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Emerging Topics in
Physical
Vir logy
This page intentionally left blank
Emerging Topics in
Physical
Vir logy
Editors
Peter G Stockley
University of Leeds, UK
Reidun Twarock
University of York, UK
Distributed by
World Scientific Publishing Co. Pte. Ltd.
5 Toh Tuck Link, Singapore 596224
USA office 27 Warren Street, Suite 401-402, Hackensack, NJ 07601
UK office 57 Shelton Street, Covent Garden, London WC2H 9HE
For photocopying of material in this volume, please pay a copying fee through the Copyright
Clearance Center, Inc., 222 Rosewood Drive, Danvers, MA 01923, USA. In this case permission to
photocopy is not required from the publisher.
ISBN-13 978-1-84816-464-2
ISBN-10 1-84816-464-5
Printed in Singapore.
Contributors
Peter G. Stockley
Asbury Centre for Structural Molecular Biology,
University of Leeds, Leeds, LS2 9JT, UK
p.g.stockley@leeds.ac.uk
Reidun Twarock
Departments of Mathematics and Biology,
York Centre for Complex Systems Analysis,
University of York,
York, YO10 5DD, UK
rt507@york.ac.uk
Nicola G. A. Abrescia
Structural Biology Unit, CICbioGUNE,
Bizkaia Technology Park,
48160 Derio, Spain
nabrescia@cicbiogune.es
Javier Arsuaga
Department of Mathematics,
San Francisco State University,
San Francisco, CA 94132, USA
jarsuaga@sfsu.edu
Dennis H. Bamford
Institute of Biotechnology and Department of
Biological and Environmental Sciences,
Viikki Biocenter, University of Helsinki,
00014 University of Helsinki, Finland
dennis.bamford@helsinki.fi
v
vi Contributors
Robijn F. Bruinsma
Department of Physics and Astronomy,
University of California, Los Angeles,
Los Angeles, CA 90024, USA
bruinsma@physics.ucla.edu
Martin Castelnovo
Laboratoire de Physique,
Ecole Normale Superieure de Lyon,
69364 Lyon Cedex 07, France
martin.castelnovo@ens-lyon.fr
Alex Evilevitch
Department of Physics,
Carnegie Mellon University,
Pittsburgh, PA 15213, USA
alex.evilevitch@biochemistry.lu.se
Elizabeth E. Fry
Division of Structural Biology
and the Oxford Protein Production Facility,
The Wellcome Trust Centre for Human Genetics,
University of Oxford,
Headington, Oxford, OX3, 7BN, UK
Liz@strubi.ox.ac.uk
William M. Gelbart
Department of Chemistry and Biochemistry,
University of California, Los Angeles,
Los Angeles, CA 90095-1569, USA
gelbart@chem.ucla.edu
Jonathan M. Grimes
Division of Structural Biology
and the Oxford Protein Production Facility,
The Wellcome Trust Centre for Human Genetics,
University of Oxford,
Headington, Oxford, OX3 7BN, UK
jonathan@strubi.ox.ac.uk
Contributors vii
Thomas Keef
Department of Mathematics,
University of York, York, YO10 5DD, UK
tk506@york.ac.uk
William S. Klug
Department of Mechanical and Aerospace Engineering,
University of California, Los Angeles,
Los Angeles, CA 90095, USA
klug@seas.ucla.edu
Charles M. Knobler
Department of Chemistry and Biochemistry,
University of California, Los Angeles,
Los Angeles, CA 90095-1569, USA
knobler@chem.ucla.edu
Kristopher J. Koudelka
Department of Cell Biology,
The Scripps Research Institute,
La Jolla, CA 92037, USA
koudelka@scripps.edu
Marianne Manchester
Skaggs School of Pharmacy and Pharmaceutical Sciences,
University of California San Diego,
9500 Gilman Drive, MC 0749,
La Jolla, CA 92093, USA
mmanchester@ucsd.edu
Eric B. Monroe
Department of Microbiology,
University of Alabama at Birmingham,
Birmingham, AL 35294-2170, USA
ebmonroe@uab.edu
Alexander Yu. Morozov
Department of Physics and Astronomy,
University of California, Los Angeles,
Los Angeles, CA 90024, USA
morozov@physics.ucla.edu
viii Contributors
J. Zachary Porterfield
University of Oklahoma Health Sciences Center,
Dept of Biochemistry, Oklahoma City,
OK 73104, USA
zach-porterfield@ouhsc.edu
Peter E. Prevelige
Department of Microbiology,
University of Alabama at Birmingham,
Birmingham, AL 35294-2170, USA
prevelige@uab.edu
Neil A. Ranson
Asbury Centre for Structural Molecular Biology,
University of Leeds, Leeds, LS2 9JT, UK
n.a.ranson@leeds.ac.uk
Janne J. Ravantti
Institute of Biotechnology and Department
of Biological and Environmental Sciences,
Viikki Biocenter, University of Helsinki,
00014 University of Helsinki, Finland
janne.ravantti@helsinki.fi
Joaquim Roca
Instituto de Biologia Molecular de Barcelona,
CSIC, Barcelona, Spain
joaquim.roca@ibmb.csic.es
Wouter H. Roos
Fysica van complexe systemen,
