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. 2016 Dec 23;5:e18647. doi: 10.7554/eLife.18647

Functional dichotomy and distinct nanoscale assemblies of a cell cycle-controlled bipolar zinc-finger regulator

Johann Mignolet 1,*,, Seamus Holden 2,3,, Matthieu Bergé 1,, Gaël Panis 1, Ezgi Eroglu 1, Laurence Théraulaz 1, Suliana Manley 2, Patrick H Viollier 1,*
Editor: Tâm Mignot4
PMCID: PMC5182063  PMID: 28008851

Abstract

Protein polarization underlies differentiation in metazoans and in bacteria. How symmetric polarization can instate functional asymmetry remains elusive. Here, we show by super-resolution photo-activated localization microscopy and edgetic mutations that the bitopic zinc-finger protein ZitP implements specialized developmental functions – pilus biogenesis and multifactorial swarming motility – while shaping distinct nanoscale (bi)polar architectures in the asymmetric model bacterium Caulobacter crescentus. Polar assemblage and accumulation of ZitP and its effector protein CpaM are orchestrated in time and space by conserved components of the cell cycle circuitry that coordinate polar morphogenesis with cell cycle progression, and also act on the master cell cycle regulator CtrA. Thus, this novel class of potentially widespread multifunctional polarity regulators is deeply embedded in the cell cycle circuitry.

DOI: http://dx.doi.org/10.7554/eLife.18647.001

Research Organism: Other

eLife digest

Living cells become asymmetric for many different reasons and how they do so has been a long-standing question in biology. In some cells, the asymmetry arises because a given protein accumulates at one side of the cell. In particular, this process happens before some cells divide to produce two non-identical daughter cells that then go on to develop in very different ways – which is vital for the development of almost all multicellular organisms. The single-celled bacterium Caulobacter crescentus also undergoes this type of asymmetric division. The polarized Caulobacter cell produces two very different offsprings – a stationary cell and a nomadic cell that swims using a propeller-like structure, called a flagellum, and has projections called pili on its surface.

Before it divides asymmetrically, the Caulobacter cell must accumulate specific proteins at its extremities, or poles. Two such proteins are ZitP and CpaM, which appear to have multiple roles and are thought to interact with other factors that regulate cell division. However, little is known about how ZitP and CpaM become organized at the poles at the right time and how they interact with these regulators of cell division.

Mignolet et al. explored how ZitP becomes polarized in Caulobacter crescentus using a combination of approaches including biochemical and genetic analyses and very high-resolution microscopy. This revealed that ZitP accumulated via different pathways at the two poles and that it formed distinct structures at each pole. These structures were associated with different roles for ZitP. While ZitP recruited proteins, including CpaM, required for assembly of pili to one of the poles, it acted differently at the opposite pole.

By mutating regions of ZitP, Mignolet et al. went on to show that different regions of the protein carry out these roles. Further experiments demonstrated that regulators of the cell division cycle influenced how ZitP and CpaM accumulated and behaved in cells, ensuring that the proteins carry out their roles at the correct time during division. These findings provide more evidence that proteins can have different roles at distinct sites within a cell, in this case at opposite poles of a cell. Future studies will be needed to determine whether this is seen in cells other than Caulobacter including more complex, non-bacterial cells.

DOI: http://dx.doi.org/10.7554/eLife.18647.002

Introduction

Some regulatory proteins that execute important developmental, cytokinetic or morphogenetic functions are localized in monopolar fashion, whereas others are sequestered to both cell poles (Dworkin, 2009; Martin and Goldstein, 2014; Shapiro et al., 2002; St Johnston and Ahringer, 2010). It is unclear if bipolar proteins can confer specialized functions from each polar site, but examples of proteins with a bipolar disposition have been reported for eukaryotes and prokaryotes (Davis et al., 2013; Martin and Berthelot-Grosjean, 2009; Tatebe et al., 2008; Treuner-Lange and Sogaard-Andersen, 2014).

The synchronizable Gram-negative α-proteobacterium Caulobacter crescentus (henceforth Caulobacter) is a simple model system to study pole-specific organization and cell cycle control (Tsokos and Laub, 2012). The Caulobacter predivisional cell is overtly polarized and spawns two morphologically dissimilar and functionally specialized daughter cells, each manifesting characteristic polar appendages (Figure 1A). The swarmer progeny is a motile and non-replicative dispersal cell that samples the environment in search of food. It harbours adhesive pili and a single flagellum at one pole and is microscopically discernible from the stalked cell progeny, a sessile and replicative cell that features a stalk, a cylindrical extension of the cell envelope, on one cell pole. While the stalked cell resides in S-phase, the swarmer cell is in a quiescent G1-like state from which it only exits concomitant with the differentiation into a stalked cell. During this G1→S transition, the polar flagellum and pili of the swarmer cell are eliminated and replaced by the stalk that elaborates from the vacated cell pole. Upon sequential transcriptional activation of developmental factors during the cell cycle (Panis et al., 2015), the nascent stalked cell re-establishes polarization and ultimately gives rise to an asymmetric pre-divisional cell that yield a swarmer and a stalked progeny.

Figure 1. Cell cycle profile and phylogeny of ZitP and CpaM.

Figure 1.

(A) Scheme depicting the polarized factors PopZ, ZitP and CpaM during the cell cycle of the dimorphic bacterium C. crescentus. (B) Pilus assembly pathways and global dependencies of the two master cell cycle regulators GcrA and CtrA on the expression of the polar factors PodJ, CpaE, ZitP, CpaM and CpaC that control pilus biogenesis. Red and black dashed lines highlight transcriptional activation and polar recruitment, respectively. (C) Schematic representation (drawn to scale) of ZitP (blue) and CpaM (yellow). ZnR: zinc finger domain; TM: transmembrane domain, C: cysteine. Arrowheads below each protein pinpoint the site of truncation due to transposon insertion in the coding sequence. The large triangle on top of ZitP shows the 2 amino acid residues deleted in the ZitPGAP variant and the small triangle depicts the position of residue 133 where the ZitP coding sequence is truncated in the ZitP1-133 variant. (D) Conservation of ZitP (blue), CpaM (yellow) and CpaC (purple) across the α-proteobacterial clades. The phylogenetic tree was built in CLC Main Workbench (http://www.clcbio.com/products/clc-main-workbench/) from 16S RNA alignments based on the Neighbor Joining method (Juke Cantor substitution model) with 100 bootstrap replicates. Empty boxes mean that no ortholog was found in the genome. Scale bar, 0.15 substitution per site.

DOI: http://dx.doi.org/10.7554/eLife.18647.003

The GcrA transcriptional regulator predominates in early S-phase (Holtzendorff et al., 2004) (Figure 1A–B). It accumulates during the G1→S transition and activates expression of polarity factors that are required for pilus or flagellum biogenesis and cytokinetic components (Davis et al., 2013; Fioravanti et al., 2013; Murray et al., 2013; Quon et al., 1996; Viollier et al., 2002b) (Figure 1A–B). Among GcrA target promoters, is the promoter controlling expression of the PodJ polar organizer that localizes to the pole opposite the stalk and directs assembly of the Caulobacter pilus assembly (cpa) machine at that site. In this cascade, PodJ recruits the cytoplasmic CpaE protein that then promotes the localization and assembly of CpaC secretin localization (Figure 1B) (Viollier, 2002a). Another key promoter controlled by GcrA is the one driving expression of the master cell cycle regulator CtrA that induces the synthesis of a second wave of polar and morphogenesis factors in late S-phase including the cpa operon (Figure 1B). The abundance of CtrA and GcrA is regulated at the level of synthesis and degradation (Collier et al., 2006; Domian et al., 1997) and as a result, cell division spawns a swarmer and stalked cell progeny containing CtrA and GcrA, respectively.

An important polarity determinant in the α-proteobacteria is the conserved matrix protein PopZ (Figure 1A) that organizes poles by forming a molecular lattice that traps polar determinants and effectors (Bowman et al., 2008; Deghelt et al., 2014; Ebersbach et al., 2008; Grangeon et al., 2015; Laloux and Jacobs-Wagner, 2013). PopZ is bipolar in the Caulobacter predivisional cell and it interacts directly with numerous cell cycle kinases, the ParAB chromosome segregation proteins and cell fate determinants (Holmes et al., 2016). Here, we dissect at the genetic and cytological level the polar localization and function of two poorly characterized trans-membrane proteins, the zinc-finger protein ZitP and the CpaM effector protein, that are polarly localized and that execute multiple regulatory functions. We unearthed two separate localization pathways for each cell pole, one PopZ-dependent and another that is PopZ-independent, and we provide evidence by photo-activated localization microscopy (PALM) and by genetic dissection that each polar cluster has a distinctive architecture and a specialized function.

Results

ZitP and CpaM are required for pilus biogenesis.

As pili are necessary for infection by the lytic caulophage CbK (φCbK) (Skerker and Shapiro, 2000), we specifically sought mutants in pilus assembly factors encoded outside of the major pilus assembly cpa gene locus (pilA-cpaA-K) (Christen et al., 2016; Skerker and Shapiro, 2000). To this end, we conducted himar1-transposon (Tn) mutagenesis of wild-type (WT) Caulobacter in the presence of φCbK (see Methods) and recovered mutants with Tninsertions in CCNA_02298, renamed here zitP (zinc-finger targeting the poles) because of the pleiotropic roles detailed below, or in cpaM (CCNA_03552) (Figure 1C) (Marks et al., 2010). While both genes have previously been implicated in polar functions and their transcription is cell cycle-regulated (Christen et al., 2016; Fioravanti et al., 2013; Fumeaux et al., 2014; Hughes et al., 2010; McGrath et al., 2007), they are poorly characterized. The zitP gene is predicted to encode a 311-residue bitopic trans-membrane (TM) protein harbouring a CXXC-(X)19-CXXC motif that binds a zinc ion (zinc_ribbon_5 or PF13719 superfamily, residues 1-37) at the cytoplasmic N-terminus (Bergé et al., 2016) and a conserved domain-of-unknown function (DUF3426, residues 128-245) in the C-terminal region that is predicted to reside in the periplasm (Figure 1C). The cpaM gene codes for a 394-residue protein harbouring a single N-terminal TM domain and a C-terminal CE4_DAC2-like polysaccharide deacetylase domain predicted to be periplasmic (Figure 1C). ZitP and CpaM are not restricted to the Caulobacter lineage as BLASTP searches revealed orthologs in many α-proteobacterial clades (Figure 1D). To confirm the phenoytpes of the Tn insertion mutants, we engineered strains with an in-frame deletion in zitPzitP) or cpaMcpaM) and found that the mutants no longer supported plaque formation (lysis) by the pilus-specific bacteriophage φCbK. By contrast, plaques were still formed by the S-layer specific caulophage φCr30 (Edwards and Smit, 1991) (Figure 2A), showing that mutations in cpaM or zitP prevent infection of φCbK, but not all phages. This defect was corrected upon expression of either ZitP or CpaM from an ectopic locus in ΔzitP or ΔcpaM cells, respectively (Figure 2A).

Figure 2. Functional dichotomy in ZitP and effects on polar morphogenesis.

(A) Bacteriophage infection assays of WT, ΔzitP, ΔzitP;fliGD306G and ΔcpaM mutant cells. Cells harbour empty pMT335 or a complementing plasmid (pMT335 backbone) and were grown in the absence of vanillate. No xylose was added to the agar for the phage assay on ΔcpaM; Pxyl-dendra2-cpaM cells. The phages φCbK and φCr30 were spotted with serial dilution on C. crescentus embedded in top agar. Sensitivity to phages is indicated by plaques (lysis). (B) Adsorption kinetics of φCbK to WT and mutant cells. (C) Steady-state levels of ZitP, CpaM, CpaC, modified CpaC (CpaC*) and PilA in WT and mutant cells as determined by immunoblotting. In the PilA immunoblots, the asterisk (*) points to a non-specific band. (D) Immunoblots showing the steady-state levels of monomeric CpaC and CpaC* in ΔzitP cells harbouring pMT335 or derivatives encoding ZitPWT, ZitPCS or ZitPGAP grown in the presence of vanillate (50 µM). (E) Immunoblots showing PilA and FljK abundance in supernatants of WT and various mutant cells. Supernatants were harvested from mid-log cultures after shearing. (F) Swarming motility test performed on soft (0.3%) agar with WT, ΔzitP, ΔcpaM, ΔpilA and Δfljx6 mutant cells. (G) Complementation of the motility defect on swarm (0.3%) agar displayed by the ΔzitP cells expressing Dendra2-ZitP variants from Pxyl at the xylX locus. Xylose was added to the swarm (0.3%) agar as indicated. (H) Flow cytometry of exponential phase WT and ΔzitP cells. N refers to chromosome equivalents. (I) Suppression of the ΔzitP motility phenotype by fliGD306G point mutation as shown on a swarm (0.3%) agar plate. (J) Phage spot tests with φCr30 and φCbK on WT or ΔzitP cells expressing Dendra2-ZitP variants from Pxyl at the xylX locus. Cells were embedded in top agar containing xylose (0.3%). (K) Motility assays of ΔzitP cells expressing WT ZitP (ZitPWT), ZitPCS or ZitPGAP from pMT335. Swarming motility was assessed in absence of vanillate on 0.3% agar.

