Abstract
Streptomyces are a genus of ubiquitous soil bacteria from which the majority of clinically utilized antibiotics derive1. The production of these antibacterial molecules reflects the relentless competition Streptomyces engage in with other bacteria, including other Streptomyces species1,2. Here we show that in addition to small-molecule antibiotics, Streptomyces produce and secrete antibacterial protein complexes that feature a large, degenerate repeat-containing polymorphic toxin protein. A cryo-electron microscopy structure of these particles reveals an extended stalk topped by a ringed crown comprising the toxin repeats scaffolding five lectin-tipped spokes, which led us to name them umbrella particles. Streptomyces coelicolor encodes three umbrella particles with distinct toxin and lectin composition. Notably, supernatant containing these toxins specifically and potently inhibits the growth of select Streptomyces species from among a diverse collection of bacteria screened. For one target, Streptomyces griseus, inhibition relies on a single toxin and that intoxication manifests as rapid cessation of vegetative hyphal growth. Our data show that Streptomyces umbrella particles mediate competition among vegetative mycelia of related species, a function distinct from small-molecule antibiotics, which are produced at the onset of reproductive growth and act broadly3,4. Sequence analyses suggest that this role of umbrella particles extends beyond Streptomyces, as we identified umbrella loci in nearly 1,000 species across Actinobacteria.
Subject terms: Bacterial toxins, Cryoelectron microscopy, Microbial ecology
Streptomyces are discovered to produce antibacterial protein complexes that selectively inhibit the hyphal growth of related species, a function distinct from that of the small-molecule antibiotics they are known for.
Main
Soil is typically home to a dense and diverse bacterial community, with many soils containing >109 bacterial species per gram5. Under such conditions, interference competition is intense, as evidenced by the wide range of interbacterial antagonism and defence systems that these bacteria harbour6,7. Streptomyces are a genus of ubiquitous soil bacteria that are notable for their production of antimicrobial secondary metabolites, many of which are used clinically as antibiotics1,3,8. Among other targets, Streptomyces spp. seem to use these antimicrobials to inhibit the growth of other Streptomyces spp., which suggests that interspecies antagonism within the genus is ecologically important2. In many bacteria, proteinaceous polymorphic toxins, in conjunction with their associated delivery machinery, mediate interspecies competition9–16. However, such systems have not yet been identified in Streptomyces.
Although polymorphic toxin delivery relies on distinct, sequence divergent machineries specific to the producer and target species, the small toxin domains they transport often share homology. A comprehensive bioinformatics study that exploited this feature to search for new polymorphic toxins found that the uncharacterized alanine leucine phenylalanine-rich (ALF) repeat proteins of Streptomyces and related organisms bear carboxy-terminal polymorphic toxin domains15,17. The model streptomycete S. coelicolor encodes three ALF proteins, which we term umbrella toxin protein C1 (UmbC1), UmbC2 and UmbC3. Each contains an amino-terminal twin arginine translocation (TAT) signal, two sets of four ALF repeats (ALF1–ALF8), two extended coiled-coil domains, and variable C-terminal and toxin domains (Fig. 1a and Supplementary Tables 1 and 2). The ALF repeat is a degenerate (28% average identity across ALF1–ALF8 from UmbC1–UmbC3) 43–44 amino acid motif of unknown function17 (Extended Data Fig. 1a).
UmbC protein interaction partners
To initiate our investigation of the UmbC proteins, we modelled their conserved domains using AlphaFold18. The ALF repeat portion of the proteins consistently adopted a ring structure, with interactions between ALF1 and ALF5 closing the ring and ALF4 and ALF8 located opposite (Fig. 1b). The coiled-coiled domains of the proteins converged to form a stalk. In UmbC3, this stalk was predicted to extend unidirectionally the length of the domains, whereas the stalks of UmbC1 and UmbC2 adopted a bent configuration in initial models. Templating the models of UmbC1 and UmbC2 on UmbC3 using AlphaFold produced straight stalks for these proteins, a result consistent with the modelled structures we obtained by AlphaFold of several other UmbC proteins (Extended Data Fig. 1b). Overall, the proteins adopt a lollipop-like structure approximately 300 Å in length.
The UmbC structure we predicted is dissimilar to characterized proteins; therefore, it does not indicate how these proteins could function as polymorphic toxins. However, we reasoned that the ring arrangement of ALF repeats could serve as a platform for interaction with other proteins. To identify potential UmbC interaction partners, we generated S. coelicolor strains expressing C-terminally epitope-tagged UmbC1–UmbC3 from their native loci. Immunoprecipitation followed by mass spectrometry (IP–MS) analyses revealed candidate interaction partners for each UmbC protein (Fig. 1c and Supplementary Table 3). Sequence comparison of the proteins established two families, which we named UmbA and UmbB. We noted that each UmbC is encoded proximal to a umbA gene and the gene encoding the UmbB proteins it precipitates (UmbA1–UmbA3, UmbB1–UmbB3) (Fig. 1d). We also identified three UmbA proteins encoded outside these regions (UmbA4–UmbA6); these proteins co-precipitated with each UmbC protein. IP of UmbC1 also yielded an Imm1 immunity protein family member, which we named UmbD1, as a candidate interaction partner. As observed for other polymorphic toxins, umbD1 is located immediately downstream of its cognate toxin gene umbC1. We did not identify candidate immunity proteins for UmbC2 or UmbC3 in our data; however, a gene encoding an Imm88 immunity family protein (UmbD3) is located downstream of umbC3.
Protein interactions in the Umb complex
The UmbA proteins of S. coelicolor consisted of a conserved N-terminal domain with high structural similarity to trypsin followed by a short helical linker to one (UmbA1–UmbA3, UmbA5 and UmbA6) or more (UmbA4) sequence divergent domains predicted to function as lectins (Fig. 2a, Extended Data Fig. 2a,b and Supplementary Tables 1 and 4). With the exception of an intervening additional lectin domain in UmbA4, these domains belonged to various β-propeller-fold lectin families19. Unlike the UmbA proteins, UmbB proteins did not share significant sequence or predicted structural relatedness to characterized proteins. The predicted structure of these small proteins consisted of an extended N-terminal disordered region linked by a short helix to a ten-stranded β-sandwich (Fig. 2b).
Next we sought to interrogate protein–protein interactions (PPIs) between predicted Umb complex components. In these experiments, we focused on the trypsin domains of UmbA proteins (UmbA(T)) given the probable involvement of their C-terminal lectin domains in carbohydrate binding and the challenges we encountered trying to express their full-length form. Based on the assumption that PPIs involving UmbC would localize to the ALF repeats, we generated a DNA construct that fused the two sets of four repeats of UmbC1 into a ring, which removed the coiled-coil and C-terminal domains (UmbC1(ring)) (Extended Data Fig. 2c). Heterologous expression and co-IP studies provided evidence of direct interactions of UmbB1 with UmbA1(T), UmbA5(T) and UmbC1(ring) (Fig. 2c,d and Extended Data Fig. 2d–f). Consistent with our S. coelicolor UmbC IP findings, UmbA1(T) co-precipitated more strongly with UmbB1 than with UmbB2 or UmbB3, whereas UmbA5(T) co-precipitated to a similar degree with UmbB1–UmbB3 (Fig. 2d). Neither UmbA1(T) nor UmbA5(T) co-precipitated with a UmbB from the distantly related organism Actinoplanes philippinensis.
In the UmbC ring, ALF1 and ALF5 were predicted to bind each other, apparently providing interactions important for uniting the two ring halves. Consequently, these repeats adopted an orientation and presented a solvent-accessible surface distinct from that of the other repeats (Extended Data Fig. 3). We reasoned that if ALF repeats mediate UmbB binding to UmbC, this distinction would manifest as differential UmbB binding. Analyses of UmbB–UmbC interactions showed that UmbC1 displayed specificity for UmbB1, and that ALF2, but not ALF1, was sufficient to mediate this interaction (Fig. 2e,f). Furthermore, a construct composed of ALF2–ALF4 co-precipitated more efficiently with UmbB1 than the single ALF2 repeat, which indicated that multiple ALF repeats engage UmbB (Fig. 2f and Extended Data Fig. 2).
With experimentally determined PPIs between Umb proteins, we turned to AlphaFold to model their complexes. Notably, despite the sequence divergence among UmbB1–UmbB3 (39% average identity) and the trypsin domains of UmbA1 and UmbA5 (43% identity), the models consistently placed the extended N-terminal strands of UmbB1–UmbB3 into the prominent cleft of interacting UmbA proteins (Fig. 2g). In this configuration, a consensus tetrapeptide motif within the UmbB proteins (Ala-Val-Glu-Asp) contacts conserved UmbA residues lining their prominent groove, which corresponded to the substrate-binding cleft of trypsin proteins (Fig. 2h). One particularly strong predicted contact was a salt bridge between the Glu residue within this motif and Arg156 or Arg166 of UmbA1 or UmbA5, respectively. Non-conservative substitutions at these positions in UmbB1 and UmbA5 abrogated their interaction (Extended Data Fig. 4a). Despite the small size of UmbB, modelling suggested that the surfaces of UmbB1 that mediate UmbA and UmbC1 (ALF2) binding are non-overlapping (Fig. 2i). This idea was supported by our finding that excess UmbA5 or UmbC1 did not interfere with UmbC1 or UmbA5 binding to UmbB1, respectively (Fig. 2j,k).
Trypsin proteases utilize a Ser-His-Asp catalytic triad20. Alignment of UmbA1–UmbA6 with representative trypsin proteins showed that although the proteins share considerable sequence homology, no UmbA from S. coelicolor possessed the complete catalytic triad (Extended Data Fig. 4b). Moreover, we failed to detect catalytic activity from the purified trypsin domains of UmbA1 or UmbA5 using a universal trypsin substrate (Extended Data Fig. 4c,d). These data suggest that UmbA proteins utilize the trypsin fold in a non-canonical fashion to bind, but not cleave, the extended N terminus of their partner UmbB. This mode of binding seems to permit promiscuity in UmbA–UmbB interactions and leave a significant surface area of UmbB available for interactions with its other binding partner UmbC.