Natuur- en Sterrenkunde, Vrije Universiteit,
1081 HV Amsterdam, The Netherlands
wroos@few.vu.nl
Joseph Rudnick
Department of Physics and Astronomy,
University of California, Los Angeles,
Los Angeles, CA 90024, USA
jrudnick@physics.ucla.edu
Contributors ix
David I. Stuart
Division of Structural Biology
and the Oxford Protein Production Facility,
The Wellcome Trust Centre for Human Genetics,
University of Oxford,
Headington, Oxford, OX3 7BN, UK
dave@strubi.ox.ac.uk
De Witt Sumners
Department of Mathematics,
Florida State University,
Tallahassee, FL 32306-4510, USA
sumners@math.fsu.edu
Gijs J. L. Wuite
Fysica van complexe systemen,
Natuur- en Sterrenkunde, Vrije Universiteit,
1081 HV Amsterdam, The Netherlands
gwuite@nat.vu.nl
Adam Zlotnick
Department of Biology,
Indiana University,
Bloomington, IN 47405, USA
azlotnic@indiana.edu
This page intentionally left blank
Preface
xi
xii Preface
consequence of the fact that only a limited number of layouts are possible
for viruses with such symmetry.
Atomic force microscopy provides important insights into the
mechanical properties of viruses as detailed in the chapter by Wouter Roos
and Gijs Wuite. The authors discuss capsid shell structure, presence of
encapsidated material, capsid failure, maturation and capsid protein muta-
tions in relation to viral material properties and highlight similarities and
differences for different types of viruses. Another important experimen-
tal technique in the study of viruses is mass spectrometry. Eric Mon-
roe and Peter Prevelige show how this technique can be used to gain
invaluable information on viral proteins. Mass spectrometry can also play
a crucial role in the study of virus assembly, i.e. the process of forma-
tion of viral particles from their protein building blocks and genomic
material. An overview of capsid assembly kinetics is provided by one of
the pioneers in this area, Adam Zlotnick, and his collaborator Zachary
Porterfield. Their chapter covers both modelling and experimental tech-
niques and provides a comprehensive overview of viral capsid kinetics. An
important factor in virus assembly and disassembly is the mechanical stress
on different components of the viral capsid. A beautiful account of how
stress distributions impact on the assembly and disassembly of viral capsids
formed from pentamers and hexamers is provided by Robijn Bruinsma and
collaborators.
Viruses may package genomic material in the form of DNA or RNA.
An important question concerning the formation of RNA viruses is ‘what
determines the size of an RNA virus?’ It is addressed by Chuck Knobler
and Bill Gelbart in their discussion of the correlation between capsid and
genome sizes. The impact of genome length versus capsid size on the
physics of viral infectivity is also discussed with respect to double-stranded
DNA (dsDNA) phages by Alex Evilevitch and Martin Castelnovo.
Another intriguing feature of packaged DNA genomic material is its
topology. Together with their experimental collaborator Joaquim Roca,
Jarvier Arsuaga and De Witt Sumners provide a comprehensive account
of the mathematical and experimental analysis of the topology of
viral DNA.
A volume on emerging topics in physical virology would not be com-
plete without a discussion of the fascinating applications of viruses and
virus-like particles in biomedical nanotechnology that are opened up by
Preface xiii
Contributors v
Preface xi
xv
xvi Contents
1. Introduction
The molecular details of how viruses infect and hijack the cellular processes
of their host cells are of critical importance in biology and medicine. It
is only through a precise understanding of such events that new anti-viral
therapies will be developed. One of the key elements of this growing under-
standing of the viral life cycle has been an increased understanding of the
structure of viruses, and in particular their dynamic properties. Together
with X-ray crystallography, cryo-electron microscopy (cryo-EM) tech-
niques have played a central role in studying virus structure. At the same
time, viruses have played an equally important role in the development
of cryo-EM and single-particle image processing as techniques in modern
structural biology. In this chapter we will illustrate these developments for
non-expert readers with selected examples.
