Abstract
Bacterial conjugation is the fundamental process of unidirectional transfer of DNAs, often plasmid DNAs, from a donor cell to a recipient cell1. It is the primary means by which antibiotic resistance genes spread among bacterial populations2,3. In Gram-negative bacteria, conjugation is mediated by a large transport apparatus—the conjugative type IV secretion system (T4SS)—produced by the donor cell and embedded in both its outer and inner membranes. The T4SS also elaborates a long extracellular filament—the conjugative pilus—that is essential for DNA transfer4,5. Here we present a high-resolution cryo-electron microscopy (cryo-EM) structure of a 2.8 megadalton T4SS complex composed of 92 polypeptides representing 8 of the 10 essential T4SS components involved in pilus biogenesis. We added the two remaining components to the structural model using co-evolution analysis of protein interfaces, to enable the reconstitution of the entire system including the pilus. This structure describes the exceptionally large protein–protein interaction network required to assemble the many components that constitute a T4SS and provides insights on the unique mechanism by which they elaborate pili.
Subject terms: Cryoelectron microscopy, Bacteriology
Cryo-electron microscopy structures of a 2.8 megadalton bacterial type IV secretion system encoded by the plasmid R388 and comprising 92 polypeptides provide insights into the stepwise mechanism of pilus assembly.
Main
Conjugative T4SSs generally contain 12 proteins, VirB1–VirB11 and VirD4 (also known as TrwB in the R388 T4SS under investigation here), one of which (VirB1 (also known as TrwN)) is non-essential6. Three ATPases, VirB4 (also known as TrwK), VirB11 (also known as TrwD) and VirD4, power the system5. Three proteins, VirB7 (also known as TrwH), VirB9 (also known as TrwF) and VirB10 (also known as TrwE), form the outer membrane core complex (OMCC), which contains an O-layer embedded in the outer membrane and an I-layer underneath7 (Extended Data Fig. 1a). The other proteins (except VirB2 (also known as TrwL), which forms the conjugative pilus and VirB5 (also known as TrwJ), which locates at the tip of the pilus) assemble to form three additional sub-complexes, which were revealed by two different low-resolution structural approaches, negative stain electron microscopy8,9 (NSEM) and in cellulo cryo-electron tomography10,11 (cryo-ET) (Extended Data Fig. 1a). These sub-complexes consist of an inner membrane complex (IMC) embedded in the inner membrane, a structure bridging the OMCC and the IMC (the stalk (also called the cylinder), and a ring complex surrounding the stalk (the arches) (Extended Data Fig. 1a). However, the two approaches reveal very different IMC architectures. NSEM provides a view of a double-barrelled IMC made of two side-by-side trimers of dimers (the barrels) of the AAA+ VirB4 ATPase, whereas cryo-ET shows a central hexamer of dimers of the same protein. Conjugative T4SSs must first produce a conjugative pilus, which makes contact with a recipient cell12 and may serve as a conduit for DNA13. In this pilus biogenesis mode, only the VirB2–VirB11 proteins are required14,15. After contact between cells is made, the T4SS switches to a DNA-transfer mode involving VirB2–VirB11 and VirD416.
Here we present a single-particle cryo-EM structure of a T4SS complex from the R388 plasmid that comprises all four sub-complexes: OMCC, stalk, arches and IMC (Fig. 1a–c and Extended Data Figs. 1 and 2). Near-atomic resolution was achieved for all except for the arches sub-complex (Extended Data Fig. 3 and Supplementary Table 1). However, VirD4, VirB11, and VirB2 were absent from the structure (see Extended Data Fig. 1b for the naming convention; see Methods and Extended Data Fig. 1c for details). It became apparent early on during data processing that the various sub-complexes displayed very different symmetry and oligomerization states (Extended Data Fig. 4a–f). The IMC is composed of six protomers, each including one VirB3 (also known as TrwM), two VirB4, and the three N-terminal tails of VirB8 (hereafter referred to VirB8tails; VirB8 is also known as TrwG). Three of these protomers are occupied to a significant degree, whereas the occupancy of the three others is weaker (Extended Data Fig. 4d). All protomers were related by an angle of 60° (Extended Data Fig. 4c,d). The IMC is thus a hexameric structure with compositional heterogeneity (that is, variable occupancy of its constituent protomers) as defined by Huiskonen17, thereby limiting our ability to observe interactions and transitions in situ. The arches, comprising the VirB8 periplasmic domains (VirB8peri), also form a hexameric assembly with variable occupancy (Extended Data Fig. 4c,d). The stalk is composed of pentamers of each VirB5 and VirB6 (also known as TrwI) (Extended Data Fig. 4e,f). The O-layer, which comprises full-length VirB7 and the C-terminal domains of VirB10 (VirB10CTD) and VirB9 (VirB9CTD), and the I-layer, composed of the N-terminal domains of these proteins (termed VirB10NTD and VirB9NTD, respectively) form tetradecameric and hexadecameric assemblies, respectively (Extended Data Fig. 4a,b). Using these models and associated maps (Extended Data Fig. 5 and Methods), we constructed a composite model of the entire T4SS (Fig. 1d).
The inner membrane complex
The IMC is 1.32 MDa in size and 295 Å in diameter (Fig. 2a). The main component of the IMC is the AAA+ VirB4 ATPase, for which 12 subunits are present. We first solved the structure of VirB4 in its unbound form (VirB4unbound) and fitted and rebuilt the structure within the IMC density (Methods and Extended Data Fig. 6a–c). In the IMC, six dimers of VirB4 come together to form a hexamer of dimers (Fig. 2a). One subunit (VirB4central) in each of the 6 dimers form a central hexamer with a diameter of 130 Å (Fig. 2). The second subunit of the dimers (VirB4outside; structurally very similar to VirB4central (Extended Data Fig. 6d)) protrudes out (in cyan blue in Fig. 2). This organization is similar to the architecture observed by low-resolution cryo-ET10,11,18 (Extended Data Figs. 1a and 4d). The dimer interface between VirB4central and VirB4outside is mediated entirely by the N-terminal domains of each subunit (Fig. 2b,c and Supplementary Table 2). By contrast, the interface between two adjacent VirB4central subunits in the central hexamer is spread out over both the N-terminal and C-terminal domains (Fig. 2a, Extended Data Fig. 6e and Supplementary Table 2).
VirB4unbound is also composed of dimers that have essentially the same structure as the VirB4central–VirB4outside dimer in the T4SS (Cα root mean squared deviation (r.m.s.d.) 1.2 Å; Extended Data Fig. 6a,f). However, in this unbound structure, part of the dimer interface is used to form trimers of dimers (Extended Data Fig. 6b,g), which when mapped onto our T4SS structure forms two barrels of trimers of dimers, as in the previously reported double-barrelled architecture8 (Extended Data Fig. 6h,i). Of note, a minority of the 2D classes in our cryo-EM data set displayed the typical side-views of the double-barrelled architecture observed in the NSEM structure (Extended Data Fig. 1f), indicating the presence of a small number of double-barrelled particles. Thus, the IMC protomer appears to provide a building block for the formation of various T4SS IMC assemblies.
The IMC includes two other components: VirB3 and VirB8tails (Fig. 2b and Extended Data Fig. 6c). VirB3 makes interactions only with the VirB4central subunit of the dimer, and consequently there are six VirB3 subunits in the entire T4SS (Fig. 2a,b). VirB3 wraps around the N-terminal domain of VirB4central (Fig. 2d and Supplementary Table 2). Three helices are present (α1–α3), two of which, α2 and α3, form TM segments through the inner membrane (Fig. 2d and Extended Data Fig. 6c). By contrast, VirB8tails interact only with the VirB4outside subunit of the dimer and three copies of each are observed per VirB4outside subunit (Fig. 2b); the IMC model thus includes 18 VirB8tails. Of the three VirB8tails bound to each VirB4outside subunit, two form a unique extended helix (VirB8tailsB and VirB8tailsC in Fig. 2b), whereas in VirB8tailsA, the N-terminal part adopts a very different conformation in which the helix is split into two helices with the N-terminal one being redirected to interact with other parts of VirB4outside (Fig. 2e). Only VirB8tailsA and VirB8tailsB interact substantially with the VirB4outside subunit, with VirB8tailsC making only sparse contact (Fig. 2b,e and Supplementary Table 2).