Structure of the Umb1 particle
The network of PPIs we uncovered between Umb proteins, combined with the multiplicity of ALF repeats in UmbC, suggested that the proteins could assemble into a large, multimeric particle. Relative to UmbC2 and UmbC3, UmbC1-based affinity purifications were more homogenous and high yielding; however, instability near the C-terminal tagging site motivated us to use the C terminus of UmbA1 as an alternative site for isolating the complex by affinity chromatography (Fig. 3a, Extended Data Fig. 5a and Supplementary Table 3). We first isolated UmbA1 from the supernatant of a S. coelicolor strain expressing a C-terminally octahistidine-tagged allele of the protein from its native chromosomal locus. Subsequent separation by size chromatography produced a complex composed predominantly of UmbA1, UmbA4–UmbA6, UmbB1 and UmbC1 (Extended Data Fig. 5b). Transmission electron microscopy (EM) of this negative-stained sample revealed that Umb1 particles adopt an umbrella-like morphology, which led us to name these as umbrella (Umb) toxin particles (Fig. 3b and Supplementary Fig. 2). The long, slender stalk of these particles extended about 300 Å, whereas their crown had a width of around 250 Å.
Using single-particle cryo-EM, we obtained a structure of the Umb1 complex at an overall resolution of 4.3 Å (Extended Data Fig. 6, Extended Data Table 1 and Supplementary Figs. 3 and 4). We subsequently improved the resolvability of the regions constituting each spoke using local refinement, which produced reconstructions reaching up to 4.0 Å resolution. This process supported model building and provided a blueprint of the interactions underlying particle assembly. Our maps enabled unambiguous placement of UmbC1 into the Umb1 particle. Although the entirety of the UmbC1 ring was clearly resolved at the centre of the umbrella crown, the density gradually decreased in quality towards the distal portion of its stalk. The C-terminal toxin and HINT domains of UmbC1, which, based on our model, would localize to the tip of the stalk, were therefore also not resolved in our map (Fig. 3c,d and Extended Data Fig. 6c,d). We postulate that flexibility within these regions relative to the rest of the Umb1 particle contributed to our inability to resolve this portion of the particle in our maps.
Extended Data Table 1.
In line with our finding that UmbB1 interacts with individual ALF repeats, we were able to confidently model UmbB1 protomers in complex with ALF repeats at the base of each spoke. To model the UmbA portion of the spokes, we considered several factors. Our biochemical data showed that Umb1 particles possess four distinct UmbA proteins and that UmbB1 interacts with these in a promiscuous manner. Therefore, Umb1 particles can theoretically assume 1,024 possible configurations, ranging in subunit diversity from five copies of a single UmbA protein to all four UmbA proteins present, with one of them contributing two copies. Owing to the conserved UmbA trypsin-like domain engagement by the N terminus of UmbB1, these configurations are anticipated to share similar overall structures. Given that our map is derived from >350,000 individual Umb1 particles, we assumed that the UmbA portion of each spoke is effectively an ensemble of the four UmbA proteins in a stoichiometry consistent with their representation in our sample. This assumption posed a specific challenge for generating a discrete Umb1 particle model. We therefore elected to model UmbA1 at each spoke position because of the following reasons: UmbA1 is the cognate UmbA for the Umb1 particle; our purification of Umb1 particles on the basis of epitope-tagged UmbA1 ensured that UmbA1 populates at least one spoke in each particle imaged; UmbA1 is typical of Umb1-associated UmbA proteins in that it contains a single lectin domain (unlike UmbA4); and UmbA1 is accommodated well within our maps at each spoke position.
Our structure provided insights into many facets of Umb toxin biology. The interaction of the UmbA trypsin-like domain with UmbB1 placed the lectin domains of UmbA proteins at the distal ends of the Umb1 spokes. At this location, the domains are readily accessible to ligands, an arrangement compatible with a role in target cell receptor engagement. The structure confirmed that UmbC ALF1 and ALF5 do not bind UmbB1. Notably, it also revealed that ALF6 is not bound by UmbB1, producing a particle with five spokes rather than six (Fig. 3c,d). Subsequent IP experiments could not detect UmbB1–ALF6 binding, a result consistent with our structure (Fig. 3e). We therefore inspected the UmbB1–ALF interface to identify the molecular basis of this selectivity. In spite of substantial variability in their sequences, ALF repeats bound UmbB1 at a stereotyped location, with residues in two of its short helical segments providing many key contacts (Fig. 3f). At several positions within this region that are highly conserved across each UmbB1-binding ALF repeat, ALF6 harboured dissimilar amino acids (Fig. 3f and Extended Data Fig. 7a). To test the hypothesis that the amino acids in ALF6 at these positions prevent UmbB1 binding, we generated an ALF2 variant bearing the ALF6 residue at position four of its ALF repeat (ALF2(I4Q)). IP experiments demonstrated that this substitution abolished ALF2 binding to UmbB1 (Fig. 3e). Together, these findings provide an explanation for the lack of a sixth spoke in the Umb1 particle.
Our ability to link UmbB binding by ALF repeats to a major ultrastructural feature of Umb particles prompted us to explore whether the five-spoke arrangement of Umb1 is likely to be representative of other Umb particles. Notably, RoseTTAFold generated confident models for UmbB1–ALF complexes that closely matched those in our structure for each of the UmbB1-binding ALFs, but not for ALF6 or the other non-UmbB1-binding repeats (Extended Data Fig. 7b). Given this congruence with our experimental data, we used RoseTTAFold to model analogous complexes between UmbB2, UmbB3 and the ALF repeats of their corresponding UmbC proteins. As found for the UmbC1 ALF repeats, only ALF2–ALF4, ALF7 and ALF8 of UmbC2 and UmbC3 were confidently predicted to associate with their respective UmbB proteins. This result indicated that the five-spoke configuration of the Umb1 particle may be a general feature of Umb toxins.
Finally, the Umb1 structure highlighted UmbB as a remarkable adaptor protein and keystone component of Umb toxin particles. That is, it interacts with five sequence divergent ALF repeats on one face and four different UmbA proteins on another. We are unaware of any other characterized protein that displays this degree of binding partner plasticity.
A Umb toxin selectively targets streptomycetes
Functional predictions for the toxin domains associated with UmbC led us to speculate that Umb particles act on bacterial targets. Indeed, heterologous expression of the C-terminal domains of the UmbC proteins of S. coelicolor led to a significant reduction in bacterial viability (Fig. 4a). The toxin domain of UmbC1 was particularly potent in these assays, and we confirmed the capacity of this predicted cytosine deaminase to introduce widespread C•G-to-T•A mutations in the DNA of intoxicated cells (Extended Data Fig. 8a–d). However, preliminary experiments measuring the impact of our purified Umb1 particle on the growth of a limited number of candidate bacteria did not identify clear targets of the toxin. To screen for Umb-targeted species in a more broad manner, we generated large quantities of concentrated Umb-particle-enriched supernatant (Umb supernatant) from cultures of wild-type S. coelicolor and a control strain bearing deletions in each umb locus (Δumb supernatant) (Extended Data Fig. 9a). Next, we used this material to screen for toxin targets among a collection of 140 diverse bacteria. Given the propensity of polymorphic toxins to act on closely related organisms, we included an abundance of Streptomyces spp. and other actinobacterial species in our screen. This screen identified two candidate target species of the Umb toxin particles of S. coelicolor (Z score > 2.0), both of which are other Streptomyces spp.: S. ambofaciens (three strains) and S. griseus (Fig. 4b, Extended Data Fig. 9b and Supplementary Table 5). Subsequent time-course experiments with these species and a control strain that was not a hit in our screen demonstrated the capacity of S. coelicolor Umb supernatant to fully and specifically inhibit target cell growth in a manner dependent on Umb toxins. (Fig. 4c and Extended Data Fig. 9c).
The S. griseus strain hit in our screen is a type strain that is amenable to genetic manipulation and straightforward to cultivate21. We therefore selected this target organism to further characterize Umb-dependent toxicity. To identify the Umb particle (or particles) responsible for inhibiting S. griseus growth, we tested the toxicity of Umb supernatant derived from S. coelicolor strains unable to synthesize individual Umb particles. Inactivation of umbC2, but not umbC1 or umbC3, abrogated the Umb supernatant growth inhibitory activity towards the organism (Fig. 4d). Genetic complementation of ΔumbC2 further established the crucial role of UmbC2 in S. griseus growth inhibition by Umb supernatant. We next performed growth competition experiments to determine whether the level of Umb2 produced by S. coelicolor during co-culture is sufficient to intoxicate target cells. Notably, a S. coelicolor strain lacking Umb2 function was >600-fold less fit than the wild-type in co-culture with S. griseus (Fig. 4e). In summary, these data show that the secreted Umb toxins of S. coelicolor potently inhibit the growth of other Streptomyces spp.
The Umb2 particle inhibits hyphal growth
Streptomycetes undergo a complex developmental programme that proceeds from spore germination to the formation of a hyphal network comprising a vegetative mycelium, followed by production of an aerial mycelium and sporulation. To gain insight into the possible ecological role of Umb toxin particles during competition among Streptomyces, we sought to determine the developmental stage at which target Streptomyces spp. are susceptible to Umb-particle-mediated intoxication. Single-cell-level analysis of time-lapse microscopy data revealed that Umb supernatant from wild-type S. coelicolor does not affect spore germination in the Umb2 target S. griseus (Fig. 4f,g, Extended Data Fig. 9d and Supplementary Video 1). Instead, similar to spores treated with culture medium or ΔumbC2 supernatant, those treated with Umb supernatant increased in size and elaborated nascent germ tubes, phenomena not observed under conditions non-permissive to germination. However, spores treated with medium or ΔumbC2 supernatant completed germination and formed hyphae, whereas Umb-supernatant-treated cells arrested at the nascent germ tube phase (Fig. 4f,g and Supplementary Video 1). Following replacement of the Umb supernatant with medium, a proportion of the population resumed vegetative growth after a variable lag period, whereas other cells remained inhibited (Extended Data Fig. 9d). We speculate that the vegetative bacterial surface area exposed to the Umb particle during germination determines the dose of toxin received, and therefore influences the subsequent fate of the cell.
Our data also revealed that the addition of Umb supernatant to actively growing mycelia produces an immediate, complete and persistent growth arrest (Fig. 4f,g and Supplementary Video 1). We did not observe lysis of intoxicated cells, a result consistent with the predicted pore-forming activity of UmbC2. Together, these results demonstrate that the Umb2 particle acts specifically to inhibit the formation of vegetative mycelia in target organisms. Transcriptomics studies and our proteomics data showed that Umb toxins are also produced during this phase of the Streptomyces life cycle, which suggests that these toxins have a physiological function in mediating the outcome of competition among populations of vegetatively growing Streptomyces22,23. This effect is distinct from that induced by small-molecule antimicrobials produced by streptomycetes, which generally target a much broader group of organisms for the purpose of limiting access to nutrients released by lysed kin cells during aerial hyphae formation3.
