Abstract
The needle length of the Yersinia spp. injectisome is determined by Yop secretion protein P (YscP), an early substrate of the injectisome itself. There is a linear correlation between the length of YscP and the length of the needle, suggesting that YscP acts as a molecular ruler. However, it is not known whether one single molecule of YscP suffices to control the length of one needle or whether several molecules of YscP are exported in alternation with the needle subunit YscF until the needle length matches the ruler length, which would stop needle growth. To address this question, three different strains expressing simultaneously a short and a long version of YscP were engineered. The experimentally obtained needle length distribution was compared with the distributions predicted by stochastic modeling of the various possible scenarios. The experimental data are compatible with the single ruler model and not with the scenarios involving more than one ruler per needle.
Keywords: molecular ruler, nanomachine, type III secretion, Yersinia, stochastic modeling
The injectisome or needle complex allows pathogenic bacteria to inject effector proteins across eukaryotic cell membranes, a process called type III secretion (T3S). This nanomachine, evolutionary related to the flagellum, has a basal body made of several rings embedded in the two bacterial membranes (1–4) and including integral membrane proteins constituting the core of the T3S export apparatus (reviewed by refs. 5–8). The Yersinia enterocolitica E40 Ysc injectisome terminates with a 65-nm-long hollow needle, made of ~140 copies of the 9-kDa YscF protein. At the tip of the needle, a pentamer of LcrV (9, 10) forms a structure serving as an assembly platform for the translocation pore (11).
During morphogenesis, the needle components, like those of the hook and filament of the flagellum, are sequentially exported by the T3S apparatus itself (12), traveling through the growing structure and polymerizing at its distal end (13, 14). There is no clear hierarchy in the synthesis of the injectisome components and substrates. Thus, the export apparatus is expected to switch its substrate specificity over time so that needle subunits (early substrates) are exported before LcrV (intermediate substrates) and the translocators and effectors (late substrates). The switch between early and intermediate substrates determines the arrest of needle growth and hence the needle length (15).
The control of the needle length and the switch to export intermediate substrates involves a protein, which is itself exported, Yop secretion protein P (YscP) for the Yersinia spp injectisome (16–18) and FliK for the flagellum (19–21). In the absence of this protein, injectisomes have extra-long needles (deregulated phenotype) and do not secrete LcrV, translocators, and effectors, whereas the flagellum has extralong hooks and no filament (polyhook phenotype). The switch function is assigned to the C-terminal domains of YscP and FliK (21, 22). This domain, called type III secretion substrate specificity switch (T3S4) (22), is thought to interact with YscU (FlhB in the flagellum), a component of the basal body that is also involved in setting the hierarchy of export (19, 23, 24). To control length, YscP needs to be exported by the nascent T3S export machine, a phenomenon driven by two independent N-terminal export signals (S1, residues 1–35; and S2, residues 97–137) separated by a short spacer (25).
The central region of YscP is proline-rich and contains repeats whose number varies from strain to strain in the genus Yersinia (16, 26). Deletions between residues 36–96 and 222–306 of YscP and insertions between residues 49 and 50 lead to shorter and longer needles, respectively, with a linear correlation between the size of YscP and the needle length, which led us to propose a model where YscP acts as a molecular ruler measuring the needle (16). A similar correlation, observed between the size of FliK and the length of the hook (27), was recently reinterpreted in the same way (28).