The stalk, arches and OMCC
The stalk, a previously unknown structure, is a central, cone-shaped assembly 0.29 MDa in size, with a diameter of 92 Å and a length of 216 Å. It arises from the inner membrane and is composed of a pentamer of VirB6 inserted into the inner membrane and a pentamer of VirB5 mounted onto the VirB6 stalk base (Fig. 3a,b). The VirB6 consists of seven long α-helices, five of which are mostly hydrophobic (α1, α2 and α5–α7) (Extended Data Fig. 7a,b). Two of these helices, α1 and α2, insert into the inner membrane. VirB6 subunits interact extensively with each other (Extended Data Fig. 7c and Supplementary Table 2). The VirB5 subunits also interact with each other (Extended Data Fig. 7d and Supplementary Table 2). Structures of VirB5 homologues crystallized as single proteins are available19,20 (Extended Data Fig. 7e). However, in its pentameric form, VirB5 appears to have undergone a conformational change compared with the protein on its own, with its N-terminal part projected out in a manner reminiscent of pore-forming proteins (Extended Data Fig. 7e). This function may be required to interact with the membrane of the recipient cell. Finally, one VirB5 binds between two VirB6 subunits (Extended Data Fig. 7f and Supplementary Table 2).
The arches (the composition and architecture of which were previously unknown) are composed of hexamers of homotrimeric units of VirB8peri, forming a 177 Å diameter ring around the stalk (Fig. 3a,c). A feature of the homotrimeric unit is how the three subunits (labelled MolA–MolC in Extended Data Fig. 7g) come together: the MolA–MolB interface is very different from that formed between MolB and MolC; the MolA–MolB interface is similar to the interface in the periplasmic domain of the Helicobacter pylori VirB8 paralogue, CagV21 (Cα r.m.s.d. 2.9 Å; Extended Data Fig. 7g, middle), whereas the the MolB–MolC interface is similar to the interface in Brucella suis VirB822 (Cα r.m.s.d. 2.2 Å; Extended Data Fig. 7g, right). Six VirB8peri homotrimeric units come together using the β1–β4 sheet on both sides (Extended Data Fig. 7h and Supplementary Table 2).
The OMCC is composed of the O-layer embedded in the outer membrane and the I-layer located underneath within the periplasm (Extended Data Fig. 8a). The structure of this sub-complex is very similar to that of the pKM101 plasmid O-layer23 and that of the Xanthomonas citri I-layer24 (details in Extended Data Fig. 8b–e), except that in X. citri, 14 VirB10NTD α1s were observed bound to 14 VirB9NTDs, whereas here we observe 16 such complexes. Thus, two heterodimeric VirB10NTD–VirB9NTD complexes insert into the I-layer (diametrically opposite, as shown in Extended Data Fig. 8f), whereas the C-terminal domains of these two complexes are not inserted in the O-layer. Similar symmetry mismatches have been reported between layers of the OMCC of other T4SSs25,26.
A surprising feature of the T4SS structure presented here is the paucity of interactions between sub-complexes (Fig. 3d). Contacts are observed between the stalk and the IMC through interactions between the TM segments of VirB6 and VirB3 (Extended Data Fig. 8g; Supplementary Table 2). However, some interactions are yet unaccounted for, which may contribute to interactions between sub-complexes (Extended Data Fig. 8h, i). Finally, a cut-away view of the entire complex surface reveals that there is no continuous central channel, suggesting that the architecture revealed here is not that executing DNA transfer (Fig. 3d). We hypothesize below that, instead, this structure captures the state of the T4SS responsible for pilus biogenesis.
Validation of the T4SS structure
Structural models are usually tested using site-directed mutagenesis of residues deemed to have important structural roles. However, more efficient and reliable methods for experimental structure validation are available, taking advantage of the fact that residues within interfaces are subjected to considerable evolutionary pressure27–29. Thus, we used TrRosetta30,31 to analyse the co-evolution of T4SS components (Methods and Supplementary Table 4). An example is shown for the VirB5–VirB6 interface (Fig. 3e). Residue pairs between proteins were ranked by TrRosetta scores and all pairs above a threshold of 70% of the score for the top-scoring pair were mapped and displayed on the structure of the stalk (Methods). All top-scoring pairs displayed in this way are located within the interface between the proteins (Fig. 3f), thereby validating our model. Regions of structures that do not interact score poorly compared with regions that do interact, providing internal validation of the co-evolution results. Similar results were obtained for the VirB3–VirB4central, VirB10CTD–VirB9CTD and VirB4–VirB8tails interactions (Extended Data Fig. 9a–c and Supplementary Table 4), suggesting that our structural models are accurate.
Mechanism of pilus biogenesis by T4SS
The conjugative T4SS functions as a pilus biogenesis machinery, elaborating a long polymer of VirB2–phospholipid units1,32. Prior to being assembled into a pilus, VirB2 subunits are located in the inner membrane32. Pilus assembly requires the VirB2 subunits to be extracted from the membrane through the concerted action of the VirB4 and VirB11 ATPases33,34.
VirB4 and VirB11 have been previously shown to interact using cryo-ET18,35. Using AlphaFold36, a deep learning method to predict 3D structures, we generated a model for the VirB4–VirB11 interaction for both R388 VirB4–VirB11 and the paralogue from the related pKM101 plasmid (TraB–TraG) (Extended Data Fig. 10a,b). The models were highly similar to our VirB4 structure and previous VirB11 structures37–39 (Extended Data Fig. 10a). Next, using TrRosetta, we obtained a list of co-evolving pairs of residues between VirB4 and VirB11 (Supplementary Table 4). All pairs with a TrRosetta score above the threshold of 70% of the score of the top-scoring pair (Supplementary Table 4) were mapped onto the AlphaFold-generated VirB4–VirB11 models (Extended Data Fig. 10b, middle). The paired residues all mapped onto the interface, providing a validation of the model. To provide further independent validation of the VirB4–VirB11 model, we co-purified the TraB–TraG complex (as R388 VirB4–VirB11 could not be purified as a stable complex) and assessed biochemically the effect of eight single interface residue mutations—four on TraB and four on TraG—on the stability of the interaction (Extended Data Fig. 10b,c). All 8 mutations significantly weakened the TraB–TraG interaction, thus providing further validation of the proposed structural model of VirB4–VirB11. As noted above, the IMC protomers are not equally occupied, and therefore VirB4 is unlikely to function as an ATPase before a full hexamer is formed. By contrast, VirB11 is a constitutively hexameric protein37,38. By binding to VirB4, it may therefore stabilize a full set of six IMC protomers, giving rise to a fully functional VirB4central ATPase capable of orchestrating pilus biogenesis. In that context, the role of VirB4outside remains unclear.
Conjugative pili are five-start helical assemblies of VirB2–phospholipid units32. The base of a pilus is made of five symmetrical VirB2–phospholipid complexes, a symmetry matching that of the T4SS stalk (Fig. 4a). Moreover, when the shape complementarity of the F TraA (VirB2) pentamer (there is no known structure of the R388 pilus) is assessed against the shape of the VirB6 pentamer using the shape-complementarity software Patchdock40, the ten top-scoring structures show the concave side of the VirB2 pentamer docking on top of VirB6 (Extended Data Fig. 10d), allowing the docking of the entire F pilus accordingly (Fig. 4b). Thus, we hypothesize that the pilus may locate between VirB5 and VirB6 (Extended Data Fig. 10e), consistent with reports describing VirB5 at the distal end of the pilus12. So placed, the pilus would grow from the concave end using VirB6 as a base. We propose that the surfaces of each of the five VirB6 subunits that make contact with the first VirB2 pentamer layer of the pilus may form the site of VirB2 assembly (Fig. 4c). To validate this site, we made three pairs of double mutants (Extended Data Fig. 10f–h), each to either acidic or hydrophobic residues. Since pilus biogenesis is essential for conjugation between bacteria to occur, these mutated T4SSs were tested for their ability to mediate conjugation (Fig. 4d). Notably, these mutants all displayed increasing conjugation rates (Fig. 4d), with substitution to hydrophobic residues having a more pronounced effect.
Before pilus biogenesis, VirB2 pilus subunits are embedded in the inner membrane. Given the C5 symmetry of the pilus and the fact that the only membrane protein that assembles into a C5 assembly is VirB6, we hypothesized that VirB6 may contain a binding or recruitment (binding/recruitment) site for VirB2 subunits. We therefore investigated the co-evolution between VirB2 and VirB6 using TrRosetta. VirB6 residues in all 50 top scoring pairs were located in the transmembrane α1 helix, making it a strong candidate to form a VirB2-binding/recruitment site (Fig. 4e and Extended Data Fig. 10i; full list in Supplementary Table 4). To test this hypothesis, we introduced three mutations in VirB6 α1 and its immediate vicinity (Extended Data Fig. 10f–h): these mutants exhibited decreased conjugation (Fig. 4d), consistent with the hypothesis that VirB6 α1 may contain the VirB2-binding/recruitment site. On the basis of TrRosetta analysis, another strong candidate to form a VirB2 binding site is VirB3 α1 (Extended Data Fig. 10j and Supplementary Table 4). However, VirB3 is hexameric, a symmetry that does not match the symmetry of the pilus. We therefore propose that VirB2 binding to VirB3 α1 may represent an intermediate binding station for VirB2 subunits.
