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      MamO Is a Repurposed Serine Protease that Promotes Magnetite Biomineralization through Direct Transition Metal Binding in Magnetotactic Bacteria

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          Abstract

          Many living organisms transform inorganic atoms into highly ordered crystalline materials. An elegant example of such biomineralization processes is the production of nano-scale magnetic crystals in magnetotactic bacteria. Previous studies implicated the involvement of two putative serine proteases, MamE and MamO, during the early stages of magnetite formation in Magnetospirillum magneticum AMB-1. Here, using genetic analysis and X-ray crystallography, we show that MamO has a degenerate active site, rendering it incapable of protease activity. Instead, MamO promotes magnetosome formation through two genetically distinct, noncatalytic activities: activation of MamE-dependent proteolysis of biomineralization factors and direct binding to transition metal ions. By solving the structure of the protease domain bound to a metal ion, we identify a surface-exposed di-histidine motif in MamO that contributes to metal binding and show that it is required to initiate biomineralization in vivo. Finally, we find that pseudoproteases are widespread in magnetotactic bacteria and that they have evolved independently in three separate taxa. Our results highlight the versatility of protein scaffolds in accommodating new biochemical activities and provide unprecedented insight into the earliest stages of biomineralization.

          Abstract

          Genetic, structural, and phylogenetic analyses reveal that MamO is a degenerate descendant of serine proteases that has acquired a new function in promoting the synthesis of magnetic iron oxide particles in bacteria.

          Author Summary

          Biomineralization is an ancient and ubiquitous process by which organisms assemble crystalline materials for their own benefit. The ability to precisely organize inorganic atoms into crystals with intricate shapes demonstrates a level of control over nanoparticle synthesis that has fascinated biologists for generations. We have been studying how a group of microorganisms, called magnetotactic bacteria, synthesizes iron-based crystals that are used for navigation along magnetic fields. Here, we characterize a protein called MamO that helps to initiate the formation of a magnetic mineral called magnetite in cells of the magnetotactic bacterium Magentospirillum magneticum AMB-1. Although predicted to be a trypsin-like protease, we show that MamO has lost its ancestral catalytic activity and instead gained a new function as a metal-binding scaffold. By solving its structure, we discovered how MamO binds to transition metal atoms and show that this activity is required to crystalize magnetite within cells. Surprisingly, we find that similar repurposed trypsin-like proteases have evolved independently in all three major magnetotactic groups, outlining a fascinating case of convergent evolution. The unique evolutionary history of MamO demonstrates that existing protein scaffolds can be modified to provide new functions and contributes to our understanding of how cells build transition metal-based minerals.

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          Most cited references38

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          The recent literature on profile hidden Markov model (profile HMM) methods and software is reviewed. Profile HMMs turn a multiple sequence alignment into a position-specific scoring system suitable for searching databases for remotely homologous sequences. Profile HMM analyses complement standard pairwise comparison methods for large-scale sequence analysis. Several software implementations and two large libraries of profile HMMs of common protein domains are available. HMM methods performed comparably to threading methods in the CASP2 structure prediction exercise.
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            ProtTest: selection of best-fit models of protein evolution.

            Using an appropriate model of amino acid replacement is very important for the study of protein evolution and phylogenetic inference. We have built a tool for the selection of the best-fit model of evolution, among a set of candidate models, for a given protein sequence alignment. ProtTest is available under the GNU license from http://darwin.uvigo.es
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              Structure validation by Calpha geometry: phi,psi and Cbeta deviation.