DOI: http://dx.doi.org/10.7554/eLife.18647.004

Figure 2.

Figure 2—figure supplement 1. Master regulator-dependent promoters in ΔzitP.

Figure 2—figure supplement 1.

Relative β-galactosidase activity (in percentage) of various lacZ-fused promoters in WT and ΔzitP cells.
Figure 2—figure supplement 2. CtrA- and (p)ppGpp-independent influence of the ΔzitP motility defect.

Figure 2—figure supplement 2.

(A) Relative β-galactosidase activity of lacZ-based promoter-probe reporters to the promoters of pilA and CC_1982 in WT, ΔzitP and cpaM cells. (B) Relative β-galactosidase activity of lacZ-based promoter probe reporters to the promoters of pilA and CC_1982 with Pxyl-relA’ (pXTCYC-4-relA′-FLAG) or the pXTCYC-4 control plasmid (vector). (C) Motility test on swarm agar of WT, ΔzitP and ΔcpaM cells transformed with Pxyl-relA’ (pXTCYC-4-relA′-FLAG) or the pXTCYC-4 control plasmid (vector). Xylose was added or not to the agar. (D) Motility test on swarm agar of WT and ΔzitP cells transformed with Pxyl-relA’ (pXTCYC-4-relA′-FLAG) or the pXTCYC-4 control plasmid (vector). Xylose was added to the agar.

Next, we conducted time-course adsorption assays and found the adsorption kinetics of ΔzitP and ΔcpaM cells to be substantially compromised compared to WT cells (Figure 2B). The φCbK adsorption kinetics of the mutants closely resemble those for ΔcpaC cells that cannot assemble pili because they lack the CpaC secretin (Skerker and Shapiro, 2000). Moreover, immunoblotting revealed that ΔzitP and ΔcpaM cells do not accumulate the modified form of CpaC, CpaC* (Figure 2C–D). A comparable reduction in CpaC* abundance has been previously reported for ΔcpaE, ΔpodJ and ΔpleA cells that no longer assemble a polar CpaC pilus channel in the outer membrane and cannot be infected by φCbK (Viollier and Shapiro, 2003; Viollier et al., 2002b). However, CpaC* accumulates in ΔpilA cells (Figure 2C), suggesting that the CpaC channel forms independently of PilA. To test whether ΔzitP and ΔcpaM cells assemble a pilus filament on the cell surface, we conducted shearing assays followed by immunoblotting using antibodies to the PilA pilin, the subunit of the pilus filament (Figure 2E) (Skerker and Shapiro, 2000). Whereas PilA was efficiently released from WT cells into the supernatant by shearing, no PilA was detectable in the supernatants of ΔcpaE, ΔzitP and ΔcpaM cells after shearing (Figure 2E), even though PilA is clearly expressed in these cells (Figure 2C). As the major subunit of the flagellar filament, the FljK flagellin, accumulates in the supernatants in all samples (Figure 2E), we conclude that ZitP and CpaM are required for the presentation of PilA on the cell surface and, as shown below, that they act in the same pathway (Figure 1B).

Control of motility, G1-phase and the CtrA regulon.

The φCbK adsorption kinetics hinted that motility might be altered in ΔzitP and ΔcpaM cells. This hypothesis is based on the comparison of the φCbK adsorption kinetics to WT, ΔpilA and Δfljx6 (lacking all six flagellin genes: fljJ/K/L/M/N/O) cells to ΔzitP and ΔcpaM cells. While pililess ΔpilA cells assemble a flagellum and are motile (Figure 2F), Δfljx6 cells are flagellumless, but piliated (φCbK sensitive) (Guerrero-Ferreira et al., 2011). The kinetics of adsorption of φCbK to ΔzitP and ΔcpaM cells was strongly reduced compared to WT, fitting halfway between the adsorption curves of φCbK to ΔpilA and Δfljx6 cells (Figure 2B). Since it is known that φCbK first reversibly adsorbs to the flagellar filament rotating counter-clockwise, before the irreversibly attachment to the pilus portal is established for productive infection (Guerrero-Ferreira et al., 2011), we wondered whether there are fewer motile cells in the ΔzitP and ΔcpaM populations than in WT or if motility in these mutants is altered in other ways. In fact, motility tests on swarm (0.3%) agar revealed a mild reduction in motility of ΔcpaM cells and a severe reduction of ΔzitP cells compared to WT (Figure 2F). However, ΔzitP cells still have residual motility that allows them to spread in swarm agar compared to Δfljx6 cells (Figure 2F). Expression of Dendra2-ZitP from an ectopic locus confers near WT motility to ΔzitP cells (Figure 2G), showing that this deficiency in motility is indeed due to the absence of ZitP.

As Caulobacter divides into a motile G1-phase cell and a sessile S-phase cell, mutants accumulating fewer G1-phase cells in the population can exhibit reduced motility on soft agar (Sanselicio et al., 2015; Sanselicio and Viollier, 2015). To test if ZitP controls the G1 cell number, we used flow cytometry to quantify the number of G1 cells and indeed observed fewer G1 cells in the ΔzitP population compared to WT (Figure 2H). Knowing that the master cell cycle transcriptional regulator CtrA retains cells in G1-phase and activates many cell cycle-regulated promoters that fire in G1-phase (Domian et al., 1997; Fumeaux et al., 2014; Quon et al., 1996), we then conducted promoter-probe assays using several CtrA-activated promoters fused to the promoterless lacZ gene and quantified CtrA-dependent promoter activity in WT and ΔzitP cells (Figure 2—figure supplement 1). While all such promoter-probe reporters for the CtrA regulon exhibited a decrease in activity by 30-40% in ΔzitP versus WT cells, promoter-probe reporters for the GcrA regulon or other reporters were unaffected. Thus, ZitP is required for optimal CtrA activity and G1 cell accumulation.

The reduction in CtrA-dependent transcription does not appear to be solely responsible for the motility defect of ΔzitP cells. First, promoter-probe assays revealed that ΔcpaM cells also suffer from reduced CtrA-dependent activation (Figure 2—figure supplement 2A), even though their motility exceeds that of ΔzitP cells (Figure 2F). Second, we were able to mitigate the defect in CtrA-dependent transcription by ectopic expression of the (p)ppGpp alarmone, a signalling molecule that enhances CtrA function and stability via a poorly understood mechanism (Gonzalez and Collier, 2014). We accomplished this by heterologously expressing the truncated version of the E. coli (p)ppGpp-synthase RelA (RelA’) from the xylose-inducible promoter at the xylX locus in WT and ΔzitP cells. LacZ-based promoter-probe assays revealed that ectopic induction of (p)ppGpp restores CtrA-dependent promoter activity to near WT levels (Figure 2—figure supplement 2B). However, the motility of ΔzitP cells ectopically producing (p)ppGpp is still substantially lower than that of WT cells (Figure 2—figure supplement 2C–D), indicating that ZitP also promotes motility through a CtrA- and (p)ppGpp-independent pathway.

To reinforce this conclusion, we isolated a spontaneous motile suppressor of ΔzitP cells (see Materials and Methods, Figure 2I) with a single point mutation in the fliG flagellar gene (fliGD306G) that neither corrects the pilus assembly defect (φCbK-resistance, Figure 2A), nor the reduction in G1 cell number of the ΔzitP mutant (Figure 2H). As FliG encodes a component of the flagellar motor that is associated with the cytoplasmic membrane (Macnab, 2003), we conclude that ZitP controls pilus biogenesis and a multifactorial motility phenotype, with a minor contribution from a CtrA-dependent pathway and a major one from a CtrA-independent pathway(s) that can be bypassed by a mutant variant of FliG.

Distinct polar ZitP assemblies control CpaM localization

To investigate if ZitP also controls its polar functions from the cell pole, we resorted to live-cell fluorescence imaging by epifluorescence microscopy (Figure 3—figure supplement 1A–D) and photo-activated localization microscopy (PALM, Figure 3A–B and D–E) (Betzig et al., 2006) using WT, ΔzitP or ΔcpaM cells expressing functional Dendra2-CpaM or Dendra2-ZitP. We observed Dendra2-ZitP to adopt a bipolar disposition in dividing cells, whereas Dendra2-CpaM is restricted to the pole opposite the stalk where the pilus biogenesis machinery assembles (Figure 3A–B; Figure 3—figure supplement 2A–C). While Dendra2-ZitP localization is not noticeably perturbed in ΔcpaM cells (Figure 3—figure supplement 1B–C), Dendra2-CpaM is dispersed in ΔzitP cells (Figure 3A; Figure 3—figure supplement 1D and 2B). Moreover, biochemical pull-down experiments with ZitP-TAP (Figure 3—figure supplement 3) and reciprocal co-immunoprecipitation experiments using antibodies to ZitP and CpaM (Figure 3C) showed that ZitP and CpaM reside in a complex. Since Dendra2-ZitP and Dendra2-CpaM localization is not affected in ΔpodJ, ΔcpaE or ΔcpaC cells (Figure 3F, Figure 3—figure supplement 1C and D) and since CpaE localization is not noticeably altered in ΔzitP and ΔcpaM cells (Figure 3—figure supplement 4A–B), we conclude that ZitP and CpaM are part of a previously unknown (PodJ/CpaE-independent) polarization pathway for pilus assembly in Caulobacter in which ZitP recruits CpaM (Figure 1B).

Figure 3. Distinct ZitP nanoscale assemblies and localization determinants.

(A) Photo-activated light microscopy (PALM) imaging of Dendra2-ZitP or Dendra2-CpaM expressed from the xylose-inducible Pxyl promoter on a plasmid integrated at the chromosomal xylX locus in ΔzitP or ΔcpaM cells exposed to xylose 3 hours before imaging. Scale bar: 1 µm. (B) PALM imaging of Dendra2-ZitP in WT or ΔpopZ::Ω cells. We induced expression of Dendra2-ZitP from the xylose-inducible Pxyl promoter on a plasmid integrated at the chromosomal xylX locus by the addition of xylose 3 hours before imaging. Scale bar: 1 µm. Scale bar of zoomed images: 0.5 µm. (C) Co-immunoprecipitation (co-IP) of ZitP or CpaM with polyclonal antibodies to CpaM or ZitP, respectively. Immunoprecipitates and cell lysates from WT, ΔzitP or ΔcpaM cells were probed for the presence of ZitP or CpaM. (D) Projected area of the Dendra2-ZitP polar complex as determined by PALM from Dendra2-ZitP expressed in WT and ΔpopZ::Ω cells. Black lines indicate medians. Statistical significance from Mood’s median test: n.s, p>0.05; ***p<0.001. (E) ZitP polar binding times in WT and ΔpopZ::Ω cells, measured via single particle tracking PALM. Error bars indicate 95% confidence interval of the fit to the data (Figure 3—figure supplement 6D). Statistical significance from a 2 sample t-test: ***p=p<0.001. (F) Epifluorescence (Dendra2) and Nomarski (DIC) images depicting the localization of Dendra2-ZitP or Dendra2-CpaM in ΔpopZ::Ω, ΔdivJ, divKcs, ΔpleC, ΔcpaE or ΔpodJ cells. Expression of Dendra2-ZitP or Dendra2-CpaM was induced from the chromosomal xylX locus with xylose 4 hours before imaging. Scale bars: 1 µm. (G) (H) Epifluorescence (Dendra2) and Nomarski (DIC) images depicting the localization of the motility-deficient and pilus-proficient Dendra2-ZitPCS variant (G) or the motility-proficient and pilus-deficient Dendra2-ZitP1-133 variant (H) in ΔzitP cells. Arrow heads pinpoint stalked poles. We induced expression of Dendra2-fusions from the xylose-inducible Pxyl promoter on a plasmid integrated at the chromosomal xylX locus by the addition of xylose 4 hours before imaging. Scale bars: 1 µm.

DOI: http://dx.doi.org/10.7554/eLife.18647.007

Figure 3.

Figure 3—figure supplement 1. Extrinsic determinant for the localization of ZitP and CpaM.

Figure 3—figure supplement 1.