The data presented here suggest a model for pilus biogenesis by T4SS whereby five VirB2 subunits bound to five VirB6 subunits (Fig. 4f) are levered up to the assembly site, while five more are recruited to the vacated binding sites. To further test this model, we introduced Trp residues between the binding/recruitment site and the assembly site, which may form steric obstacles (Trp blocks) affecting the translocation path of VirB2 subunits from their binding/recruitment site to their assembly site (Fig. 4d and Extended Data Fig. 10f–h): all mutants exhibited decreased conjugation, consistent with expectation. The previously described VirB2 dislocation function of VirB433 could comprise levering up VirB2 subunits from the recruitment site to the assembly site. The identities of the regions of VirB4 that act as a lever remain unclear. However, potential triggers may include binding of VirB1135 as well as ATP binding and/or hydrolysis. As layers of pentameric VirB2 are added, the pilus grows from the bottom, pushing the VirB5 pentamer out, passing through the arches, the I-layer (no conformational changes are needed (Extended Data Fig. 10k,l)), and finally through the O-layer channel, which is known to be flexible enough to open up7,23 (Extended Data Fig. 10k,l).
Thus, the near-atomic structure of a conjugative T4SSs presented here provides the structural basis for a plausible model for conjugative pilus biogenesis by T4SSs. Conjugative pili are crucial appendages, without which DNA transfer among bacterial populations would not occur and thus the structure also provides the means to develop anti-conjugation strategies (including the design of pilus assembly inhibitors) that could limit the spread of antibiotic resistance genes among pathogens.
Methods
Bacterial strains and constructs
Strains, plasmids, constructs and oligonucleotides used in this study are shown in Supplementary Table 3.
Expression and purification of T4SS
Plasmid pBADM11_trwN/virB1-trwE/virB10Strep_rbstrwD/virB11_rbsHistrwB/virD4 (a clone shown to mediate conjugation9) was used. Expression, detergent extraction and strep column purification was performed as described9. Next, the T4SS complex was concentrated by ultracentrifugation at 195,500 g for 1 h. The pellet was resuspended by overnight incubation at 4 °C with 400 µl of a buffer containing 50 mM HEPES pH 7.6, 200 mM sodium acetate, 0.1% digitonin, 0.05 mM tetradecyldimethylamineoxide (TDAO). The resuspended pellet was then loaded onto a 15-45% sucrose density gradient made in the same buffer and centrifuged at 99,223 g (using a SW40Ti rotor) at 4 °C for 18 h. Samples from the gradient were fractionated and analysed by SDS–PAGE. Fractions containing the T4SS were used for cryo-EM data collection after sucrose removal using a NAP10 column (Amersham).
Cloning, expression and purification of VirB4unbound
Coding regions of trwM/virB3 and trwK/virB4 were amplified using PCR from pMAK3 plasmid (R388) and cloned using BsaI restriction sites at the 5′ end on the primer to generate IBA3C:trwM/virB3-trwK/virB4C-Strep. Hcp1 amplified from the pET29b:hcp1C-His plasmid and L6 linker (GSGSGS) were subsequently cloned into IBA3C:trwM/virB3-trwK/VirB4C-Strep using In-Fusion cloning (Takara Bio) to yield IBA3C:trwM/virB3-trwK/virB4-L6-hcp1C-Strep, from which the VirB4-L6-HCP1 (termed VirB4unbound) protein was expressed and purified (VirB3 did not co-purify).
Cells were cultured in chloramphenicol (35 μg ml−1) containing LB medium at 37 °C until they reached absorbance at 600 nm (A600 nm) of 0.7 and induced overnight using 0.2 mg ml−1 anhydrotetracycline (Abcam) at 18 °C. Cells were then pelleted by centrifugation at 5,000 g for 30 min and resuspended in lysis buffer (50 mM Tris pH 8.0, 800 mM NaCl, 1 mM EDTA and 1 mM DTT) with 4 protein inhibitor cocktail tablets (Roche), 1 mg ml−1 hen egg lysozyme (Sigma) and 20 μl Benzonase-Nuclease (Sigma) followed by lysis in an EmulsiFlex-C3 high pressure homogenizer (Avestin). The lysate was clarified by centrifugation at 12,000 g for 30 min and the supernatant was loaded onto a GE Healthcare StrepTrap HP 5 ml column pre-equilibrated with buffer B (50 mM Tris pH 8.0, 400 mM NaCl, 2 mM EDTA and 2 mM DTT). For elution, buffer B was supplemented with 2.5 mM of desthiobiotin, peak fractions were pooled and purified further using the HiTrap Q-Sepharose HP anion exchange column (GE Healthcare) using a linear gradient of buffer C (50 mM Tris pH 8, 100 mM NaCl, 1 mM EDTA and 2 mM DTT) with 1 M NaCl. This was followed up by size exclusion chromatography using Superose-6 Increase 100/300 GL column (GE Healthcare) equilibrated with buffer D containing 50 mM Tris pH 8, 400 mM NaCl, 10 mM magnesium acetate and 2 mM DTT, peak fractions were analysed using SDS–PAGE, pooled, quantified, flash frozen and stored at −80 °C.
Assessment of the stability of the TraB–TraG complex in the presence of detergents
pCDFDuet-1 in which traB/virB4C-His and traG/virB11C-Strep were cloned was transformed into Escherichia coli BL21(DE3)*. The cells were cultured in Terrific Broth (Formedium) with spectinomycin (100 μg ml−1) (Sigma) at 37 °C until A600nm = 0.7 and induced overnight using 1 mM Isopropyl β-d-1-thiogalacto-pyranoside at 18 °C. The cells were then pelleted by centrifugation at 5,000 g for 30 min and resuspended in lysis buffer (50 mM Tris pH 8.0, 150 mM NaCl, 2 mM EDTA, 1 mM DTT) with 4 protein inhibitor cocktail tablets (Roche), 1 mg ml−1 hen egg lysozyme (Sigma) and 20 μl Benzonase–Nuclease (Sigma). After 30 min vortexing at 4 °C, cells were lysed by passing through EmulsiFlex-C3 high pressure homogeniser (Avestin). The lysate was clarified by centrifugation at 18,000 g for 30 min at 4 °C and the supernatant was loaded onto two GE Healthcare StrepTrap HP 5 ml columns, each preincubated with buffer D (50 mM Tris pH 8, 150 mM NaCl, 1 mM DTT). For elution, buffer D was supplemented with 2.5 mM of desthiobiotin, peak fractions were pooled after SDS–PAGE analysis and loaded onto a GE Healthcare HisTrap HP 5 ml column pre-equilibrated with buffer D. After extensive wash with buffer D followed by a wash with buffer D supplemented with 20 mM imidazole, the recombinant protein was eluted in high imidazole buffer (50 mM Tris pH 8, 150 mM NaCl, 1 mM DTT and 300 mM imidazole) in one step and analysed on SDS–PAGE. Eluted sample was divided in two with one buffer-exchanged in the membrane-extraction buffer described above for the T4SS complex and the other in the same buffer but without detergents, and subsequently analysed using SDS–PAGE.
Testing the effect of single site mutations on the stability of the TraB/VirB4-TraG/VirB11 complex
pCDFDuet1 containing traB/virB4C-His and traG/virB11C-Strep was used as a template to design primers and introduce point mutations (Q8D, R54E, N55E and K58E) in TraG and (E591R, E594R, A598E and Y619R) in TraB using PCR and In-Fusion cloning (Takara Bio). After the lysate-clarification step described above, supernatants were loaded onto a GE Healthcare HisTrap HP 5 ml column pre-equilibrated with buffer D (50 mM Tris pH 8, 150 mM NaCl, 1 mM DTT). After extensive wash with buffer D followed by a wash with buffer D supplemented with 20 mM imidazole, the recombinant protein was eluted in a gradient of high imidazole buffer (50 mM Tris pH 8, 150 mM NaCl, 1 mM DTT and 300 mM imidazole) and analysed on SDS–PAGE, adjusting load volumes so as to have equal amounts TraB on the gel. Western blot was performed to confirm the identities of TraB and TraG using a Bio-Rad mini-blot module and the two proteins forming the complex were probed using horseradish peroxidase (HRP) conjugated anti-His (Sigma Aldrich; 1:2,000 dilution)) and anti-Strep (EMD Merck; 1:4,000 dilution) antibodies and visualized by incubation with SigmaFast DAB with metal enhancer (Sigma Aldrich). Expression of TraG wild-type and mutants was assessed by comparing the corresponding TraG band in induced and non-induced cells. Non-edited pictures of gels and westerns are shown in the supplementary information.
Cloning, expression and conjugation assay of VirB6–Flag mutants
Coding region of trwI/virB6 was amplified using PCR from pMAK3 plasmid (R388) and cloned into pBADM11 vector using In-Fusion cloning (Takara Bio). This clone was modified by addition of flexible linker composed of Gly-Ser-Gly and a Flag tag at the 3′ end of the trwI/virB6 gene by PCR amplification followed by In-Fusion cloning (Takara Bio). Mutations were introduced into the trwI/virB6-Flag by In-Fusion cloning (Takara Bio). R388ΔtrwI/virB6 was generated by incorporation of chloramphenicol cassette inside of trwI/virB6 gene by homologous recombination according to a protocol described previously41,42 using the SW102 strain43.
