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Scientific Reports logoLink to Scientific Reports
. 2021 Feb 10;11:3498. doi: 10.1038/s41598-021-83076-5

High resolution cryo EM analysis of HPV16 identifies minor structural protein L2 and describes capsid flexibility

Daniel J Goetschius 1,2,#, Samantha R Hartmann 1,#, Suriyasri Subramanian 2, Carol M Bator 1, Neil D Christensen 3,4,5, Susan L Hafenstein 1,2,
PMCID: PMC7876116  PMID: 33568731

Abstract

Human papillomavirus (HPV) is a significant health burden and leading cause of virus-induced cancers. HPV is epitheliotropic and its replication is tightly associated with terminal keratinocyte differentiation making production and purification of high titer virus preparations for research problematic, therefore alternative HPV production methods have been developed for virological and structural studies. In this study we use HPV16 quasivirus, composed of HPV16 L1/L2 capsid proteins with a packaged cottontail rabbit papillomavirus genome. We have achieved the first high resolution, 3.1 Å, structure of HPV16 by using a local subvolume refinement approach. The high resolution enabled us to build L1 unambiguously and identify L2 protein strands. The L2 density is incorporated adjacent to conserved L1 residues on the interior of the capsid. Further interpretation with our own software for Icosahedral Subvolume Extraction and Correlated Classification revealed flexibility, on the whole-particle level through diameter analysis and local movement with inter-capsomer analysis. Inter-capsomer expansion or contraction, governed by the connecting arms, showed no bias in the magnitude or direction of capsomer movement. We propose that papillomavirus capsids are dynamic and capsomers move as rigid bodies connected by flexible linkers. The resulting virus structure will provide a framework for continuing biochemical, genetic and biophysical research for papillomaviruses. Furthermore, our approach has allowed insight into the resolution barrier that has previously been a limitation in papillomavirus structural studies.

Subject terms: Cryoelectron microscopy, Human papilloma virus

Introduction

Human papillomaviruses (HPVs) cause epithelial tumors and are the etiologic agents of numerous anogenital and oropharyngeal cancers13. HPV is implicated in more than 70% of head, neck, and throat cancers, the occurrence of which has been increasing steadily, specifically in a younger group of non-smoking 40–50 year old white men4,5. Although there are over one hundred known genotypes, HPV16 is associated with 50% of all cervical cancers and 90% of all other HPV-containing anogenital and oropharyngeal malignancies2,610. We used HPV16 in this study due to its disproportionate contribution to human disease.

HPV is epitheliotropic and its replication is tightly associated with terminal keratinocyte differentiation making production and purification of high-titer virus preparations for research problematic. Consequently, alternative HPV production methods of virus-like particles (VLPs) have been developed within the HPV community for virological and structural studies. Capsid protein only VLPs can be composed of the major structural protein (L1) alone, or of the major and minor capsid proteins (L1/L2) and are not infectious since they are devoid of viral genomes1113. Pseudovirus is comprised of both structural proteins (L1/L2) with plasmid DNA packaged as a mock genome14,15. Quasivirus is similarly comprised of both structural proteins (L1/L2), but packaged with a cottontail rabbit papillomavirus genome (CRPV) to assemble a structurally complete L1/L2 capsid that is infectious16. All these different HPV VLPs preserve the main attributes of the native capsid structure and have been used successfully for vaccine development and for studies of antigenicity, receptor usage, entry mechanisms, and structural analyses. Quasiviruses were used throughout the work described here.

Human papillomaviruses are non-enveloped, circular dsDNA containing viruses with capsids comprised of 360 copies of the major capsid protein, L1, and an uncertain number of the minor structural protein, L217,18. Five copies of L1 intertwine to form each of the 72 capsomers that make up the T = 7d icosahedron. The L2 structure is unknown and its capsid incorporation is unclear. L1 takes the form of the ubiquitous jellyroll of anti-parallel beta strands (BIDG and CHEF), which are connected by flexible loops that extend outward from the surface of the capsomer and constitute the majority of the L1 hypervariable regions. Pentavalent capsomers lie on the icosahedral fivefold axis and are surrounded by five neighboring capsomers. The remaining sixty hexavalent capsomers are each bordered by six capsomers. To form the icosahedral capsid the pentavalent and hexavalent environments confer quasi-equivalent conformations of L1. The asymmetric unit is comprised of six L1s, five of which make up a single hexavalent capsomer and one L1 that contributes to a pentavalent capsomer (Fig. 1A,B). An extension of each L1 C-terminal arm links capsomers through the formation of disulfide bonds between Cys 428 and Cys 175 of the adjacent capsomer14,19.

Figure 1.

Figure 1

Capsomer environments and subparticle refinement. (A,B) Illustrated graphically by cartoons of pentavalent and hexavalent capsomers, the HPV capsid asymmetric unit is made up of six L1 chains, labeled chain A–F and colored purple, blue, green, yellow, orange, and red respectively. (A) Each A chain of the pentavalent capsomer makes a connection with chain F of the neighboring hexavalent capsomer, showing fivefold icosahedral symmetry. The pentavalent capsomer is surrounded by single arm connections of chain B to chain E of hexavalent capsomers in a counterclockwise ring contribution. (B) Each C chain (green) can be seen interacting with another C chain, showing threefold icosahedral symmetry. Each E chain (orange) contributes to D chain (yellow), showing twofold symmetry. (C,D) Surface rendered subvolumes colored according to local resolution (color key) with exterior views (upper panels) and views flipped 180° for interior view (lower panel). Highest resolution (blue) in both environments is seen at the interior core of the capsomer with resolution diminishing at the connecting arms and at the outer edges (C) Pentavalent subvolumes are centered on the fivefold icosahedral symmetry axes, whereas a black pentagon identifies the fivefold axis location in the hexavalent capsomer (D). (E) Pentavalent capsomer FSC curve to 3.15 Å. (F) Hexavalent capsomer FSC curve to 3.08 Å.

Previously solved structures of HPV16 capsids have been limited by modest resolution. Although there are high resolution X-ray crystallography maps of the HPV16 L1 pentamer, the complete HPV T = 7d capsid has only been visualized by cryo EM20,21. Currently, all reconstructions of the entire capsid have been resolved with the use of icosahedral symmetry averaging, and the highest resolution structure is 4.3 Å17,2227. The commonality between all HPV structures that have been published is the reliable fit of only the major capsid protein, L1.

Although controversy remains about the number and positioning of L2 proteins incorporated into the capsid, L2 has been predicted to bind in the center of the capsomer with part of the N-terminus exposed on the surface28. Some stoichiometric studies have indicated that there are between 12 and 36 L2 molecules per HPV capsid29. However, other studies have suggested the amount of L2 per capsid is variable, and may include up to 72 L2 molecules per capsid, perhaps one within each capsomer17,30,31. Specific L2 functions have been determined and include facilitating the encapsidation of DNA, involvement in the conformational changes of the capsid during entry, disruption of the endosomal membrane, and subcellular trafficking of the viral genome17,32,33.