The ruler model implies that the actual length of the ruler domain of YscP matches the length of the needle plus the basal body. Because the proline content of YscP has an impact on needle length, it is likely that the functional ruler has a helical structure (26). The length of the ruler domain calculated by molecular modeling was indeed found to correlate with the measured needle length, with a constant difference of ~29 nm, which corresponds approximately to the size of the basal body (26). This element thus reinforces the ruler model. However, open questions about the details of the mechanism remain. The first model to be proposed (16) was static, in the sense that each needle is regulated by a single ruler molecule that gradually stretches and switches substrate specificity when the needle has reached its final length and the T3S4 domain is in the right position to interact with the secretion apparatus and thereby terminates needle elongation. In this model, the YscF proteins are able to pass through the growing needle that is partially filled by YscP. A dynamic model was then proposed, in which the elongation of each needle is controlled by several rulers or “tape-measure” molecules that keep passing through the still growing needle. When the actual needle length exactly matches (or is greater than) the length of the passing ruler molecule, YscP stops needle elongation (5, 29). In this model, needle subunits and ruler or tape-measure proteins travel alternatively. In this work, we provide some genetic evidence that only one molecule of YscP is required to control the length of one injectisome needle, thus supporting the static model of needle length regulation.
Results
Rationale of the Approach and Selection of the Appropriate Alleles.
Our approach consists in measuring the needles made by partial diploid bacteria that express simultaneously two yscP alleles—a short one and a long one—and compare the distribution of needle length to the predictions made by a stochastic molecular model describing different needle length regulation scenarios. As a short YscP protein, we chose YscP388, a derivative of YscP in which the spacer between the two export signals and one copy of the repeats in the central part have been removed (Fig. 1A) (16). To generate a long YscP, we engineered a restriction cleavage site between codons 250 and 251 in the central part of the yscP gene. We then generated yscP686 by inserting a copy of codons 214–374, encoding the repeated region, into the restriction site (Fig. 1A). The two recombinant genes, cloned on the same expression vector were then introduced in Y. enterocolitica LJ4036, a strain in which the WT copy of yscP has been deleted from the virulence plasmid, and the phenotypes were analyzed (Fig. 1B). To test whether the two sorts of needles could be discriminated, equal numbers of Y. enterocolitica LJ4036 bacteria producing either YscP388 or YscP686 were mixed and 200 needles were measured. As shown in Fig. 1C, the histogram of needle length distribution (nld) revealed two distinct peaks, at the expected sizes of 48 ± 6 nm and 100 ± 12 nm. Surprisingly, even though equal amounts of bacteria were mixed, ~60% of the needles measured were of the small type (Table S1). The reason for this unequal representation was not investigated. We can nevertheless exclude that long needles break down because no small needles appear in cultures producing exclusively long needles (Fig. 1C).
Fig. 1.
Selection and analysis of the alleles used in this study. (A) Schematic representation of two yscP genes (yscP388 and yscP686) cloned downstream from the pBAD promoter in pCA20 and pSTW14, respectively. (B) Export of YscP by Y. enterocolitica E40 WT and LJ4036 (called ΔyscP) overexpressing YscP WT (from pLJ6), YscP388 (from pCA20), or YscP686 (from pSTW14) and a 1:1 mixture of bacteria overexpressing YscP388 or YscP686. Supernatant fractions (SN) were analyzed by immunoblotting using anti-YscP polyclonal antibodies. (C) Histogram representation of the needle length distribution normalized to unity. A Gaussian function of experimental mean and SD (black line) and the best fitting Gaussian (red line) are reported for haploids; a bimodal Gaussian function obtained by EMA (blue line) is reported for mixed samples; n is the number of measured needles.
Predicted Needle Length Distribution for Merodiploid Bacteria According to the Static and Dynamic Models.
In a first step, the nld of haploid bacteria was analyzed and found consistent with a Gaussian distribution (Fig. S1 and Table S2). On the basis of this result, a stochastic model was developed to describe the features of both the static and the dynamic needle length control mechanisms (see SI Text for details).
The one-ruler-per-needle model (scenario 1, Fig. 2A, Scheme S1) predicts that merodiploid bacteria will produce a mixture of long and short needles similar to a mixed culture of two different haploid strains. A statistical analysis of such distribution shows that it is fully consistent with a bimodal Gaussian distribution (Fig. 2A, Table S3). Moreover, within this scenario all needles are predicted to belong either to the short or to the long needle population, and no deregulated needles (i.e., needles growing to various lengths up to 1 μm) (16) are predicted by the model.