The mating assay was performed as previously described9,44. E. coli TOP10 strain containing R388ΔtrwI/virB6 plasmid and complementation plasmids expressing VirB6-Flag or mutants were used for mating assay as donor strains and E. coli DH5α as recipient strain. The conjugation frequencies were calculated as transconjugants per recipients. All experiments were performed three times. The data are expressed as mean ± s.d. For comparison of two groups, an unpaired t-test was employed as implemented at https://www.socscistatistics.com/tests/studentttest/default2.aspx. Unprocessed numbers are reported in the supplementary information.
Detection of expression levels of VirB6–Flag and mutants in membranes
E. coli TOP10 strain containing R388ΔtrwI/virB6 plasmid and complementation plasmids expressing VirB6-Flag or mutants were cultured in LB medium containing trimethoprim (10 μg ml−1) and carbenicillin (100 μg ml−1) at 37 °C until the cells reached A600nm = 0.5–0.6. The expression of VirB6–Flag or mutants was induced by addition of 0.05% arabinose for 1 h at 37 °C. Cell were pelleted by centrifugation at 5,000 g for 15 min and resuspended in resuspension buffer (50 mM Tris pH 7.5, 200 mM NaCl, 1 mM EDTA) with protease inhibitor cocktail tablets (Roche) followed by lysis by sonication. The lysate was clarified by centrifugation at 25,750 g for 30 min, and the membrane pellet was collected by ultracentrifugation at 95,834 g for 45 min. The pellet was washed with resuspension buffer and membrane was pelleted by another ultracentrifugation at 95,834 g for 45 min. The membrane pellets were resuspended in NuPAGE LDS Sample Buffer (Thermo Fischer), boiled at 95 °C for 5 min and cooled down on ice before loading to the SDS–PAGE gel. The antibodies used to detect the amount of expressed VirB6–Flag from different constructs were anti-Flag antibody produced in rabbit (Abcam; 1:4,000 dilution) followed by incubation with anti-rabbit antibody conjugated with horseradish peroxidase (Abcam; 1:5,000 dilution). The bands were visualized by incubating the membrane with SigmaFast DAB with metal enhancer (Sigma-Aldrich).
Cryo-EM grid preparation and data acquisition
C-flat grids (Protochips; 2/2 400 mesh and 1.2/1.3 300 mesh) were used for T4SS and UltrAuFoil grids (Quantifoil; 1.2/1.3 300 mesh) for VirB4unbound protein (preincubated with 0.1 mM LDAO (N,N-dimethyl-1-dodecanamine-N-oxide; Anatrace)). Grids were negatively glow discharged using PELCO Easiglow (Ted Pella) and coated with graphene oxide45. After application of 3 μl of sample, grids were incubated for 20–30 s in the chamber of a Vitrobot Mark IV (Thermo Fisher Scientific, USA) at 4 °C and 94% humidity and vitrified in liquid ethane.
The T4SS data were collected at the ISMB Birkbeck EM facility using a Titan Krios microscope (Thermo Fisher Scientific) operated at 300 keV and equipped with a BioQuantum energy filter (Gatan) with a slit width of 20 eV. The images were collected with a post-GIF K3 direct electron detector (Gatan) operating in super-resolution mode, at a magnification of 81,000 corresponding to a pixel size of 1.067 Å. The dose rate was set to 19.2 e− per pixel per second and a total dose of 57.5 e− per Å2 was fractionated over 50 frames. Data were collected using the EPU (version 2.7) software with a defocus range −1.5 μm to −3.3 μm. A total of 104,711 movies were collected.
The VirB4unbound data were collected using the same setup as for the T4SS. The images were collected with a post-GIF K2 Summit direct electron detector (Gatan) operating in counting mode, at a magnification of 130,000 corresponding to a pixel size of 1.048 Å. The dose rate was set to 5.38 e− per pixel per second, and a total dose of 49 e− per Å2 was fractionated over 50 frames. Data were collected using EPU software (Thermo Fisher) with a defocus range −1.2 μm to −2.8 μm. A total of 6,184 micrographs were collected in one session.
Image processing of T4SS
MOTIONCOR246 was used for motion correction and dose weighting, followed by contrast transfer function (CTF) estimation using CTFFIND v4.147. Workflows for image processing are reported in Extended Data Fig. 2.
Image processing of the T4SS OMCC
Reprojections of a low pass filtered (20 Å) map generated using PDB 3JQO23 were used to pick particles centred on the OMCC using GAUTOMATCH v0.5648. A total of 1,729,311 particles were selected after multiple rounds of 2D classification using cryoSPARC v2.1549 (Extended Data Fig. 2a,b).
Symmetry analysis
One-hundred thousand of these particles (chosen automatically by cryoSPARC) were submitted to ab initio reconstruction with no symmetry applied and the resulting map was used as initial model to a 3D refinement with the same particles, yielding a map at 3.52 Å (referred to in Supplementary Table 1a as the ab initio model for OMCC C1 map; Extended Data Fig. 3a). Symmetry of the O-layer was assessed visually by displaying sections of the corresponding region of the ab initio map (Extended Data Fig. 4a, top left), clearly indicating C14 symmetry for this region. Then, a 3D homogeneous refinement was carried out using this new map as initial model using all 1,729,311 particles, yielding a C1 map of the OMCC with a resolution of 3.28 Å (referred to in Supplementary Table 1a as the OMCC C1 3.28 Å map; Extended Data Fig. 3b). To assess the symmetry in various regions of this map (O- and I-layers), sets of map sections were selected and extracted as separate images using the FIJI 1.5350 software. Images were imported into IMAGIC-551 where the function rotational-auto-correlation was used and results were plotted (Extended Data Fig. 4a,b).
Structure determination
Using RELION 3.152, the 1,729,311 particles were re-extracted, re-centred and subjected to 3D refinement using the low pass filtered map mentioned above as initial model, with C14 symmetry applied. The outputs of this job were used for two different 3D classifications using RELION, one with a mask focused on the O-layer with C14 symmetry applied, and the other comprising the I-layer with C16 symmetry applied. Both classifications were performed without image alignment and using Tau = 100. The best resulting classes (based on the presence high resolution features) corresponded to 1,280,606 particles for the O-layer and 709,769 particles for the I-layer. These particles were selected to perform homogeneous refinement with cryoSPARC using corresponding symmetries, on-the-fly CTF and defocus refinement. The resulting electron density maps have an average resolution of 2.58 Å for the O-layer (O-layer C14 2.58 Å map) and 3.08 Å for the I-layer (I-layer C16 3.08 Å map) as estimated using the gold standard Fourier shell correlation (FSC) with a 0.143 threshold (Extended Data Fig. 3c,d and Supplementary Table 1a). For the I-layer, we further validated the C16 symmetry by applying C14 or C15 symmetry which yielded maps of much inferior quality compared to C16 (see Methods and Extended Data Fig. 4b).
Image processing of the T4SS IMC, stalk and arches
Reprojections of the negative-strain EM map of the IMC, stalk and arches9 (EMDB 3585) were used to pick particles centred on the IMC, stalk and arches using GAUTOMATCH. Particles were extracted, binned and subjected to multiple rounds of 2D classification using cryoSPARC, resulting in the selection of 1,292,734 particles which were re-extracted without binning and re-centred using RELION.
cryoSPARC was then used for all subsequent image processing described below.
To generate our first 3D map, we first made a strict selection of 60,722 particles (see Extended Data Fig. 2c for selection) which were obtained from several rounds of 2D classification, which then were used for the ab initio 3D classification with no symmetry imposed. The resulting map was used as the initial model for all subsequent processing (Extended Data Fig. 3e and Supplementary Table 1a).
Using the 1,292,734 particles mentioned above and this new reference map, heterogeneous 3D classification was carried out and resulted in the selection of a subset of 566,815 particles which were subjected to 3D homogeneous refinement with no symmetry imposed (Extended Data Fig. 2d). This yielded a map with an average resolution of 6.18 Å (IMC-arches-stalk C1 6.18 Å map; Extended Data Fig. 3f, Supplementary Table 1a). In this map, we observed three regions: a cone shape structure (the stalk) surrounded by a ring (the arches), both located above an assembly of three large bulks of density (the IMC). However, when applying lower contour levels, two additional large bulks of density were observed in the IMC (Extended Data Fig. 4d) and a third additional one was observed when contouring the map at an even lower level. All 5 readily visible bulks of density were related by ~60° (Extended Data Fig. 4c,d). The ~60° angles between IMC density bulks were confirmed using the map symmetry analysis methods described above for the OMCC (Extended Data Fig. 4c).