There have been many advances in cryo EM mainly in hardware and reconstruction software that have made it possible to obtain atomic resolution structures of viruses and other macromolecules34,35. Cryo EM reconstructions of icosahedral viruses traditionally use symmetry averaging to refine the capsid; however, more recent software developments including localized reconstruction and block-based reconstruction allow subvolumes to be designated for additional refinement36,37. These approaches improve map resolution by reconstructing smaller subvolumes of the virus, which often compensates for capsid-wide flexibility and the defocus gradient over the capsid. These advances have also allowed for resolution of asymmetric features, such as minor capsid proteins that do not follow strict icosahedral symmetry34,36,37.

In this study we used a subparticle refinement approach that allowed us to overcome the previous resolution barriers in HPV structural studies. We developed custom software, Icosahedral Subvolume Extraction & Correlated Classification (ISECC), to assess capsid flexibility on a per particle basis. Our high resolution map provided the most reliable structure of L1 to date, including corrections to the previous model. The structure also revealed for the first time unambiguous L2 density adjacent to a conserved L1 loop. Assessment of capsid flexibility revealed dynamic capsids with imperfect icosahedral symmetry. This continuous heterogeneity is the likely cause of limited resolution of HPV structure in previous studies and may play a role in crucial biological processes. The work describes methods to achieve high resolution that will lay the groundwork for future structural studies of papillomavirus and polyomavirus.

Results

Imposing icosahedral symmetry during refinement results in a moderate resolution map

Cryo EM micrographs showed virus particles of approximately 50 nm diameter composed of discrete, discernable capsomers (S. Figure 1.A). Consistent with previous studies, variation existed among virus particles, including the occasional rod-like structure22. Using a standard processing pipeline (see “Methods” section) 202,705 particles were classified to select 181,299 particles that contained internal density consistent with packaged genome. Icosahedral symmetry averaging was imposed during refinement to produce a 4.5 Å resolution map. At this resolution α-helices and β-sheets were discernable; however, the new map provided no improvement over previously published structures and a true atomic model could not be built. This result was disappointing considering the high quality micrographs, a large particle number, well-defined 2D classes (S. Figure 1.D), and advances in software since the 4.3 Å HPV16 structure was published by Guan, et al.22,35,38,39.

Using a subvolume reconstruction approach resulted in high resolution

Icosahedral averaging alone could not compensate for the heterogeneity among the capsids that is likely due to the flexibility between capsomers. To overcome and characterize capsid flexibility we developed Icosahedral Subvolume Extraction & Correlated Classification (ISECC), a suite of programs inspired by the Localized Reconstruction approach36,40. ISECC both defines the subparticles for local refinement and provides metadata for subsequent analysis. Here we defined the subparticles for extraction to correspond to pentavalent and hexavalent capsomers. After extraction, local refinement resulted in subvolume maps with local resolution ranging from 2.9 to 3.3 Å with the beta-jellyroll motif of the capsomer cores attaining better resolution than the solvent-exposed variable loops (Fig. 1C,D). The high resolution capsomer maps (Fig. 1E,F) were recombined into an icosahedral capsid with 3.1 Å resolution overall (ISECC_recombine), a dramatic improvement over the original 4.5 Å map (Fig. 2). The recombined map allowed the full asymmetric unit (Fig. 2C) of HPV to be unambiguously built for the first time.

Figure 2.

Figure 2

High resolution capsid map. The high resolution subparticle maps were recombined into a complete capsid (gray, surface rendered) (A), allowing the complete asymmetric unit (A, inset, color code as in Fig. 1A) to be visualized in the context of the capsid (icosahedral cage). The high quality of the map is evident in the central section (B) with symmetry axes denoted (black dotted line) and scale bar. Density for individual L1 chains could be continuously traced in both the pentavalent (C) (L1 chain A; shades of purple) and hexavalent (D) capsomer maps (bottom right; L1 chains B–F; blue, green, yellow, orange, red).

Notably, resolution did not improve beyond 3.1 Å, despite exceptional subparticle number (pentavalent: 2,175,588, hexavalent 10,877,940), which suggested the presence of additional heterogeneity. However, multiple attempts to 3D classify the subparticles, both before and after local refinement, failed to produce structurally distinct classes. This suggested that the signal-to-noise ratio (SNR) is the limiting factor in achieving truly atomic resolution. Optimized and iterative subtraction of neighboring subparticles might improve the resolution further, but such an experiment would require new software development and achieve modest improvements if successful.

A new, accurate structure for L1 was built into the high resolution map

The previous L1 structure (PDB ID 5KEP) was accurate to only modest resolution since it was generated from a 4.3 Å cryo EM density map22. However, as the model contained the asymmetric unit, it was used to initiate the build. Each L1 chain of the asymmetric unit was initially built into the corresponding capsomer subvolume density. The pentavalent capsomer is comprised of chain A with connecting arms from chain F, whereas, the hexavalent capsomer is comprised of chains B–F with the connecting arms from chains A–E (Fig. 1A,B).

After refining the structures in each of the subvolumes, the six L1 chains were assembled into the asymmetric unit. This pdb was then validated against the recombined map (S. Table 1). The resolution allowed unambiguous placement of most sidechains (S. Figure 2) and presented continuous density for most of the termini. For the six chains of the asymmetric unit (Fig. 1A,B, chains A–F) there was strong continuous density stretching from Tyr12 to Arg485 (A), Val16 to Phe480 (B), Met1 to Phe480 (C & D), Leu3 to Gly483 (E), and Met1 to Gly483 (F) respectively. The refined structure superimposed with 5KEP with a C-alpha root mean squared deviation (RMSD) of 2.37 Å. The improved resolution of our map when compared to the previous 4.3 Å structure (Guan et al.) allowed us to correct the 36 residues making up the C-terminal arm extensions (402–439)22. This map clearly resolved density corresponding to the Lys475 to Phe480 loop that was previously incorrectly assigned. N-terminal residues starting from Met 1, which had previously been unresolved, were now assigned for most of the chains in the asymmetric unit. Overall, the density in this map allowed clear assignment of residues and corrected the HPV16 L1 structure within the context of the icosahedral capsid.

Each connecting arm has a different conformation

The pentavalent and hexavalent L1 capsomers share a common core architecture but have different connecting arm structures (residues 402–439). The connecting arm extends from the base of the donor capsomer, looping into the neighboring capsomer to make a disulfide bond between Cys428 of the connecting arm and Cys175 of the neighboring capsomer, and then returns to the donor above the initial extension.

Capsomers superimposed with a c-alpha RMSD of 2.75 Å (Fig. 3A); however, after exclusion of connecting arm and N-terminal residues 1–23 (Fig. 3B) the c-alpha RMSD was 0.52 Å. These differences are further described by comparing each copy of L1 (chains A–F) that makes up the asymmetric unit (Fig. 3C). The six chains of L1 superimposed with a c-alpha RMSD of 6.16 Å, and with the removal of the connecting arms (402–439) and N-terminal residues (1–23) resulted in an RMSD of 0.38 Å (Fig. 3D), demonstrating the beta-jellyroll stability in the core of L1. The differing conformations of the connecting arms were then investigated to evaluate the extent of similarities and differences. All six conformations were superimposed from amino acid residues 385–472 to include the flanking alpha helices for alignment purposes. The overall RMSD of all six connecting arms was 8.56 Å (Fig. 3E). When evaluating the connecting arms pairwise RMSD values ranged from 1.35 to 18.23 Å, with the best RMSD values for the pairwise alignment between hexavalent chain F and pentavalent chain A (RMSD:1.35 Å) (Fig. 3F).