Diversity and distribution of Umb toxins
The Umb particles of S. coelicolor confer a significant advantage in competition with at least two species. Given the prevalence of antagonistic interactions among bacterial species, we reasoned that others might harbour and utilize Umb toxins in an analogous fashion. Leveraging our S. coelicolor findings pertaining to the particle constituents and genetic organization of Umb1–Umb3, we searched publicly available bacterial genomes to broadly define the distribution of Umb toxins. In total, we identified 1,117 genomes, deriving from 875 species, that we predicted to possess the capacity to synthesize one or more Umb particles (UmbB and UmbC within ten genes of each other) (Supplementary Table 1). More than half of these corresponded to species within the order Streptomycetaceae; the remaining umb loci-containing species were distributed among six other orders of Actinobacteria (Fig. 5a). In multiple bacteria capable of synthesizing distinct Umb particles, we identified UmbA proteins encoded at loci unlinked to those encoding UmbB and UmbC (Supplementary Table 1 and Supplementary Fig. 5). This result suggests that the association of ‘orphan’ UmbA proteins with multiple particles, as observed in S. coelicolor, may be common. It is notable that we did not find support for Umb particle production by bacteria outside Actinobacteria. If the action of Umb toxins is restricted to related species or to bacteria that exhibit mycelial growth, this finding could reflect the phylogenetic limits of targeting through this mechanism.
We found 77 divergent toxin families associated with the UmbC proteins identified in our analyses (Supplementary Table 2). Although many of these had sequence similarity to toxin domains associated with other polymorphic toxin systems, many, including the two most frequently observed in UmbC proteins, represented previously unrecognized families (4TM tox, Ntox71). Functional predictions suggested that as a group, Umb toxins act upon a marked range of essential cellular processes (Fig. 5b and Supplementary Table 2).
A distinct feature of Umb particles uncovered by our work in S. coelicolor is their incorporation of variable lectin domains through promiscuous UmbA binding. Taken together with their accessibility at the ends of Umb particle spokes, we propose that these domains mediate target cell binding and, at least in part, underpin the species selectivity of intoxication that we observed. Examination of the 882 UmbA proteins identified by our search highlighted extraordinary family-level and within family-level diversity in the lectin domains associated with these proteins (Supplementary Table 4). Moreover, we identified marked structural diversity among UmbA proteins, including those that, like S. coelicolor UmbA4, encode multiple distinct lectin domains, and others that are fused to UmbB-like domains (Fig. 5c). AlphaFold models of the latter predicted that despite their fusion, the predominant engagement mode of the two domains mirrors that which we identified for the individually encoded proteins. That is, an extended N-terminal structure of the UmbB domain inserts within the major cleft of the trypsin-like domain. Taken together, the diversification of toxin and lectin domains associated with Umb toxin particles provides evidence for a molecular arms race among producer and target cells, wherein target cells can escape intoxication either by receptor modification or by acquiring a downstream, direct toxin resistance mechanism.
Discussion
Umb toxin particles represent a previously unrecognized component of the antibacterial arsenal of Streptomyces. We postulate that Umb particles mediate dynamic short-range antagonism among the vegetative mycelia of competing species vying for the same niche. This would provide the evolutionary pressure driving Umb particle selectivity and diversification, as the overlap in niches of highly related bacteria increases their probability of repeated encounters2,6,24. The chemical and biophysical properties of Umb particles are also consistent with this role. Umb toxin particle complexity and apparent vulnerability to proteases or other insults suggests that they are short-lived and therefore unable to act at longer length scales. Indeed, these properties of the Umb particles may underlie why such potent toxins escaped detection for the more than 100 years that scientists have been studying antagonistic interactions among Streptomyces25.
Polymorphic toxins are found in a wide range of organisms, function in many contexts and access their targets through a diverse set of delivery systems11,16. Yet, it is difficult to identify a characterized polymorphic toxin system that represents a close analogue of the Umb particle. In certain respects, colicins—antibacterial proteins produced by Escherichia coli—might be considered most comparable. Like Umb particles, these are secreted proteins that mediate interactions among closely related strains26. However, there are a multitude of features that distinguish colicins and Umb toxin particles, and even their few similarities are superficial. For example, colicins typically target strains that belong to the species of the producer cell, and the diversity of receptor protein binding domains in colicins (<10) is eclipsed by the diversity of carbohydrate-binding lectin domains associated with Umb particles27. Perhaps the starkest of differences between the two polymorphic toxins is their mechanism of secretion, which further highlights their apparently disparate physiological functions. Colicins access the extracellular milieu through a non-canonical mechanism that requires the action of bacteriocin release proteins, referred to as lysis or killing proteins for the death they inflict on producer cells28. Colicin expression is thereby under the control of a repressor responsive to cellular damage, and the utilization of these toxins can be categorized as an altruistic behaviour29. By contrast, UmbA–UmbC each possess N-terminal Sec (UmbA and UmbB) or TAT (UmbC) secretion signals, and we did not find data to suggest that the release of Umb particles is detrimental to producer cells. Our work indicates that continued exploration of proteins containing polymorphic toxin domains in diverse bacteria may reveal additional structurally and mechanistically unprecedented toxins.
This work identified the Umb toxin components of S. coelicolor, defined their pairwise interactions, revealed the ultrastructure of the particle they form and established the role of these particles in interbacterial antagonism among Streptomyces spp. Nevertheless, important open questions for future studies remain. With regard to target cells, it is unclear what roles the UmbA lectin domains have in recognition, the identity of the receptor (or receptors), what role the stalk has and how toxins with cytoplasmic targets cross the membrane (Fig. 5d). In the producer cell, key open questions include how the umb genes are regulated, what role immunity proteins have in protection against cis and trans intoxication, how and where Umb particles assemble, and whether Umb particles from across Actinobacteria are universally used to mediate interbacterial antagonism. It is also of interest to consider the potential biotechnological and therapeutic applications of Umb particles. Mycobacterium tuberculosis and Corynebacterium diphtheriae are two important human pathogens that, as Actinobacteria, are potential Umb targets and for which resistance to traditional antibiotics is of growing concern30,31. In summary, our work identified an antibacterial toxin particle with promise to expand our knowledge of the mechanisms, ecological implications and biotechnological applications of interbacterial antagonism.
Methods
Bacterial strains and culture conditions
A complete list of strains used in this study can be found in Supplementary Table 6, and all strains generated in this study are available upon request from the corresponding author. Escherichia coli strain DH5α was used for plasmid maintenance, strain ET12567 (pUZ8002) for interspecies conjugation and strain Rosetta(DE3) for protein expression. E. coli strains were grown in Lysogeny broth (LB) at 37 °C with shaking or on LB medium solidified with 1.5% w/v agar. S. aureus strain RN4220 was used for plasmid maintenance and protein expression. S. aureus was grown in B2 broth, LB supplemented with 0.2% (w/v) glucose (LBG) or on LBG solidified with 1.5% (w/v) agar. Strain S. coelicolor A3(2) was used in Umb characterization studies. Unless otherwise noted, this and other Streptomyces spp. used were cultivated in R5 or TSBY liquid medium at 28 °C in baffled flasks with glass beads (3 mm diameter) shaking at 220 r.p.m. or on TSB, ISP2, ISP4 or SFM solidified with 1.5% w/v agar. Growth conditions of diverse bacterial species used in the broad Umb sensitivity screen can be found in Supplementary Table 5. Media were supplemented as needed with antibiotics at the following concentrations: carbenicillin (150 µg ml−1, E. coli), apramycin (50 µg ml−1, E. coli and Streptomyces), kanamycin (50 µg ml−1, E. coli), gentamicin (15 µg ml−1, E. coli), trimethoprim (50 µg ml−1, E. coli and Streptomyces), chloramphenicol (25 µg ml−1, E. coli; 10 µg ml−1, S. aureus) and hygromycin (25 µg ml−1, E. coli).
Plasmid construction
Plasmids used in this study, details of plasmid construction and primers used in this work are provided in Supplementary Table 6. Plasmids generated in this study are available upon request from the corresponding author. Primers and synthetic DNA fragments were obtained from Integrated DNA Technologies. All plasmid constructs were designed using Geneious Prime and generated using Gibson assembly, and all constructs were confirmed by sequencing. For heterologous expression of Umb complex proteins in E. coli, the genes were amplified and inserted into NcoI-digested and XhoI-digested pET-22b(+) or NdeI-digested and XhoI-digested pET-28b(+) to generate C-terminal or N-terminal hexahistidine fusions, respectively. VSV-G fusions, point mutations and linkers were introduced to genes amplified from the S. coelicolor genome through the cloning primers. umbC1(ring) expression plasmids were constructed by amplifying ALF1–ALF4 (residues A46–A241) and ALF5–ALF8 (residues A532–H798) as two DNA fragments with a linker of two GGGGS repeats introduced in the cloning primers.
Plasmids used for the heterologous expression of UmbC1 and UmbD1 in E. coli for mutational profiling were pSCrhaB2 and pPSV39-CV, respectively. To generate these plasmids, the genes were amplified from synthesized DNA fragments codon optimized for expression in E. coli. Plasmid pEPSA5 was used for the heterologous expression of various umbC toxin domains in S. aureus. The toxin domain was either inserted into digested plasmid alongside a N-terminal 3×Flag tag fragment or alongside a signal-sequence-containing 3×Flag tag fragment, with a N-terminal 3×Flag tag being introduced through the cloning primers. These Gibson reactions were transformed into S. aureus RN4220 through electroporation, and transformants were maintained in LB supplemented with 0.2% w/v glucose (to repress toxin expression) and chloramphenicol.
S. coelicolor genetic manipulation was conducted using a derivative of the suicide vector pKGLP2 (ref. 32), in which the hygromycin-resistance cassette (hyg) was replaced with the apramycin resistance gene (aac(3)IV) and the promoter from pSET152 (ref. 33). This plasmid, pKGLP2a, was generated by amplifying the vector backbone of pKGLP2 and the apramycin resistance cassette from pSET152 by PCR and combining by Gibson assembly. Constructs for introducing deletions, epitope tags and point mutations in the S. coelicolor genome with pKGLP2a were generated using Gibson assembly of 1.5–2 kb arms flanking the site of modification. Complementation of the umbC2 mutation in S. coelicolor was performed using pSET152, into which umbC2 and its native promoter were cloned using Gibson assembly.