(A) Epifluorescence (Dendra2) and Nomarski (DIC) images depicting the localization of Dendra2-ZitP and Dendra2-CpaM variants in asynchronious ΔzitP or ΔcpaM cells, respectively. We induced expression of Dendra2 fusions expressed from the xylose-inducible Pxyl promoter on a plasmid integrated at the chromosomal xylX locus. Scale bars: 1 µm. (B) Subcellular localisation of Dendra2-ZitP in the ΔcpaM mutant. Cells were imaged in epifluorescence (GFP channel) and bright field mode (DIC). We induced expression of Dendra2-ZitP from Pxyl on plasmids integrated at the chromosomal xylX locus by the addition of xylose 4 hours before imaging. Scale bar: 1 µm. (C) (D) Quantification of Dendra2-ZitP (C) or Dendra2-CpaM (D) localization states (diffuse, monopolar or bipolar) in WT or polarity mutants cells. Dendra2 fusions were expressed from the xylose-inducible Pxyl promoter on a plasmid integrated at the chromosomal xylX locus. The total cell count (n) for each strain is shown above related stacked bars. Values are expressed in percentage of whole cell population.
Figure 3—figure supplement 2. ZitP and CpaM polar localization by PALM.

Figure 3—figure supplement 2.

(A) PALM images of ZitP or CpaM localization in ΔzitP and ΔcpaM cells, respectively. We induced expression of Dendra2-fusions from the xylose-inducible Pxyl promoter on a plasmid integrated at the chromosomal xylX locus by the addition of xylose 3 hours before imaging. Scale bars: 0.5 µm. (B) PALM images of CpaM localization in WT and ΔzitP cells. We induced expression of Dendra2-fusions from the xylose-inducible Pxyl promoter on a plasmid integrated at the chromosomal xylX locus by the addition of xylose 3 hours before imaging. Scale bars: 1 µm. (C) ZitP localization, with zoomed images of poles in WT and ΔpopZ::Ω cells. Scale bar 0.5 µm.
Figure 3—figure supplement 3. Tandem affinity purification of ZitP.

Figure 3—figure supplement 3.

Tandem affinity purification (TAP) performed on WT cell extracts bearing an empty pCWR512 plasmid (control) or the Pvan-zitP-TAP plasmid. After electrophoresis of TAP extracts, the gel was silver-stained as guided by the manufacturer (SilverQuest, Invitrogen). Arrows indicate bands that were extracted and sent for mass spectrometry analyses. They indicate as well the main identified proteins.
Figure 3—figure supplement 4. CpaE localization in ΔzitP and ΔcpaM mutant cells.

Figure 3—figure supplement 4.

(A) Epifluorescence (YFP-CpaE) and Nomarski (DIC) images depicting the localization of the pilus component CpaE N-terminally fused to YFP expressed form the native cpaE locus (yfp-cpaE) in WT, ΔzitP and ΔcpaM cells. The scale bars represent 1 µm. (B) Quantification of YFP-CpaE localization profile (diffuse, monopolar or bipolar) in the aforementioned strains. The total cell count (n) for each strain is shown above related stacked bars. Values are expressed in percentage of whole cell population.
Figure 3—figure supplement 5. Quantitative analysis of ZitP cluster shape and area.

Figure 3—figure supplement 5.

(A) Measurement of polar cluster area. Automated clustering of Dendra2-ZitP localization using DBSCAN. Red dots, identified clusters; black crosses, low-density localizations outside of polar clusters. (B) Image processing operations for area measurement. Identified clusters (i) were converted to a binary image (ii) which was then processed via morphological closing (iii) to make the cluster area measurement less sensitive to noise and molecule sampling rate. (C) Measured circularity, solidity and eccentricity of WT stalked pole, WT other (swarmer) pole and polar foci in ΔpopZ::Ω cells. (D) Measured area of WT stalked pole, WT other (swarmer) pole and polar foci in ΔpopZ::Ω cells compared to the observed area of simulated zero-area clusters. Observed zero-area cluster size is non-zero due to experimental noise. Stars indicate statistical significance: n.s, p>0.05; *p<0.05; **p<0.01; ***p<0.001.
Figure 3—figure supplement 6. Binding time estimation by stroboscopic single particle tracking of ZitP.

Figure 3—figure supplement 6.

(A) Exemplar histograms of effective on-time (ie. combination of actual binding lifetime with photobleaching lifetime) in different time-lapse conditions for Dendra2-ZitP in WT cells. Lines are fits by a single exponential model. (B) Observed effective on-time of polar Dendra2-ZitP as a function of time-lapse duration in WT and ΔpopZ cells. Fitting of the data with Eq 4 (Gebhardt model) shows large systematic errors. By accounting for finite camera integration time (Eq 5) we obtained good fits to the data. Error bars indicate 1 s.d. (C) Simulation showing the effect of finite camera integration time on observed on-time. Observed on-time (obs. on-time) shows a strong plateau at a minimum observable on-time, compared to the true on-time (sim. on-time), confirming that the plateau observed experimentally most likely arises from finite camera integration time. By accounting for this effect (Eq 5) we obtained good fits to the data. Error bars indicate 1 s.d. (D Comparison of observed effective on-time of polar Dendra2-ZitP as a function of time-lapse duration in WT and ΔpopZ cells, showing fitting with the revised binding time model (Eq 5). Error bars indicate 1 s.d.
Figure 3—figure supplement 7. Intrinsic determinants for ZitP localization and function.

Figure 3—figure supplement 7.

(A) Epifluorescence (Dendra2) and Nomarski (DIC) images depicting the localization profile of Dendra2-CpaM in ΔzitP cells complemented with ZitP-expression plasmids. ZitPWT, ZitPCS or ZitPGAP were expressed from pMT335 (without vanillate). We used empty pMT335 (-) as a control. Scale bars: 1 µm. (B) Quantification of Dendra2-CpaM localization states (diffuse, monopolar or bipolar) in ΔzitP cells expressing ZitPWT, ZitPCS or ZitPGAP from pMT335 (without vanillate). We used empty pMT335 (-) as a control. Dendra2 fusions were expressed from the xylose-inducible Pxyl promoter on a plasmid integrated at the chromosomal xylX locus. The total cell count (n) for each strains are shown above related stacked bars. Values are expressed in percentage of whole cell population. (C) Reciprocal co-immunoprecipitation (IP) of ZitP variants or CpaM protein with polyclonal antibodies to CpaM or ZitP, respectively. Immunoprecipitates and cell lysates were probed for the presence of ZitP or CpaM by immunoblotting (IB). Extracts were made from ΔzitP and ΔcpaM cells expressing ZitPWT, ZitPCS, ZitPGAP or CpaM from pMT335 grown without vanillate. (D) Quantification of Dendra2-ZitPCS and Dendra2-ZitPGAP localization states (diffuse, monopolar or bipolar) in the ΔzitP cells from the xylose-inducible Pxyl promoter on a plasmid integrated at the chromosomal xylX locus. The total cell count (n) is shown above the stacked bar. Value is expressed in percentage of whole cell population.
Figure 3—figure supplement 8. Effect of DUF3426 on ZitP function.

Figure 3—figure supplement 8.

(A) Relative β-galactosidase activity of lacZ-based promoter-probe reporters to the pilA and CC_1982 promoter in WT and zitP cells expressing Dendra2-ZitP variants from Pxyl at the xylX locus. Xylose was added to the medium. (B) Epifluorescence (Dendra2) and phase images depicting the localization profile of Dendra2-CpaM in ΔzitP cells complemented with pMT463-derived plasmids expressing either WT ZitP (ZitPWT) or ZitP1-133. We used empty pMT463 (-) as a control. Scale bars: 1 µm. (C) Epifluorescence (Dendra2) and phase contrast overlays depicting the localization of Dendra2- ZitPGAP from the xylX locus in ΔzitP cells. Scale bars: 1 µm

PALM analysis disclosed differently shaped and sized complexes of Dendra2-ZitP at each Caulobacter pole. Both Dendra2-ZitP clusters appear extended, suggesting that ZitP multimerization along the polar membrane is spatially restricted (Figure 3A–B; Figure 3—figure supplement 2A and C). Quantification of the 2D area and shape-based analyses (circularity, solidity and eccentricity) showed that ZitP clusters extending into the base of the stalk are significantly larger and differently shaped than the extended fluorescent foci lining the cap of the opposite (swarmer) pole (Figure 3B and D; Figure 3—figure supplement 2A, C and 5A–D). In further support of the existence of two distinct nanostructures of ZitP at each pole, genetic experiments revealed that different pathways govern ZitP polarization: one requiring PopZ and another operating independently of PopZ. Imaging of Dendra2-ZitP in ΔpopZ cells revealed mainly monopolar foci (Figure 3B and F; Figure 3—figure supplement 1C and 2C), resembling those seen at the pole opposite the stalk in WT cells (Figure 3B and D; Figure 3—figure supplement 2C and 5C–D). Quantitative analysis of the polar residence time using stroboscopic single particle tracking PALM (Gebhardt et al., 2013) revealed a strong reduction in polar binding times of Dendra2-ZitP in ΔpopZ compared to that of WT cells (Figure 3E; Figure 3—figure supplement 6A–D). Thus, PopZ promotes the formation of a large polar ZitP assembly at the stalked pole, whereas a small complex of ZitP sequesters independently of PopZ at the opposite pole.

Localization and functional determinants in ZitP

To identify the determinants within ZitP governing the differential polar localization and to test if they support specific functions, we first constructed a mutant variant of ZitP in which all four zinc-coordinating cysteine residues in the zinc-finger domain (Bergé et al., 2016) are replaced by serine residues (henceforth ZitPCS, Figure 1C). The motility of ΔzitP cells expressing ZitPCS or Dendra2-ZitPCS is reduced compared to those expressing the WT version of ZitP (ZitP or Dendra2-ZitP; Figure 2G and K). While Dendra2-ZitPCS exclusively localizes to the pole opposite the stalk in ΔzitP cells (Figure 3G; Figure 3—figure supplement 7A), it still supports lysis by φCbK (Figure 2A) and CpaC* assembly (Figure 2D). ZitPCS supports localization of Dendra2-CpaM to the pole opposite the stalk and co-immunoprecipitation experiments show that it interacts with CpaM (Figure 3—figure supplement 7B–D). ZitPCS also confers (CpaM-dependent) firing of CtrA-activated promoters with similar efficiency as WT ZitP (Figure 3—figure supplement 8A). Since Dendra2-CpaM is also still monopolar in ∆popZ cells, zinc-binding within the zinc_ribbon_5 domain is necessary for the interaction between PopZ and ZitP (Bergé et al., 2016), but not for CpaM localization/interaction. Thus, inactivation of the zinc-coordinating residues in ZitP effectively mimics the monopolar localization of Dendra2-ZitP in ∆popZ cells and functions as unmodified ZitP with respect to the functions that depend on CpaM.

By contrast, the opposite effect was seen when ZitP1-133, a ZitP variant that lacks the periplasmic DUF3426 but retains the cytoplasmic and TM domains (residues 1-133, Figure 1C), is expressed in ∆zitP cells. ZitP1-133 supports efficient motility and is polarly localized, but no longer supports pilus function (i.e. plaque formation by φCbK), CpaM localization and efficient CtrA-activated transcription (Figure 2G and J, Figure 3—figure supplement 8A–B). Thus, the periplasmic DUF3426 plays a critical role in promoting pilus assembly through the polar recruitment of CpaM.

Support for the notion that DUF3426 function is regulated from sequences N-terminal to the DUF3426 came from a forward genetic screen (see Materials and Methods) that led to the identification of ZitPGAP (Figure 1C), a mutant variant in which residues Arg93 and Ala94 preceding the TM domain are deleted. ZitPGAP supports motility (Figure 2K), but neither plaque formation by φCbK, nor CpaC* production (Figure 2A and D). As ZitPGAP still localizes to the cell poles, interacts with CpaM and recruits Dendra2-CpaM (Figure 3—figure supplements 7A–D and 8C), ZitP also acts on pilus biogenesis independently of CpaM localization.

Taken together our experiments indicate that function and localization of ZitP can be genetically uncoupled. The periplasmic DUF3426 region is required for pilus biogenesis and CtrA-dependent transcription and it implements these functions via the recruitment of CpaM to the pole opposite the stalk. The zinc_ribbon_5 domain promotes PopZ-dependent localization of ZitP to the stalked pole and efficient swarming motility by an unknown mechanism. Interestingly, in a related study, we recently found that ZitP controls PopZ localization independently of the DUF3426 (Bergé et al., 2016).