Figure 3.

Figure 3

Differences in L1 structural conformation. All RMSD values are given in Angstroms. (A) Pentavalent (five A chains, purple) and hexavalent (chain B–F, blue, green, yellow, orange, and red) capsomers superimposed with an RMSD of 2.75 Å. (B) Structure comparison of pentavalent and hexavalent capsomer conformations excluding amino acid side chains 402–439 that extend as a connecting arm to the neighboring capsomer, and the N-terminal residues 1–23. (C) Structure comparison of the six L1 conformations, making up the asymmetric unit chains A–F. (D) Structure comparison of the six L1 conformations, excluding amino acid side chains from the connecting arms and the N-terminal residues. (E) Structure comparison of the connecting arms of the six different L1 conformations found in the asymmetric unit. The flanking secondary structure was included for alignment, depicted as amino acid residues 385–472. (F) Pair-wise structure comparison of the six connecting arm conformations and their associated RMSD values.

The same flexible region comprised of nine amino acids is seen in each connecting arm conformation

The fit of these connecting arms revealed that the same sequence was found in different conformations. The connecting arms were resolved to a more modest resolution compared to the capsomer core. Specifically, the surface exposed region of the arms from His431 to Asp439 was found to be poorly resolved in each chain, even though the connecting arms are in varying conformations. The most compact conformation was in L1 chains A and F, whereas in chains D and E the conformation was the most extended, with chains B and C exhibiting an intermediate structure (Fig. 3E).

Both pentavalent and hexavalent capsomers have non-L1 density

After refining L1 into the density of the pentavalent and hexavalent capsomers, there was unfilled density on the interior in two distinct locations (Fig. 4A). These putative L2 densities appeared as strands with protruding knobs consistent with amino acid side chains. The first density, approximately four amino acids, had the overall shape of an arcing fishhook located over L1 Lys475 (Fig. 4B). This fishhook density was present in the previously published structure by Guan et al. but was incorrectly interpreted as L1 due to the moderate resolution of the previous map. The second, larger putative L2 density, approximately six amino acids, was found flanking an L1 loop region that extended from Ser306 to Ile327 (Fig. 4C,D). To assess the region of L1 that flanked this putative L2 density, conservation of residues within the L1 306-loop was evaluated across the nine types of HPV that are incorporated into the GARDASIL 9 HPV vaccine41. These clinically relevant types possess > 10% sequence diversity in L1; however, the 306-loop was highly conserved and all changes to this region were functionally conserved mutations42,43 (Fig. 4E, S. Table 2). Both of these putative L2 densities were present with different intensities within the pentavalent and hexavalent capsomer environments (S. Figure 3).

Figure 4.

Figure 4

Non-L1 Internal Density. The capsomer density maps are colored within 2 Å of the L1 protein chain and the gray areas are putative L2 density. (A) The internal capsomer core of pentavalent capsomer at contour level 2. The gray density is appears as protein-like density with two distinct areas correlated to each chain of L1 in the capsomer. (B) Zoom in of the fishhook putative L2 density. (C) Zoom in of internal capsomer density. (D) Same view as C. with L1 transparent, the residues that are being shown make up the conserved 306-loop, that is seen flanking the area of putative L2 density. (E) The plot shows the protein sequence conservation of the loop region Ser306—Ile328. Colored by charge with red being acidic, and blue being basic. The internally exposed region is denoted by a bracket and is found on the interior of the capsomer and adjacent to non-L1 associated density.

The fragmented nature of the putative L2 density suggested the possibility of a symmetry mismatch between L2 and each L1 capsomer. Thus, to resolve L2 we attempted 3D classification of capsomers with and without symmetry expansion. However, no classes with distinct, continuous L2 density arose. This finding suggested two possibilities: (1) there was inadequate SNR for successful classification (2) L2 may have long disordered stretches between the locations that we were able to resolve.

ISECC allowed correlated analysis of capsomers after local refinement

The original location of each extracted subvolume was recorded using ISECC (S. Table 3). Hexavalent capsomers were assigned a location relative to the nearest fivefold, threefold, and twofold symmetry axes, as well as a relative rotational assignment to distinguish the multiple capsomers most proximal to a given symmetry axis (S. Figure 4). These custom metadata were stored within the RELION 3.1 star file and after subvolume refinement the translational adjustments of each capsomer were correlated with respect to the other 71 capsomers, and to the capsid as a whole.

Capsid diameter differences showed Gaussian distribution

The diameter of individual HPV particles was calculated using the capsomer metadata recorded by ISECC. Particle diameter was defined as the x,y distance along the icosahedral fivefold axis between pentavalent capsomers on opposite sides of the capsid. In order to minimize unmeasurable distances out of the image plane, this analysis was necessarily limited to particles where the polar-opposite fivefold capsomers lay within the same z plane, allowing a 5% radial tolerance (12.9 Å) from z = 0 (Fig. 5A). A diameter difference ratio was calculated for each qualifying capsid (see “Methods” section). Based on the icosahedrally averaged map diameter of 575 Å, the 95th percentile (0.988–1.017) corresponded to capsid diameters ranging from approximately 568–585 Å, consistent with the variability of individual capsids observed in the micrographs (Fig. 5B, S. Figure 1A). These results are more precise, but consistent with previous efforts to classify HPV into classes with discrete diameters22.

Figure 5.

Figure 5

Capsid diameters. (A, left) From a cryo EM micrograph, an example of a particle oriented with opposing pentavalent capsomers in the Z = 0 plane (within a tolerance, see “Methods” section). (A, center) The same particle also illustrated in a 3D surface rendered model (gray) and outlined with icosahedral cage (black line) with opposing pentavalent capsomers indicated (purple spheres). The particle origin and orientation found during icosahedral refinement, determines the idealized capsomer locations. (A, right) Local subparticle refinement identifies the actual capsomer centers, which allows calculation of the deviation (black arrowheads) of the diameter along the given axis from expected values. (B) A gaussian distribution of capsid diameters (black curve) is evident after pooling all qualifying particles. A standard deviation of 0.9% corresponds to ~ 4.6 Å, or 4.2 pixels at a pixel size of 1.1 Å.