∗ Asbury Centre for Structural Molecular Biology, University of Leeds, Leeds, LS2
1
2 N. A. Ranson and P. G. Stockley
Electron microscopy has been used to image viruses for more than
50 years. Initial studies involved the use of negative staining, in which the
virus is placed on a continuous carbon film, coated in a heavy metal salt
such as uranyl acetate, ammonium molybdate or phosphotungstic acid,
and then dried before imaging (Fig. 1). Such treatment embeds the virus
in a cast of the heavy metal salt and it is this cast, rather than the biolog-
ical macromolecule itself, that gives rise to contrast in the images; hence
‘negative’ staining. Staining methods are rapid, generate high image con-
trast, and allow relatively large electron doses to be used, producing readily
interpretable relatively low-resolution images of virus particles. However,
staining also has major disadvantages. Firstly, penetration of stain into the
interior of macromolecules is limited by both the structure of those macro-
molecules and by the size of the stain crystals. In practice this means that
negative staining typically reveals only the external envelope of a macro-
molecule rather than any internal features. Secondly, the drying process
can significantly distort the structure being imaged, as specimens are typi-
cally flattened onto the carbon support film as they dehydrate (see Fig. 2a).
Such structural deformations are exacerbated by the pH and ionic strength
of the stain solution, which places the biological macromolecule in a pro-
foundly non-native environment. In summary, negatively stained images of
viruses therefore are excellent at identifying the presence of viral particles
in both purified and cellular samples, and this remains a major tool in the
search for the presence of novel viruses in tissues.
Cryo-Electron Microscopy of Viruses 3
Fig. 4. The principle of how to calculate a 3-D structure from 2-D projections. The
virus is randomly oriented in vitreous ice layer of a cryo-EM grid. The recorded images,
containing noise and distorted by the effects of the microscope CTF are projections
of different views of the virus onto the plane in which the image is recorded. The
2-D Fourier transform of those images are central sections through the 3D Fourier
transform of the virus. Knowing the orientation of each particle tells you which central
section of the 3-D transform that virus particle represents — i.e. how the slices fit
together. The degree to which the 3-D transform is populated is one of the limits on
resolution in cryo-EM studies; hence the need for randomly distributed orientations
and the advantage of high symmetry. The 3-D object is reconstructed by reverse Fourier
transformation to give a 3-D electron density map.
8 N. A. Ranson and P. G. Stockley
to their mass. Hence the use of heavy metal salts in negative staining. The
masses of atoms typically found in proteins and/or nucleic acids are very
similar to those found in the surrounding water and buffer molecules of
the vitreous ice layer. This means that although cryo-EM images contain
information from the entire macromolecular structure, they typically have
extremely low contrast. This problem is made markedly worse by the radi-
ation sensitivity of unstained biological macromolecules, requiring that
the electron dose delivered to the specimen be kept low to minimise radi-
ation damage. Together these factors result in the characteristically poor
signal to noise ratios (SNR) of cryo-EM images, and necessitate compu-
tational averaging of data to improve the SNR to a point where structure
determination is possible. In essence, in cryo-EM noisy images of indi-
vidual molecules have to be explicitly averaged after the data is recorded,
whilst in X-ray diffraction averaging is an intrinsic property of the crystal.
This averaging creates significant computational challenges that need to
be overcome in order to determine cryo-EM structures, especially to high
resolution.
