evx116] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/11/2017] [Indexed: 12/11/2022] Open
Abstract
Adaptive prediction is a capability of diverse organisms, including microbes, to sense a cue and prepare in advance to deal with a future environmental challenge. Here, we investigated the timeframe over which adaptive prediction emerges when an organism encounters an environment with novel structure. We subjected yeast to laboratory evolution in a novel environment with repetitive, coupled exposures to a neutral chemical cue (caffeine), followed by a sublethal dose of a toxin (5-FOA), with an interspersed requirement for uracil prototrophy to counter-select mutants that gained constitutive 5-FOA resistance. We demonstrate the remarkable ability of yeast to internalize a novel environmental pattern within 50-150 generations by adaptively predicting 5-FOA stress upon sensing caffeine. We also demonstrate how novel environmental structure can be internalized by coupling two unrelated response networks, such as the response to caffeine and signaling-mediated conditional peroxisomal localization of proteins.
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Affiliation(s)
| | | | | | - Karlyn D. Beer
- Institute for Systems Biology, Seattle, Washington
- Present address: Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Fred D. Mast
- Institute for Systems Biology, Seattle, Washington
- Center for Infectious Disease Research, Seattle, Washington
| | - Jennifer J. Smith
- Institute for Systems Biology, Seattle, Washington
- Center for Infectious Disease Research, Seattle, Washington
| | - John D. Aitchison
- Institute for Systems Biology, Seattle, Washington
- Center for Infectious Disease Research, Seattle, Washington
- Molecular and Cellular Biology Program, University of Washington
- Department of Cell Biology, University of Alberta, Edmonton, Alberta, Canada
| | - Nitin S. Baliga
- Institute for Systems Biology, Seattle, Washington
- Molecular and Cellular Biology Program, University of Washington
- Departments of Biology and Microbiology, University of Washington
- Lawrence Berkeley National Lab, Berkeley, California
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