Capsids have imperfect icosahedral symmetry

In addition to the improved resolution, local subvolume refinement allowed a determination of capsomer centers and orientations for the first time. The movement of capsomers relative to their icosahedrally-forced (idealized) parameters suggests flexibility. The corrected capsomer centers were used to evaluate the relative motions of capsomers within the imperfectly icosahedral HPV capsids. Capsomer movement was evaluated for all hexavalent subparticles within 25 Å of x,y distance from the particle center. This criterion was selected to maximize lateral, in-plane movement of capsomers and limit out-of-plane motion, reflected in defocus, that cannot be recovered using local refinement. An additional filter was used to exclude any capsomer whose icosahedrally-derived center was within 15 Å x,y distance of another, such as capsomers on the front and back of the capsid, as the identities of such capsomers could be confused during local refinement (see “Methods” section). For each qualifying hexavalent subparticle, the distances to all six neighboring capsomer centers were calculated based on their locally refined coordinates (Fig. 6A). These x,y distances were compared to the z-flattened icosahedrally averaged distances (Fig. 6B). The locally refined distances varied from the idealized values with a standard deviation of approximately 4%. Each of the four unique patterns of arm-exchange were defined for analysis as the hexavalent-pentavalent axis (A:F exchange); the fivefold-adjacent hexavalent-hexavalent axis (unidirectional B arm contribution); the threefold-adjacent hexavalent-hexavalent axis (C:D exchange); and the twofold hexavalent-hexavalent axis (E:E exchange). Each axis showed a similar pattern of deviation with expansion or contraction of 6–7% (95th percentile range). There was no obvious correlation of distance deviations for a given grouping of capsomers (e.g. all contracted or all expanded).

Figure 6.

Figure 6

Inter-capsomer distances. (A, left) An example of a particle oriented in one of the cryo EM micrographs so that it met the selection criteria (Methods) for capsomer distance analysis. (A, center) The same particle also illustrated in a 3D surface rendered model (gray) and outlined with icosahedral cage (black line) with a reference capsomer (white sphere) indicated centrally in the hexavalent capsomer. Relative to the reference, there are four different arm configurations: the hexavalent-pentavalent axis (A:F arm exchange) (purple); the fivefold-adjacent hexavalent-hexavalent axis (unidirectional B arm contribution) (blue); the threefold-adjacent hexavalent-hexavalent axis (C:D exchange) (green); and the twofold hexavalent-hexavalent axis (E:E exchange) (orange). The particle origin and orientation found during icosahedral refinement determined the idealized capsomer locations. (A, right) Local subparticle refinement found the correct capsomer centers (black arrowhead), which then can be used to determine the deviation from the icosahedrally-derived, idealized parameters. (B) Deviation of inter-capsomer distances from idealized values were plotted and the ratios corresponded to contraction (values < 1) or expansion (> 1). The four unique axes of arm configurations as defined above were plotted. Each axis shows a similar, non-Gaussian pattern of deviation (Gaussian fit, black curve) with a standard deviation of ~ 4%. Values and schematic for the example particle are shown at right.

Flexibility analysis suggested that variation in capsid diameter is due to variable contraction or expansion of the flexible C-terminal arms linking the capsomers, which in turn move as rigid bodies. This is consistent with the poor resolution of residues 431–439, found in the connecting arms, that was seen in all chains of the asymmetric unit in both the icosahedrally refined and locally refined maps. However, we saw no evidence suggesting that any one capsomer-to-capsomer linkage is more or less flexible than another. This observation is surprising considering some capsomers are paired by donation of a single arm (chain B:Null), whereas others are linked by bidirectional arm exchange (chain E:E, A:F, & C:D) (Fig. 6B).

Discussion

Previous icosahedral reconstructions of papillomaviruses never surpassed ~ 4.3 Å resolution22. This resolution limitation cannot be directly attributed to the use of VLPs with unauthentic genome (quasi or pseudovirus), as studies with native papillomavirus have encountered the same resolution barrier, suggesting papillomaviruses are inherently flexible44. Future studies with native virus will allow for analysis of the impact authentic genome may have on the overall flexibility of the capsid. Here we show that even with recent improvements in cryo EM hardware and software for whole particle sorting, classification, and averaging, the resolution has not improved. However, we found that HPV responded well to a subparticle refinement approach that isolated individual capsomers for local refinement. Thus, we were able to improve the resolution from 4.5 to 3.1 Å. The maps of individual capsomers were subsequently recombined to create a 3.1 Å resolution model of the complete icosahedral virus capsid. The high resolution and the structure of the L1 asymmetric unit allowed us to better understand the different conformations of the connecting arms that link capsomers. Although each L1 chain is chemically identical, each 37 amino acid loop makes a different connection to its neighboring capsomer, due to quasi-equivalence. When looking at the six chains of the asymmetric unit, the low RMSD of the L1 capsomer cores, compared to the higher RMSD of the connecting arms, suggests that the L1 core secondary structure is conserved whereas the arms have different conformations. One thing that is consistent in all chains of L1 within the asymmetric unit is the modest resolution of His431 to Asp439, which are solvent exposed on the surface of the virus, and the poor resolution is likely attributed to those nine amino acids being a source of flexibility.

The near atomic resolution of the map allowed us to identify protein-like density unfilled by L1, which corresponded to the minor capsid protein, L2. In our map we can see clear separation between the L1 chain and regions of putative L2, which have likely been stabilized by their interactions with L1. Notably, there is a high sequence conservation of the flanking L1 residues that interact with L2 in these regions. However, the putative L2 density is not as strong as L1 in either location although the magnitude of putative L2 density is stronger in the pentavalent than the hexavalent capsomer (S. Figure 3). Size constraints of the capsomer pore would prevent incorporation of five copies of L2 in any one capsomer thus indicating a symmetry mismatch between L1 and L2. We estimate that one or two L2 proteins could fit under each capsomer, consistent with the putative L2 density magnitude compared to L1. Unfortunately, multiple attempts at 3D classifications failed to solve a symmetry mismatch between L1 and L2 and produce continuous density between the L2 fragments that we see. This implies L2 may possess significant disordered stretches between the resolved regions that are ordered by L1 interactions.

Variability in previous L2 stoichiometry studies suggests that L2 is probably asymmetrically incorporated within the capsid and there may be a range in copy number of L2 proteins per individual capsid within a population. Our results suggest that L2 can be incorporated into the core of any capsomer, but is more prevalent under the pentavalent capsomers, as indicated by stronger density in these capsomer environments. However, we cannot rule out that L2 is missing altogether from some capsomers. The wide variability prevents an estimation of the stoichiometry of L2 which may differ among capsids as discussed above. Our ability to resolve only small segments of putative L2 further suggests that the overall structure of L2 is largely disordered, with resolved segments ordered by their interactions with L1.

Different HPV capsid diameters are obvious by eye in the micrographs and have been recorded previously by Guan et al. 2017, but attempts to overcome the heterogeneity by sorting into discrete classes, failed to achieve better than 4.3 Å resolution22. Previously, heterogeneity was attributed to the maturation of the capsid, specifically in the disulfide bonds of the C-terminal extensions (connecting arms) between capsomers22. Because subparticle refinement was able to determine the true center of each capsomer, we were able to use these new values to determine the actual diameter of each capsid on a per particle basis using ISECC_local_motions.py script (see “Methods” section). Here, we demonstrated a measurable contraction and expansion of capsids relative to the icosahedrally-enforced average. The 95th percentile encompasses a range from − 1.2 to 1.7% (17 Å), covering 15.5 pixels under our imaging conditions. This range is broad enough that the observed variation cannot be attributed solely to optical aberrations, imprecise Euler angle assignment, or reference-drift during subparticle refinement. Notably, refinement of higher order aberrations, magnification anisotropy, and per-particle defocus parameters failed to improve resolution during whole particle icosahedral refinement.