To a limited extent, the problem of low amplitude contrast in cryo-EM
images can be overcome by tuning the optical properties of the micro-
scope to introduce a second type of contrast into the recorded images:
phase contrast. In practice, this is routinely achieved by defocusing the
microscope, which introduces low-resolution phase contrast that is often
essential to allow relatively small objects, such as virus capsids, to be found
in noisy micrographs. It also means that distortion of the observed image
by the microscope’s contrast transfer function (CTF) becomes significant
and problematic (Fig. 5). A CTF is a phenomenon, common to all opti-
cal systems, that defines how information is transferred as a function of
spatial frequency (i.e. resolution) in Fourier space. The form of this func-
tion is of an oscillating sinusoidal variation in information transfer with
increasing frequency and decreasing amplitude (Fig. 5f). In real space
(i.e. in the observed image) the effects of a CTF are to convolute the
image of the object being studied with a point spread function (PSF). A
PSF spreads information from each area of the image into surrounding
areas and attenuates information at high resolution. The practical con-
sequences of using highly defocused images are therefore that although
they have more low-resolution contrast, allowing the particles to be found,
the particles themselves have less high resolution information and are
profoundly distorted, necessitating computational CTF correction during
10 N. A. Ranson and P. G. Stockley
Fig. 5. Contrast transfer functions in cryo-EM. (a) The effects of a CTF on the
observed image. The 3-D structure (a) is projected (in a computer) to give a 2-D
projection image with no added CTF (b). The effects of a CTF function are then
simulated with defocus of 1.0 µm (c), 2.0 µm (d), and 4.0 µm (e). The effects of the
Fourier space CTF function on the real image are of a point spread function, which
spreads information from the particle into surrounding areas. (f) Plots of typical CTF
functions applied in (c–e). A CTF has an oscillating form with increasing frequency
and decreasing amplitude — i.e. there are contrast reversals, spatial frequencies where
no information is transferred (‘zeroes’) and attenuation of high-resolution informa-
tion. Only by combining data at different degrees of defocus can full restoration of
information at all resolutions by achieved.
Fig. 6. Extremes of virus size. (a) X-ray structure of Satellite Panicum Mosaic
virus (SPMV; Ban & McPherson, 1995), amongst the smallest of known virus par-
ticles. SPMV has a T = 1 morphology and a diameter of ∼160 Å. (b) The largest
known virus: Mimivirus. Mimivirus has a T ∼= 1179 morphology and a diameter of
∼5000 Å. From Xiao et al., 2005; Xiao et al., 2009. Inset in the small box is SPMV
shown at the same scale as mimivirus.
free-living organism is a mycoplasma and its genome encodes just 470 pro-
teins. Mimivirus therefore blurs the boundaries between viruses and uni-
cellular organisms. Indeed, mimivirus has since been reported to be itself
parasitised by a smaller virus, the first ‘virophage’ (La Scola et al., 2008).
in a canyon on the surface of the virus. This surface feature was thought
to be too small to allow antibody access, providing spatial separation of
the receptor-binding site from the immune response. Surface residues
could therefore mutate more rapidly, allowing immune evasion, whilst the
receptor-binding site was maintained in its canyon. Although, antibody
binding has now been detected to epitopes within the canyon, the basic
proposal remains a paradigm for picornavirus — receptor interactions.
Structural studies on poliovirus, another picornavirus, have visu-
alised the virus bound to its cellular receptor incorporated into lipo-
somes (Bubeck et al., 2005). Such a structure represents a virus that is
poised to deliver its genomic information across the liposome bilayer,
and provides invaluable information about the process of infection via
membrane-embedded receptors. The authors first determined the viral
site at which receptor binding occurred using a novel post-imaging fidu-
cial marker technique. Briefly they determined the orientation of each
image in their dataset, and then added a white ‘spot’ to each image
marking the attachment site. When such ‘spotted’ images were used in
an icosahedral reconstruction a clear density above each five-fold ver-
tex was observed, unambiguously showing that the virus binds its intact
membrane-embedded receptor at a five-fold vertex. In turn this knowl-
edge allowed a reconstruction of the virus-receptor-liposome complex to
be calculated using C5 (five-fold rotational averaging around the attach-
ment site) symmetry (Fig. 7). The resulting five-fold averaged structure of
the complex shows how receptor binding brings one of the twelve five-fold
vertices of the capsid into close proximity with the membrane of the lipo-
some, where the lipid bilayer is perturbed. Presumably this perturbation
is the first step in allowing the viral RNA to access the interior of the host
cell. The same authors have now applied similar methodologies to examine
the membrane-attachment complex of Semliki forest virus (SFV), a model
for enveloped virus fusion. SFV also approaches the membrane along a
five-fold axis that at least suggests this may be a generic feature of receptor
recognition and fusion events.
7. Maturation Processes
Another area of virology in which cryo-EM has made a substantial con-
tribution to our expanding knowledge is in viral maturation. Although
significant efforts have been directed at HSV-1 nucleocapsid maturation,
the most complete description of a viral maturation pathway to date is for
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