Fig. 2.
Needle length distribution predicted for the static and dynamic models. (A) Histogram representation of the normalized nld computed for scenario 1. Needle populations obtained for scenarios 2 (B) and 3 (D) are shown with the nld calculated at different values of [YscF]/[YscP] and reported as a not-normalized heat map representing the number of needles (Fig. S2). Needle distributions for the short (red line), long (blue line), and deregulated (black line) species computed for scenarios 2 and 3 are reported in the Right Insets. Histogram representations for the representative nld ([YscF]/[YscP] = 40) for scenarios 2 (C) and 3 (E) are reported along with their bimodal Gaussian distribution fitting as obtained by EMA analysis. In particular, scenario 3 distributions for values of [YscF]/[YscP] > 25 show similar features and could be equally representative of a bimodal Gaussian distribution (see SI Materials and Methods for details and Fig. S2). Green dashed lines identify the mean value of each population.
In the case of the dynamic ruler model, two scenarios can be envisioned, depending on whether the needle growth is interrupted whenever the length of the YscP traveling molecule is shorter than the needle (scenario 2) or only when the length of YscP exactly matches (within a tolerance) the needle length (scenario 3). For scenarios 2 and 3 the nld was computed (Scheme S2) using as order parameter the ratio between [YscF] and [YscP], which represent the effective concentration of needle subunits and ruler proteins, respectively. Their ratio represents the relative probability of accessing the basal body (Fig. 2 and Fig. S2). The stochastic model gives the number of YscP proteins exported through each needle during the growing phase: thus, the average “ruler per needle” (rpn) value along with the SD can be estimated as a function of [YscF]/[YscP] (Table S3 and Fig. S3). The average rpn value is a nonlinear function of [YscF]/[YscP]; both scenarios feature an average of ~75 rulers exported per needle when the concentration of available YscF and YscP proteins is equal at the basal body and ~4 rpn when [YscF]/[YscP] = 50 (Table S3 and Fig. S3). Values of [YscF]/[YscP] < 1 were considered unrealistic and not included. Full results are given in Fig. 2 and Fig. S2, where the number of needles is shown as a heat map (Fig. 2 B and E). Needle length distribution for scenarios 2 and 3 for values of [YscF]/[YscP] that are significantly consistent with experimental results are reported in Fig. 2 C and E, respectively. The percentage of rulers belonging to either the long- or the short-needle population is also reported along with the percentage of deregulated needles predicted by each model (Fig. 2 B and D).
For scenario 2, when the effective concentration of rulers is similar to that of needle subunits ([YscF]/[YscP] ~ 1), the system is overregulated by the short rulers, which meet the stopping criterion (i.e., needle length greater than the ruler length) before the longer ones. This is evident in Fig. 2B and Fig. S2 A–C, where a unique peak (corresponding to the short needles) is present for low [YscF]/[YscP] values. As [YscP] decreases ([YscF]/[YscP] up to 50), the initial peak broadens. Nonetheless, two distinct peaks (namely a bimodal Gaussian distribution) were never observed, as confirmed by statistical analysis of the length distributions performed using the expectation-maximization algorithm (EMA) (30) (Fig. 2 B and C, Figs. S2 and S3, and Table S3). Because this scenario imposes a stop whenever the needle length is greater than the passing-by ruler, even needles allowed to grow by a low measurement frequency (low [YscP]) will be stopped as soon as a ruler is allowed to enter the needle (Fig. 2 B and C and Fig. S3). Hence the scenario excludes the appearance of deregulated needles (Fig. 2B and Fig. S3).