Cell cycle control of ZitP and CpaM assemblies

Synchronization studies and genetic experiments with cell cycle mutants showed that ZitP and CpaM polarization is temporally and functionally coordinated with cell cycle progression. Immunoblotting revealed the steady-state levels of ZitP and CpaM to fluctuate during the cell cycle (Figure 4A), exhibiting a trough during the G1→S transition and concomitant loss of polar fluorescence at this time (Figure 4B–C). Consistent with the genetic and cytological hierarchy, ChIP-Seq data shows that the early S-phase regulator GcrA directly promotes ZitP and CtrA expression, while the late S-phase regulator CtrA activates expression of CpaM (Fiebig et al., 2014; Fioravanti et al., 2013; Fumeaux et al., 2014; Murray et al., 2013). Moreover, ZitP, CtrA and CpaM abundance is reduced when GcrA is depleted or inactivated (Figure 4D). ZitP expression is also strongly reduced in the absence of the CcrM adenine methyltransferase that methylates adenines at the N6-position in the context of 5’-GANTC-3’ sequences. GANTC methylation is required for efficient recruitment of GcrA to its target promoters (Fioravanti et al., 2013; Murray et al., 2013).

Figure 4. Cell cycle regulation of ZitP and CpaM localization.

Figure 4.

(A) Immunoblots showing the levels of ZitP, CpaM and master cell cycle regulators along the C. crescentus cell cycle in a synchronized WT population. The upper scheme depicts C. crescentus cell cycle stages. (B) (C) Epifluorescence (Dendra2) and Nomarski (DIC) images depicting the localization of Dendra2-ZitP (B) and Dendra2-CpaM (C) in synchronized ΔzitP or ΔcpaM cells, respectively. We induced expression of Dendra2 fusions expressed from the xylose-inducible Pxyl promoter on a plasmid integrated at the chromosomal xylX locus. Schematic drawings highlight Dendra2 localizations. After synchronization, cells were resuspended in M2G and imaged every 20 minutes. Scale bars: 1 µm. (D) Steady-state levels of ZitP, CpaM, CtrA, GcrA, CcrM and MreB (control) in WT, gcrA and ccrM mutant cells. Xylose (0.3%, xyl) or glucose (0.2%, glu) were supplemented to the medium in order to induce/deplete GcrA in ΔgcrA xylX::Pxyl-gcrA cells. (E) Schematic representation of the two Caulobacter cell poles. At the stalked pole, the PopZ matrix promotes the recruitment of ZitP. The Zn2+-bound zinc-finger domain of ZitP prevents ZitP/CpaM association and influences CtrA activity and swarming motility. At the opposite pole, the inactive Zn2+-unbound zinc-finger domain allows the formation of the ZitP/CpaM complex and the export and assemblage of CpaC in the outer membrane (OM)independently of PopZ.

DOI: http://dx.doi.org/10.7554/eLife.18647.016

Additionally, we found that the DivJ-PleC-DivK (kinase-phosphatase-substrate) system that regulates cell cycle progression and polar development influences the appearance of polar Dendra2-ZitP and Dendra2-CpaM (Figure 3F, Figure 3—figure supplement 1C–D). Specifically examining the localization in mutants where the phosphoflux is shifted towards the accumulation of the phosphorylated form of the DivK cell fate determinant (Tsokos and Laub, 2012), we found that such a mutation (inactivation of the PleC phosphatase, ∆pleC) promotes ZitP/CpaM polarization as indicated by the bipolar localization of Dendra2-CpaM. By contrast, mutations that have the opposite effect on DivK activity or DivK phosphorylation (caused by the divKCS or ∆divJ mutation), disfavour Dendra2-ZitP (but not Dendra2-CpaM) polarization (Figure 3F, Figure 3—figure supplement 1C–D). Thus, polar reprogramming of ZitP and CpaM is deeply integrated into the Caulobacter cell cycle through conserved components of the α-proteobacterial cell cycle (Brilli et al., 2010).

Discussion

The pole-specific and distinctly shaped assemblies of ZitP are governed via independent localization pathways and linked with functional specialization (Figure 4E). While ZitP acts on pilus assembly by recruiting CpaM and, subsequently, the CpaC pilus channel to the pole opposite the stalk (1B and 4E), CpaM is also required for efficient activation of CtrA-dependent promoters by an unknown mechanism. A similar reduction in CtrA-dependent transcription occurs in ∆zitP cells that are unable to localize CpaM. While diminished CtrA activity can undermine motility by reducing the number of motile G1-phase cells in the population (Sanselicio et al., 2015; Sanselicio and Viollier, 2015), ZitP affects motility in another way, since ∆zitP cells are diminished in motility compared to ∆cpaM cells. Moreover, ectopic induction of the alarmone (p)ppGpp reinforces CtrA abundance and activity (Boutte et al., 2012; Gonzalez and Collier, 2014; Lesley and Shapiro, 2008; Ronneau et al., 2016; Sanselicio and Viollier, 2015), but only modestly improves the motility of ∆zitP cells.

Such a motility defect also manifests when ZitPCS, a variant that no longer localizes to the stalked pole, is expressed in ∆zitP cells. How ZitP promotes swarming motility from the stalked pole is unclear, but there is precedence of other regulators (SpmX/Y and CpdR) that localize exclusively to the stalked pole and affect Caulobacter motility indirectly by regulating cell cycle factors (Janakiraman et al., 2016; McGrath et al., 2006; Radhakrishnan et al., 2008). Moreover, SpmX and CpdR interact with PopZ directly and their localization is compromised in the absence of PopZ (Bowman et al., 2010; Holmes et al., 2016). It is therefore conceivable that ZitP also affects motility indirectly from the stalked pole, possibly via cell cycle regulation, flagellar performance and/or polarity. The fact that the motility defect of ∆zitP cells can be restored by compensatory mutations in a switch component (FliG) of the flagellar motor (Kojima and Blair, 2004), suggests that flagellar performance, reversals or timing (i.e. the length of flagellation in the cell cycle) could be altered by the ∆zitP mutation.

Zinc-finger domain proteins other than ZitP may be implicated in linking motility and polarity. The gliding motility protein AgmX confers a flagellum- and pilus-independent form of surface motility in Myxococcus xanthus (Nan et al., 2010), a δ-proteobacterium that periodically reverses the polarity of movement. Since AgmX also harbors a related N-terminal Zinc-finger domain, at least two related zinc-finger domains control different types of motility. This is intriguing and hints at a potentially important and conserved role of such zinc-finger domain proteins in developmental processes that rely on protein polarization in bacteria and polar matrix proteins such as PopZ to interact with them. In a complementary study, we additionally show in vitro and in vivo that zinc-bound ZitP binds PopZ directly and regulates PopZ localization without the periplasmic DUF3426 domain (Bergé et al., 2016), suggesting that this activity in ZitP may underlie the aforementioned CtrA-independent role in motility.

The conservation of ZitP, CpaM (Figure 1D) and PopZ orthologs (Bowman et al., 2010) in distant α-proteobacterial lineages that reside in different ecological niches hints that the functions that these proteins control are not unique to the Caulobacter branch. Indeed, we describe an interaction between ZitP and PopZ in several distinct α-proteobacterial lineages (Bergé et al., 2016). On a more general scale, our work suggests that pole-specific functions conferred by bipolar regulators may be commonly used in bacteria and possibly eukaryotes. Such mechanisms could be relevant for toggle proteins, moonlighting/trigger enzymes (Commichau and Stulke, 2015) and other bifunctional regulators (Radhakrishnan and Viollier, 2012) that have more than one biochemical activity and function, for example kinase-phosphatases or synthase-hydrolases of cyclic-di-GMP sequestered to both cell poles (Boyd, 2000; Kazmierczak et al., 2006; Tsokos and Laub, 2012).

In sum, the functional and topological versatility of ZitP illustrates how a conserved regulator is used to coordinate multiple functions from different locations and structures in the same cell, relying on distinct protein domains and partners to control localization or to implement function. As these functions and polar remodelling events are coordinated with cell cycle progression in Caulobacter via conserved cell cycle proteins, it is likely that superimposed temporal layers similarly act on ZitP and CpaM orthologs in other α-proteobacterial cell cycles.

Materials and methods

Strains and growth conditions

Caulobacter crescentus NA1000 and derivatives were grown at 30°C in PYE or in M2 salts plus 0.2% glucose (M2G) supplemented with 0.4% liquid PYE (Ely, 1991). Escherichia coli S17-1, S17-1 λpir and EC100D (Epicentre Technologies, Madison, WI) were cultivated at 37°C in LB. We added 1.5% agar to PYE plates, and motility was assayed on PYE plates containing 0.3% agar. We added D-xylose (0.3% except if otherwise stated), glucose (0.2%), sucrose (3%), kanamycin (solid, 20 µg/ml; liquid, 5 µg/mL), tetracycline (1 µg/mL), spectinomycin (liquid, 25 µg/mL), spectinomycin/streptomycin (solid, 30 and 5 µg/mL, respectively), apramycin (10 µg/mL), gentamycin (1 µg/mL) and nalidixic acid (20 µg/mL), as required. Swarmer cell isolation, electroporation, biparental mating, and bacteriophage φCr30-mediated generalized transduction were performed as described before (Chen et al., 2005; Ely, 1991; Simon et al., 1983; Viollier and Shapiro, 2003).

Bacterial strains, plasmids, and oligonucleotides

Bacterial strains, plasmids, and oligonucleotides used in this study are listed and described in supplementary tables.

β-Galactosidase assays

β-Galactosidase assays were performed at 30°C as described previously (Huitema et al., 2006; Viollier and Shapiro, 2003). Experimental values represent the averages (standard error of the mean, SEM) of at least three independent experiments.

PALM imaging conditions

To image C. crescentus, overnight cultures were diluted in fresh PYE, xylose was added (0.3% final concentration), and the cells were grown for 3 hours to mid-exponential phase (OD (660) ~ 0.4). Two uL of culture was placed on a agarose pad containing PYE. The agarose pad was mounted in a silicone gasket (Grace Biolabs 103280) sandwiched between two microscope coverslips to minimize shrinkage of the agarose. The temperature of the microscope enclosure during experiments was 24°C. Images were acquired using a previously described custom built PALM microscope (Holden et al., 2014). Fluorescent proteins were excited at 560 nm, and photoactivation was induced at 405 nm at ~ 0–16 W/cm2. For PALM images of Dendra2-ZitP in C. crescentus, cells were imaged at an exposure time of 10 milliseconds for 10,000 frames, and an excitation intensity of ~4 kW/cm2. For stroboscopic single particle tracking PALM measurement of ZitP binding time, cells were imaged at an exposure time of 30 milliseconds, with a variable interval between each frame, at an excitation intensity of ~1 kW/cm2. PALM localizations were accumulated in a 2D histogram; the resulting image was blurred with a 2D Gaussian of radius 15 nm to reflect the localization uncertainty of the measurement. The image was gamma adjusted to 0.5 to compensate for the large dynamic range of the image, and the ‘Red Hot’ ImageJ colormap was applied.

Measurement of ZitP binding time by PALM

Binding time, τoff, of ZitP to the C. crescentus poles was determined via stroboscopic single particle tracking PALM (Gebhardt et al., 2013; Manley et al., 2008). Under these conditions, Dendra2 bleached under continuous illumination with a photobleaching lifetime, τb, on the order of 50 milliseconds. Since rapid diffusion means that Dendra2-ZitP is only visible when bound to the membrane, and since photobleaching will shorten the observed binding time, the effective on-time of a single Dendra2-ZitP molecule, τeff, will be the convolution of the photobleaching lifetime, τb, and the binding lifetime τoff,

τeff1=τoff1+τb1, (1)

Effective on-time was measured by combining individual Dendra2-ZitP localizations in adjacent frames into tracks (Crocker and Grier, 1996), and fitting a single exponential model to the observed the track length distribution (Figure 3—figure supplement 6A). In order to measure binding times longer than the photobleaching lifetime, the photobleaching lifetime of the fluorescent protein may be artificially extended by using stroboscopic illumination, introducing large gaps between short periods of illumination. This increases the effective bleaching lifetime to:

τbl=τblτtlτint, (2)

where τtl is duration of the gap (time lapse/strobe interval), τint is camera integration time. By measuring the effective on-time for multiple different stroboscopic illumination times, τtl, and performing a fit of:

τeff=(τoff1+τintτblτtl)1, (3)

to the data, both the binding time and photobleaching lifetime may be calculated (Gebhardt et al., 2013) (Figure 3—figure supplement 6B and C Model 1). We performed non-linear least squares fitting of the raw τeff data directly to Eq. 3, instead of calculating the quantity τtleff and performing a linear fit as proposed by Gebhardt and coworkers (Gebhardt et al., 2013), since the inverse transform proposed results in a non-linear transformation of the sample error distribution incompatible with least squares fitting. We observed that for stroboscopic illumination times significantly greater than the binding time, the data appeared to transition from the hyperbolic relationship predicted by Eq. 3 to a zero-gradient plateau (Figure 3—figure supplement 6B), giving very poor fits between Eq 3 and the data, especially for the ΔpopZ strain which appeared to have a shorter Dendra2-ZitP binding lifetime (Figure 3—figure supplement 6B). We hypothesized that this was due to an inability to accurately estimate effective on-time when molecules bind and unbind in a time significantly less than the duration of a single strobing interval (since the observed track length will almost always equal 1 frame). We confirmed this hypothesis by performing the stroboscopic tracking analysis on simulated data (Figure 3—figure supplement 6C). We simulated timetraces of molecules binding/unbinding with finite bleaching lifetimes, and measured the observed on-time for each simulated molecule by fitting a single exponential to the on-time histogram as above. We observed as hypothesized that the observed off-times showed a sharp plateau for long-strobe intervals due to the finite integration time of the measurement, giving a poor fit of Eq 3 to the data (Figure 3—figure supplement 6C). In order to correct for this, we modified the fitting model to include a minimum measurable on-time plateau:

τeff=(τoff1+τintτblτtl)1,        τtl>τtlmin,τeff=τtlmin,              otherwise. (4)

Use of the modified model allowed us to obtain accurate fits to the entire simulated dataset (Figure 3—figure supplement 6CEq 4).

