Discovering oxygen channel topology in photosystem II using implicit ligand sampling and wavefront propagation

https://doi.org/10.1016/j.jocs.2013.10.001Get rights and content

Highlights

  • We examine oxygen migration pathways in the large multi polypeptide photosystem II protein complex.

  • We introduce a new strategy for finding small molecule pathways in large multiprotein complexes.

  • Our approach combines molecular dynamics, implicit ligand sampling and wavefront propagation within a three dimensional free energy map.

  • Our results show the presence of two putative oxygen escape channels in photosystem II.

Abstract

Photosystem II (PSII) of photosynthesis uses water as substrate for its photochemical reaction. Molecular oxygen is one of the products of this complex reaction which uses the energy of light to oxidize water and reduce plastoquinone. The active site of PSII is buried deep within the protein, which raises the question of whether there are specific access channels guiding substrate water to the site of catalysis and product oxygen away from it. Substrate/product channels have been proposed to exist and serve various functions in PSII, however the preferred paths have not been unambiguously identified. We investigated oxygen transport between the active site of PSII and the solvent. For this purpose, we have applied molecular dynamics simulations followed by implicit ligand sampling. We then found minimal cost pathways for the oxygen through the protein and obtained topology maps of the oxygen-accessible part of a chemical labyrinth. Application of this new strategy led to identification of two oxygen channels in the protein. Both channels connect the protein surface with region of high oxygen affinity near the active site.

Introduction

Oxygen plays an important role in many biological reactions. It is produced through the light-driven oxidation and splitting of water in plants and cyanobacteria. Catalytic sites of many different proteins interact with oxygen. Formerly, the idea of unconstrained oxygen diffusion through proteins was generally accepted [1]. However, this point of view is changing. While the role of channels in relation to oxygen entry in myoglobin is still a matter of intense debate [2], a number of studies (hydrogenase [3], truncated hemoglobin [4], [5], aquaporin [6], copper amine oxidazes [7], flavoenzymes [8], cytochrome oxidase [9], fluorescent proteins [10], [11] and lipoxygenases [12], [13]) have described specific oxygen diffusion channels. The experimental localization of molecular oxygen within proteins is difficult, as it is highly mobile and usually is not resolved in X-ray crystal structures. In some cases mimicking oxygen with xenon or krypton, which have higher electron densities, has allowed the detection of potential oxygen binding sites [14]. Other techniques, like tryptophan fluorescence quenching, suffer from relatively low spatial resolution. The application of computational methods is an alternative and promising approach to determine the localization of oxygen in a protein. In this article we describe a new computational strategy for investigation of oxygen pathways in large protein complexes and apply it to photosystem II (PSII) of photosynthesis.

PSII is the first protein complex in the chain of oxygenic photosynthesis. It uses the energy of sunlight to extract electrons from water molecules. Products of this reaction: molecular oxygen, protons and electrons are used to power a variety of cellular metabolic processes [15], [16]. PSII uses an abundant energy supply and ultimately powers most forms of life on our planet. However, structural and mechanistic details of this process are not well understood. PSII is a ∼350 kDa protein complex of 20 polypeptide subunits embedded in the thylakoid membranes of green plant chloroplasts, or internal membranes of cyanobacteria [17]. The catalytic site of PSII is the oxygen-evolving complex (OEC), a Mn4CaO5 cluster embedded in the D1 polypeptide and separated from the bulk water by extrinsic protein subunits. In cyanobacteria these extrinsic subunits are O, U and V (Fig. 1).

Fast oxygen diffusion away from the catalytic site has been suggested to be important for PSII function as it would minimize potential oxidative damage to the active site [18]. Water channels have been suggested to be important for optimal binding and orientation of the substrate water as well as for restricting the access of unwanted solutes and reactions associated with excessive amounts of water [19]. The elucidation of the structure of PSII [20], [21] gave the first insights into details of substrate and product conduction. Several channels were identified in a number of computational studies examining internal solvent accessible surfaces found within the crystallographic structures of PSII [22], [23], [24]. These channels were tentatively assigned to water/oxygen/proton channels based solely on their width and number of hydrophilic amino acids. A significant limitation of these studies is that only one particular static conformation of the protein complex was considered. This is a physically unrealistic picture as proteins and the channels within them are dynamic at physiological temperatures [3], [25]. To overcome these limitations molecular dynamics (MD) simulations of a PSII core complex in the presence of explicit solvent water molecules were performed to identify water channels from a dynamic point of view [26], and to determine the energetic barriers for water permeation though PSII extrinsic proteins [27]. These studies found a system of branching pathways of water diffusion in PSII leading to the OEC and connecting to a number of distinct entrance points on the lumenal surface. Gibbs free energy profiles for water permeation indicated that water access is restricted in all of the observed channels. The main constriction sites were identified in water pathways [27]. These sites were suggested to serve as selectivity filters that restrict both the access of solutes detrimental to the water oxidation reaction and loss of Ca2+ and Cl from the active site. Molecular dynamics studies supported the original idea that regulatory mechanisms could exist to control substrate access to the Mn4Ca05 cluster [27] and revealed mechanistic details of this process.

