• Scientists create protein models to expl

    From ScienceDaily@1337:3/111 to All on Tue Aug 25 21:30:32 2020
    Scientists create protein models to explore toxic methylmercury
    formation

    Date:
    August 25, 2020
    Source:
    DOE/Oak Ridge National Laboratory
    Summary:
    A team has created a computational model of the proteins responsible
    for the transformation of mercury to toxic methylmercury, marking
    a step forward in understanding how the reaction occurs and how
    mercury cycles through the environment.



    FULL STORY ==========================================================================
    A team led by the Department of Energy's Oak Ridge National Laboratory
    created a computational model of the proteins responsible for the transformation of mercury to toxic methylmercury, marking a step forward
    in understanding how the reaction occurs and how mercury cycles through
    the environment.


    ========================================================================== Methylmercury is a potent neurotoxin that is produced in natural
    environments when inorganic mercury is converted by microorganisms
    into the more toxic, organic form. In 2013, ORNL scientists announced
    a landmark discovery: They identified a pair of genes, hgcA and hgcB,
    that are responsible for mercury methylation.

    Those genes encode the proteins HgcA and HgcB, whose structure and
    function ORNL scientists have been working to better understand.

    "Determining protein structures can be challenging," said Jerry Parks, the
    head investigator and leader of the Molecular Biophysics group at ORNL.

    These two proteins are difficult to characterize experimentally for
    several reasons: they are produced by anaerobic microorganisms and
    are therefore highly sensitive to oxygen; they are expressed at such
    low levels in cells that they are barely detectable by conventional
    techniques; HgcA is embedded in the membrane of a cell, making it more challenging to study than a soluble protein; and both proteins have
    complex cofactors -- substances that bind to proteins and are essential
    for their function.

    "We don't have an experimental structure yet for these proteins, so
    the next best thing is to use computational techniques to predict their structure," Parks said.



    ==========================================================================
    The computational model was generated using a large dataset of HgcA
    and HgcB protein sequences from many different microorganisms, ORNL's high-performance computing resources and bioinformatics, and structural modeling techniques as detailed in a recent article in Communications
    Biology.

    The result is a 3D structural model of the HgcAB protein complex and
    its cofactors that scientists can use to develop new hypotheses designed
    to understand the biochemical mechanism of mercury methylation and then
    test them experimentally.

    Scientists have been predicting protein structures from their amino
    acid sequences for many years. In 2017, a team led by the University of Washington reached a milestone, modeling the structures of hundreds of previously unsolved protein families by mining large metagenomic datasets
    for diverse protein sequences. This approach predicts which pairs of
    amino acids in each protein are in close contact with each other, and
    then uses that information to fold the proteins computationally.

    Parks was eager to apply the same techniques to the mercury work, turning
    to data available from DOE's Joint Genome Institute, a DOE Office of
    Science user facility.

    The scientists searched the JGI database for HgcA and HgcB amino acid sequences. They then performed a coevolution analysis to identify
    coordinated changes that occur among pairs of amino acids. Coevolution
    makes it likely that those coordinated pairs are close to each other in
    the three-dimensional folded structure of the protein. This information
    can be used to guide computational protein folding and predict how the
    folded protein domains interact with each other.



    ==========================================================================
    One surprising finding by the team is that the two domains of HgcA
    don't interact with each other, but they both interact with the
    HgcB protein. The model also suggests that conserved cysteine amino
    acids in HgcB are likely involved in shuttling some forms of mercury, methylmercury, or both, to HgcA during the reaction. Some features of
    these proteins are similar to other more well-studied proteins, but
    others are unique and have not been observed before in any other protein.

    Future research will involve experimental testing. Stephen Ragsdale's
    group at the University of Michigan is working out a way to produce the
    HgcA and HgcB proteins in E. coli bacteria in sufficient quantities to
    enable the proteins to be studied in the laboratory using spectroscopic techniques and X-ray crystallography. "We are excited that this important experimental work is being done," said Parks. "It will be interesting
    to see how well we did with our structure predictions." Mercury is a
    naturally occurring element found worldwide, and scientists at ORNL have
    come to realize that the microorganisms that convert inorganic mercury
    to methylmercury are also widespread. "We don't know as much as we'd
    like about all the different reactions and processes that mercury can
    undergo," Parks added. "This work helps us understand more about one of
    the most important biotransformations of mercury in nature." In addition
    to gaining insight into mercury methylation, the project creates a new capability at ORNL that can be used to explore the structure and function
    of other microbial proteins. In particular, Parks and colleagues are
    interested in characterizing proteins from microorganisms referred to
    as microbial dark matter because they are unable to be cultured in the
    lab and are otherwise difficult to study.

    "There is so much we still don't know about all the unusual proteins that
    are produced by microorganisms," Parks said. "This technique allows us
    to begin characterizing these complex, mysterious biological systems."

    ========================================================================== Story Source: Materials provided by
    DOE/Oak_Ridge_National_Laboratory. Note: Content may be edited for style
    and length.


    ========================================================================== Journal Reference:
    1. Connor J. Cooper, Kaiyuan Zheng, Katherine W. Rush, Alexander
    Johs, Brian
    C. Sanders, Georgios A. Pavlopoulos, Nikos C. Kyrpides,
    Mircea Podar, Sergey Ovchinnikov, Stephen W. Ragsdale, Jerry
    M. Parks. Structure determination of the HgcAB complex using
    metagenome sequence data: insights into microbial mercury
    methylation. Communications Biology, 2020; 3 (1) DOI:
    10.1038/s42003-020-1047-5 ==========================================================================

    Link to news story: https://www.sciencedaily.com/releases/2020/08/200825121831.htm

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