Structural modelling of Umb proteins and PPIs
Structural predictions for UmbC1–UmbC3, UmbA1–UmbA5 and UmbB1–UmbB3 were made using AlphaFold2 (ref. 18). MSAs were generated by running hhblits34 against UniRef30 (ref. 35) and BFD36. These multiple sequence alignments (MSAs) were uploaded to ColabFold37 and a total of five AlphaFold predictions were generated for each target. Only UmbC3 generated predictions that were consistent with the cryo-EM density of the protein, whereas models for UmbC1 and UmbC2 all resulted in the long coiled-coil folding back on itself. This result prompted the decision to use the UmbC3 model as a template structure for predicting UmbC1 and UmbC2, which enabled the generation of models with a straight coiled-coil consistent with the cryo-EM density. The models with highest predicted local distance difference test (lDDT) were selected for each.
RoseTTAFold2 (ref. 38) was used to predict UmbA–UmbB protein complex structures. MSAs were generated as described above for UmbC1–UmBC3. Paired MSAs for all UmbA–UmbB pairs were generated by matching taxonomy identifiers according to previously published methods39. These paired MSAs were provided as inputs to RoseTTAFold2 and produced confident predictions in all cases (predicted lDDTs > 0.8). A similar method was used to compute predictions for interactions between UmbB and individual ALF repeats of UmbC1–UmbC3. In brief, MSAs were generated for UmbB1, UmbB2, UmbB3, UmbC1, UmbC2 and UmbC3 by running HHblits34 against Uniref30 and BFD, and paired MSAs for all three pairs were generated by maxing taxonomy identifiers. Then, predictions were made for each UmbB model against each of the eight ALF repeats of the corresponding UmbC model. Rather than regenerating the MSA for individual repeats, the paired full-length MSA was trimmed over the region of each repeat.
Owing to the availability of cryo-EM data, models for UmbC1–UmbB1 were generated first. Three different variants of repeat modelling were attempted: (1) trimming to exactly the two-helix repeat; (2) extending by five residues on either side of the repeat; and (3) extending by ten residues on either side of the repeat. To evaluate each modelling variant, the predicted structure and predicted interface error of the UmbC–UmbB interface18 were considered. All three trimming approaches produced results consistent with the EM data, but the most distinct signal in terms of interfacial predicted interface error was achieved by adding in ten residues of padding. This strategy was applied to UmbC2–UmbB2 and UmbC3–UmbB3.
Construction of genetically modified Streptomyces strains
The pKGLP2a suicide plasmid was used to generate genetically modified S. coelicolor strains, including gene deletion mutants and strains expressing chromosomally encoded, epitope-tagged proteins as previously described32, with modifications described below. Genetic modification constructs were transferred to S. coelicolor by intergeneric E. coli–Streptomyces conjugation using donor strain E. coli ET12567 (pUZ8002) as previously described40. In brief, overnight cultures of E. coli ET12567 (pUZ8002) harbouring the plasmid to be transferred were grown in LB supplemented with chloramphenicol, kanamycin and apramycin. These cultures were washed, concentrated and combined with Streptomyces spores following a 10-min 50 °C heat-shock treatment. The mixture was plated on SFM medium supplemented with 10 mM MgCl2 and incubated at 30 °C for 16–20 h. The plate was then overlaid with 1 ml sterilized dH2O supplemented with trimethoprim and apramycin. Incubation was continued at 30 °C until transconjugants appeared and were restreaked onto medium supplemented with trimethoprim and apramycin. Confirmed transconjugants were grown in non-selective TSBY medium for about 36 h. These cultures were then restreaked on non-selective SFM agar and incubated at 30 °C for 7 days to produce spores. Spores were then collected, diluted and plated on SFM agar supplemented with 50 mg l–1 5-bromo-4-chloro-3-indolyl-b-d-glucuronide. After incubation for 36 h, white colonies were screened for the presence of the desired allele by PCR. Apramycin-resistant S. griseus and complemented S. coelicolor ΔumbC2 were generated through intergeneric transfer of the integrative vector pSET152 or pSET152::umbC2, respectively, delivered through conjugation in a similar manner to pKGLP2a.
IP–MS analysis of UmbC-interacting proteins from S.coelicolor
Spores of S. coelicolor strains containing umbC1–V, umbC3–V or umbA1–V at the native loci were inoculated in R5 medium and grown for 36 h then back diluted 1:200 in 50 ml R5 medium and further grown for 24–30 h until the optical density at 600 nm (OD600) reached 3–4. Spores of S. coelicolor containing umbC2–V at the native locus were inoculated in 50 ml TSBY medium and grown for approximately 36 h until the OD600 reached 4–5. For each strain, 10 ml of the cell culture, including both the cells and culture supernatant, was then mixed with 2.5 ml 5× lysis buffer (750 mM NaCl, 100 mM Tris-HCl pH 7.5, 10% glycerol (v/v), 1 mg ml−1 lysosome and 1 mU benzonase). Cells were lysed by sonication and the cellular debris was removed by centrifugation at 35,000g for 30 min. VSV-G-tagged proteins were enriched by incubation of cell lysates with 40 μl anti-VSV-G agarose beads at 4 °C for 4–5 h with constant rotation. The agarose beads were then pelleted by centrifugation at 300g for 2 min, washed 3 times with 10 ml wash buffer (150 mM NaCl, 2% glycerol (v/v) and 20 mM Tris-HCl pH 7.5) and then washed 3 times with 10 ml 20 mM ammonium bicarbonate. Anti-VSV-G agarose beads and bound proteins were then treated with 10 μl of 10 μg μl–1 sequence-grade trypsin (Promega) for 16 h at 37 °C with gentle shaking. After digestion, the agarose beads and peptides were gently mixed and centrifuged at 300g for 2 min. After collection of the supernatant, 90 μl of 20 mM ammonium bicarbonate was added to the beads, gently mixed and centrifuged again. The supernatant was collected and combined as the peptide fraction. The mixture was reduced with 5 mM tris(2-carboxyethyl) phosphine hydrochloride for 1 h at 37 °C, followed by alkylation using 14 mM iodoacetamide for 30 min in the dark at room temperature. The alkylation reaction was quenched by adding 5 mM 1,4-dithiothreitol. Acetonitrile (ACN) and trifluoroacetic acid (TFA) were added to the samples for a final concentration of 5% (v/v) and 0.5% (w/v), respectively. Then, the samples were applied to MacroSpin C18 columns (7–70 μg capacity) that had been charged with 100% ACN, LC–MS-grade water and 0.1% TFA. Bound peptides were washed twice with 0.1% TFA and then eluted with 80% ACN with 25 mM formic acid. The dried peptides were dissolved in 5% ACN with 0.1% formic acid and analysed by LC–MS/MS as previously described41. Data were analysed using MaxQuant42, and filtered to remove noise from low abundance proteins with five or fewer spectral counts in IP samples. Enrichment of proteins in the IP samples was determined by dividing the relative abundance of each protein passing the filtering criteria in the IP samples by its relative abundance in the control.
Purification of heterologously expressed Umb proteins
A subset of the PPI studies and the protease activity assay used purified, heterologously expressed Umb proteins. To purify these proteins, overnight cultures of E. coli Rosetta(DE3) carrying pET-22b(+) or pET-28b(+) constructs expressing the protein of interest were back diluted 1:300 in 2×YT broth and grown at 37 °C with shaking at 220 r.p.m. until the OD600 reached 0.4. The incubation temperature was reduced to 18 °C, and after 30 min, IPTG was added to a final concentration of 0.3 mM and the cultures were incubated for a total of 18 h. Cells were then collected by centrifugation and resuspended in lysis buffer containing 200 mM NaCl, 50 mM Tris-HCl pH 7.5, 10% glycerol (v/v), 5 mM imidazole, 0.5 mg ml–1 lysosome and 1 mU benzonase. Cells were then lysed by sonication and the cellular debris removed by centrifugation at 35,000g for 30 min at 4 °C. The 6×His-tagged proteins were purified from lysates using a 1 ml HisTrap HP column on an AKTA fast protein liquid chromatographer (FPLC). Column-bound protein was eluted using a linear imidazole gradient from 5 to 500 mM. Protein purity was assessed by SDS–PAGE and Coomassie staining. The fractions with high purity were concentrated using 10 kDa cut-off Amicon filters and then further purified by FPLC using a HiLoad 16/600 Superdex 200 pg column (GE Healthcare) equilibrated with sizing buffer (500 mM NaCl, 50 mM Tris-HCl pH 7.5 and 10% glycerol (v/v)).
PPI assays
Interactions between Umb proteins were probed using proteins heterologously expressed in E. coli. For tests of the interactions between UmbB1, UmbA5(T) and UmbC1(ring), 400 μl equilibration buffer (200 mM NaCl, 50 mM Tris-HCl pH 7.5 and 10 mM imidazole) containing 5 µg of purified UmbB1–H, UmbA5(T)–H or UmbC1(ring)–H was mixed with 400 μl E. coli cell lysate containing UmbA5(T)–V, UmbC1(ring)–V or UmbB1–V, respectively. To assess input protein levels, 40 μl of these samples was mixed with 4× Laemmli loading buffer (Bio-Rad) and boiled for 20 min at 95 °C for western blot analysis. The remaining protein mixtures were incubated with 50 μl Ni-NTA agarose beads (Qiagen) at 4 °C for 1.5 h with constant rotation. Agarose beads were pelleted by centrifugation at 300g for 3 min and washed 5 times with 1.4 ml wash buffer (500 mM NaCl, 50 mM Tris-HCl pH 7.5 and 25 mM imidazole). Proteins bound to the Ni-NTA resin were then eluted with 100 μl elution buffer (500 mM NaCl, 50 mM Tris-HCl and 300 mM imidazole). The eluate was mixed with 4× Laemmli loading buffer, boiled and subjected to western blot analysis. For the competitive binding experiments between UmbB1 and its partners UmbA5(T) and UmbC1(ring), 3 μg of purified UmbB1–H was incubated with 50 μl Ni-NTA agarose beads at 4 °C for 1 h with constant rotation, followed by 2 washes with equilibration buffer. Next, 400 μl equilibration buffer with 2-fold molar excess of purified competitor UmbC1(ring)–H or UmbA5(T)–H was mixed with 400 μl E. coli cell lysates containing UmbA5(T)–V or UmbC1(ring)–V, respectively. The protein mixture was further incubated with UmbB1–H bound to Ni-NTA agarose beads and then washed and processed as described above. For the other PPI assays (Figs. 2d–f and 3e and Extended Data Fig. 5a), E. coli cell lysates containing 6×His-tagged bait proteins were mixed directly with E. coli cell lysates containing VSV-G-tagged target proteins then incubated with Ni-NTA agarose beads, washed and processed as detailed above.