For scenario 3, overregulation by the short ruler is observed only when [YscF]/[YscP] ~ 1 (Fig. 2D and Fig. S2 D–F). As computed for scenario 2 the rulers-per-needle value decreases with decreasing [YscP], dropping from high values (~12 rulers per needle) when [YscF]/[YscP] ~ 10 and reaching a value of ~4 for low [YscP] when [YscF]/[YscP] ~ 50 (Table S3, Fig. S3). As the measurement frequency decreases with lower values of [YscP], two distinct peaks do appear in correspondence with short and long needle distributions, respectively. For values of [YscF]/[YscP] > 25 (i.e., <6 YscP per needle) the computed nlds start to be compatible with a bimodal Gaussian distribution as demonstrated by the EMA analysis (Fig. 2 D and E, Figs. S2 and S3, and Table S3). Below this threshold the computed distributions are unlikely to be either Gaussian or bimodal (see SI Text for details, Fig. S3). Moreover, for [YscF]/[YscP] > 25 the ratio between short and long populations is balanced, whereas for lower values the short needle population P1 is largely dominant (Fig. 2D and Fig. S2). The stopping rule is in fact more restrictive than in scenario 2, allowing for growth interruption only when the needle length is equal (with a tolerance) to the passing-by ruler length. As [YscP] decreases, the number of deregulated needles rapidly increases (Fig. 2D and Fig. S3). Thus, scenario 3, in contrast to scenario 2, features an increasing number of deregulated needles: When ~ ≤12 YscP proteins are allowed, the number of deregulated needles steadily increases (Fig. 2E and Fig. S3). As an example, scenario 3 produces 30% deregulated needles when the ratio of [YscF]/[YscP] is ~40, and the average number of rulers passing through the needle is ~5 (Fig. 2 D and E and Fig. S3). Importantly, as soon as the nlds showed a bimodal behavior and a balanced population of long and short needles (i.e., for [YscF]/[YscP] > 25), the deregulated needle fraction became significant (i.e., >20%, Table S3).
Merodiploid Strains for Short and Long yscP Alleles Produce Two Distinct Populations of Regulated Needles and No Deregulated Needles.
Three different types of genetic constructs were engineered. First, the yscP388 allele was inserted on the 70-kb virulence plasmid by allelic replacement of the WT gene and the yscP686 allele was introduced in trans on an expression vector, downstream from the strong pBAD promoter (Fig. 3A). In Y. enterocolitica E40, under the conditions used, this vector leads to a detectable expression in every bacterial cell (Fig. S4A). Both YscP proteins were produced and secreted by the merodiploid bacteria (Fig. 4A). The needle length histogram revealed two peaks at 54 ± 6 nm and 98 ± 15 nm, similar to those obtained with haploid bacteria expressing either yscP388 from the pYV plasmid or yscP686 from the pBAD vector (50 ± 5 nm and 103 ± 12 nm) (Fig. 4A).
Fig. 3.
The various genetic constructs expressing yscP388 and yscP686. pLJ4022 is the 70-kb virulence plasmid where yscP388 replaces the WT allele, downstream from its natural promoter (PvirB). (A) pSTW14 encodes YscP686 from the pBAD promoter. The derivative of pCDFDuet is shown in B. (C) In pSTW65, the two alleles are cloned as one operon downstream of the pBAD promoter.
Fig. 4.
Experimental needle length distribution in bacteria expressing yscP388, yscP686, or both. (Left) Supernatant (SN) fractions were analyzed by immunoblotting using anti-YscP antibodies. (Right) nld of the needles from merodiploid and the corresponding haploid bacteria are shown. A–C show the data for the genetic constructs shown in Fig. 3 A–C, respectively. The histogram representation is normalized to unity. A Gaussian function of experimental mean and SD (black line) and the best-fitting Gaussian (red line) are reported for haploids; a double Gaussian function obtained by EMA is reported for merodiploid samples. n, number of measured needles; p, promoter; P, peak.