              Geometrical validation around the Calpha is described, with a new Cbeta measure and updated Ramachandran plot. Deviation of the observed Cbeta atom from ideal position provides a single measure encapsulating the major structure-validation information contained in bond angle distortions. Cbeta deviation is sensitive to incompatibilities between sidechain and backbone caused by misfit conformations or inappropriate refinement restraints. A new phi,psi plot using density-dependent smoothing for 81,234 non-Gly, non-Pro, and non-prePro residues with B < 30 from 500 high-resolution proteins shows sharp boundaries at critical edges and clear delineation between large empty areas and regions that are allowed but disfavored. One such region is the gamma-turn conformation near +75 degrees,-60 degrees, counted as forbidden by common structure-validation programs; however, it occurs in well-ordered parts of good structures, it is overrepresented near functional sites, and strain is partly compensated by the gamma-turn H-bond. Favored and allowed phi,psi regions are also defined for Pro, pre-Pro, and Gly (important because Gly phi,psi angles are more permissive but less accurately determined). Details of these accurate empirical distributions are poorly predicted by previous theoretical calculations, including a region left of alpha-helix, which rates as favorable in energy yet rarely occurs. A proposed factor explaining this discrepancy is that crowding of the two-peptide NHs permits donating only a single H-bond. New calculations by Hu et al. [Proteins 2002 (this issue)] for Ala and Gly dipeptides, using mixed quantum mechanics and molecular mechanics, fit our nonrepetitive data in excellent detail. To run our geometrical evaluations on a user-uploaded file, see MOLPROBITY (http://kinemage.biochem.duke.edu) or RAMPAGE (http://www-cryst.bioc.cam.ac.uk/rampage). Copyright 2003 Wiley-Liss, Inc.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                PLoS Biol
                PLoS Biol
                plos
                plosbiol
                PLoS Biology
                Public Library of Science (San Francisco, CA USA )
                1544-9173
                1545-7885
                16 March 2016
                March 2016
                16 March 2016
                : 14
                : 3
                : e1002402
                Affiliations
                [1 ]Department of Plant and Microbial Biology, University of California, Berkeley, California, United States of America
                [2 ]Department of Molecular and Cellular Biology, University of California, Berkeley, California, United States of America
                [3 ]California Institute for Quantitative Biosciences, University of California, Berkeley, California, United States of America
                [4 ]Physical Biosciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America
                [5 ]Department of Chemistry, University of California, Berkeley, California, United States of America
                [6 ]Life Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, United States of America
                Rutgers University-Robert Wood Johnson Medical School, UNITED STATES
                Author notes

                The authors have declared that no competing interests exist.

                Conceived and designed the experiments: DMH XR RAM PJB EO SRJ MCYC JHH AK. Performed the experiments: DMH XR RAM PJB EO SRJ. Analyzed the data: DMH XR RAM PJB EO SRJ MCYC JHH AK. Contributed reagents/materials/analysis tools: DMH XR RAM SRJ MCYC JHH AK. Wrote the paper: DMH RAM AK.

                Article
                PBIOLOGY-D-15-03435
                10.1371/journal.pbio.1002402
                4794232
                26981620
                fd607cef-0301-4d17-ac70-546bd68e989e

                This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.

                History
                : 18 December 2015
                : 10 February 2016
                Page count
                Figures: 8, Tables: 0, Pages: 23
                Funding
                DMH and AK are supported by grants from the National Institutes of Health ( www.nih.gov R01GM084122) and the Office of Naval Research ( www.onr.navy.mil N000141310421). Beamline 8.3.1 at the Advanced Light Source, LBNL, is supported by the UC Office of the President, Multicampus Research Programs and Initiatives grant MR‐15‐328599 ( http://www.ucop.edu/research-grants-program/programs/multi-campus-research-programs-and-initiatives.html) and the Program for Breakthrough Biomedical Research ( http://pbbr.ucsf.edu/), which is partially funded by the Sandler Foundation. The Advanced Light Source is supported by the Director, Office of Science, Office of Basic Energy Sciences, of the U.S. Department of Energy ( http://science.energy.gov/bes/) under Contract No. DE-AC02-05CH11231. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Biochemistry
                Enzymology
                Enzymes
                Proteases
                Biology and Life Sciences
                Biochemistry
                Proteins
                Enzymes
                Proteases
                Biology and Life Sciences
                Physiology
                Physiological Processes
                Biomineralization
                Medicine and Health Sciences
                Physiology
                Physiological Processes
                Biomineralization
                Earth Sciences
                Mineralogy
                Minerals
                Magnetite
                Physical Sciences
                Materials Science
                Materials by Structure
                Crystals
                Biology and Life Sciences
                Molecular Biology
                Molecular Biology Techniques
                Sequencing Techniques
                Sequence Analysis
                Sequence Alignment
                Research and Analysis Methods
                Molecular Biology Techniques
                Sequencing Techniques
                Sequence Analysis
                Sequence Alignment
                Biology and Life Sciences
                Evolutionary Biology
                Evolutionary Systematics
                Phylogenetics
                Biology and Life Sciences
                Taxonomy
                Evolutionary Systematics
                Phylogenetics
                Computer and Information Sciences
                Data Management
                Taxonomy
                Evolutionary Systematics
                Phylogenetics
                Physical Sciences
                Physics
                Condensed Matter Physics
                Solid State Physics
                Crystallography
                Crystal Structure
                Biology and Life Sciences
                Biochemistry
                Enzymology
                Enzymes
                Proteases
                Serine Proteases
                Biology and Life Sciences
                Biochemistry
                Proteins
                Enzymes
                Proteases
                Serine Proteases
                Custom metadata
                All relevant data are within the paper and its Supporting Information files. Raw quantitations are included in files S1 Data.xlsx and S2 Data.xlsx. The coordinates and structure factors have been deposited in the Protein Data Bank with accession codes 5HM9 and 5HMA.

                Life sciences
                Life sciences

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