Western blot analysis
To analyse the PPI assays performed using heterologously expressed Umb proteins, equal volumes of input samples or co-IP samples were resolved using SDS–PAGE then transferred to nitrocellulose membranes (Bio-Rad). Following transfer, membranes were blocked in TBST (10 mM Tris-HCl pH 7.5, 150 mM NaCl and 0.1% w/v Tween-20) with 5% w/v BSA (RPI) at room temperature for 1 h. Primary antibodies (anti-His HRP-conjugated (Qiagen) or anti-VSV-G (Millipore Sigma)) were then added at a dilution of 1:5,000 and incubated at room temperature for 1 h. Blots were then washed four times with TBST, and anti-VSV-G blots were incubated with secondary antibody (anti-rabbit HRP-conjugated (Millipore Sigma) diluted 1:5,000 in TBST) at room temperature for 1 h. Finally, blots were washed four times with TBST and were developed using Clarity Max Western ECL Substrate (Bio-Rad) and visualized using an Invitrogen iBright 1500 imager.
Trypsin assays
The protease activity of purified UmbA1 and UmbA5 trypsin domains was assessed using universal protease substrate (Millipore Sigma) following the manufacturer’s protocol. In brief, 50 μl substrate solution (0.4% casein (w/v)) and 50 μl incubation buffer (0.2 M Tris-HCl pH 7.8 and 0.02 M CaCl2) were combined with 100 μl sample buffer (300 mM NaCl and 50 mM Tris-HCl pH 7.8) containing 500 ng purified protein (UmbA1(T) or UmbA5(T)), 100 ng trypsin (Promega, positive control) or no protein (blank). The mixture was incubated at 37 °C for 15 min before adding 480 μl stop reagent (5% trichloroacetic acid (w/v)). The samples were further incubated 37 °C for 10 min and centrifuged at 13,000g for 5 min. Next, 400 μl of the reaction mixture was combined with 600 μl assay buffer (0.5 M Tris-HCl, pH 8.8) in a cuvette and absorbance was measured at 574 nm.
Purification of the Umb1 particle for structural studies
S. coelicolor spores expressing UmbA1–8×His from the native locus were inoculated into 30 ml R5 medium and incubated at 30 °C with shaking at 220 r.p.m. for 36 h. Cultures were back diluted 1:200 in 50 ml R5 for a total combined culture volume of 700 ml and incubated for 24–30 h, until the OD600 reached 4. Cells were then pelleted by spinning at 21,000g for 45 min and the resulting supernatant was filtered (GenClone 25-229, Vacuum Filter Systems, 1,000 ml PES Membrane, 0.22 µm). Next, 600 ml supernatant was combined with 150 ml 5× lysis buffer (1 M NaCl and 250 mM Tris-HCl pH 7.5) and run over a 1 ml HisTrap FF column on an AKTA FPLC purification system to purify the His-tagged proteins. The bound proteins were eluted using a linear imidazole gradient from 0 to 300 mM. Collected fractions were pooled and concentrated using a 100 kDa cut-off Amicon concentrator until reaching a final volume of 600 μl. The protein sample was further purified by FPLC using a Superose 6 Increase 10/300 GL column (GE Healthcare) equilibrated in sizing buffer (150 mM NaCl, 20 mM Tris-HCl pH 7.5 and 3% glycerol) (v/v)). Each fraction was assessed for purity by SDS–PAGE and silver staining. The fractions with the highest purity and concentration were used for negative-stain EM or cryo-EM.
Negative-stain EM
Purified Umb1 particles were diluted to 0.01 mg ml–1 and immediately subject to adsorption to glow-discharged carbon-coated copper grids for 60 s followed by 2% uranyl formate (w/v) staining. Micrographs were recorded using Leginon43 on a 120 KV FEI Tecnai G2 Spirit with a Gatan Ultrascan 4,000 4k × 4k CCD camera at ×67,000 nominal magnification. The defocus ranged from −1.0 to −2.0 µm and the pixel size was 1.6 Å. The parameters of the contrast transfer function (CTF) were estimated using CTFFIND44. All particles were picked in a reference-free manner using DoG Picker45. The particle stack from the micrographs was pre-processed in Relion46. Particles were re-extracted with a binning factor of 4, resulting in a final box size of 80 pixels and a final pixel size of 6.4 Å. The reference-free 2D classification was performed using CryoSPARC47.
Cryo-EM sample preparation, data collection and data processing
Cryo-EM grids of the Umb complex were prepared using two separate methods and data were combined during data processing. For the first dataset 3 µl of 0.1 mg ml–1 protein samples was loaded onto freshly glow-discharged lacey grid with a thin layer of evaporated continuous carbon before plunge-freezing using a Vitrobot Mark IV (ThermoFisher Scientific) with a blot force of −1 and 2.5 s blot time at 100% humidity and 22 °C. A total of 18,975 movies were collected at a defocus range between −0.2 and −3 μm. For the second dataset, 3 μl of a 3 mg ml–1 purified Umb1 particle sample was loaded onto freshly glow-discharged R 2/2 UltrAuFoil grids before plunge-freezing using a Vitrobot Mark IV (ThermoFisher Scientific) with a blot force of 0 and 6 s blot time at 100% humidity and 22 °C. A total of 3,942 movies were collected at a defocus range between −0.5 and −2.5 μm.
For both datasets, the data were acquired using a FEI Titan Krios transmission electron microscope operated at 300 kV and equipped with a Gatan K3 direct detector and Gatan Quantum GIF energy filter, operated in zero-loss mode with a slit width of 20 eV. Automated data collection was carried out using Leginon43 at a nominal magnification of ×105,000 with a pixel size of 0.843 Å. The dose rate was adjusted to 15 counts per pixel per s, and each movie was acquired in super-resolution mode fractionated in 75 frames of 40 ms. Movie frame alignment, estimation of the microscope CTF parameters, particle picking and extraction were carried out using Warp48. Particles were extracted with a box size of 304 pixels with a pixel size of 1.686 Å.
Two rounds of reference-free 2D classification were performed using CryoSPARC47 to select well-defined particle images. After 2D classification, initial models were generated with ab initio reconstruction in cryoSPARC. The initial models were used as references for 3D heterogenous refinement. Particles belonging to classes with the best resolved umbrella-like morphology were selected. To further improve particle picking, we trained the Topaz picker on Warp-picked particle sets belonging to the selected classes after heterogeneous 3D refinement. The particles picked using Topaz were extracted, and particles were subjected to two rounds of 2D classification and heterogenous 3D refinement in cryoSPARC47. Particle picking with Topaz improved the number of unique 2D views. The two different particle sets picked from Warp and Topaz were merged, and duplicate particle picks were removed using a minimum distance cut-off of 60 Å. The particles from both the first and second datasets were subsequently combined. 3D refinements were carried out using non-uniform refinement and the particles were transferred from cryoSPARC to Relion using pyem (https://github.com/asarnow/pyem) to be subjected to the Bayesian polishing procedure implemented in Relion49. Subsequent 3D refinements in cryoSPARC used heterogeneous refinements to remove junk particles and non-uniform refinement50 along with per-particle defocus refinement to produce the final reconstruction at 4.3 Å resolution comprising 386,275 particles. The resulting map showed clear density for the overall quaternary architecture and secondary structure of the Umb1 particle. To further improve the density of each spoke, local refinements were performed using soft masks comprising each ternary complex (UmbC1, UmbB1 and UmbA1) using cryoSPARC47, which produced final resolutions of 4.0–4.14 Å. The best resolved map that produced the 4.0 Å map after local refinement unambiguously showed that the ALF domain of UmbC, UmbB1 and UmbA1 can be fitted into the density of the local refinement map. Reported resolutions are based on the 0.143 gold-standard Fourier shell correlation (FSC) criterion and FSC curves were corrected for the effects of soft masking by high-resolution noise substitution51,52. Local resolution estimation was carried out using cryoSPARC47.
Umb1 particle model building and refinement
All models were built and refined by iterating between manual rebuilding and refinement in Coot53 and Rosetta54. For the ALF domain of the UmbC1 with UmbB1 and UmbA1 structure, AlphaFold models were used as a starting point. The relevant segments of the ALF domain with UmbB1 and UmbA1 were built into the locally refined map and the atomic coordinates of the disordered regions were removed. The final model of the ALF domain with the UmbB1 and UmbA1 structure was refined and relaxed with Rosetta, using the 4.0 Å locally refined sharpened and unsharpened maps54. For the full Umb1 structure, the AlphaFold model of UmbC1 and locally refined ALF domain with the UmbB1 and UmbA1 structure were used as a starting point to manually rebuild models. The ALF domain, UmbB1 and UmbA1 model from local refinement were fitted into each of the five spoke densities. The final Umb1 complex model including UmbA1 and UmbB1 from each spoke and UmbC1 was subsequently refined and relaxed with Rosetta using sharpened and unsharpened maps54. Map figures were generated with dust hidden (size 5) and coloured using the ‘color near atom’ command (range 10) in ChimeraX.
UmbC toxicity analysis in S.aureus
For analysis of the toxicity of UmbC toxin domains in a heterologous host, toxin domains were cloned into the xylose-inducible plasmid pEPSA5. The deaminase and lipid II phosphatase domains were derived from UmbC1 and UmbC3, respectively, of S. coelicolor. The 4TM tox domain was derived from Streptomyces anulatus. Plasmids harbouring the toxin of interest or empty vector were isolated from S. aureus and transformed in triplicate into competent RN4220 by electroporation followed by 1 h of recovery in B2 medium at 37 °C 220 r.p.m. Transformations were plated on LBG supplemented with chloramphenicol and 0.2% xylose (w/v) to induce toxin expression. Transformant colonies were enumerated, and transformation efficiencies of empty plasmid and toxin-containing plasmid were computed and compared. The entire experiment was repeated independently with a separate preparation of RN4220 competent cells; data from both replicates are included in Fig. 2a.