In the second type of construct, the two alleles were placed on the same pDuet expression vector, each of them downstream from an individual T7 promoter (Fig. 3B). As a control, the two alleles were cloned in the same sites but individually, on the pDuet. As shown in Fig. S4B, egfp and mCherry cloned together on this vector were simultaneously expressed in every bacterium. The recombinant plasmid was introduced into the ΔyscP strain LJ4036 together with a plasmid encoding an inducible T7 polymerase. Synthesis of YscP was induced at the same time as type III secretion. The histogram of needle lengths revealed a clear peak of short needles (50 ± 8 nm) similar to the needles produced by haploids (48 ± 6 nm) beside a peak of longer needles (106 ± 12 nm), also similar to the needles produced by the corresponding haploids (110 ± 10 nm) (Fig. 4B).
Finally, both alleles were fused in a single operon, downstream from the pBAD promoter (Fig. 3C). Bacteria endowed with this construct showed again two populations of needles (50 ± 6 nm and 91 ± 13 nm) similar to those produced by bacteria endowed with similar constructs carrying only one allele (48 ± 5 nm and 103 ± 12 nm) (Fig. 4C and Table S4).
Deregulated needles were never observed in six different experiments with the three different constructs (Fig. 4). The results were then pooled (1114 measurements) and found consistent with a bimodal Gaussian distribution (based on EMA analysis in Table S1). As shown in Fig. 5, two distinct peaks account for short and long needle populations and are consistent with the predicted bimodal distributions found for scenarios 1 and 3 (Fig. 2 A and E), whereas scenario 2 prediction features single-peak distributions. The needle distribution computed according to scenario 3 significantly changes with the number of rulers per needle (i.e., [YscF]/[YscP]) passing from nld dominated by the short needle population (P1) to nld where short and long needle populations are balanced (Fig. 2 D and E and Fig. S2). Nonetheless, a large number of deregulated needles (>20%, Fig. 2 D and E and Fig. S3) were always associated with the computed nlds, which are consistent with a bimodal Gaussian distribution and are similar to the experimental nld (i.e., for values of [YscF]/[YscP] > 25). Moreover, when the system is predicted to start producing deregulated needles ([YscF]/[YscP] ~ 10), the short-needle population is much more abundant than the long-needle population (P1, ~80%; P2, ~20%; Figs. S2 and S3, Table S3). This behavior does not agree with the experimental results, which indicate that the two populations are not so unbalanced (P1, 62.5%; P2, 37.5% of total merodiploid samples; Table S1).
Fig. 5.
Comparison between experimental and predicted needle length distributions according to the different scenarios. Shown is a histogram representation of the nld obtained with the three different merodiploid constructs (histogram binning size = 5 nm). The normalized experimental nld is fitted by a bimodal Gaussian distribution as obtained by the EMA analysis (dark blue line) and superimposed to the bimodal Gaussian distributions obtained for the different three computed scenarios. Bimodal Gaussian distribution fits are here weighted to match the experimental ratio found between long and short needle populations in a mixture of cultures producing short and long needles (Tables S1 and S3). For scenarios 2 and 3 distributions that best fit the experimental data on the basis of the EMA likelihood analysis are used (i.e., on the basis of Q1 and Q2 estimates defined in Fig. S2). The relative percentage of deregulated needles of each model is also reported in parentheses.
Thus, scenario 3 appears to be also inconsistent with the experimental results because it predicts a significant percentage of deregulated needles (Fig. 2 D and E), whereas none was experimentally observed. A more quantitative comparison between the computed and experimental nlds based on EMA analysis (see SI Text for similarity estimates defined by Q1 and Q2, Fig. S3) strongly indicates the bimodal Gaussian distribution of scenario 1 as the best representation of the experimental needle distribution. Thus, the static one-ruler-per-needle model, which predicts no deregulated needles, can uniquely interpret the experimental data. It must be stressed here that deregulated needles are very easy to detect on an EM grid and that a percentage as low as 10% of such needles cannot be missed.
Molecular Clock Mechanism.