This observation led us to focus on one of the three better-defined density bulks which we define as the IMC protomer (Extended Data Fig. 2d, left). Thus, the IMC–arches–stalk C1 6.18 Å map and corresponding subset of particles were used to perform particle subtraction using a mask excluding the IMC protomer so defined. Following local refinement with no symmetry applied, a map of the IMC protomer was thus obtained with an average resolution of 3.75 Å as estimated by the gold-standard FSC at a 0.143 threshold (IMC protomer C1 3.75 Å map; Extended Data Fig. 3g and Supplementary Table 1a) into which 2 VirB4 subunits (the VirB4central–VirB4outside dimer), 1 VirB3 and 3 VirB8tails were built and refined.
For the stalk, the IMC-arches-stalk C1 6.18 Å map was first subjected to the same symmetry analysis described above for the OMCC and was found to be five-fold symmetrical (Extended Data Fig. 4e). Next, the corresponding subset of particles were used to perform particle subtraction using a mask excluding the cone shape structure (Extended Data Fig. 2d, right). Following local refinement with no symmetry applied, a map of the stalk was obtained with an average resolution of 3.71 Å as estimated by the gold-standard FSC at a 0.143 threshold (stalk C1 3.71 Å map; Extended Data Fig. 3h and Supplementary Table 1a) into which 5 VirB6 and 5 VirB5 subunits were built and refined. In this map, the transmembrane regions of 2 VirB6 subunits were poorly resolved, suggesting flexibility. After confirming C5 symmetry (Extended Data Fig. 4f), symmetry was applied using a mask that excluded the VirB6 transmembrane regions, yielding much improved density for the included regions (stalk C5 3.28 Å map; Extended Data Fig. 3i and Supplementary Table 1a).
For the arches, we also observed three bulks of density (as for the IMC) in the IMC–arches–stalk C1 6.18 Å map (Extended Data Fig. 4d, right). Symmetry analysis as described above showed these bulks (made of 3 VirB8peri domains) to be related by ~60° angles, suggesting that, like for the IMC, the arches protomers locate along a hexagon and therefore form a hexamer (Extended Data Fig. 4c,d). The strategy used for the IMC (particle subtraction/local refinement) was therefore used, but did not produce high-resolution features for this region. Nevertheless, in the IMC–arches–stalk C1 6.18 Å map, secondary structural features were clearly recognizable and this map was used to dock homology models of VirB8peri without side chains (see details below).
All maps used for model building were subjected to sharpening using AutoSharpen in Phenix v1.18.253 and local resolution estimated using cryoSPARC.
Image processing of VirB4unbound
MOTIONCOR2 was used for motion correction and dose weighting, followed by CTF estimation using CTFFIND v4.1. After removing micrographs with non-vitreous ice, poor particle distribution or poor CTF fit, a total of 3,931 micrographs were selected for subsequent processing. RELION auto-picking with high threshold was first used to pick 54,956 particles which were then used in multiple rounds of 2D classification using cryoSPARC. The best 2D averages were then used as a template for particle picking using GAUTOMATCH using a low threshold (0.1), yielding 1,622,003 particles. After multiple rounds of 2D classification and selection focusing on removing excess bottom and top views, followed by ab initio 3D classification using cryoSPARC, 209,217 particles were selected. Homogenous refinement using this set of particles together with the ab initio map as reference yielded a 4.14 Å resolution map as estimated by gold-standard FSC at a 0.143 threshold (VirB4unbound trimer of dimers C1 4.14 Å map; Extended Data Fig. 6b and Supplementary Table 1a). This map clearly shows a trimer of dimers of VirB4, with one dimer better defined in the electron density. This led us to focus the refinement on the dimer. Local and non-uniform refinement49 using a mask encompassing the so-defined dimer was performed, yielding a map with an average resolution of 3.49 Å as estimated by gold-standard FSC at a 0.143 threshold (VirB4unbound dimer C1 3.49 Å; Extended Data Fig. 6a and Supplementary Table 1a). This map was sharpened in Phenix v1.18.
Model building and refinement of T4SS structure
An O-layer homology model (generated using Robetta54 consisting of the hetero-trimeric unit of VirB7, VirB9CTD and VirB10CTD was initially fitted as a rigid-body into the asymmetric unit of the 2.58 Å resolution C14 map of the corresponding region (Extended Data Fig. 3c) using Chimera v1.455. Individual residues were rebuilt into density using Coot v0.9.356, and the resulting structure refined using Phenix. 14 copies of this model were then manually fitted into the O-layer map using Chimera to generate a model of the entire O-layer, which was refined using Phenix with secondary structures and Ramachandran restraints applied (Supplementary Table 1b). The same procedure was used to produce the I-layer structure except that an I-layer homology model consisting of a hetero-dimeric unit of VirB9NTD and α1 of VirB10NTD was first obtained and the 3.08 Å resolution C16 map of the region (Extended Data Fig. 3d) was used. A model of VirB9NTD bound to α1 of VirB10NTD was obtained after several rounds of rebuilding and refinement. 16 copies of this model were fitted in the map to generate the entire model for the I-layer, which was rebuilt using Coot and refined using Phenix with secondary structural elements and Ramachandran restraints applied (Supplementary Table 1b).
For the stalk, the stalk C1 3.71 Å and stalk C5 3.28 Å (Extended Data Fig. 3h, i) maps were used to build de novo one VirB5 (residues 32 to 229) and one VirB6 (residues 1 to 272) using Coot, aided by secondary structure prediction (Psipred 4.057). Five copies of each subunits were then generated to obtain the entire stalk structure. For 2 VriB6 subunits, the C1 map did not display clear density for the transmembrane region and therefore this region was omitted. Each residue of each molecule was then rebuilt/adjusted independently into the stalk C1 3.71 Å map density using Coot and the resulting structure refined using Phenix with secondary structures and Ramachandran restraints applied (Supplementary Table 1b).
For the IMC, 2 VirB4unbound structures (generated as described in next Methods section) were used and fitted into the IMC protomer C1 3.75 Å map (Extended Data Fig. 3g), rebuilt in density (Coot) and refined (Phenix). 1 VirB3 (residues 1 to 104) and 3 VirB8tails (residues 12 to 62) were build de novo using Coot guided by secondary structure prediction (Psipred) and transmembrane prediction (TMpred58). A final model of the IMC protomer structure was obtained after several rounds of rebuilding (Coot) and refinement with secondary structures and Ramachandran restraints applied (Phenix) (Supplementary Table 1b).
For the arches, the IMC-arches-stalk C1 6.18 Å map (Extended Data Fig. 3f) was used, the best map for this region. The resolution was however high enough to clearly show secondary structural features into which 9 homology models of the VirB8 periplasmic domain (VirB8peri; residues 95-231; obtained using Robetta) were docked as rigid bodies using Chimera. The high cross-correlation (0.83) indicated the good correspondence between the map and the model. Confidence in the correctness of this model was increased considerably when it was realized that the VirB8peri domains come together in a manner that has been observed before (see main text). Note that the side chains are removed from our final model of the arches as they are not defined in the density.
Next, the structural composite model of the entire IMC and arches hexamer was obtained using the six-fold symmetry operators derived from computing a new map as described in Extended Data Fig. 5. In brief, the same workflow that was used to generate the ab initio model for the IMC-arches-stalk (see Extended Data Fig. 2c) was used except that C6 symmetry was applied during ab initio classification. This resulted in a C6 map (IMC-arches C6 8.33 Å map; Extended Data Fig. 5a and Supplementary Table 1a) from which the symmetry operators could be inferred using Phenix. This map also displayed density for the bottom of the I-layer and was therefore used to position the OMCC relative to the IMC-arches-stalk (Extended Data Fig. 5b) and generate a composite model for the entire T4SS. The positioning was checked using the 2D classes (circa 2.4% of particles) where the OMCC and the IMC–arches–stalk are aligned (Extended Data Fig. 5c).
For all models, regions with poor C-α backbone density were subsequently deleted while side chains were removed for areas with poor side chain densities. MolProbity v4.5.159 was used to evaluate the quality of all structures. All data and model statistics are reported in Supplementary Table 1b.
Model building and refinement of VirB4unbound structures
A homology model of the C-terminal domain of VirB4 (residues 400–760) was first generated with Phyre60 using the structure of the C-terminal domain of the VirB4 protein from Thermoanaerobacter pseudethanolicus (PDB 4AG539) as the template. This homology model was fitted as a rigid body into the corresponding region of the 3.49 Å map of the dimer using Chimera v1.13.1 and adjusted/rebuilt into the density using Coot. Next, the remaining C-terminus (residues 760–823) as well as the entire N-terminal domain (residues 15–400) for which the structure was unknown were built de novo, aided by secondary structure elements predicted by Psi-Pred and models generated by Robetta. The resulting models of the completed C- and N-terminal domains were combined and RosettaCM61 was used to generate a full-length model docked into the density. The monomer model was improved further using iterative rounds of RosettaCM and manual readjustment in Coot against the map and refined using real space refinement with simulated annealing and secondary structure restraints in Phenix v1.18. A second copy of this model was rigid body fitted into the density corresponding to the adjacent subunit to generate the dimer model which was then adjusted/rebuilt in Coot and refined using Phenix.