We therefore used our updated model to fit the experimental data (Figure 3E and Figure 3—figure supplement 6B) and to calculate the observed binding times (Figure 3—figure supplement 6D). This gave a much better fit to the data, both at late and early strobe intervals. Notably, independent fits to the WT and ΔpopZ datasets gave similar observed τtlmin of ~0.4 frames, supporting the use of the updated model.

Measurement of ZitP cluster area and shape by PALM

In order to estimate the area of Dendra2-ZitP polar complexes, observed localizations were clustered based on local density using DBSCAN (Endesfelder et al., 2013; Ester et al., 1996). Identified clusters were converted to PALM images binarized, and morphologically closed (Figure 3—figure supplement 5Bi-iii). By performing morphological closing on the binary image, we obtained segmented clusters (Figure 3—figure supplement 5Biii) which were less sensitive to noise and better reflected the visually estimated extent of the non-segmented cluster. For each identified cluster, the area of the segmented cluster was calculated.

For the NA1000 xylX::Pxyl-dendra2-zitP strain, clusters were visually identified as belonging to the stalked or flagellar poles based on the PALM and phase contrast images of the region. For the ΔpopZ::Ω xylX::Pxyl-dendra2-zitP strain, there was no clear difference in pole morphology, so the cluster area for cells was calculated without discriminating poles. Measurement noise means that the measured area of even a zero-area cluster will be larger than zero (and approximately proportional to the localization uncertainty). To test whether Dendra2-ZitP formed an extended polar complex, we compared the area of ZitP clusters to the measured area of simulated zero-area clusters by generating simulated datasets containing localizations coming from a point source, with photon count, background noise and total number of localizations equal to the median values of either the WT or ΔpopZ::Ω datasets (Figure 3—figure supplement 5D). The cluster area of the simulated datasets was then calculated as above.

We also calculated the following shape based metrics to further quantify the differences in pole shape: circularity, solidity and eccentricity (Figure 3—figure supplement 5C).

Circularity measures similarity of a shape to a circle, C= 4πAp2, where A is shape area and p is perimeter. Solidity measures the extent to which a shape is convex or concave, S= AH , where A is shape area and H is the convex hull area of the shape. Eccentricity measures how elongated a shape is, E= ab ,where a is the length of the minor axis and b is the length of the major axis.

Since the observed distributions showed significant non-normality, statistical significance was assessed by the non-parametric test, Mood’s median test. Stars on Figure 3D and Figure 3—figure supplement 5C indicate statistical significance: n.s, p>0.05; *p<0.05; **p<0.01; ***p<0.001.

The stalked and the other (swamer) pole foci in WT showed statistically significant differences (p<0.001) in area, circularity and solidity, supporting the conclusion that ZitP forms distinct polar assemblies.

The WT stalked pole showed statistically significant differences (p<0.001) to the ΔpopZ::Ω mutant foci for area, circularity, solidity and eccentricity, supporting the conclusion that PopZ specifically promotes the formation of large polar assemblies at the stalked pole.

Isolation of φCbK resistant mutants

A himar1-based transposon mutagenesis of the NA1000 (wild-type, WT) strain was done using the E. coli S17-1 λpir strain containing the himar1-delivery plasmid pHPV414 (Viollier et al., 2004). The mutant library was selected on plates containing nalidixic acid and kanamycin embedded in top agar containing φCbK. Colonies emerging from this selection were pooled. We then created generalized transducing lysate from this pool using phage φCr30 and transduced it into strain PV14 ΔpilA-cpaF::Ωaac3 (conferring resistance to aparamycin), selecting for apramycin and kanamycin resistant transductants to eliminate himar1 insertions in the pilA-cpaF locus. The transductants were pooled and a generalized transducing lysate was prepared from this pool using φCr30. This new lysate was then used to transduce NA1000 to kanamycin resistance and the resulting clones were individually tested for resistance to φCbK. The himar1 insertion site mapping of φCbK–resistant himar1 mutants was done as described before (Viollier et al., 2004).

To isolate the zitPGAP mutation, we generated a mutant library of zitP alleles by electroporating pMT335-zitP into the mutator E. coli XL1-Red strain. We collected and pooled over 20,000 clones for plasmid extraction and we electroporated the plasmid library into the ΔzitP mutant. We incubated the electroporated cells during two hours for regeneration and next added φCbK for one hour in order to eradicate clones that bear a mutated zitP allele restoring effective phage infection. Finally, we plated cells on soft (0.3% swarming) agar to evaluate the motility properties. We picked and streaked out motile clones for amplification and plasmid extraction and introduced the plasmids back into a ΔzitP background in the perspective to confirm the motility-proficient and φCbK resistant phenotypes. We isolated a unique plasmid, pMT335-zitPGAP, which bears the zitPGAP allele (deletion of the Arg93 and Ala94 in the ZitP protein).

Immunoblotting

Protein samples were separated by SDS-PAGE and blotted on PVDF (polyvinylidenfluoride) membranes (Merck Millipore). Membranes were blocked for 1 hour with Tris-buffered saline, 0.05% Tween 20 (TBST), and 5% dry milk and then incubated for an additional 1 hour with the primary antibodies diluted in TBST, 5% dry milk. The membranes were washed 4 times for 5 minutes in TBST and incubated for 1 hour with the secondary antibody diluted in TBST, and 5% dry milk. The membranes were finally washed again 4 times for 5 minutes in TBST and revealed with Immobilon Western Blotting Chemoluminescence HRP substrate (Merck Millipore) and Super RX-film (Fujifilm). Rabbit antisera were used at the following dilutions: anti-CtrA (1:10,000), anti-PilA (1:10,000), anti-FljK (1:50,000), anti-CpaC (1:5000), anti-ZitP (1:5000), anti-CpaM (1:5000) and anti-GcrA (1:2000). HRP-conjugated Anti-rabbit secondary antibody was used at 1:20,000 dilution (Jackson ImmunoResearch, USA).

Epi-fluorescence microscopy

PYE or M2G cultivated cells in exponential growth phase were immobilized using a thin layer of 1% agarose. Fluorescence and DIC images were taken with an Alpha Plan-Apochromatic 100x/1.46 DIC(UV) VIS-IR oil objective on an Axio Imager M2 microscope (Zeiss) with 488 nm laser (Visitron Systems GmbH, Puchheim, Germany) and a CoolSnap HQ (Boutte et al., 2012) camera (Photometrics) controlled through Metamorph V7.5 (Universal Imaging). Images were processed using Image J software. Quantifications were done by manually numbering cells in the diffuse, monopolar or bipolar state.

Protein purification and production of antibodies

The PCR-amplified zitPCterm and cpaMΔTM genes were cloned into the pET28a vector (Novagen). The His6-ZitPCterm and His6-CpaMΔTM recombinant proteins were overexpressed in E. coli strain Rosetta and purified in standard native conditions on Ni2+-NTA agarose as described previously to raise rabbit polyclonal IgGs in New Zealand White rabbits (Josman LLC, Napa, CA).

Tandem affinity purification (TAP) and mass spectrometry

We followed the TAP procedure as was previously described (Puig et al., 2001). When a 1 L-culture reached OD660 between 0.4 and 0.6 in the presence of 50 mM vanillate, cells were harvested by centrifugation (6000xg, 10 min). We washed the pellet in 50 mL of buffer I (50mM sodium phosphate pH 7.4, 50 mM NaCl, 1 mM EDTA) and lysed for 15 minutes at room temperature in 10 mL of buffer II (buffer I + 0.5% n-dodecyl-β-D-maltoside, 10mM MgCl2, two protease inhibitor tablets [Complete EDTA-free, Roche] per 50 mL of buffer II, 1x Ready-Lyse lysozyme [Epicentre], 500U of DNase I [Roche]). Cellular debris was removed by centrifugation (7000xg, 20 minutes, 4°C). The supernatant was incubated for 2 hours at 4°C with IgG Sepharose beads (GE Healthcare Biosciences) that had been washed once with IPP150 buffer (10 mM Tris-HCl pH 8, 150 mM NaCl, 0.1% NP40). After incubation, the beads were washed at 4°C three times with 10 mL of IPP150 buffer and once with 10 mL of TEV cleavage buffer (10 mM Tris-HCl pH 8, 150 mM NaCl, 0.1% NP40, 0.5 mM EDTA, 1 mM DTT). The beads were then incubated overnight at 4°C with 1 mL of TEV solution (TEV cleavage buffer with 100 U of TEV protease per ml [Promega]) to release the tagged complex. 3 mM CaCl2 was then added to the solution. The sample with 3 mL of calmodulin-binding buffer (10 mM β-mercaptoethanol, 10 mM Tris-HCl pH 8, 150 mM NaCl, 1 mM magnesium acetate, 1 mM imidazole, 2 mM CaCl2, 0.1% NP40) was incubated for 1 hour at 4°C with calmodulin beads (GE Healthcare Biosciences) that previously had been washed once with calmodulin-binding buffer. After incubation, the beads were washed three times with 10 mL of calmodulin-binding buffer and eluted five times with 200 µL IPP150 calmodulin elution buffer (calmodulin-binding buffer substituted with 2 mM EGTA instead of CaCl2). Amicon Ultra-4 spin columns (Ambion) were used to concentrate eluates. Eluates were analyzed by SDS-PAGE and stained with silver using the Biorad Silver Stain Plus kit (Biorad, USA). We then cut specific bands and directly sent the gel slices to the Taplin Biological Mass Spectrometry Facility (Harvard Medical School, Boston, USA) for mass spectrometric analyses.

Co-immunoprecipitation

Cells were harvested from a 50 mL-culture (OD (660 nm) between 0.4–0.6) by centrifugation at 5000xg for 10 minutes. We washed the cell pellet in 10 mL of buffer I (50mM Tris-HCl (pH 7.5); 50 mM NaCl; 1mM EDTA), centrifuged the cell again and resuspended in 1 mL of buffer II (buffer I plus 0.5% n-dodecy-β-D-maltoside; 10 mM MgCl2; EDTA-free protease inhibitors). We incubated the mixture for 15 minutes with 5000 units of Ready-Lyse lysozyme (Epicentre), and 30 units of DNase I (Roche). Cellular debris were removed by centrifugation at 10,000xg for 3 minutes at 4°C. We cleared the supernatant by incubation for 1 hour at 4°C with Protein-A agarose beads (Roche) previously washed three times with 500 µL of buffer II. We removed agarose beads by centrifugation and added to the pre-cleared solution polyclonal IgG rabbit serum for 90 min at 4°C (dilution 1:500). Next, we trapped for 1 hour at 4°C the antibodies-proteins complexes with the addition of Protein-A agarose beads (Roche) previously washed three times with 500 µL of buffer II. The samples were then centrifuged at 3000xg for 1 minute at 4°C and the supernatant was removed. The beads were washed once with buffer I plus 0.5% n-dodecy-β-D-maltoside, three times with 500 µL of wash buffer (10 mM Tris-HCl at pH 7.5; 150 mM NaCl; 0.1% n-dodecy-β-D-maltoside) and finally resuspended in 70 µl SDS sample buffer (50 mM Tris–HCl at pH 6.8), 2% SDS, 10% glycerol, 1% β-mercaptoethanol, 12.5 mM EDTA, 0.02% Bromophenol Blue), heated to 95°C for 10 minutes and stored at −20°C.

Motility assays and phage infectivity tests

Swarming properties were assessed with 5 µl-drops of overnight culture spotted on PYE soft agar plates (0.3% agar) and grown for 24 hours. Phage susceptibility assays were conducted by mixing 500 µL of overnight culture in 6 mL soft PYE agar and overlaid on a PYE agar plate. Upon solidification of the soft (top) agar, we spotted 5 µL-drops of serial dilution of phages (φCbK or φCr30) and scored for plaques after one day incubation at 4°C.