An additional length control mechanism was proposed for the flagellar hook, namely the molecular clock model (29). In this model, the cleavage of the inner-membrane protein FlhB is proposed to act as a molecular clock (29). When the cleavage has occurred, time for needle elongation is over. If this timing device would as well occur in the Yersinia injectisome, it could mask the presence of deregulated needles in our experiments. To rule this out, we introduced the long and short yscP alleles in a Y. enterocolitica strain, which produces a noncleavable version of YscU (yscUN263A), the homolog of FlhB (23). The histograms showed two populations of needles, although with a broader distribution, but no deregulated ones (Fig. S5). Hence, this experiment ruled out that the presence of deregulated needles in scenario 3 could have been masked by a molecular clock mechanism.
Discussion
In this work, we measured the length of the needles assembled by Y. enterocolitica bacteria producing simultaneously a short and a long version of the ruler protein. We ensured that both proteins were synthesized in every bacterium and readily exported. The experiment was done with three different kinds of genetic constructs to exclude any bias due to a preferred transcription or translation of one allele vs. the other. The three different Y. enterocolitica merodiploid bacteria produced a mixture of short and long needles. The length of the short and long needles corresponded exactly to the length of the needles produced when only one type of ruler was produced. The interpretation of these data is that only one ruler molecule determines the length of one needle. Indeed, if more than one ruler was involved, depending on the exact mechanism, stochastic models predict the appearance of intermediate-sized or deregulated needles and these were not found in spite of the fact that they would be easily detectable. It can be ruled out that these deregulated needles were masked by the molecular clock mechanism, because in a Y. enterocolitica strain carrying a noncleavable YscU version (yscUN263A) no deregulated needles were observed either. These two types of observations reinforce the molecular ruler model, on the basis of the correlation between the needle length and the length of the control protein (16, 26). In this model YscP would be secreted and partially fold during needle assembly. When the C-terminal domain of YscP gets in contact with the export apparatus, the T3S4 domain would be in the right position to switch substrate specificity and thereby stop needle elongation.
The present conclusion that only one ruler determines the length of one needle may seem to be at odds with our previous observations that overexpression of YscP improves the needle length control (23, 25). However, these observations were made, with systems in which export of YscP was reduced, either because one export signal was missing (25) or because YscU was mutated (23). In these systems, overexpression of YscP restored export of YscP only to WT levels.
The present results significantly contribute to a better understanding of the complex needle length control mechanism. However, there are still open questions. For instance, two aspects of the model remain to be investigated. First, the N terminus of YscP, which is most likely exported first (25), needs to interact with the growing end of the needle. In good agreement with this prediction, the N terminus of the flagellum hook-length control protein FliK interacts with the hook cap protein, the protein located at the tip of the hook during elongation (29). However, this observation cannot be simply extrapolated to the injectisome needle because no capping protein has been identified so far at the end of the growing needle. The mature needle terminates with a tip structure made of LcrV (10) but the needle length is controlled in the absence of LcrV (26), meaning that the length control protein must interact with a tipless needle. The question of the ruler anchor is thus unanswered but one cannot exclude that YscP attaches to the needle end because it is detectable at the bacterial surface by immunogold labeling (31). The second open question concerns simultaneous translocation of YscP and needle subunits across the plasma membrane. The answer to this question requires a better understanding of the structure of the actual translocation channel(s) made of YscRSTUV.
Materials and Methods
Bacterial strains, plasmids, oligonucleotides, and details of the stochastic modeling are described in SI Materials and Methods. Plasmids are described in Table S4. Induction of the yop regulon, Yop protein analysis, and needle length measurement were as described in ref. 26. Detached needles were measured.
Supplementary Material
Acknowledgments
We thank G. Morson for assistance in EM. This work was supported by the Swiss National Science Foundation through Grant 310000-113333/1 (to G.R.C.) and through the collaborative Sinergia Grant CRSII3_125110/1.
Footnotes
The authors declare no conflict of interest.
This article is a PNAS Direct Submission.
This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1006985107/-/DCSupplemental.
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