Additionally, the metadata labels implemented in ISECC were used to track deviations in the location of discrete capsomers with respect to their neighbors compared to their expected location in perfect icosahedral symmetry. We showed that inter-capsomer distances, governed by the connecting arms, can expand or contract by up to 7% (95th percentile, range of about 7–9 Å in either direction) from their idealized values, without bias in the magnitude or direction of capsomer movement (Fig. 6). This flexion between capsomers provides the basis for the capsid-wide variability seen in the diameter analysis.

Although dynamics information cannot be conclusively derived from a vitrified population, each particle may represent a state within an equilibrium of particles in solution. These states, described for the first time by ISECC, provide a source of experimental capsid dynamics data that could contribute to whole-capsid molecular dynamics simulations such as described by Hadden et al. in hepatitis B virus45. We propose a model in which the HPV capsid is dynamic and in a state of constant flexing. This model is supported by the composition of stable beta-jellyroll capsomer cores with flexibility stemming from the connections between these capsomers. The classification of different diameter particles likely failed because the intercapsomer flexing is global and variable, not by symmetrical coordinated movements. Thus, even for particles with the same diameter, the capsids have different configurations due to the flexing between capsomers that creates imperfect icosahedral symmetry. These elements of heterogeneity include a continuous range of different diameters due to deviations of capsomer positions from a perfect icosahedral grid, which has likely limited the resolution attained through whole-capsid refinement.

The observed dynamics may be a natural consequence of the architecture of the T = 7d icosahedral capsid that requires L1 to exist in hexavalent and pentavalent environments. However, there are a multitude of possible benefits to a dynamic capsid that allows reversible expansion and contraction. This flexing could serve as a defense mechanism to hide or alter antibody binding sites, inhibiting recognition and preventing binding and neutralization. Capsid flexibility also has the potential to make HPV more resilient to environmental factors such as pH, temperature, or desiccation. Mechanistically, dynamics are certainly necessary for the conformational changes that are known to occur during host cell entry. Lastly, in the final stages of the virus life cycle, mature virions pack within the nucleus in a paracrystalline array of compact capsids that are significantly smaller diameter than when observed after lysis in suspension. Thus, capsid flexibility is an intriguing and essential factor to papillomavirus function.

Until now, high resolution structures of HPV have been unattainable. By using subparticle refinement approaches we demonstrated that high resolution is achievable. The new, more accurate L1 structure revealed putative L2 density flanking the conserved 306-loop of L1. We also found that the HPV capsids are globally flexible with capsomers moving as rigid bodies. These findings provide a framework for continuing structural, biochemical, genetic, and biophysical studies of HPV. These new observations on capsid flexibilities containing rigid capsomer units paves the way for design of HPV capsid platforms that can deliver foreign antigenic epitopes engineered for the development of second-stage vaccines (e.g. L2 insertions into L1 sequences, Schellenbacher et al.46). The design of stable antigenic epitope-expressing HPV particles will be improved with the cryo EM structural analyses presented in this study, and lead to in silico rational design and selection of stable VLP vectors for vaccines and gene-therapy deliverables.

Methods

Preparation of virus

HPV16 quasivirus containing L1 and L2 proteins and encapsidating a CRPV genome having the SV40 origin of replication was prepared as described previously4749. In brief, HPV16 sheLL plasmid (kindly provided by John Schiller, NIH) was transfected together with linear CRPV/SV40ori DNA into 293TT cells and prepared as described previously14,15,50. HPV16 was allowed to mature and then pelleted by centrifugation. The centrifuged pellet was resuspended in 1 M NaCl and 0.2 M Tris (pH 7.4). After CsCl gradient purification, the lower band was collected. The lower band was then added to CsCl for another round for ultracentrifugation to separate full from empty virus particles. The lower band was collected, concentrated, and buffer exchanged using a 100KDa cutoff spin column as described previously22,23. The concentrated HPV16 quasivirus particles were applied to 300 mesh carbon coated copper grids and stained with 2% phosphotungstic acid. The sample was analyzed for integrity and concentration on an FEI Tecnai G2 Spirit BioTwin transmission electron microscope.

Cryo-EM data collection

The HPV16 sample was assessed for purity and concentration before vitrification for cryo-EM data collection on the Penn State Titan Krios (https://www.huck.psu.edu/core-facilities/cryo-electron-microscopy-facility/instrumentation/fei-titan-krios). 3.5 µl of the purified virus sample was pipetted onto a glow-discharged R2/1 Quantifoil grid (Quantifoil Micro Tools GmbH, Jena, Germany), blotted for 2.5 s, and plunge-froze in liquid ethane using a Vitrobot Mark IV (Thermo Fisher, USA). Vitrified grids were imaged with the use of a Titan Krios G3 (Thermo Fisher, USA) under automated control of the FEI EPU software. An atlas image was taken at 165 × magnification, and suitable areas were selected for imaging on the FEI Falcon 3EC direct electron detector. The microscope was operated at 300 kV with a 70 μm condenser aperture and a 100 μm objective aperture. Magnification was set at 59,000 × yielding a calibrated pixel size of 1.1 Å. Four, nonoverlapping exposers were acquired per each 2-um-diameter hole of the grid with the beam in parallel mode, for an overall collection of 10,143 micrographs. The total dose per exposure was set to 60 e2 (Supp. Table 1).

Icosahedral refinement

Icosahedral refinement was performed in cryoSPARC51. The micrographs underwent full frame motion correction and CTF estimation (CTFFIND4)52. Micrographs were curated and sorted to reject micrographs with crystalline ice. Particles were picked using 2D templates from 840 particles. Local motion correction was performed on the particle stack and the CTF estimated micrographs. The particles underwent 2D and 3D classification in order to select only for particles containing internal (genome) density. The resulting particles then went into a homogenous refinement. The final resolution was determined by gold standard FSC threshold of 0.143.

Icosahedral subparticle extraction and correlated classification

ISECC_subparticle_extract was used after icosahedral refinement to divide each particle image into subparticles. Both hexavalent and pentavalent capsomer subparticle were separately created. An initial model was made for each subparticle type using relion_reconstruct with 10,000 subparticles53. The subparticles were then processed in RELION v3.153.

Local subparticle refinement

Pentavalent subparticles were locally refined with C5 symmetry whereas hexavalent C1 was used to refine the pentavalent subparticles. Each subparticle dataset was refined with a spherical mask of 200 Å applied to focus on the capsomer and adjoining arms. The final resolutions were determined by gold standard FSC with a threshold of 0.143 in RELION post-process. Local resolution maps were generated using RELIONs own software.

Icosahedral recombined map

Postprocessed subparticle maps were recombined into a complete capsid using ISECC_recombine. This procedure is similar to the recombination process for subparticles in Block Based Reconstruction and LocalRec36,37,40.