Shearing experiments

We centrifuged 5 mL mid-log phase cultures of WT or mutant strains and resuspended them in 700 µl of PYE. Then, we pumped in and out (10x) the cells into a syringe endowed with a thin diameter needle. We centrifuged the shear-stressed cells to remove cells debris and collected 200 µL of each supernatant. We added SDS-blue straining and loaded samples on SDS-PAGE gels.

φCbK adsorption assay

To determine the adsorption rate of φCbK, Caulobacter crescentus NA1000 and derivatives were first grown overnight in M2G medium at 30°C and then re-started in fresh M2G at 30°C with shaking until the bacterial cell culture reached an OD660 value of 0.4 (0.4 × 108 CFU/ml). Then cell cultures were infected by 0.02 multiplicity of φCbK infection (MOI: ratio of phage to bacteria number). The mixtures were incubated at 30°C without shaking for phage adsorption, followed by separation of unbound phages by centrifugation at 13,000 rpm in specified time points up to 30 minutes. Supernatants were immediately supplemented by the addition of chloroform (1/20 of cell culture volume) and mixed vigorously to kill remaining bacterial cells. A control tube containing only φCbK (equivalent to 0.02 MOI) was maintained in parallel for the duration of the experiment and used as reference to control the initial phage plaque-forming units (pfu) titer. A 50 µL of the phage supernatant from each tube was mixed with 200 µL of Caulobacter crescentus NA1000 culture at log phase and incubated without shaking at room temperature for 10 minutes to allow adsorption. Infected cells were added to 6 mL of soft PYE agar (0.5%) and immediately overlaid on 1.5% PYE agar plates. Plates were incubated at 30°C for 24 hours, when pfu were visible. The φCbK adsorption value (in% of the initial phage pfu titer) was calculated. Values are the mean of three biological replicates; error bars represent data ranges.

Flow cytometry (Fluorescence-activated cell sorting, FACS)

Cells in exponential growth phase (OD660nm=0.3–0.6) cultivated in PYE, were fixed in ice-cold 77% ethanol solution. Fixed cells were re-suspended in FACS staining buffer, pH 7.2 (10 mM Tris-HCl, 1 mM EDTA, 50 mM NaCitrate, 0.01% Triton X-100) and then treated with RNase A (Roche) at 0.1 mg mL−1 for 30 minutes at room temperature. Cells were stained in FACS staining buffer containing 0.5 μM of SYTOX Green nucleic acid stain solution (Invitrogen) and then analysed using a BD Accuri C6 flow cytometer instrument (BD Biosciences). Flow cytometry data were acquired and analysed using the CFlow Plus V1.0.264.15 software (Accuri Cytometers Inc.). 20,000 cells were analysed from each biological sample. Experimental values represent the averages of three independent experiments.

fliGD306G swarming pseudo-revertant isolation and backcrossing

We spotted several 5 µL-drops of ∆zitP overnight culture on soft agar plates and waited for flares spreading out the bulk of cells. Flares were peaked out and streaked on fresh agar plates for amplification and subsequently challenged for motility in comparison to WT and ∆zitP strains. Motility-proficient clones were sent for Illumina HiSeQ 2000 sequencing (Fasteris, www.fasteris.com/). Genomes were compared to NA1000 genome and we identified a single mutation in the fliG gene (D306G).

In order to backcross the fliGD306G allele in different backgrounds, the suppressor strain was electrotransformed with the suicide vector pNTPS138-hook and selected on kanamycin-supplemented plates for single crossing-over in close vicinity of the fliG locus. We prepared lysate of this strain, transduced the fliGD306G-linked pNTPS138 into WT and ∆zitP cells and screen by sequencing for clones harbouring the fliGD306G allele. Finally, we grew up the strain without any antibiotic and selected for plasmid excision by plating an overnight culture on sucrose.

Acknowledgements

Funding support was from Swiss National Science Foundation grants to PHV, European Research Council Starting Grant 243016 to SM and Marie Curie Intra-European Fellowship PIEF-GA-2011-297918 to SH. We are grateful to Florian Gays for technical support with phage adsorption assays.

Funding Statement

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Funding Information

This paper was supported by the following grants:

  • Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 31003A_162716 to Patrick H Viollier.

  • European Research Council 243016 to Suliana Manley.

  • Marie Curie Intra-European Fellowship PIEF-GA-2011-297918 to Seamus Holden.

Additional information

Competing interests

The authors declare that no competing interests exist.

Author contributions

JM, Conception and design, Acquisition of data, Analysis and interpretation of data, Drafting or revising the article, Contributed unpublished essential data or reagents.

SH, Conception and design, Acquisition of data, Analysis and interpretation of data, Drafting or revising the article, Contributed unpublished essential data or reagents.

MB, Conception and design, Acquisition of data, Analysis and interpretation of data, Drafting or revising the article, Contributed unpublished essential data or reagents.

GP, Conception and design, Acquisition of data, Analysis and interpretation of data, Contributed unpublished essential data or reagents.

EE, Conception and design, Acquisition of data, Analysis and interpretation of data.

LT, Acquisition of data, Contributed unpublished essential data or reagents.

SM, Conception and design, Acquisition of data, Analysis and interpretation of data, Drafting or revising the article, Contributed unpublished essential data or reagents.

PHV, Drafting of the work, Acquisition, Analysis, Interpretation of data for the work, Conception and design, Acquisition of data, Analysis and interpretation of data, Drafting or revising the article, Contributed unpublished essential data or reagents.

Additional files

Supplementary file 1. Bacterial strains, plasmids and oligonucleotides list.