Mutational profiling of E.coli expressing the toxin domain of UmbC1
Three E. coli strains (MG1655 Δung pPSV39-CV-umbD1 pSCrhaB2-umbC1, MG1655 Δung pPSV39-CV-umbD1 pSCrhaB2 (no insert) and MG1655 Δung pPSV39-CV-dddAI and pSCrhaB2-dddA (32641830)) were grown overnight in LB supplemented with 15 μg ml–1 gentamycin, 50 μg ml–1 trimethoprim and 160 μM IPTG. The cultures were diluted 1:100 into fresh medium without IPTG, incubated until the OD60 reached 0.6, then supplemented with 0.2% rhamnose (w/v) for toxin induction. Genomic DNA was isolated from the cultures after 60 min of induction, and sequencing libraries were prepared as previously described55 and sequenced on an Illumina iSeq. Single-nucleotide variant profiling was performed using previously described analysis methods55,56.
Preparation of concentrated supernatant for use in Umb toxicity assays
Spores of S. coelicolor wild-type and derivative strains were inoculated in R5 medium and grown for 36 h. The cultures were then back diluted 1:200 in 50 ml R5 medium for a total combined culture volume of 150 ml and incubated for 24–30 h until the OD600 reached 4. Cells were then pelleted by centrifugation at 21,000g for 30 min. The resulting supernatant was filtered with a 0.45 μm PES membrane vacuum filter and then concentrated using 100 kDa cut-off Amicon concentrators until reaching a final volume of 3 ml. The concentrated supernatant was run over an Econo-Pac 10DG desalting column (Bio-Rad), aliquoted and stored at −80 °C until use.
Isolation of bacteria from soil used in Umb toxicity screening
Soil isolate strains used in the broad Umb sensitivity screen were collected from sorghum plants grown at the University of California’s Agriculture and Natural Resources Kearney Agriculture Research and Extension Center in Parlier, CA, as previously described57,58. Root samples were obtained from mature sorghum plants that had been subjected to a prolonged pre-flowering drought. Immediately after extraction of plants from the soil, roots were removed and placed in 25% glycerol (v/v) for 30 min, then placed on dry ice until they were transferred to −80 °C. To remove soil, roots were placed in phosphate buffer and briefly sonicated. They were subsequently vortexed for 60 s in 99% ethanol, 6 min in 3% NaOCl (w/v) and 30 s in 99% ethanol to sterilize the root surface. Roots were washed twice in sterilized dH2O, and 100 μl of rinse water was plated to check surface sterility. Roots were then cut into 1 cm pieces and placed into 2 ml tubes with 25% glycerol (v/v) and incubated for 30 min at room temperature before storing at −80 °C. One 2 ml tube of roots (approximately 200 mg) was thawed and placed in a sterile ceramic mortar with 1 ml PBS buffer. Root tissue was gently ground to release endophytic bacteria into the solution while minimizing lysis of bacterial cells. The solution was serially diluted, and 100 μl dilutions (10−1, 10−2 and 10−3) were plated onto various media types: ISP2, M9 minimal medium, skim milk, tap water yeast extract and humic acid. Plates were placed at 30 °C, and growth was monitored daily. When colonies were visible, they were picked and streaked onto a fresh plate of ISP2, followed by subsequent streaks if necessary to eliminate contamination, until only a single morphology was observed. The 16S ribosomal V3-V4 RNA sequences of the isolates were determined by Sanger sequencing.
Screening diverse organisms for sensitivity to S.coelicolor Umb toxins
Strains used in this assay included both isolates obtained from culture collections and a subset isolated in this study from the root endosphere of field-grown sorghum plants (see above); all strains used in the assay, their sources and their growth conditions are listed in Supplementary Table 5. Strains were grown at 30 °C. Optical densities of initial cultures were measured and used to prepare 1 ml samples at an OD600 of 0.01 in the appropriate medium for each strain. Next, 90 μl of each sample was transferred in duplicate to adjacent wells in a 96-well plate. To one of these wells, 10 μl of Umb supernatant from wild-type S. coelicolor was added. To the other well, 10 μl of Δumb supernatant from S. coelicolor Δumb was added. The plates were then incubated in a BioTek LogPhase 600 Microbiology Reader set to incubate the plates at 30 °C with shaking at 800 r.p.m. taking OD600 measurements every 20 min for a total of 48 h. Growth curves were monitored for the beginning of exponential phase. When an organism reached the beginning of its exponential growth phase, the corresponding duplicate cultures were removed from the incubator, combined with 100 μl BacTiter-Glo reagent (Promega BacTiter-Glo Microbial Cell Viability Assay) and incubated at room temperature for 7 min. The luminescent signal was measured in a BioTek Cytation 1 imaging reader. Growth inhibition was assessed by calculating the ratio of signal obtained from cultures incubated with Δumb supernatant by that obtained from Umb supernatant-treated samples. Two biological replicates of the screen were formed, and Z scores were calculated from the average of log2-transformed average ratios from across all strains screened.
Validation of initial hits from the diverse organism Umb sensitivity assay
Potential target strains S. griseus NRRL B-2682 and S. ambofaciens SAI 195 along with negative control strain Streptomyces mobaraensis NRRL B-3729 were grown on SFM plates for 3 days. Colonies from these plates were excised and used to inoculate 30 ml TSBY and incubated for 20 h (S. ambofaciens and S. griseus) or 36 h (S. mobaraensis) before being prepared for the Umb supernatant sensitivity assay as described above. Assay plates were initially incubated in a log phase for 7 h. Samples were then collected, combined with BacTiter-Glo reagent and luminescence was measured every 2–3 h until the plates reached 20 h of total growth. At 16 h, samples of each culture were serially diluted and plated on ISP2 agar to obtain an independent measure of growth yield.
Assessing the toxicity of Umb supernatant deriving from S.coelicolor mutants
The toxicity of supernatant deriving from individual Umb particle mutants was assessed towards the sensitive species S. griseus. For these experiments, the concentrated supernatants from wild-type S. coelicolor, mutants unable to synthesize individual Umb particles, S. coelicolor ΔumbC2 (pSET152::umbC2) and S. coelicolor ΔumbC2 (pSET152) were prepared as described above. Pre-cultured S. griseus (grown for 20 h, as described above) was diluted to OD600 of 0.01 in TSBY medium, and 90 μl of this was mixed with 10 μl concentrated supernatant in a 96-well plate. Assay plates were incubated in a log phase for 16 h. The samples were then collected, mixed with BacTiter-Glo reagent (Promega) and luminescence measured. Data represent the r.l.u. normalized by the maximum and minimum levels detected across treatments in an assay.
Streptomyces co-culture competition assays
For growth competition experiments between Streptomyces species, S. coelicolor spores were first inoculated into two 50 ml TSBY cultures and grown for about 36 h. Apramycin-resistant S. griseus was similarly inoculated in TSBY and grown for 20 h. When S. coelicolor cultures reached an OD600 of 3, 10 ml was aliquoted into four replicate baffled flasks. S. griseus cells were washed twice with TSBY and then added to the culture flasks at OD600 of 0.03, establishing an initial S. coelicolor and S. griseus ratio of 100:1. Cultures were serially diluted and plated on selective (for S. griseus) and non-selective medium (total population) for quantification of colony-forming units at an initial time point and after incubation at 28 °C for 12 h.
Microscopy
Imaging was performed on a Nikon Eclipse Ti-E wide-field microscope equipped with a sCMOS camera (Hamamatsu). A ×60, 1.4 NA oil-immersion PH3 objective was used for imaging. The microscope was controlled using NIS-Elements (v.3.30.02). The microscope chamber was heated to 28 °C, and S. griseus spores were loaded into all four chambers of a bacterial microfluidic plate (B04 from EMD Millipore). Using a CellASIC ONIX (Model EV262) microfluidic perfusion system, a pressure of 2 psi was applied to two columns over two roughly 6-h intervals. One chamber was treated with medium and Umb supernatant for interval one (0–370 min) followed by medium alone for interval two (370–660 min). A second chamber was treated with medium and ΔumbC2 supernatant followed by medium and Umb supernatant. A third chamber was treated with medium alone followed by medium and Umb supernatant. Finally, a fourth chamber was treated with PBS followed by medium alone.
Z stacks were acquired at each of the three positions in each imaging chamber every 10 min. Z stacks were merged using Gaussian focus stacking followed by automatic frame alignment in Fiji59. Cells that were imaged without occlusion or growth outside the field of view for the duration of 11 h were manually selected and exported in napari60 using the napari-crop and napari-nd-cropper plugins. Cells were automatically segmented frame-by-frame using Omnipose (bact_phase_omni model)61. Spurious labels arising from plate defects, debris or pillars were manually removed in napari following automatic edge-based filtering in Python. Finally, cells were tracked (and any oversegmentation resolved) by manually recolouring Z stack labels in napari using the fill tool in 3D mode. All processed space–time labels were then loaded into Python for extracting area over time per cell.
Bioinformatics analysis
To comprehensively retrieve UmbC protein homologues, the PSI-BLAST program62 was used for iterative searches against the NCBI non-redundant (nr) protein database until convergence, with a cut-off e-value of 0.005. The five upstream and five downstream gene neighbours of UmbC were extracted from the NCBI GenBank files for use in the gene neighbourhood analysis63. All protein neighbours were clustered based on their sequence similarities using the BLASTCLUST program, a BLAST score-based single-linkage clustering method (https://ftp.ncbi.nih.gov/blast/documents/blastclust.html). Protein clusters were then annotated based on their domain architectures using the HMMSCAN program64, searching against the Pfam database65 and our in-house custom HMM profile database. Signal peptide and transmembrane region prediction was determined using the Phobius program66. For systematic identification and classification of C-terminal toxin domains in UmbC proteins and the immunity families represented by UmbD proteins, we utilized the CLANS program67. This program uses a network analysis to organize sequences through the application of the Fruchterman and Reingold force-directed layout algorithm68 based on their sequence similarities derived from all-against-all BLASTP comparisons. A representative sequence of the novel domain family served as a seed in PSIBLAST searches to retrieve homologues. Following removal of highly similar sequences by BLASTCLUST, MSAs were built using KALIGN69, MUSCLE70 or PROMALS3D71. To identify the conserved residues for each domain family, the Chroma program72 was used to calculate the conservation pattern of the MSA based on different categories of amino acid physiochemical properties as previously reported73. Structural models for representative sequences of each domain family were predicted using AlphaFold2 (ref. 18) and models with the highest predicted lDDT scores were selected. Determination of domain boundaries for each family was guided by both the structure models and the PAE matrix provided by AlphaFold2. Functional predictions for toxin domains belonging to uncharacterized families were generated using DALI74 and Foldseek75 searches with representative structural models from each family to identify structurally related proteins with characterized functions. Function predictions were assigned when structurally similar proteins or protein domains (DALI Z score > 3, or Foldseek E value < 0.01) with known toxin activities were identified.