Briefly, ISECC_recombine loads the subparticle maps into a numpy array and both shifts and rotates the maps to their locations in an idealized icosahedron, using regular grid interpolation in real space. This interpolation scheme allows merging of the subparticle-refined models into a single asymmetric unit.

Model building

The previously solved L1 structure (PDB: 5KEP) was used to initiate the build22.

The model was visually inspected and adjusted during iterative refinement before a final validation54,55. The L1 protein structure from HPV16 (PDB: 5KEP) was used as an initial model. The asymmetric unit PDB was used to create a protein structure for the pentavalent and hexavalent capsomers. The hexavalent capsomer was made from chains B–F of the existing PDB and the pentavalent capsomer model was made from 5 copies of chain A from the asymmetric unit. These models were fit into the electron density map of the pentavalent and hexavalent capsomers independently in Chimera56. The protein structure of L1 was then refined in real space against the cryo-EM electron density map in Phenix with geometry and secondary structural restraints54. The structure was visually inspected and manually refined in Coot and validated using MolProbity55,57 (Supp. Table 1). The protein structures RMSD values were calculated using MatchMaker in Chimera56.

Icosahedral Subparticle Extraction & Correlated Classification (ISECC)

ISECC is a Python-based subparticle extraction package inspired by localized reconstruction and block-based reconstruction, compatible with RELION 3.136,37. This allows the user to take advantage of higher order aberration correction within the updated RELION CtfRefine pipeline.

Subparticles are generated according to the following parameters: --vector (atomic coordinate, in angstroms, for the subparticle center), --roi (region of interest: fivefold, threefold, twofold, or fullexpand), --subpart_box (box size for the subparticle images, in pixels), --supersym (symmetry of the whole particle: I1 or I2).

ISECC introduces several new metadata labels to the RELION 3.1 star file to enable correlated analysis of subparticles after local refinement or classification. For the idealized icosahedron, each vertex is given a designation, rlnCustomVertexGroup, containing the symmetry axis and an integer (e.g., 5f01) (SFig 4). If the chosen subparticle is off a strict symmetry axis, rlnCustomVertexGroup is defined according to the nearest three symmetry axes, e.g., 5f07.3f14.2f20. Given that each symmetry axis has multiple associated subparticles (5 per fivefold, etc.), each subparticle is additionally given a rotational specifier (a–e, a–c, or a–b), ordered anti-clockwise about the local symmetry axis. As such, the complete rlnCustomVertexGroup specifier for an off-axis subparticle takes a form such as 5f07e.3f14c.2f20a. This allows grouped analysis of, for example, all five subparticles belonging to local vertex 5f07 for a given viral particle.

Metadata label rlnCustomOriginXYZAngstWrtParticleCenter contains information on the icosahedrally refined offset of each subparticle in X,Y,Z with respect to the whole particle center. rlnCustomRelativePose contains the relative pose of the subparticle with respect to the icosahedrally refined orientation. rlnCustomRelativePose is stored in quaternion format rather than the standard RELION Euler angles, rlnAngleRot, rlnAngleTilt, rlnAnglePsi.

Local refinement of pentavalent and hexavalent capsomers

Pentavalent and hexavalent capsomers were extracted in ISECC using the following commands, respectively:graphic file with name 41598_2021_83076_Figa_HTML.jpg

Correlation of locally refined capsomers coordinates

Correlational analysis was performed using the ISECC_local_motions script. Briefly, this parses the locally refined pentavalent and hexavalent capsomer star files to evaluate local deltas for subparticle origins and poses as compared to their idealized, icosahedrally derived, starting values. Coupled with the new metadata identifiers, rlnCustomVertexGroup and rlnCustomOriginXYZAngstWrtParticleCenter, this identifies deviation of each capsomer from idealized icosahedral symmetry on a per-particle basis.

Deviation in particle diameter was calculated for all particles that satisfied selection criteria, namely, a pair of pentavalent capsomers within ± 5% (12.9 Å) of the central plane (Z = 0), where zmax corresponded to the particle radius as defined by the distance between the center of capsomer and the particle center. Despite a 5% tolerance being larger than necessary for a dataset of this size, it was chosen to allow for easy comparison to future datasets with a more modest particle number. This geometry minimizes contribution to distance along the Z-axis, which unlike X or Y cannot be locally refined. These capsomers are easy identified using the Z parameter within rlnCustomOriginXYZAngstWrtParticleCenter. The locally refined XY distance between polar opposite pentavalent capsomers was calculated for the 50,224 qualifying particles and compared to the Z-flattened icosahedrally-derived distance, producing a difference ratio. It is important to note that this analysis cannot capture the Z-component of any diameter deviation, necessitating the selection criteria described above.

Capsomer distance analysis was conducted on all particles with a hexavalent subparticle center within 25 Å x,y distance of the whole particle center. Capsomers with a potential doppelganger within 15 Å x,y distance on the opposite face of the capsid were excluded from this analysis to avoid the risk of subparticle identity swap during local refinement. Neighboring subparticles were then identified using the rlnCustomVertexGroup parameter, allowing the geometric relationships between capsomers to be distinguished (see the four relationships listed in Fig. 6B). The locally-refined x,y distance for each pair of qualifying capsomers (A:F 38,238, B:Null 77,566, C:D 75,468, E:E 42,228) was divided by the icosahedrally-derived x,y distance (dropping the z coordinate) to produce an in-plane ratio corresponding to contraction or expansion along the given axis.

Supplementary Information

Acknowledgements

This work was supported in part by the J. Gittlen Memorial Golf Tournament and the Pennsylvania Department of Health CURE funds.

Author contributions

D.J.G., S.R.H., N.D.C., and S.L.H. conceived the study. S.S. expressed and purified virus. C.M.B. vitrified the sample and collected cryo EM data. D.J.G. designed and developed the custom software. SRH solved the structures and built the models. D.J.G., S.R.H., and S.L.H. interpreted the data. D.J.G., S.R.H., N.D.C., and S.L.H. wrote the manuscript.

Data availability

The HPV structures of the 3.1 Å recombined map, pentavalent capsomer map, hexavalent capsomer map, and 4.4 Å icosahedral refinement have been deposited in the EM database (EMD-23081) (http://www.emdatabank.org/). Coordinates for the atomic model of the asymmetric unit of HPV16 L1 proteins (PDB: 7KZF) have been deposited in the protein data bank (https://www.rcsb.org/). ISECC, our custom software for subparticle extraction and correlated classification, is available on GitHub (https://github.com/goetschius/isecc).

Competing interests

The authors declare no competing interests.

Footnotes

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

These authors contributed equally: Daniel J. Goetschius and Samantha R. Hartmann.

Supplementary Information

The online version contains supplementary material available at 10.1038/s41598-021-83076-5.