The two other VirB4unbound dimers and HCP (PDB 1Y1262) were independently fitted as rigid bodies into the 4.11 Å map and adjusted using RosettaCM. The GSGSGS-linker connecting VirB4unbound subunits to HCP was built. The resulting trimer of dimers model was refined using Phenix.
Regions with poor Cα backbone density were subsequently deleted while areas with poor side chain densities were mutated to polyalanine. MOLPROBITY v4.4 was used to evaluate the quality of the structures. All data and model statistics are reported in Supplementary Table 1b.
Model of the T4SS with pilus and VirB11 bound
Docking of the pilus base layer of the F TraA/VirB2 pentamer (PDB entry code 5LER)32 was carried out using the shape-complementarity software Patchdock40 using default parameters. The top-scoring structure was then used to position the entire F pilus on top of VirB6. The VirB5 structure was then fitted on top of the pilus using the shape-complementarity software HDOCK63. The model for VirB4–VirB11 was generated using AlphaFold136. Finally, to generate an open O-layer structure, the outer membrane helices of VirB10CTD were manually moved using Chimera and the residues in the two linkers between these helices and the central barrel structure were rebuilt using Coot and energy minimized using YASARA yielding a z-score of −1.6364.
Interaction analysis and representation of the T4SS structure
Interaction analysis was conducted using the PISA server65, and structure representations were generated using ChimeraX v1.155 and PyMOL v2.3.266. Details of alignment and interactions are shown in the supplementary information.
Identifying and aligning T4SS components for co-evolution studies
Starting from the T4SS components of R388 plasmid, the homologues of each protein encoded by nucleotide sequences in the European Nucleotide Archive database and the Integrated Microbial Genomes and Microbiomes database of the Joint Genome Institute were identified. Six rounds of iterative HMMER67 search with e-value cut-offs of 10−12, 10−12, 10−12, 10−12, 10−6 and 10−3, respectively, were used. Homologues found in each round of sequence search were used to construct the sequence profile for each T4SS protein using Hmmer hmmbuild, which was used to identify more homologues in the next round. We filtered the homologues found in the last round of database search by their coverage (>60%) over the query sequence and recorded their loci on the nucleotide sequences.
For each pair of the T4SS proteins, their homologues that are encoded on the same nucleotide sequences and separated by less than 20 coding genes were extracted. This requirement ensures that we include protein pairs that are encoded by genes close to each other in the bacterial genome, that is, probably on the same T4SS operon and thus function together. The sequences of these protein pairs were concatenated and the multiple sequence alignment (MSA) was derived from the pairwise sequence alignments made by HMMER. The MSA was then filtered for each T4SS protein pair by sequence identity (maximal identity for remaining sequences ≤90%) and gap ratio in each sequence (gap ratio ≤25%), and the resulting non-redundant MSA was used for co-evolution analysis. The number of sequences in the MSA ranges from 213 to 8571, with an average of 2,809. Most protein pairs have more than 1,000 sequences in the MSA, which is sufficient for accurate co-evolution analysis according to our previous study28.
Co-evolution analysis of T4SS components and validation of the T4SS complex structure
The MSA for each protein pair was analysed by TrRosetta.v1 to infer interacting residues from coevolutionary patterns in the MSA. TrRosetta is a deep learning network trained on tens of thousands of proteins in the PDB to convert the coevolution patterns detected in the MSA of a protein and its homologues to residue-residue distances. TrRosetta predicts the probability distribution for residue-residue distances in a set of distance bins. We summed the probability for bins corresponding to distance ≤12 Å to obtain the contact probability score between residues.
We ranked these predicted inter-protein contacts according to the TrRosetta contact probability scores. Residue pairs with TrRosetta score ≥ 0.05 for each protein pair mentioned below are shown in the supplementary information (a cutoff of 0.05 returns between 315 (for VirB5-VirB6) and 896 (for VirB3-VirB4) pairs). We mapped the top-ranking residues onto the T4SS complex structure for protein pairs that directly interact in the experimental structure: VirB3–VirB4, VirB5–VirB6, VirB4–VirB8 and VirB9–VirB10. For VirB5–VirB6, VirB4–VirB8 and VirB9–VirB10, we mapped residue pairs with contact probability scores above a threshold of 70% of the score of the top scoring pair (Fig. 3e,f, Extended Data Fig. 9b,c and Supplementary Table 4). This arbitrary threshold is used for illustration purposes since it results in about 15–25 residue pairs (a manageable number for the reader) being displayed in the figures. For VirB3–VirB4 (Extended Data Fig. 9a and Supplementary Table 4), such a threshold would have resulted in too many residue pairs (102 in total) to show, so we mapped the top 30 co-evolving residue pairs for this interface. For T4SS components that are not present in the cryo-EM structure, that is, VirB11 or VirB2, their co-evolution with VirB4 and VirB3/VirB6, respectively, were analysed. For the VirB4–VirB11 interaction, we obtained a model of the complex for both VirB4–VirB11 and TraB–TraG using AlphaFold136 (see above and Extended Data Fig. 10a,b) and this model was used to map the top TrRosetta co-evolving pairs (70% threshold as above; Extended Data Fig. 10b and Supplementary Table 4). For the VirB2–VirB6 or VirB2–VirB3 interactions, we mapped the VirB6 or VirB3 residues listed in the 50 top TrRosetta corresponding residue pairs onto the structure of VirB6 (Extended Data Fig. 10i and Supplementary Table 4) or VirB3 (Extended Data Fig. 4j and Supplementary Table 4), respectively.
Reporting summary
Further information on research design is available in the Nature Research Reporting Summary linked to this paper.
Online content
Any methods, additional references, Nature Research reporting summaries, source data, extended data, supplementary information, acknowledgements, peer review information; details of author contributions and competing interests; and statements of data and code availability are available at 10.1038/s41586-022-04859-y.
Supplementary information
Acknowledgements
This work was supported by Wellcome grants 098302 and 217089 to G.W., a fellowship from Washington Research Foundation and start-up fund from Southwestern Medical Foundation fellowships to Q.C., and Yeast Program grant 5 P41 GM 103533-24 to D.B. Cryo-EM data for this investigation were collected at the ISMB EM facility at Birkbeck College, University of London with financial support from Wellcome Trust (202679/Z/16/Z and 206166/Z/17/Z). We thank D. Houldershaw for IT support.
Extended data figures and tables
Source data
Author contributions
K.M. and A.K.V. purified the T4SS complex and VirB4unbound, respectively. N.L. and A.K.V. prepared grids of the T4SS complex and VirB4unbound, respectively. N.L. collected the data. EM processing work on the T4SS was carried out by K.M. and K.M. built and refined the structure. A.K.V. processed the VirB4unbound data and built and refined the structure. T.R.D.C., M.U., N.B. and A.R. were involved in grid making and data collection in the initial phase of the project. E.V.O. with T.R.D.C., M.U., N.B. and A.R. were involved in data processing in the initial phase of the project. F.L. was involved in cloning and purification of VirB4unbound in the initial phase of the project. D.B. and Q.C. generated and interpreted the co-evolution data. A.R. and A.K.V. made mutations in VirB6 and TraB–TraG and tested these mutants, respectively. A.K.V. and C.O. were involved in the purification of the TraB–TraG. G.W. supervised the work and wrote the manuscript. All authors read the manuscript and discussed the materials.
Peer review
Peer review information
Nature thanks the anonymous reviewers for their contribution to the peer review of this work. Peer review reports are available.
Data availability
EM maps and atomic models were deposited to the Electron Microscopy Data Bank (EMDB) and Protein Data Bank (PDB) databases. Accession codes can be found in Supplementary Table 1 of the manuscript. PDB codes for the various structures reported in this manuscript are 7O3J, 7O3T, 7O3V, 7O41, 7O42, 7O43, 7OIU, 7Q1V and the EMDB accession codes are EMD-12707, EMD-12708, EMD-12709, EMD-12715, EMD-12716, EMD-12717, EMD-13765, EMD-13766, EMD-13767, EMD-13768 and EMD-12933. All constructs (wild type and mutants) used in this study can be obtained on request to G.W. A Chimera session highlighting the unaccounted densities observed in the IMC–arches–stalk C1 6.18 Å unsharpened map is provided in the supplementary information. Source data are provided with this paper.
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: Kévin Macé, Abhinav K. Vadakkepat
Contributor Information
Kévin Macé, Email: k.mace@mail.cryst.bbk.ac.uk.
Qian Cong, Email: congqian1986@gmail.com.
Gabriel Waksman, Email: g.waksman@ucl.ac.uk.
Extended data
is available for this paper at 10.1038/s41586-022-04859-y.