Statistics and reproducibility
Significance of differences in transformation efficiency under heterologous toxin expression, growth yields of S. griseus in supernatant toxicity experiments (with supernatant from S. coelicolor individual umb particle mutants) and competitive indices in competitive growth assays were assessed using analysis of variance and two-sided Dunnett’s multiple comparison tests. Significance of differences in protease activity between trypsin and UmbAT proteins and in growth yields from S. coelicolor Umb and Δumb supernatant toxicity assays were determined using two-tailed t-tests. Tests were performed using GraphPad Prism. All western blot assays and were replicated independently a minimum of two times. For bacterial growth assays, the number of replicates collected from independent cultures grown in parallel on a single day are indicated in the figure legends. Each experiment was also replicated at least once on separate days with three additional independent cultures. Statistical methods were not used to predetermine sample size, and blinding and randomization were not employed.
Reporting summary
Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.
Online content
Any methods, additional references, Nature Portfolio 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/s41586-024-07298-z.
Supplementary information
Source data
Acknowledgements
We thank S. Dove, J. Woodward, E. P. Greenberg and C. Harwood for discussions; R. Rodriguez for help with running and troubleshooting MS samples; L. Bai and X. Wang for providing the plasmids pSET152 and pKGLP2, respectively; E. Brodie for providing wheat rhizosphere isolates; and staff at the USDA-ARS Culture Collection (NRRL) for providing strains. This study was supported by Defense Advanced Research Projects Agency Biological Technologies Office Program: Harnessing Enzymatic Activity for Lifesaving Remedies (HEALR) under cooperative agreement no. HR0011-21-2-0012 (to J.D.M.), the National Institute of Allergy and Infectious Diseases (75N93022C00036 to D.V.), a Pew Biomedical Scholars Award (D.V.), an Investigators in the Pathogenesis of Infectious Disease Awards from the Burroughs Wellcome Fund (D.V), the University of Washington Arnold and Mabel Beckman cryo-EM center, National Institutes of Health grant S10OD032290 (to D.V.), a Saint Louis University Startup Fund (to D.Z.), the US Department of Agriculture (CRIS 2030-21430-008-00D to D.C.-D.), and USDA-NIFA (2019-67019-29306 to D.C.-D), and is a contribution of the Pacific Northwest National Laboratory (PNNL) Secure Biosystems Design Science Focus Area ‘Persistence Control of Engineered Functions in Complex Soil Microbiomes’ (operated by the US DOE under contract DE-AC05-76RL01830 to D.C.-D.). J.D.M. and D.V. are HHMI Investigators, D.V. and J.D.M hold the Hans Neurath Endowed Chair in Biochemistry and the Lynn M. and Michael D. Garvey Endowed Chair in Gastroenterology, respectively, at the University of Washington.
Extended data figures and tables
Author contributions
S.B.P. and J.D.M. conceived the project. Q.Z., S.B., Y.-J.P., K.J.C., D.Z., S.B.P., D.V. and J.D.M. conceived and designed experiments. Q.Z. and S.B. generated bacterial mutant strains and DNA constructs. Q.Z. and Y.W. performed IP–MS experiments. Q.Z. and S.B. performed PPI studies and purified the Umb1 protein complex. Y.-J.P. and D.V. determined the cryo-EM structure of Umb1. F.D. performed structure modelling studies. Q.Z., S.B., K.L.A. and L.A.G. performed experiments defining the physiological function of Umb toxins. C.F.-G. obtained soil isolates for toxicity testing. Q.Z. and K.J.C. performed microscopy experiments. Y.T. and D.Z. performed bioinformatics analyses to define the distribution of Umb proteins. Q.Z., S.B., Y.-J.P., Y.T., K.J.C., P.S., K.L.A., L.A.G., Y.L., F.D., D.Z., S.B.P., D.V. and J.D.M. analysed data. S.B.P. and J.D.M. wrote the manuscript. Q.Z., S.B., Y.-J.P., D.C.-D., F.D., D.Z. and D.V. edited and contributed methods, and all authors provided input. D.C.-D., D.Z., S.B.P., D.V. and J.D.M. supervised work and provided funds and resources.
Peer review
Peer review information
Nature thanks Dana Lacy and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. Peer reviewer reports are available.
Data availability
The cryo-EM maps and atomic structures have been deposited into the Protein Data Bank (PDB) and/or Electron Microscopy Data Bank (EMDB) under accession codes PDB 8W20, PDB 8W22, EMBD EMD-43736 and EMBD EMD-43737. Bacterial protein sequences used for assessing the diversity and distribution of Umb toxins were obtained from the NCBI non-redundant (nr) protein database (https://www.ncbi.nlm.nih.gov/protein/). 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.
Extended data
is available for this paper at 10.1038/s41586-024-07298-z.
Supplementary information
The online version contains supplementary material available at 10.1038/s41586-024-07298-z.
References
- 1.Alam K, et al. Streptomyces: the biofactory of secondary metabolites. Front. Microbiol. 2022;13:968053. doi: 10.3389/fmicb.2022.968053. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Kinkel LL, Schlatter DC, Xiao K, Baines AD. Sympatric inhibition and niche differentiation suggest alternative coevolutionary trajectories among Streptomycetes. ISME J. 2014;8:249–256. doi: 10.1038/ismej.2013.175. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Barka EA, et al. Taxonomy, physiology, and natural products of Actinobacteria. Microbiol. Mol. Biol. Rev. 2016;80:1–43. doi: 10.1128/MMBR.00019-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.McCormick JR, Flardh K. Signals and regulators that govern Streptomyces development. FEMS Microbiol. Rev. 2012;36:206–231. doi: 10.1111/j.1574-6976.2011.00317.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Anthony MA, Bender SF, van der Heijden MGA. Enumerating soil biodiversity. Proc. Natl Acad. Sci. USA. 2023;120:e2304663120. doi: 10.1073/pnas.2304663120. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Granato ET, Meiller-Legrand TA, Foster KR. The evolution and ecology of bacterial warfare. Curr. Biol. 2019;29:R521–R537. doi: 10.1016/j.cub.2019.04.024. [DOI] [PubMed] [Google Scholar]
- 7.Peterson SB, Bertolli SK, Mougous JD. The central role of interbacterial antagonism in bacterial life. Curr. Biol. 2020;30:R1203–R1214. doi: 10.1016/j.cub.2020.06.103. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Hopwood, D. A. Streptomyces in Nature and Medicine (Oxford Univ. Press, 2007).
- 9.Aoki SK, et al. A widespread family of polymorphic contact-dependent toxin delivery systems in bacteria. Nature. 2010;468:439–442. doi: 10.1038/nature09490. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Hood RD, et al. A type VI secretion system of Pseudomonas aeruginosa targets a toxin to bacteria. Cell Host Microbe. 2010;7:25–37. doi: 10.1016/j.chom.2009.12.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Jamet A, Nassif X. New players in the toxin field: polymorphic toxin systems in bacteria. MBio. 2015;6:e00285–00215. doi: 10.1128/mBio.00285-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Klein TA, Ahmad S, Whitney JC. Contact-dependent interbacterial antagonism mediated by protein secretion machines. Trends Microbiol. 2020;28:387–400. doi: 10.1016/j.tim.2020.01.003. [DOI] [PubMed] [Google Scholar]
- 13.Souza DP, et al. Bacterial killing via a type IV secretion system. Nat. Commun. 2015;6:6453. doi: 10.1038/ncomms7453. [DOI] [PubMed] [Google Scholar]
- 14.Whitney JC, et al. A broadly distributed toxin family mediates contact-dependent antagonism between gram-positive bacteria. eLife. 2017;6:e26938. doi: 10.7554/eLife.26938. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Zhang D, de Souza RF, Anantharaman V, Iyer LM, Aravind L. Polymorphic toxin systems: comprehensive characterization of trafficking modes, processing, mechanisms of action, immunity and ecology using comparative genomics. Biol. Direct. 2012;7:18. doi: 10.1186/1745-6150-7-18. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Ruhe ZC, Low DA, Hayes CS. Polymorphic toxins and their immunity proteins: diversity, evolution, and mechanisms of delivery. Annu. Rev. Microbiol. 2020;74:497–520. doi: 10.1146/annurev-micro-020518-115638. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Yeats C, Bentley S, Bateman A. New knowledge from old: in silico discovery of novel protein domains in Streptomyces coelicolor. BMC Microbiol. 2003;3:3. doi: 10.1186/1471-2180-3-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.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]
- 19.Rini JM. Lectin structure. Annu. Rev. Biophys. Biomol. Struct. 1995;24:551–577. doi: 10.1146/annurev.bb.24.060195.003003. [DOI] [PubMed] [Google Scholar]
- 20.Hedstrom L. Serine protease mechanism and specificity. Chem. Rev. 2002;102:4501–4524. doi: 10.1021/cr000033x. [DOI] [PubMed] [Google Scholar]
- 21.Kwak J, Jiang H, Kendrick KE. Transformation using in vivo and in vitro methylation in Streptomyces griseus. FEMS Microbiol. Lett. 2002;209:243–248. doi: 10.1111/j.1574-6968.2002.tb11138.x. [DOI] [PubMed] [Google Scholar]
- 22.Jeong Y, et al. The dynamic transcriptional and translational landscape of the model antibiotic producer Streptomyces coelicolor A3(2) Nat. Commun. 2016;7:11605. doi: 10.1038/ncomms11605. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Kim W, et al. Transcriptome and translatome profiles of Streptomyces species in different growth phases. Sci. Data. 2020;7:138. doi: 10.1038/s41597-020-0476-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Russel J, Roder HL, Madsen JS, Burmolle M, Sorensen SJ. Antagonism correlates with metabolic similarity in diverse bacteria. Proc. Natl Acad. Sci. USA. 2017;114:10684–10688. doi: 10.1073/pnas.1706016114. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Waksman SA. Antagonistic relations of microorganisms. Bacteriol. Rev. 1941;5:231–291. doi: 10.1128/br.5.3.231-291.1941. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Cascales E, et al. Colicin biology. Microbiol. Mol. Biol. Rev. 2007;71:158–229. doi: 10.1128/MMBR.00036-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Jakes KS, Cramer WA. Border crossings: colicins and transporters. Annu. Rev. Genet. 2012;46:209–231. doi: 10.1146/annurev-genet-110711-155427. [DOI] [PubMed] [Google Scholar]
- 28.Calcuttawala F, et al. Structural and functional insights into colicin: a new paradigm in drug discovery. Arch. Microbiol. 2021;204:37. doi: 10.1007/s00203-021-02689-6. [DOI] [PubMed] [Google Scholar]
- 29.Mavridou DAI, Gonzalez D, Kim W, West SA, Foster KR. Bacteria use collective behavior to generate diverse combat strategies. Curr. Biol. 2018;28:345–355.e4. doi: 10.1016/j.cub.2017.12.030. [DOI] [PubMed] [Google Scholar]
- 30.Gygli SM, Borrell S, Trauner A, Gagneux S. Antimicrobial resistance in Mycobacterium tuberculosis: mechanistic and evolutionary perspectives. FEMS Microbiol. Rev. 2017;41:354–373. doi: 10.1093/femsre/fux011. [DOI] [PubMed] [Google Scholar]
- 31.Hennart M, et al. Population genomics and antimicrobial resistance in Corynebacterium diphtheriae. Genome Med. 2020;12:107. doi: 10.1186/s13073-020-00805-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Myronovskyi M, Welle E, Fedorenko V, Luzhetskyy A. β-glucuronidase as a sensitive and versatile reporter in actinomycetes. Appl. Environ. Microbiol. 2011;77:5370–5383. doi: 10.1128/AEM.00434-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Bierman M, et al. Plasmid cloning vectors for the conjugal transfer of DNA from Escherichia coli to Streptomyces spp. Gene. 1992;116:43–49. doi: 10.1016/0378-1119(92)90627-2. [DOI] [PubMed] [Google Scholar]
- 34.Remmert M, Biegert A, Hauser A, Soding J. HHblits: lightning-fast iterative protein sequence searching by HMM-HMM alignment. Nat. Methods. 2011;9:173–175. doi: 10.1038/nmeth.1818. [DOI] [PubMed] [Google Scholar]
- 35.Mirdita M, et al. Uniclust databases of clustered and deeply annotated protein sequences and alignments. Nucleic Acids Res. 2017;45:D170–D176. doi: 10.1093/nar/gkw1081. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Steinegger M, Mirdita M, Soding J. Protein-level assembly increases protein sequence recovery from metagenomic samples manyfold. Nat. Methods. 2019;16:603–606. doi: 10.1038/s41592-019-0437-4. [DOI] [PubMed] [Google Scholar]
- 37.Mirdita M, et al. ColabFold: making protein folding accessible to all. Nat. Methods. 2022;19:679–682. doi: 10.1038/s41592-022-01488-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Baek, M. et al. Efficient and accurate prediction of protein structure using RoseTTAFold2. Preprint at bioRxiv10.1101/2023.05.24.542179 (2023).