References

  • 1.Walboomers JMM, et al. Human papillomavirus is a necessary cause of invasive cervical cancer worldwide. J. Pathol. 1999;189:12–19. doi: 10.1002/(SICI)1096-9896(199909)189:1&#x0003c;12::AID-PATH431&#x0003e;3.0.CO;2-F. [DOI] [PubMed] [Google Scholar]
  • 2.Crow JM. HPV: the global burden. Nature. 2012;488:S2–3. doi: 10.1038/488S2a. [DOI] [PubMed] [Google Scholar]
  • 3.Bosch FX, et al. Prevalence of human papillomavirus in cervical cancer: a worldwide perspective. J. Natl. Cancer Inst. 1995;87:796–802. doi: 10.1093/jnci/87.11.796. [DOI] [PubMed] [Google Scholar]
  • 4.Lewis A, Kang R, Levine A, Maghami E. The new face of head and neck cancer: the HPV epidemic. Oncol. Williston Park N. 2015;29:616–626. [PubMed] [Google Scholar]
  • 5.Lydiatt, W. M. et al. Head and Neck cancers-major changes in the American Joint Committee on cancer eighth edition cancer staging manual. CA Cancer J. Clin.67, 122–137 (2017). [DOI] [PubMed]
  • 6.zur Hausen H. Human papillomaviruses in the pathogenesis of anogenital cancer. Virology. 1991;184:9–13. doi: 10.1016/0042-6822(91)90816-T. [DOI] [PubMed] [Google Scholar]
  • 7.Hammer A, Rositch A, Qeadan F, Gravitt PE, Blaakaer J. Age-specific prevalence of HPV16/18 genotypes in cervical cancer: a systematic review and meta-analysis. Int. J. Cancer. 2016;138:2795–2803. doi: 10.1002/ijc.29959. [DOI] [PubMed] [Google Scholar]
  • 8.Dickson EL, Vogel RI, Luo X, Downs LS. Recent trends in type-specific HPV infection rates in the United States. Epidemiol. Infect. 2015;143:1042–1047. doi: 10.1017/S0950268814001538. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Roden RBS, Stern PL. Opportunities and challenges for human papillomavirus vaccination in cancer. Nat. Rev. Cancer. 2018;18:240–254. doi: 10.1038/nrc.2018.13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.de Martel C, Georges D, Bray F, Ferlay J, Clifford GM. Global burden of cancer attributable to infections in 2018: a worldwide incidence analysis. Lancet Glob. Health. 2020;8:e180–e190. doi: 10.1016/S2214-109X(19)30488-7. [DOI] [PubMed] [Google Scholar]
  • 11.Hernandez BY, Ton T, Shvetsov YB, Goodman MT, Zhu X. Human papillomavirus (HPV) L1 and L1–L2 virus-like particle-based multiplex assays for measurement of HPV virion antibodies. Clin. Vaccine Immunol. CVI. 2012;19:1348–1352. doi: 10.1128/CVI.00191-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Kirnbauer R, Booy F, Cheng N, Lowy DR, Schiller JT. Papillomavirus L1 major capsid protein self-assembles into virus-like particles that are highly immunogenic. Proc. Natl. Acad. Sci. U. S. A. 1992;89:12180–12184. doi: 10.1073/pnas.89.24.12180. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Kirnbauer R, et al. Efficient self-assembly of human papillomavirus type 16 L1 and L1–L2 into virus-like particles. J. Virol. 1993;67:6929–6936. doi: 10.1128/JVI.67.12.6929-6936.1993. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Buck CB, Thompson CD, Pang Y-YS, Lowy DR, Schiller JT. Maturation of papillomavirus capsids. J. Virol. 2005;79:2839–2846. doi: 10.1128/JVI.79.5.2839-2846.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Buck CB, Pastrana DV, Lowy DR, Schiller JT. Generation of HPV pseudovirions using transfection and their use in neutralization assays. Methods Mol. Med. 2005;119:445–462. doi: 10.1385/1-59259-982-6:445. [DOI] [PubMed] [Google Scholar]
  • 16.Christensen ND. Cottontail rabbit papillomavirus (CRPV) model system to test antiviral and immunotherapeutic strategies. Antivir. Chem. Chemother. 2005;16:355–362. doi: 10.1177/095632020501600602. [DOI] [PubMed] [Google Scholar]
  • 17.Buck CB, et al. Arrangement of L2 within the papillomavirus capsid. J. Virol. 2008;82:5190–5197. doi: 10.1128/JVI.02726-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Finch JT, Klug A. The structure of viruses of the papilloma-polyoma type 3. Structure of rabbit papilloma virus, with an appendix on the topography of contrast in negative-staining for electron-microscopy. J. Mol. Biol. 1965;13:1–12. doi: 10.1016/S0022-2836(65)80075-4. [DOI] [PubMed] [Google Scholar]
  • 19.Sapp M, Fligge C, Petzak I, Harris JR, Streeck RE. Papillomavirus assembly requires trimerization of the major capsid protein by disulfides between two highly conserved cysteines. J. Virol. 1998;72:6186–6189. doi: 10.1128/JVI.72.7.6186-6189.1998. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Chen XS, Garcea RL, Goldberg I, Casini G, Harrison SC. Structure of small virus-like particles assembled from the L1 protein of human papillomavirus 16. Mol. Cell. 2000;5:557–567. doi: 10.1016/S1097-2765(00)80449-9. [DOI] [PubMed] [Google Scholar]
  • 21.Dasgupta J, et al. Structural basis of oligosaccharide receptor recognition by human papillomavirus. J. Biol. Chem. 2011;286:2617–2624. doi: 10.1074/jbc.M110.160184. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Guan J, et al. Cryoelectron microscopy maps of human papillomavirus 16 reveal L2 densities and heparin binding site. Structure. 2017;25:253–263. doi: 10.1016/j.str.2016.12.001. [DOI] [PubMed] [Google Scholar]
  • 23.Guan J, et al. Structural comparison of four different antibodies interacting with human papillomavirus 16 and mechanisms of neutralization. Virology. 2015;483:253–263. doi: 10.1016/j.virol.2015.04.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Cardone G, et al. Maturation of the human papillomavirus 16 capsid. mBio. 2014;5:e01104–e1114. doi: 10.1128/mBio.01104-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Baker TS, et al. Structures of bovine and human papillomaviruses. Analysis by cryoelectron microscopy and three-dimensional image reconstruction. Biophys. J. 1991;60:1445–1456. doi: 10.1016/S0006-3495(91)82181-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Guan J, et al. The U4 antibody epitope on human papillomavirus 16 identified by cryo-electron microscopy. J. Virol. 2015;89:12108–12117. doi: 10.1128/JVI.02020-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Lee H, et al. A cryo-electron microscopy study identifies the complete H16.V5 epitope and reveals global conformational changes initiated by binding of the neutralizing antibody fragment. J. Virol. 2015;89:1428–1438. doi: 10.1128/JVI.02898-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Lowe J, et al. Evolutionary and structural analyses of alpha-papillomavirus capsid proteins yields novel insights into L2 structure and interaction with L1. Virol. J. 2008;5:150. doi: 10.1186/1743-422X-5-150. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Okun MM, et al. L1 Interaction domains of papillomavirus L2 necessary for viral genome encapsidation. J. Virol. 2001;75:4332–4342. doi: 10.1128/JVI.75.9.4332-4342.2001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Doorbar J, Gallimore PH. Identification of proteins encoded by the L1 and L2 open reading frames of human papillomavirus 1a. J. Virol. 1987;61:2793–2799. doi: 10.1128/JVI.61.9.2793-2799.1987. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Trus BL, et al. Novel structural features of bovine papillomavirus capsid revealed by a three-dimensional reconstruction to 9 A resolution. Nat. Struct. Biol. 1997;4:413–420. doi: 10.1038/nsb0597-413. [DOI] [PubMed] [Google Scholar]