Supplementary information
The online version contains supplementary material available at 10.1038/s41586-022-04859-y.
References
- 1.Waksman G. From conjugation to T4S systems in Gram-negative bacteria: a mechanistic biology perspective. EMBO Rep. 2019;20:e47012. doi: 10.15252/embr.201847012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Virolle C, Goldlust K, Djermoun S, Bigot S, Lesterlin C. Plasmid transfer by conjugation in Gram-negative bacteria: from the cellular to the community level. Genes. 2020;11:1239. doi: 10.3390/genes11111239. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Barlow M. What antimicrobial resistance has taught us about horizontal gene transfer. Methods Mol. Biol. 2009;532:397–411. doi: 10.1007/978-1-60327-853-9_23. [DOI] [PubMed] [Google Scholar]
- 4.Costa TR, et al. Secretion systems in Gram-negative bacteria: structural and mechanistic insights. Nat. Rev. Microbiol. 2015;13:343–359. doi: 10.1038/nrmicro3456. [DOI] [PubMed] [Google Scholar]
- 5.Costa, T. R. D. et al. Type IV secretion systems: advances in structure, function, and activation. Mol. Microbiol.10.1111/mmi.14670 (2020). [DOI] [PMC free article] [PubMed]
- 6.Chandran Darbari V, Waksman G. Structural biology of bacterial type IV secretion systems. Annu. Rev. Biochem. 2015;84:603–629. doi: 10.1146/annurev-biochem-062911-102821. [DOI] [PubMed] [Google Scholar]
- 7.Fronzes R, et al. Structure of a type IV secretion system core complex. Science. 2009;323:266–268. doi: 10.1126/science.1166101. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Low HH, et al. Structure of a type IV secretion system. Nature. 2014;508:550–553. doi: 10.1038/nature13081. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Redzej A, et al. Structure of a VirD4 coupling protein bound to a VirB type IV secretion machinery. EMBO J. 2017;36:3080–3095. doi: 10.15252/embj.201796629. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Hu B, Khara P, Christie PJ. Structural bases for F plasmid conjugation and F pilus biogenesis in Escherichia coli. Proc. Natl Acad. Sci. USA. 2019;116:14222–14227. doi: 10.1073/pnas.1904428116. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Khara P, Song L, Christie PJ, Hu B. In situ visualization of the pKM101-encoded type IV secretion system reveals a highly symmetric ATPase energy center. mBio. 2021;12:e0246521. doi: 10.1128/mBio.02465-21. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Aly KA, Baron C. The VirB5 protein localizes to the T-pilus tips in Agrobacterium tumefaciens. Microbiology. 2007;153:3766–3775. doi: 10.1099/mic.0.2007/010462-0. [DOI] [PubMed] [Google Scholar]
- 13.Babic A, Lindner AB, Vulic M, Stewart EJ, Radman M. Direct visualization of horizontal gene transfer. Science. 2008;319:1533–1536. doi: 10.1126/science.1153498. [DOI] [PubMed] [Google Scholar]
- 14.Lai EM, Chesnokova O, Banta LM, Kado CI. Genetic and environmental factors affecting T-pilin export and T-pilus biogenesis in relation to flagellation of Agrobacterium tumefaciens. J. Bacteriol. 2000;182:3705–3716. doi: 10.1128/jb.182.13.3705-3716.2000. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Li YG, Christie PJ. The Agrobacterium VirB/VirD4 T4SS: mechanism and architecture defined through in vivo mutagenesis and chimeric systems. Curr. Top. Microbiol. Immunol. 2018;418:233–260. doi: 10.1007/82_2018_94. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Cabezon E, Ripoll-Rozada J, Pena A, de la Cruz F, Arechaga I. Towards an integrated model of bacterial conjugation. FEMS Microbiol. Rev. 2015;39:81–95. doi: 10.1111/1574-6976.12085. [DOI] [PubMed] [Google Scholar]
- 17.Huiskonen JT. Image processing for cryogenic transmission electron microscopy of symmetry-mismatched complexes. Biosci. Rep. 2018;38:BSR20170203. doi: 10.1042/BSR20170203. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Chetrit D, Hu B, Christie PJ, Roy CR, Liu J. A unique cytoplasmic ATPase complex defines the Legionella pneumophila type IV secretion channel. Nat. Microbiol. 2018;3:678–686. doi: 10.1038/s41564-018-0165-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Yeo HJ, Yuan Q, Beck MR, Baron C, Waksman G. Structural and functional characterization of the VirB5 protein from the type IV secretion system encoded by the conjugative plasmid pKM101. Proc. Natl Acad. Sci. USA. 2003;100:15947–15952. doi: 10.1073/pnas.2535211100. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Barden S, et al. A helical RGD motif promoting cell adhesion: crystal structures of the Helicobacter pylori type IV secretion system pilus protein CagL. Structure. 2013;21:1931–1941. doi: 10.1016/j.str.2013.08.018. [DOI] [PubMed] [Google Scholar]
- 21.Wu X, et al. Crystal structure of CagV, the Helicobacter pylori homologue of the T4SS protein VirB8. FEBS J. 2019;286:4294–4309. doi: 10.1111/febs.14971. [DOI] [PubMed] [Google Scholar]
- 22.Terradot L, et al. Structures of two core subunits of the bacterial type IV secretion system, VirB8 from Brucella suis and ComB10 from Helicobacter pylori. Proc. Natl Acad. Sci. USA. 2005;102:4596–4601. doi: 10.1073/pnas.0408927102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Chandran V, et al. Structure of the outer membrane complex of a type IV secretion system. Nature. 2009;462:1011–1015. doi: 10.1038/nature08588. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Sgro GS, et al. Cryo-EM structure of the core complex of a bacterial killing type IV secretion system. Nat. Microbiol. 2018;3:1429–1440. doi: 10.1038/s41564-018-0262-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Durie CL, et al. Structural analysis of the Legionella pneumophila Dot/Icm type IV secretion system core complex. eLife. 2020;9:e59530. doi: 10.7554/eLife.59530. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Sheedlo MJ, et al. Cryo-EM reveals species-specific components within the Helicobacter pylori Cag type IV secretion system core complex. eLife. 2020;9:e59495. doi: 10.7554/eLife.59495. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Ovchinnikov S, Kamisetty H, Baker D. Robust and accurate prediction of residue-residue interactions across protein interfaces using evolutionary information. eLife. 2014;3:e02030. doi: 10.7554/eLife.02030. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Anishchenko I, Ovchinnikov S, Kamisetty H, Baker D. Origins of coevolution between residues distant in protein 3D structures. Proc. Natl Acad. Sci. USA. 2017;114:9122–9127. doi: 10.1073/pnas.1702664114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Cong Q, Anishchenko I, Ovchinnikov S, Baker D. Protein interaction networks revealed by proteome coevolution. Science. 2019;365:185–189. doi: 10.1126/science.aaw6718. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Yang J, et al. Improved protein structure prediction using predicted interresidue orientations. Proc. Natl Acad. Sci. USA. 2020;117:1496–1503. doi: 10.1073/pnas.1914677117. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Baek M, et al. Accurate prediction of protein structures and interactions using a three-track neural network. Science. 2021;373:871–876. doi: 10.1126/science.abj8754. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Costa TRD, et al. Structure of the bacterial sex F pilus reveals an assembly of a stoichiometric protein-phospholipid complex. Cell. 2016;166:1436–1444.e1410. doi: 10.1016/j.cell.2016.08.025. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Kerr JE, Christie PJ. Evidence for VirB4-mediated dislocation of membrane-integrated VirB2 pilin during biogenesis of the Agrobacterium VirB/VirD4 type IV secretion system. J. Bacteriol. 2010;192:4923–4934. doi: 10.1128/JB.00557-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Sagulenko E, Sagulenko V, Chen J, Christie PJ. Role of Agrobacterium VirB11 ATPase in T-pilus assembly and substrate selection. J. Bacteriol. 2001;183:5813–5825. doi: 10.1128/JB.183.20.5813-5825.2001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Park D, Chetrit D, Hu B, Roy CR, Liu J. Analysis of Dot/Icm type IVB secretion system subassemblies by cryoelectron tomography reveals conformational changes induced by DotB binding. mBio. 2020;11:e03328–19. doi: 10.1128/mBio.03328-19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Jumper J, et al. Highly accurate protein structure prediction with AlphaFold. Nature. 2021;596:583–589. doi: 10.1038/s41586-021-03819-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Yeo HJ, Savvides SN, Herr AB, Lanka E, Waksman G. Crystal structure of the hexameric traffic ATPase of the Helicobacter pylori type IV secretion system. Mol. Cell. 2000;6:1461–1472. doi: 10.1016/s1097-2765(00)00142-8. [DOI] [PubMed] [Google Scholar]
- 38.Hare S, Bayliss R, Baron C, Waksman G. A large domain swap in the VirB11 ATPase of Brucella suis leaves the hexameric assembly intact. J. Mol. Biol. 2006;360:56–66. doi: 10.1016/j.jmb.2006.04.060. [DOI] [PubMed] [Google Scholar]
- 39.Wallden K, et al. Structure of the VirB4 ATPase, alone and bound to the core complex of a type IV secretion system. Proc. Natl Acad. Sci. USA. 2012;109:11348–11353. doi: 10.1073/pnas.1201428109. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Schneidman-Duhovny D, Inbar Y, Nussinov R, Wolfson HJ. PatchDock and SymmDock: servers for rigid and symmetric docking. Nucleic Acids Res. 2005;33:W363–W367. doi: 10.1093/nar/gki481. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Thomason LC, Costantino N, Shaw DV, Court DL. Multicopy plasmid modification with phage lambda Red recombineering. Plasmid. 2007;58:148–158. doi: 10.1016/j.plasmid.2007.03.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Sharan SK, Thomason LC, Kuznetsov SG, Court DL. Recombineering: a homologous recombination-based method of genetic engineering. Nat. Protoc. 2009;4:206–223. doi: 10.1038/nprot.2008.227. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Warming S, Costantino N, Court DL, Jenkins NA, Copeland NG. Simple and highly efficient BAC recombineering using galK selection. Nucleic Acids Res. 2005;33:e36. doi: 10.1093/nar/gni035. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Trokter M, Felisberto-Rodrigues C, Christie PJ, Waksman G. Recent advances in the structural and molecular biology of type IV secretion systems. Curr. Opin. Struct. Biol. 2014;27:16–23. doi: 10.1016/j.sbi.2014.02.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Cheng K, Wilkinson M, Chaban Y, Wigley DB. A conformational switch in response to Chi converts RecBCD from phage destruction to DNA repair. Nat. Struct. Mol. Biol. 2020;27:71–77. doi: 10.1038/s41594-019-0355-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Zheng SQ, et al. MotionCor2: anisotropic correction of beam-induced motion for improved cryo-electron microscopy. Nat. Methods. 2017;14:331–332. doi: 10.1038/nmeth.4193. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.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]
- 48.Zhang, K. Fully Automatic Acccurate, Convenient and Extremely Fast Particle Picking for EMhttps://www.mrc-lmb.cam.ac.uk/kzhang/Gautomatch/ (2017).