DOI: http://dx.doi.org/10.7554/eLife.18647.017

elife-18647-supp1.doc (316KB, doc)
DOI: 10.7554/eLife.18647.017

References

  1. Bergé M, Campagne S, Mignolet J, Holden SJ, Théraulaz L, Manley S, Allain FHT, Viollier PH. Modularity and determinants of a (bi-)polarization control system from free-living and obligate intracellular bacteria. eLife. 2016;5:e20640. doi: 10.7554/eLife.20640. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Betzig E, Patterson GH, Sougrat R, Lindwasser OW, Olenych S, Bonifacino JS, Davidson MW, Lippincott-Schwartz J, Hess HF. Imaging intracellular fluorescent proteins at nanometer resolution. Science. 2006;313:1642–1645. doi: 10.1126/science.1127344. [DOI] [PubMed] [Google Scholar]
  3. Boutte CC, Henry JT, Crosson S. Ppgpp and polyphosphate modulate cell cycle progression in Caulobacter crescentus. Journal of Bacteriology. 2012;194:28–35. doi: 10.1128/JB.05932-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Bowman GR, Comolli LR, Gaietta GM, Fero M, Hong SH, Jones Y, Lee JH, Downing KH, Ellisman MH, McAdams HH, Shapiro L. Caulobacter PopZ forms a polar subdomain dictating sequential changes in pole composition and function. Molecular Microbiology. 2010;76:173–189. doi: 10.1111/j.1365-2958.2010.07088.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Bowman GR, Comolli LR, Zhu J, Eckart M, Koenig M, Downing KH, Moerner WE, Earnest T, Shapiro L. A polymeric protein anchors the chromosomal origin/ParB complex at a bacterial cell pole. Cell. 2008;134:945–955. doi: 10.1016/j.cell.2008.07.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Boyd JM. Localization of the histidine kinase PilS to the poles of Pseudomonas aeruginosa and identification of a localization domain. Molecular Microbiology. 2000;36:153–162. doi: 10.1046/j.1365-2958.2000.01836.x. [DOI] [PubMed] [Google Scholar]
  7. Brilli M, Fondi M, Fani R, Mengoni A, Ferri L, Bazzicalupo M, Biondi EG. The diversity and evolution of cell cycle regulation in alpha-proteobacteria: a comparative genomic analysis. BMC Systems Biology. 2010;4:52. doi: 10.1186/1752-0509-4-52. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Chen JC, Viollier PH, Shapiro L. A membrane metalloprotease participates in the sequential degradation of a Caulobacter polarity determinant. Molecular Microbiology. 2005;55:1085–1103. doi: 10.1111/j.1365-2958.2004.04443.x. [DOI] [PubMed] [Google Scholar]
  9. Christen M, Beusch C, Bösch Y, Cerletti D, Flores-Tinoco CE, Del Medico L, Tschan F, Christen B. Quantitative Selection Analysis of Bacteriophage φCbK Susceptibility in Caulobacter crescentus. Journal of Molecular Biology. 2016;428 doi: 10.1016/j.jmb.2015.11.018. [DOI] [PubMed] [Google Scholar]
  10. Collier J, Murray SR, Shapiro L. DnaA couples DNA replication and the expression of two cell cycle master regulators. The EMBO Journal. 2006;25:346–356. doi: 10.1038/sj.emboj.7600927. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Commichau FM, Stülke J. Trigger enzymes: coordination of metabolism and virulence gene expression. Microbiology Spectrum. 2015;3 doi: 10.1128/microbiolspec.MBP-0010-2014. [DOI] [PubMed] [Google Scholar]
  12. Crocker JC, Grier DG. Methods of Digital Video Microscopy for Colloidal Studies. Journal of Colloid and Interface Science. 1996;179:298–310. doi: 10.1006/jcis.1996.0217. [DOI] [Google Scholar]
  13. Davis NJ, Cohen Y, Sanselicio S, Fumeaux C, Ozaki S, Luciano J, Guerrero-Ferreira RC, Wright ER, Jenal U, Viollier PH. De- and repolarization mechanism of flagellar morphogenesis during a bacterial cell cycle. Genes & Development. 2013;27:2049–2062. doi: 10.1101/gad.222679.113. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Deghelt M, Mullier C, Sternon JF, Francis N, Laloux G, Dotreppe D, Van der Henst C, Jacobs-Wagner C, Letesson JJ, De Bolle X. G1-arrested newborn cells are the predominant infectious form of the pathogen Brucella abortus. Nature Communications. 2014;5:4366. doi: 10.1038/ncomms5366. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Domian IJ, Quon KC, Shapiro L. Cell type-specific phosphorylation and proteolysis of a transcriptional regulator controls the G1-to-S transition in a bacterial cell cycle. Cell. 1997;90:415–424. doi: 10.1016/S0092-8674(00)80502-4. [DOI] [PubMed] [Google Scholar]
  16. Dworkin J. Cellular polarity in prokaryotic organisms. Cold Spring Harbor Perspectives in Biology. 2009;1:a003368. doi: 10.1101/cshperspect.a003368. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Ebersbach G, Briegel A, Jensen GJ, Jacobs-Wagner C. A self-associating protein critical for chromosome attachment, division, and polar organization in caulobacter. Cell. 2008;134:956–968. doi: 10.1016/j.cell.2008.07.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Edwards P, Smit J. A transducing bacteriophage for Caulobacter crescentus uses the paracrystalline surface layer protein as a receptor. Journal of Bacteriology. 1991;173:5568–5572. doi: 10.1128/jb.173.17.5568-5572.1991. [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Ely B. Methods in Enzymology, Vol. 204. 1991. Genetics of Caulobacter crescentus; pp. 372–384. [DOI] [PubMed] [Google Scholar]
  20. Endesfelder U, Finan K, Holden SJ, Cook PR, Kapanidis AN, Heilemann M. Multiscale spatial organization of RNA polymerase in Escherichia coli. Biophysical Journal. 2013;105:172–181. doi: 10.1016/j.bpj.2013.05.048. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. Ester M, Hans-Peter K, Sander J, Xu X. A density-based algorithm for discovering clusters in large spatial databases with noise. Kdd. 1996;96:226–231. doi: 10.1023/A:1009745219419. [DOI] [Google Scholar]
  22. Fiebig A, Herrou J, Fumeaux C, Radhakrishnan SK, Viollier PH, Crosson S. A cell cycle and nutritional checkpoint controlling bacterial surface adhesion. PLoS Genetics. 2014;10:e1004101. doi: 10.1371/journal.pgen.1004101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Fioravanti A, Fumeaux C, Mohapatra SS, Bompard C, Brilli M, Frandi A, Castric V, Villeret V, Viollier PH, Biondi EG. DNA binding of the cell cycle transcriptional regulator GcrA depends on N6-adenosine methylation in Caulobacter crescentus and other Alphaproteobacteria. PLoS Genetics. 2013;9:e1003541. doi: 10.1371/journal.pgen.1003541. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. Fumeaux C, Radhakrishnan SK, Ardissone S, Théraulaz L, Frandi A, Martins D, Nesper J, Abel S, Jenal U, Viollier PH. Cell cycle transition from S-phase to G1 in Caulobacter is mediated by ancestral virulence regulators. Nature Communications. 2014;5:4081. doi: 10.1038/ncomms5081. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. Gebhardt JC, Suter DM, Roy R, Zhao ZW, Chapman AR, Basu S, Maniatis T, Xie XS. Single-molecule imaging of transcription factor binding to DNA in live mammalian cells. Nature Methods. 2013;10:421–426. doi: 10.1038/nmeth.2411. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Gonzalez D, Collier J. Effects of (p)ppGpp on the Progression of the Cell Cycle of Caulobacter crescentus. Journal of Bacteriology. 2014;196:2514–2525. doi: 10.1128/JB.01575-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Grangeon R, Zupan JR, Anderson-Furgeson J, Zambryski PC. PopZ identifies the new pole, and PodJ identifies the old pole during polar growth in Agrobacterium tumefaciens. PNAS. 2015;112:11666–11671. doi: 10.1073/pnas.1515544112. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Guerrero-Ferreira RC, Viollier PH, Ely B, Poindexter JS, Georgieva M, Jensen GJ, Wright ER. Alternative mechanism for bacteriophage adsorption to the motile bacterium Caulobacter crescentus. PNAS. 2011;108:9963–9968. doi: 10.1073/pnas.1012388108. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Holden SJ, Pengo T, Meibom KL, Fernandez Fernandez C, Collier J, Manley S. High throughput 3D super-resolution microscopy reveals Caulobacter crescentus in vivo Z-ring organization. PNAS. 2014;111:4566–4571. doi: 10.1073/pnas.1313368111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Holmes JA, Follett SE, Wang H, Meadows CP, Varga K, Bowman GR. Caulobacter PopZ forms an intrinsically disordered hub in organizing bacterial cell poles. PNAS. 2016;113:12490–12495. doi: 10.1073/pnas.1602380113. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Holtzendorff J, Hung D, Brende P, Reisenauer A, Viollier PH, McAdams HH, Shapiro L. Oscillating global regulators control the genetic circuit driving a bacterial cell cycle. Science. 2004;304:983–987. doi: 10.1126/science.1095191. [DOI] [PubMed] [Google Scholar]
  32. Hughes HV, Huitema E, Pritchard S, Keiler KC, Brun YV, Viollier PH. Protein localization and dynamics within a bacterial organelle. PNAS. 2010;107:5599–5604. doi: 10.1073/pnas.0909119107. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Huitema E, Pritchard S, Matteson D, Radhakrishnan SK, Viollier PH. Bacterial birth scar proteins mark future flagellum assembly site. Cell. 2006;124:1025–1037. doi: 10.1016/j.cell.2006.01.019. [DOI] [PubMed] [Google Scholar]
  34. Janakiraman B, Mignolet J, Narayanan S, Viollier PH, Radhakrishnan SK. In-phase oscillation of global regulons is orchestrated by a pole-specific organizer. PNAS. 2016;113 doi: 10.1073/pnas.1610723113. [DOI] [PMC free article] [PubMed] [Google Scholar]
  35. Kazmierczak BI, Lebron MB, Murray TS. Analysis of FimX, a phosphodiesterase that governs twitching motility in Pseudomonas aeruginosa. Molecular Microbiology. 2006;60:1026–1043. doi: 10.1111/j.1365-2958.2006.05156.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Kojima S, Blair DF. The bacterial flagellar motor: structure and function of a complex molecular machine. International Review of Cytology. 2004;233:93–134. doi: 10.1016/S0074-7696(04)33003-2. [DOI] [PubMed] [Google Scholar]
  37. Laloux G, Jacobs-Wagner C. Spatiotemporal control of PopZ localization through cell cycle–coupled multimerization. The Journal of Cell Biology. 2013;201:827–841. doi: 10.1083/jcb.201303036. [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Lesley JA, Shapiro L. Spot regulates DnaA stability and initiation of DNA replication in carbon-starved Caulobacter crescentus. Journal of Bacteriology. 2008;190:6867–6880. doi: 10.1128/JB.00700-08. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Macnab RM. How Bacteria assemble Flagella. Annual Review of Microbiology. 2003;57:77–100. doi: 10.1146/annurev.micro.57.030502.090832. [DOI] [PubMed] [Google Scholar]
  40. Manley S, Gillette JM, Patterson GH, Shroff H, Hess HF, Betzig E, Lippincott-Schwartz J. High-density mapping of single-molecule trajectories with photoactivated localization microscopy. Nature Methods. 2008;5:155–157. doi: 10.1038/nmeth.1176. [DOI] [PubMed] [Google Scholar]
  41. Marks ME, Castro-Rojas CM, Teiling C, Du L, Kapatral V, Walunas TL, Crosson S. The genetic basis of laboratory adaptation in Caulobacter crescentus. Journal of Bacteriology. 2010;192:3678–3688. doi: 10.1128/JB.00255-10. [DOI] [PMC free article] [PubMed] [Google Scholar]
  42. Martin AC, Goldstein B. Apical constriction: themes and variations on a cellular mechanism driving morphogenesis. Development. 2014;141:1987–1998. doi: 10.1242/dev.102228. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Martin SG, Berthelot-Grosjean M. Polar gradients of the Dyrk-family kinase Pom1 couple cell length with the cell cycle. Nature. 2009;459:852–856. doi: 10.1038/nature08054. [DOI] [PubMed] [Google Scholar]
  44. McGrath PT, Iniesta AA, Ryan KR, Shapiro L, McAdams HH. A dynamically localized protease complex and a polar specificity factor control a cell cycle master regulator. Cell. 2006;124:535–547. doi: 10.1016/j.cell.2005.12.033. [DOI] [PubMed] [Google Scholar]
  45. McGrath PT, Lee H, Zhang L, Iniesta AA, Hottes AK, Tan MH, Hillson NJ, Hu P, Shapiro L, McAdams HH. High-throughput identification of transcription start sites, conserved promoter motifs and predicted regulons. Nature Biotechnology. 2007;25:584–592. doi: 10.1038/nbt1294. [DOI] [PubMed] [Google Scholar]
  46. Murray SM, Panis G, Fumeaux C, Viollier PH, Howard M. Computational and genetic reduction of a cell cycle to its simplest, primordial components. PLoS Biology. 2013;11:e1001749. doi: 10.1371/journal.pbio.1001749. [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Nan B, Mauriello EMF, Sun I-H, Wong A, Zusman DR. A multi-protein complex from Myxococcus xanthus required for bacterial gliding motility. Molecular Microbiology. 2010;76:1539–1554. doi: 10.1111/j.1365-2958.2010.07184.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Panis G, Murray SR, Viollier PH. Versatility of global transcriptional regulators in alpha-Proteobacteria: from essential cell cycle control to ancillary functions. FEMS Microbiology Reviews. 2015;39:120–133. doi: 10.1093/femsre/fuu002. [DOI] [PubMed] [Google Scholar]
  49. Puig O, Caspary F, Rigaut G, Rutz B, Bouveret E, Bragado-Nilsson E, Wilm M, Séraphin B. The tandem affinity purification (TAP) method: a general procedure of protein complex purification. Methods. 2001;24:218–229. doi: 10.1006/meth.2001.1183. [DOI] [PubMed] [Google Scholar]
  50. Quon KC, Marczynski GT, Shapiro L. Cell cycle control by an essential bacterial two-component signal transduction protein. Cell. 1996;84:83–93. doi: 10.1016/S0092-8674(00)80995-2. [DOI] [PubMed] [Google Scholar]
  51. Radhakrishnan SK, Thanbichler M, Viollier PH. The dynamic interplay between a cell fate determinant and a lysozyme homolog drives the asymmetric division cycle of Caulobacter crescentus. Genes & Development. 2008;22:212–225. doi: 10.1101/gad.1601808. [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Radhakrishnan SK, Viollier P. Two-in-one: bifunctional regulators synchronizing developmental events in bacteria. Trends in Cell Biology. 2012;22:14–21. doi: 10.1016/j.tcb.2011.09.004. [DOI] [PubMed] [Google Scholar]
  53. Ronneau S, Petit K, De Bolle, Hallez R. Phosphotransferase-dependent accumulation of (p)ppGpp in response to glutamine deprivation in Caulobacter crescentus. Nature Communications. 2016;7:11423. doi: 10.1038/ncomms11423. [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Sanselicio S, Bergé M, Théraulaz L, Radhakrishnan SK, Viollier PH. Topological control of the Caulobacter cell cycle circuitry by a polarized single-domain PAS protein. Nature Communications. 2015;6 doi: 10.1038/ncomms8005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Sanselicio S, Viollier PH. Convergence of alarmone and cell cycle signaling from trans -encoded sensory domains. mBio. 2015;6:e01415–01415. doi: 10.1128/mBio.01415-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Shapiro L. Generating and exploiting polarity in bacteria. Science. 2002;298:1942–1946. doi: 10.1126/science.1072163. [DOI] [PubMed] [Google Scholar]
  57. Simon R, Priefer U, Pühler A. A broad host range mobilization system for in vivo genetic engineering: transposon mutagenesis in gram negative bacteria. Bio/Technology. 1983;1:784–791. doi: 10.1038/nbt1183-784. [DOI] [Google Scholar]
  58. Skerker JM. Identification and cell cycle control of a novel pilus system in Caulobacter crescentus. The EMBO Journal. 2000;19:3223–3234. doi: 10.1093/emboj/19.13.3223. [DOI] [PMC free article] [PubMed] [Google Scholar]
  59. St Johnston D, Ahringer J. Cell polarity in eggs and epithelia: parallels and diversity. Cell. 2010;141:757–774. doi: 10.1016/j.cell.2010.05.011. [DOI] [PubMed] [Google Scholar]
  60. Tatebe H, Nakano K, Maximo R, Shiozaki K. Pom1 DYRK regulates localization of the Rga4 GAP to ensure bipolar activation of Cdc42 in fission yeast. Current Biology. 2008;18:322–330. doi: 10.1016/j.cub.2008.02.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  61. Treuner-Lange A, Søgaard-Andersen L. Regulation of cell polarity in bacteria. The Journal of Cell Biology. 2014;206:7–17. doi: 10.1083/jcb.201403136. [DOI] [PMC free article] [PubMed] [Google Scholar]
  62. Tsokos CG, Laub MT. Polarity and cell fate asymmetry in Caulobacter crescentus. Current Opinion in Microbiology. 2012;15:744–750. doi: 10.1016/j.mib.2012.10.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  63. Viollier PH, Shapiro L. A lytic transglycosylase homologue, PleA, is required for the assembly of pili and the flagellum at the Caulobacter crescentus cell pole. Molecular Microbiology. 2003;49:331–345. doi: 10.1046/j.1365-2958.2003.03576.x. [DOI] [PubMed] [Google Scholar]
  64. Viollier PH, Sternheim N, Shapiro L. A dynamically localized histidine kinase controls the asymmetric distribution of polar pili proteins. The EMBO Journal. 2002a;21:4420–4428. doi: 10.1093/emboj/cdf454. [DOI] [PMC free article] [PubMed] [Google Scholar]
  65. Viollier PH, Sternheim N, Shapiro L. Identification of a localization factor for the polar positioning of bacterial structural and regulatory proteins. PNAS. 2002b;99:13831–13836. doi: 10.1073/pnas.182411999. [DOI] [PMC free article] [PubMed] [Google Scholar]
  66. Viollier PH, Thanbichler M, McGrath PT, West L, Meewan M, McAdams HH, Shapiro L. Rapid and sequential movement of individual chromosomal loci to specific subcellular locations during bacterial DNA replication. PNAS. 2004;101:9257–9262. doi: 10.1073/pnas.0402606101. [DOI] [PMC free article] [PubMed] [Google Scholar]
eLife. 2016 Dec 23;5:e18647. doi: 10.7554/eLife.18647.018

Decision letter

Editor: Tâm Mignot1

In the interests of transparency, eLife includes the editorial decision letter and accompanying author responses. A lightly edited version of the letter sent to the authors after peer review is shown, indicating the most substantive concerns; minor comments are not usually included.

Thank you for submitting your article "Functional dichotomy, distinct nanoscale assemblies and cell cycle control of a bipolar zinc-finger regulator" for consideration by eLife. Your article has been reviewed by three peer reviewers, and the evaluation has been overseen by a Reviewing Editor and Vivek Malhotra as the Senior Editor. One expert involved in review of your submission, Jan Willem Veening (Reviewer #1), has agreed to reveal his identity.

The reviewers have discussed the reviews with one another and the Reviewing Editor has drafted this decision to help you prepare a revised submission.

Mignolet and co-workers show, using a combination of genetics, biochemistry and super resolution microscopy techniques, how a protein (ZitP) can perform two distinct biological functions at each end of the cell pole. They discover a distinct assembly of ZitP, only visible by nanoscopy, at each end of the Caulobacter pole, the stalked end and the piliated end. Compelling evidence is provided that this distinct assembly of ZitP recognizes specific other proteins and in that way control pilus biogenesis and swarming motility. Finally, it is shown that ZitP is hard-wired in the cell cycle and is not produced in the G1 to S phase. All reviewers found interest in the study but they compiled a list of necessary improvements before the paper can be published.