  • 32.Bronnimann MP, Chapman JA, Park CK, Campos SK. A transmembrane domain and GxxxG motifs within L2 are essential for papillomavirus infection. J. Virol. 2013;87:464–473. doi: 10.1128/JVI.01539-12. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Raff AB, et al. The evolving field of human papillomavirus receptor research: a review of binding and entry. J. Virol. 2013;87:6062–6072. doi: 10.1128/JVI.00330-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Goetschius DJ, Parrish CR, Hafenstein S. Asymmetry in icosahedral viruses. Curr. Opin. Virol. 2019;36:67–73. doi: 10.1016/j.coviro.2019.05.006. [DOI] [PubMed] [Google Scholar]
  • 35.Bai X, McMullan G, Scheres SHW. How cryo-EM is revolutionizing structural biology. Trends Biochem. Sci. 2015;40:49–57. doi: 10.1016/j.tibs.2014.10.005. [DOI] [PubMed] [Google Scholar]
  • 36.Ilca SL, et al. Localized reconstruction of subunits from electron cryomicroscopy images of macromolecular complexes. Nat. Commun. 2015;6:8843. doi: 10.1038/ncomms9843. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Zhu D, et al. Pushing the resolution limit by correcting the Ewald sphere effect in single-particle Cryo-EM reconstructions. Nat. Commun. 2018;9:1552. doi: 10.1038/s41467-018-04051-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Goetschius DJ, Lee H, Hafenstein S. CryoEM reconstruction approaches to resolve asymmetric features. Adv. Virus Res. 2019;105:73–91. doi: 10.1016/bs.aivir.2019.07.007. [DOI] [PubMed] [Google Scholar]
  • 39.Guan J, et al. High-resolution structure analysis of antibody V5 and U4 conformational epitopes on human papillomavirus 16. Viruses. 2017;9:374. doi: 10.3390/v9120374. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Abrishami V, et al. Localized reconstruction in Scipion expedites the analysis of symmetry mismatches in cryo-EM data. Prog. Biophys. Mol. Biol. 2020 doi: 10.1016/j.pbiomolbio.2020.05.004. [DOI] [PubMed] [Google Scholar]
  • 41.Panatto D, et al. Human papillomavirus vaccine: state of the art and future perspectives. Adv. Protein Chem. Struct. Biol. 2015;101:231–322. doi: 10.1016/bs.apcsb.2015.08.004. [DOI] [PubMed] [Google Scholar]
  • 42.Crooks GE, Hon G, Chandonia J-M, Brenner SE. WebLogo: a sequence logo generator. Genome Res. 2004;14:1188–1190. doi: 10.1101/gr.849004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ. Basic local alignment search tool. J. Mol. Biol. 1990;215:403–410. doi: 10.1016/S0022-2836(05)80360-2. [DOI] [PubMed] [Google Scholar]
  • 44.Wolf M, Garcea RL, Grigorieff N, Harrison SC. Subunit interactions in bovine papillomavirus. Proc. Natl. Acad. Sci. U. S. A. 2010;107:6298–6303. doi: 10.1073/pnas.0914604107. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 45.Hadden, J. A. et al. All-atom molecular dynamics of the HBV capsid reveals insights into biological function and cryo-EM resolution limits. eLife7, e32478 (2018). [DOI] [PMC free article] [PubMed]
  • 46.Schellenbacher C, Roden R, Kirnbauer R. Chimeric L1–L2 virus-like particles as potential broad-spectrum human papillomavirus vaccines. J. Virol. 2009;83:10085–10095. doi: 10.1128/JVI.01088-09. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Brendle SA, Culp TD, Broutian TR, Christensen ND. Binding and neutralization characteristics of a panel of monoclonal antibodies to human papillomavirus 58. J. Gen. Virol. 2010;91:1834–1839. doi: 10.1099/vir.0.017228-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Pyeon D, Lambert PF, Ahlquist P. Production of infectious human papillomavirus independently of viral replication and epithelial cell differentiation. Proc. Natl. Acad. Sci. U. S. A. 2005;102:9311–9316. doi: 10.1073/pnas.0504020102. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Mejia AF, et al. Preclinical model to test human papillomavirus virus (HPV) capsid vaccines in vivo using infectious HPV/cottontail rabbit papillomavirus chimeric papillomavirus particles. J. Virol. 2006;80:12393–12397. doi: 10.1128/JVI.01583-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Pastrana DV, et al. Reactivity of human sera in a sensitive, high-throughput pseudovirus-based papillomavirus neutralization assay for HPV16 and HPV18. Virology. 2004;321:205–216. doi: 10.1016/j.virol.2003.12.027. [DOI] [PubMed] [Google Scholar]
  • 51.Punjani A, Rubinstein JL, Fleet DJ, Brubaker MA. cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination. Nat. Methods. 2017;14:290–296. doi: 10.1038/nmeth.4169. [DOI] [PubMed] [Google Scholar]
  • 52.Rohou A, Grigorieff N. CTFFIND4: fast and accurate defocus estimation from electron micrographs. J. Struct. Biol. 2015;192:216–221. doi: 10.1016/j.jsb.2015.08.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Scheres SHW. RELION: implementation of a Bayesian approach to cryo-EM structure determination. J. Struct. Biol. 2012;180:519–530. doi: 10.1016/j.jsb.2012.09.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Adams PD, et al. PHENIX: a comprehensive Python-based system for macromolecular structure solution. Acta Crystallogr. D Biol. Crystallogr. 2010;66:213–221. doi: 10.1107/S0907444909052925. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Emsley P, Lohkamp B, Scott WG, Cowtan K. Features and development of Coot. Acta Crystallogr. D Biol. Crystallogr. 2010;66:486–501. doi: 10.1107/S0907444910007493. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Pettersen EF, et al. UCSF Chimera—a visualization system for exploratory research and analysis. J. Comput. Chem. 2004;25:1605–1612. doi: 10.1002/jcc.20084. [DOI] [PubMed] [Google Scholar]
  • 57.Chen VB, et al. MolProbity: all-atom structure validation for macromolecular crystallography. Acta Crystallogr. D Biol. Crystallogr. 2010;66:12–21. doi: 10.1107/S0907444909042073. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Data Availability Statement

The HPV structures of the 3.1 Å recombined map, pentavalent capsomer map, hexavalent capsomer map, and 4.4 Å icosahedral refinement have been deposited in the EM database (EMD-23081) (http://www.emdatabank.org/). Coordinates for the atomic model of the asymmetric unit of HPV16 L1 proteins (PDB: 7KZF) have been deposited in the protein data bank (https://www.rcsb.org/). ISECC, our custom software for subparticle extraction and correlated classification, is available on GitHub (https://github.com/goetschius/isecc).


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