- 39.Anishchenko I, et al. Protein tertiary structure prediction and refinement using deep learning and Rosetta in CASP14. Proteins. 2021;89:1722–1733. doi: 10.1002/prot.26194. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Kieser, T., Bibb, M. J., Buttner, M. J., Chater, K. F. & Hopwood, D. A. Practical Streptomyces Genetics (Crowes, 2000).
- 41.Ting, S. Y. et al. Discovery of coordinately regulated pathways that provide innate protection against interbacterial antagonism. eLife10.7554/eLife.74658 (2022). [DOI] [PMC free article] [PubMed]
- 42.Tyanova S, Temu T, Cox J. The MaxQuant computational platform for mass spectrometry-based shotgun proteomics. Nat. Protoc. 2016;11:2301–2319. doi: 10.1038/nprot.2016.136. [DOI] [PubMed] [Google Scholar]
- 43.Suloway C, et al. Automated molecular microscopy: the new Leginon system. J. Struct. Biol. 2005;151:41–60. doi: 10.1016/j.jsb.2005.03.010. [DOI] [PubMed] [Google Scholar]
- 44.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]
- 45.Voss NR, Yoshioka CK, Radermacher M, Potter CS, Carragher B. DoG Picker and TiltPicker: software tools to facilitate particle selection in single particle electron microscopy. J. Struct. Biol. 2009;166:205–213. doi: 10.1016/j.jsb.2009.01.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Zivanov, J. et al. New tools for automated high-resolution cryo-EM structure determination in RELION-3. eLife10.7554/eLife.42166 (2018). [DOI] [PMC free article] [PubMed]
- 47.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]
- 48.Tegunov D, Cramer P. Real-time cryo-electron microscopy data preprocessing with Warp. Nat. Methods. 2019;16:1146–1152. doi: 10.1038/s41592-019-0580-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Zivanov J, Nakane T, Scheres SHW. A Bayesian approach to beam-induced motion correction in cryo-EM single-particle analysis. IUCrJ. 2019;6:5–17. doi: 10.1107/S205225251801463X. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.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]
- 51.Chen S, et al. High-resolution noise substitution to measure overfitting and validate resolution in 3D structure determination by single particle electron cryomicroscopy. Ultramicroscopy. 2013;135:24–35. doi: 10.1016/j.ultramic.2013.06.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Rosenthal PB, Henderson R. Optimal determination of particle orientation, absolute hand, and contrast loss in single-particle electron cryomicroscopy. J. Mol. Biol. 2003;333:721–745. doi: 10.1016/j.jmb.2003.07.013. [DOI] [PubMed] [Google Scholar]
- 53.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]
- 54.Wang, R. Y. et al. Automated structure refinement of macromolecular assemblies from cryo-EM maps using Rosetta. eLife10.7554/eLife.17219 (2016). [DOI] [PMC free article] [PubMed]
- 55.de Moraes, M. H. et al. An interbacterial DNA deaminase toxin directly mutagenizes surviving target populations. eLife10.7554/eLife.62967 (2021). [DOI] [PMC free article] [PubMed]
- 56.Gallagher LA, et al. Genome-wide protein–DNA interaction site mapping in bacteria using a double-stranded DNA-specific cytosine deaminase. Nat. Microbiol. 2022;7:844–855. doi: 10.1038/s41564-022-01133-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Gao C, et al. Fungal community assembly in drought-stressed sorghum shows stochasticity, selection, and universal ecological dynamics. Nat. Commun. 2020;11:34. doi: 10.1038/s41467-019-13913-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Xu L, et al. Drought delays development of the sorghum root microbiome and enriches for monoderm bacteria. Proc. Natl Acad. Sci. USA. 2018;115:E4284–E4293. doi: 10.1073/pnas.1717308115. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.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]
- 60.Jannis, A. et al. napari: a multi-dimensional image viewer for Python. Zenodo10.5281/zenodo.3555620 (2023).
- 61.Cutler KJ, et al. Omnipose: a high-precision morphology-independent solution for bacterial cell segmentation. Nat. Methods. 2022;19:1438–1448. doi: 10.1038/s41592-022-01639-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Altschul SF, et al. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res. 1997;25:3389–3402. doi: 10.1093/nar/25.17.3389. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Aravind L, Iyer LM, Burroughs AM. Discovering biological conflict systems through genome analysis: evolutionary principles and biochemical novelty. Annu. Rev. Biomed. Data Sci. 2022;5:367–391. doi: 10.1146/annurev-biodatasci-122220-101119. [DOI] [PubMed] [Google Scholar]
- 64.Eddy SR. Accelerated profile HMM searches. PLoS Comput. Biol. 2011;7:e1002195. doi: 10.1371/journal.pcbi.1002195. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Mistry J, et al. Pfam: the protein families database in 2021. Nucleic Acids Res. 2021;49:D412–D419. doi: 10.1093/nar/gkaa913. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Kall L, Krogh A, Sonnhammer EL. A combined transmembrane topology and signal peptide prediction method. J. Mol. Biol. 2004;338:1027–1036. doi: 10.1016/j.jmb.2004.03.016. [DOI] [PubMed] [Google Scholar]
- 67.Frickey T, Lupas A. CLANS: a Java application for visualizing protein families based on pairwise similarity. Bioinformatics. 2004;20:3702–3704. doi: 10.1093/bioinformatics/bth444. [DOI] [PubMed] [Google Scholar]
- 68.Fruchterman TMJ, Reingold EM. Graph drawing by force-directed placement. Softw. Pract. Exp. 1991;21:1129–1164. doi: 10.1002/spe.4380211102. [DOI] [Google Scholar]
- 69.Lassmann T. Kalign 3: multiple sequence alignment of large data sets. Bioinformatics. 2019;36:1928–1929. doi: 10.1093/bioinformatics/btz795. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Edgar RC. MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res. 2004;32:1792–1797. doi: 10.1093/nar/gkh340. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Pei J, Grishin NV. PROMALS3D: multiple protein sequence alignment enhanced with evolutionary and three-dimensional structural information. Methods Mol. Biol. 2014;1079:263–271. doi: 10.1007/978-1-62703-646-7_17. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 72.Goodstadt L, Ponting CP. CHROMA: consensus-based colouring of multiple alignments for publication. Bioinformatics. 2001;17:845–846. doi: 10.1093/bioinformatics/17.9.845. [DOI] [PubMed] [Google Scholar]
- 73.Taylor WR. The classification of amino acid conservation. J. Theor. Biol. 1986;119:205–218. doi: 10.1016/S0022-5193(86)80075-3. [DOI] [PubMed] [Google Scholar]
- 74.Holm L, Rosenstrom P. Dali server: conservation mapping in 3D. Nucleic Acids Res. 2010;38:W545–W549. doi: 10.1093/nar/gkq366. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.van Kempen, M. et al. Fast and accurate protein structure search with Foldseek. Nat. Biotechnol.10.1038/s41587-023-01773-0 (2023). [DOI] [PMC free article] [PubMed]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The cryo-EM maps and atomic structures have been deposited into the Protein Data Bank (PDB) and/or Electron Microscopy Data Bank (EMDB) under accession codes PDB 8W20, PDB 8W22, EMBD EMD-43736 and EMBD EMD-43737. Bacterial protein sequences used for assessing the diversity and distribution of Umb toxins were obtained from the NCBI non-redundant (nr) protein database (https://www.ncbi.nlm.nih.gov/protein/). Source data are provided with this paper.