- 49.Punjani A, Zhang H, Fleet DJ. Non-uniform refinement: adaptive regularization improves single-particle cryo-EM reconstruction. Nat. Methods. 2020;17:1214–1221. doi: 10.1038/s41592-020-00990-8. [DOI] [PubMed] [Google Scholar]
- 50.Schindelin J, et al. Fiji: an open-source platform for biological-image analysis. Nat. Methods. 2012;9:676–682. doi: 10.1038/nmeth.2019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.van Heel M, Harauz G, Orlova EV, Schmidt R, Schatz M. A new generation of the IMAGIC image processing system. J. Struct. Biol. 1996;116:17–24. doi: 10.1006/jsbi.1996.0004. [DOI] [PubMed] [Google Scholar]
- 52.Scheres SH. 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]
- 53.Adams PD, et al. PHENIX: a comprehensive Python-based system for macromolecular structure solution. Acta Crystallogr. D. 2010;66:213–221. doi: 10.1107/S0907444909052925. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Kim DE, Chivian D, Baker D. Protein structure prediction and analysis using the Robetta server. Nucleic Acids Res. 2004;32:W526–W531. doi: 10.1093/nar/gkh468. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Pettersen EF, et al. UCSF ChimeraX: Structure visualization for researchers, educators, and developers. Protein Sci. 2021;30:70–82. doi: 10.1002/pro.3943. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Emsley P, Cowtan K. Coot: model-building tools for molecular graphics. Acta Crystallogr. D. 2004;60:2126–2132. doi: 10.1107/S0907444904019158. [DOI] [PubMed] [Google Scholar]
- 57.McGuffin LJ, Bryson K, Jones DT. The PSIPRED protein structure prediction server. Bioinformatics. 2000;16:404–405. doi: 10.1093/bioinformatics/16.4.404. [DOI] [PubMed] [Google Scholar]
- 58.Hofmann K, Stoffel W. TMbase—a database of membrane spanning proteins segments. Biol. Chem. 1993;347:166. [Google Scholar]
- 59.Davis IW, et al. MolProbity: all-atom contacts and structure validation for proteins and nucleic acids. Nucleic Acids Res. 2007;35:W375–W383. doi: 10.1093/nar/gkm216. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Kelley LA, Mezulis S, Yates CM, Wass MN, Sternberg MJ. The Phyre2 web portal for protein modeling, prediction and analysis. Nat. Protoc. 2015;10:845–858. doi: 10.1038/nprot.2015.053. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Song Y, et al. High-resolution comparative modeling with RosettaCM. Structure. 2013;21:1735–1742. doi: 10.1016/j.str.2013.08.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Mougous JD, et al. A virulence locus of Pseudomonas aeruginosa encodes a protein secretion apparatus. Science. 2006;312:1526–1530. doi: 10.1126/science.1128393. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Yan Y, Tao H, He J, Huang SY. The HDOCK server for integrated protein-protein docking. Nat. Protoc. 2020;15:1829–1852. doi: 10.1038/s41596-020-0312-x. [DOI] [PubMed] [Google Scholar]
- 64.Krieger E, et al. Improving physical realism, stereochemistry, and side-chain accuracy in homology modeling: Four approaches that performed well in CASP8. Proteins. 2009;77:114–122. doi: 10.1002/prot.22570. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Krissinel E, Henrick K. Inference of macromolecular assemblies from crystalline state. J. Mol. Biol. 2007;372:774–797. doi: 10.1016/j.jmb.2007.05.022. [DOI] [PubMed] [Google Scholar]
- 66.PyMOL. The PyMOL molecular graphics system, version 2.0 (Schrödinger).
- 67.Eddy SR. A new generation of homology search tools based on probabilistic inference. Genome Inform. 2009;23:205–211. [PubMed] [Google Scholar]
- 68.Peng W, de Souza Santos M, Li Y, Tomchick DR, Orth K. High-resolution cryo-EM structures of the E. coli hemolysin ClyA oligomers. PLoS ONE. 2019;14:e0213423. doi: 10.1371/journal.pone.0213423. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Holm L. DALI and the persistence of protein shape. Protein Sci. 2020;29:128–140. doi: 10.1002/pro.3749. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Terradot L, et al. Biochemical characterization of protein complexes from the Helicobacter pylori protein interaction map: strategies for complex formation and evidence for novel interactions within type IV secretion systems. Mol. Cell Proteomics. 2004;3:809–819. doi: 10.1074/mcp.M400048-MCP200. [DOI] [PubMed] [Google Scholar]
- 71.Mary C, Fouillen A, Bessette B, Nanci A, Baron C. Interaction via the N terminus of the type IV secretion system (T4SS) protein VirB6 with VirB10 is required for VirB2 and VirB5 incorporation into T-pili and for T4SS function. J. Biol. Chem. 2018;293:13415–13426. doi: 10.1074/jbc.RA118.002751. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Sharifahmadian M, Nlend IU, Lecoq L, Omichinski JG, Baron C. The type IV secretion system core component VirB8 interacts via the β1-strand with VirB10. FEBS Lett. 2017;591:2491–2500. doi: 10.1002/1873-3468.12770. [DOI] [PubMed] [Google Scholar]
- 73.Kufareva I, Abagyan R. Methods of protein structure comparison. Methods Mol. Biol. 2012;857:231–257. doi: 10.1007/978-1-61779-588-6_10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Jayashree S, Murugavel P, Sowdhamini R, Srinivasan N. Interface residues of transient protein–protein complexes have extensive intra-protein interactions apart from inter-protein interactions. Biol. Direct. 2019;14:1. doi: 10.1186/s13062-019-0232-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Mintseris J, Weng Z. Structure, function, and evolution of transient and obligate protein-protein interactions. Proc. Natl Acad. Sci. USA. 2005;102:10930–10935. doi: 10.1073/pnas.0502667102. [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
EM maps and atomic models were deposited to the Electron Microscopy Data Bank (EMDB) and Protein Data Bank (PDB) databases. Accession codes can be found in Supplementary Table 1 of the manuscript. PDB codes for the various structures reported in this manuscript are 7O3J, 7O3T, 7O3V, 7O41, 7O42, 7O43, 7OIU, 7Q1V and the EMDB accession codes are EMD-12707, EMD-12708, EMD-12709, EMD-12715, EMD-12716, EMD-12717, EMD-13765, EMD-13766, EMD-13767, EMD-13768 and EMD-12933. All constructs (wild type and mutants) used in this study can be obtained on request to G.W. A Chimera session highlighting the unaccounted densities observed in the IMC–arches–stalk C1 6.18 Å unsharpened map is provided in the supplementary information. Source data are provided with this paper.