Essential revisions:

1) In this version, the paper is extremely compact making it difficult to follow the logical flow for the non-Caulobacter expert. The take-home message itself is difficult to extract due to the lack of background and numerous different messages. We believe that the important finding here is the description of a novel class of potentially widespread polarity regulators.

To improve clarity, the authors should use more space, separate figures and reduce the emphasis on the cell cycle itself (one figure could be specifically dedicated to the cycle) and add more knowledge about polarity control in bacteria. The predicted structure of ZitP itself is quickly glossed over. Why was it even called ZitP? The authors mention the presence of a Zinc atom in ZitP but what is the evidence supporting this? Please provide a complete bioinformatics view of ZitP and homologs in other procaryotes (and beyond?). The other key players should also be described for understanding by a generalist audience, the pilus assembly pathway, CpaC, CpaC*, PopZ etc…

2) The PALM analysis is not used to its optimum to show that ZitP is part of two distinct nanoscale assemblies. Further quantitative analysis should improve the description of the clusters and the difference in popZ mutant cells. How many molecules, are the shapes significantly different (the stats indicate so but the graphs are not that convincing), can they be further resolved? The single particle PALM analysis needs to be better explained, it is not clear whether the binding times are similar at both poles in WT and why the longer dwelling times were ignored in the fit shown in the Figure 2—figure supplement 2?

3) The genetic data showing that function of ZitP can be uncoupled is clear and interesting. How Zitp affects pilus assembly is well documented with the identification of an interaction with CpaM (but how CpaM fits in the assembly pathway could be clarified by better presentation of the assembly pathway). On the other hand, how Zitp affects swarming and how this is linked with differential localization is not clear, especially because the Caulobacter flagellum does not localize to the stalk pole. How is swimming affected in the ZitP swarm- mutant? The authors suggest that the swarming defect could be due to the lower number of G1 cells. Is ZitP involved in cell cycle regulation, how?

4) In the final cartoon, again what is the evidence that ZitP binds Zinc and that it adopts open and closed conformation? Why is the closed conformation shown to bind popZ at both poles? Is there experimental data to support this proposal? What is the localization of the ZitP-GAP mutant? Overall the ZitP mutants and the expected changes linked to function need to be better described.

eLife. 2016 Dec 23;5:e18647. doi: 10.7554/eLife.18647.019

Author response


[…]

Essential revisions:

1) In this version, the paper is extremely compact making it difficult to follow the logical flow for the non-Caulobacter expert. The take-home message itself is difficult to extract due to the lack of background and numerous different messages. We believe that the important finding here is the description of a novel class of potentially widespread polarity regulators.

To improve clarity, the authors should use more space, separate figures and reduce the emphasis on the cell cycle itself (one figure could be specifically dedicated to the cycle) and add more knowledge about polarity control in bacteria. The predicted structure of ZitP itself is quickly glossed over. Why was it even called ZitP? The authors mention the presence of a Zinc atom in ZitP but what is the evidence supporting this? Please provide a complete bioinformatics view of ZitP and homologs in other procaryotes (and beyond?). The other key players should also be described for understanding by a generalist audience, the pilus assembly pathway, CpaC, CpaC*, PopZ etc.

We are grateful to the reviewing editor as well as the reviewers for the constructive recommendations on how to improve clarity and comprehensiveness in our manuscript. The enclosed version is now substantially reorganized and augmented with new experiments that reveal new insight on the action of ZitP controlling CtrA-activated (cell cycle regulated) promoters via CpaM. Moreover, we used genetic pseudoreversion analysis to correct this defect in CtrA activity and to reveal another role of ZitP on motility, clearly establishing its multifunctional nature (Figure 2).

We also detail a new mutation, ZitP1-133, that has the opposite effect than the previously described ZitP(CS) mutation in that it affects pilus biogenesis and CtrA activity via CpaM, but not motility. We restructured figures according to the text flow and by theme: Figure 1 – bioinformatics and primary structures, Figure 2 – function, Figure 3 – localization and Figure 4 – cell cycle control. Finally, we bolstered Figure 1 with a phylogenetic tree to show ZitP, as well as CpaM, conservation across α-proteobacteria (Figure 1D).

Indeed, this manuscript does not provide direct evidence that ZitP (zinc-finger targeting the poles) coordinates a zinc ion. However, in complementary study (Bergé et al., submitted to eLife, 2016) we determined the structure –function analyses and resolved the tertiary structure of the zinc-coordination module by liquid state NMR. Thus, ZitP does indeed bind a zinc ion through the four conserved cysteine residues. The revised version that we submit here now refers extensively to this complementary data in the Discussion.

2) The PALM analysis is not used to its optimum to show that ZitP is part of two distinct nanoscale assemblies. Further quantitative analysis should improve the description of the clusters and the difference in popZ mutant cells. How many molecules, are the shapes significantly different (the stats indicate so but the graphs are not that convincing), can they be further resolved?

In response to the comment on the graphs not being convincing, our understanding of this comment is that a clear difference is not visible between the poles in the images of ZitP localization presented in the old Figure 2C. We additionally 1) provide multiple zoomed in representative example images of polar foci, showing the visible differences in shape and size (new Figure 3A, 3B and Figure 3—figure supplement 2A, 2B, 2C and 5C). The zoomed in figures show clearly visible differences in ZitP cluster shape between WT stalked pole, WT swarmer pole, and the poles of △popZ cells.

In new Figure 3D, the cluster area plot shows a visible and statistically significant difference in ZitP cluster area between the swarmer and stalked poles as supported by the highly significant difference observed (p < 10-8). For additional clarity, we have re-plotted the data as a violin plot and moved the “both WT poles” comparison and the “zero-area” comparison to Figure 3—figure supplement 5D. We note that the statistical test we applied is a very conservative non-parametric test (Mood’s median test), so such a high statistical significance is particularly strong evidence that the difference is genuine.

We performed additional quantitative analysis of the PALM data to confirm the observed difference in ZitP swarmer/stalk polar assemblies: we analysed the cluster shape (circularity, solidity, eccentricity) in addition to the current measurement of area (Figure 3—figure supplement 5C), and additional discussion (in Materials and methods). The additional quantitative shape-based analysis confirms with high significance the previously observed difference between ZitP assemblies at stalked and swarmer poles in WT.

We did not perform molecular counting or stoichiometry analysis on these data because Dendra2-ZitP was expressed from an inducible plasmid, meaning that molecule counts at each pole will not be an accurate reporter of absolute wild type levels of ZitP, and stoichiometry analysis will be unreliable due to cell-cell variation as cells are alive and constantly turn-over molecules during data acquisition. Since such data would be unreliable and difficult to interpret, we focussed on shape-based cluster analysis described above.

The single particle PALM analysis needs to be better explained, it is not clear whether the binding times are similar at both poles in WT and why the longer dwelling times were ignored in the fit shown in the Figure 2—figure supplement 2?

The reviewers highlighted an important issue with the binding time analysis – using the previously published approach it was necessary to ignore longer strobe intervals in order to get reasonable fits to the data. In the previous submitted manuscript version we hypothesized that this was a measurement artefact – essentially, at long time-lapse intervals, molecules will almost always have unbound within a single frame of observation (‘saturation’). In this case it becomes impossible to accurately measure unbinding time, hence the artefactual flat line trend. However, we did not prove this hypothesis, and we agree that the manual exclusion of late datapoints is very unsatisfying. We thank the reviewer for their recommendation to pursue this issue further.

We first confirmed by simulation that the cause of the long-time-lapse artefact was indeed saturation (Materials and methods, Figure 3—figure supplement 6). We completely revised and updated the analysis method SPT PALM to account for this issue (Materials and methods, Figure 3—figure supplement 6), and with our updated method were able to obtain robust fits to the entire dataset (Figure 3E and Figure 3—figure supplement 6D). This not only improves our analysis of ZitP binding time, but significantly improves the robustness of the stroboscopic SPT PALM method as a general tool.

At the reviewer’s suggestion, we attempted to perform analysis of the binding time for the WT swarmer and WT stalked poles separately. However, it was not possible to identify sufficient clearly distinguishable stalked or swarmer poles in the collected data to perform a statistically robust analysis. This is because insufficient localizations of individual molecules could be collected for the binding time analysis on a per-pole basis due to the long frame intervals (seconds) required, and thus the difficulty of knowing which pole is which when examining a few single molecules for a long period. By contrast for the shape-based analysis, many localizations for separate poles could be acquired due to the high frame rate (15ms).

Although the per-pole binding time analysis was not possible, the visually observed morphological differences in WT swarmer/ WT stalk/ δ-PopZ polar assemblies (Figure 3A and 3B, Figure 3—figure supplement 2), supported by quantitative shape based analysis (Figure 3—figure supplement 5C), together with the biological evidences (different intrinsic and extrinsic polar determinants) already provide strong evidence for distinct ZitP polar assemblies.

3) The genetic data showing that function of ZitP can be uncoupled is clear and interesting. How Zitp affects pilus assembly is well documented with the identification of an interaction with CpaM (but how CpaM fits in the assembly pathway could be clarified by better presentation of the assembly pathway). On the other hand, how Zitp affects swarming and how this is linked with differential localization is not clear, especially because the Caulobacter flagellum does not localize to the stalk pole. How is swimming affected in the ZitP swarm- mutant? The authors suggest that the swarming defect could be due to the lower number of G1 cells. Is ZitP involved in cell cycle regulation, how?

As requested, we elaborated on what is known about the Caulobacter pilus assembly (Cpa) pathway in the Introduction and we included a corresponding scheme (Figure 1B) to summarize the specific role of ZitP/CpaM. We also significantly enriched the manuscript with data and discussion about the multifactorial (indirect) effects of ZitP on motility. In Caulobacter, motility is a multi-step and coordinated process that relies on direct (flagellum biogenesis, chemotaxis) and indirect (cytokinesis, DNA replication/segregation, polarity and cell cycle) events. We now show that the motility can be restored by compensatory mutations in the flagellar motor, suggesting that flagellar performance, reversal or length of flagellation in the cell cycle is altered. Indeed we observed a decrease in CtrA- (but not GcrA-)dependent promoters in △zitP cells versus WT(Figure 2—figure supplement 1), a defect that is also seen in △cpaM cells. However, as △cpaM cells only exhibit a mild motility defect compared to △zitP cells (Figure 2F), the reduced CtrA-dependent transcription only contributes in minor fashion to motility. Indeed, when the CtrA-defect in △zitP is corrected by ectopic expression of (p)ppGpp, motility is mildly improved but still clearly discernible (Figure 2—figure supplement 2). We reason that there is another unknown role of ZitP to motility and that this could involve by the role of ZitP in regulating the localization of the polar matrix protein PopZ as described in the companion paper (Bergé et al., submitted to eLife, 2016). Alternatively, ZitP may regulate another pathway, directly or indirectly, that remains to be identified.

4) In the final cartoon, again what is the evidence that ZitP binds Zinc and that it adopts open and closed conformation? Why is the closed conformation shown to bind popZ at both poles? Is there experimental data to support this proposal? What is the localization of the ZitP-GAP mutant? Overall the ZitP mutants and the expected changes linked to function need to be better described.

In (Bergé et al., submitted to eLife, 2016) we showed that ZitP coordinates a zinc ion via the four cysteines of the zinc-finger domain. ZitPCS does not localize at the stalked pole, while PopZ recruits ZitP at the same location, meaning that zinc binding and PopZ are the intrinsic and extrinsic determinants for ZitP stalked pole-accumulation, respectively. We localized ZitP (or CpaM) in all polar factor mutants inventoried in Caulobacter (unpublished data) but we did not find the extrinsic determinant that targets ZitP (and so CpaM) to the swarmer pole. Hence, we cannot rule out the possibility that PopZ also recruits ZitP at the swarmer pole in native conditions and we revised our model, including a question mark close to ZitP(Zn2+) at the swarmer pole (Figure 4E). In wild-type cells, it would be unlikely that the ZitP(no Zn2+) form is recruited at the stalked pole. Indeed, in such a case, ZitPCS and CpaM should be present at the stalked pole as well.

We included experimental data concerning the ZitPGAP localization. Considering that this variant still interacts with and recruits CpaM at the swarmer pole, ZitPGAP is consistently still located at both poles. However, ZitPGAP does not restore phage sensitivity, suggesting that CpaM localization is necessary but not sufficient for pilus biogenesis and that ZitP has an extra role, possibly through CpaM activation.

Associated Data

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

    Supplementary Materials

    Supplementary file 1. Bacterial strains, plasmids and oligonucleotides list.

    DOI: http://dx.doi.org/10.7554/eLife.18647.017

    elife-18647-supp1.doc (316KB, doc)
    DOI: 10.7554/eLife.18647.017

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