Thus, computational approaches have been proven to be useful in studies of water permeation. Oxygen permeation in PSII, however, has not yet been studied computationally. The only experimental result related to molecular oxygen diffusion within PSII revealed two krypton binding sites [24]. While water is abundant in the interior of PSII protein and it constitutes its natural environment, oxygen is not. Therefore computational approaches based on equilibrium molecular dynamics and diffusion tensor imaging [26] or accelerated water injection [27] cannot be used to identify oxygen pathways. In this paper, we discuss current strategies of finding small molecule pathways through molecular labyrinths and present a new approach for the solution of this problem. We then apply this method to investigate the topology and energetics of the pathways of molecular oxygen within PSII.

Section snippets

Finding pathways in static protein structures and the shortcomings of this approach

Finding small molecule pathways inside proteins is not simple even when the atomic structure of the protein is known. Small molecules may enter the protein through multiple channels that are not apparent from examination of the static X-ray structure of the protein. The simplest approximation methods to estimate the possibility of a small molecule migrating through a protein consider only geometrical factors and treat protein atoms as static hard spheres. However, even within such a simplified

Calculations

The four steps of finding dynamic ligand pathways are as follows:

  • 1.

    Perform a molecular dynamics simulation to obtain the molecular trajectory of motion.

  • 2.

    Use the trajectory to compute the 3D free energy map for the ligand in a region of interest.

  • 3.

    Chose a starting point and compute wavefront propagation using the 3D slowness field obtained from the 3D free energy map.

  • 4.

    Examine isosurfaces of the wavefront arrival times and locate points where the wavefront exits the protein. Starting from each of the

Gibbs free energy map of oxygen in the interior of PS II complex

The three dimensional free energy map of PSII computed using the ILS method is shown in Fig. 2. As seen from this figure, the free energy map is complex and does not show distinct channels upon visual examination. Instead it revealed many small low energy cavities isolated from each other by energetic barriers. Thus, visual inspection of this volumetric map was insufficient to localize low energy pathways. A closer examination of the free energy map near the catalytic site of PSII revealed

Discussion

The combined “MD + ILS + wavefront propagation” approach, introduced in this work, was successful in the search for oxygen migration pathways within the large multipolypeptide PSII protein complex. Application of this approach revealed two distinct oxygen channels in PSII. Both channels are consistent with the two experimentally observed krypton binding sites (Kr9 and Kr10) [24] which were found to be located within channel B and channel A, respectively. In this study we determined the topology of

Acknowledgements

This work was supported by Discovery and Equipment grants from the Natural Science and Engineering Research Council of Canada. It was made possible by the facilities of the Shared Hierarchical Academic Research Computing Network (SHARCNET) and Compute/Calcul Canada.

Tatiana Zaraiskaya completed her PhD in biophysics in 2004 at the University of Guelph, Canada on computer simulations and NMR studies of glyco and phospholipid bilayers. After this her postdoctoral practice was at Imaging Research Center, McMaster University on developing new computational approaches for MR image analysis. She was a lecturer at McMaster University and Brock University. At present she is a researcher at the Department of Biological Sciences, Brock University working on water

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    Tatiana Zaraiskaya completed her PhD in biophysics in 2004 at the University of Guelph, Canada on computer simulations and NMR studies of glyco and phospholipid bilayers. After this her postdoctoral practice was at Imaging Research Center, McMaster University on developing new computational approaches for MR image analysis. She was a lecturer at McMaster University and Brock University. At present she is a researcher at the Department of Biological Sciences, Brock University working on water and oxygen transport in complex proteins. Her research interests include understanding the fundamental mechanisms of protein–ligand interactions, protein folding, lipid membrane dynamics.

    Serguei Vassilev is currently a research associate at Brock University, Canada. Serguei received his PhD thesis and his Diploma in Biophysics from M. V. Lomonosov Moscow State University in 1987 and 1982, respectively. Following this, he has been a Humboldt fellow at Technical University of Berlin. Serguei's research interests include modeling of energy conversion in natural and artificial photosynthetic systems, simulations of water and oxygen transport in proteins, calculation of the properties of cofactors in protein complexes.

    Doug Bruce is the chair of the Department of Biological Sciences at Brock University. His background is in biophysics and his laboratory studies the mechanism of energy conversion in photosynthesis. Doug's research interests range from the physiology of photosynthetic organisms in extreme environments to the application of computational approaches to investigate the workings of photosynthetic reaction centers at the molecular level.

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