Abstract
Elongation growth in actinobacteria is localized at the cell poles. This is in contrast to many classical model organisms where insertion of new cell wall material is localized around the lateral site. We previously described a role of RodA from Corynebacterium glutamicum in apical cell growth and morphogenesis. Deletion of rodA had drastic effects on morphology and growth, likely a result from misregulation of penicillin-binding proteins and cell wall precursor delivery. We identified the interaction of RodA with the polar scaffold protein DivIVA, thus explaining subcellular localization of RodA to the cell poles. In this study, we describe this interaction in detail and map the interaction sites of DivIVA and RodA. A single amino acid residue in the N-terminal domain of DivIVA was found to be crucial for the interaction with RodA. The interaction site of RodA was mapped to its cytoplasmic, C-terminal domain, in a region encompassing the last 10 amino acids (AAs). Deletion of these 10 AAs significantly decreased the interaction efficiency with DivIVA. Our results corroborate the interaction of DivIVA and RodA, underscoring the important role of DivIVA as a spatial organizer of the elongation machinery in Corynebacterineae.
Keywords: DivIVA, RodA, Corynebacterium glutamicum, protein–protein interactions, polar cell growth, FRET
INTRODUCTION
Corynebacterium glutamicum is a fast growing, facultative anaerobic, Gram positive Actinobacterium with high industrial importance in the production of amino acids (AAs; Ikeda and Nakagawa, 2003). For this purpose, fast growth rates and high cell densities are two major properties to ensure efficient production rates. Furthermore, C. glutamicum gained medical interest due to its mycobacteria-like cell wall and its phylogenetic relation to notorious pathogens such as C. diphtheriae, Mycobacterium tuberculosis, and M. leprae (Barh et al., 2011; Cayabyab et al., 2012). Members of the genus Corynebacterium are abundant species on the human skin and airways microbiome (Cowling and Hall, 1993; Zeeuwen et al., 2013). C. glutamicum and all other actinobacteria grow apically by insertion of new cell wall material at the cell poles (Locci and Schaal, 1980; Brown et al., 2011; Donovan and Bramkamp, 2014). Spatial localization of the cell wall machinery is governed by a coiled-coil protein, DivIVA (Letek et al., 2008; Sieger et al., 2013). This is in remarkable contrast to rod-shaped bacteria from other phyla such as firmicutes or proteobacteria. In these organisms a MreBCD-based cell wall synthetic machinery is acting along the lateral sites of the cell (Jones et al., 2001; Kruse et al., 2005). The processive enzymes, e.g. penicillin-binding proteins are, however, ubiquitous (Popham and Young, 2003). Furthermore, membrane integral proteins of the SEDS family are found in every cell wall synthetic cluster (Henriques et al., 1998; Pastoret et al., 2004). It is believed that an FtsW homolog is associated with septal cell wall synthesis, while RodA homologs are part of the elongation machinery (Pastoret et al., 2004; Real et al., 2008; Sieger et al., 2013). FtsW and RodA are associated with flipping the cell wall precursor lipid II (Ikeda and Nakagawa, 2003; Noirclerc-Savoye et al., 2003; Mohammadi et al., 2011). A new candidate for lipid II flipping, MurJ, has recently been described (Sham et al., 2014). Maybe, both enzymes may confer translocation of lipid II. However, based on earlier studies with rodA deletion mutants in C. glutamicum, it became evident that lack of RodA may also influence activity of the cognitive penicillin-binding proteins (Sieger et al., 2013).
In a previous study we identified RodA as being essential for growth and determination of cell shape (Sieger et al., 2013). DivIVA is frequently present in Gram positive species and generally composed of a highly conserved N-terminal domain, followed by two coiled-coil domains (Letek et al., 2009; Figures 1A,B). The N-terminal domain is involved in membrane attachment via exposed phenylalanine residues, positioned at the tip of intertwined loops as revealed by the crystal structure of the Bacillus subtilis DivIVA (Oliva et al., 2010). The coiled-coil domains are required for oligomerization and scaffold formation (Stahlberg et al., 2004; Lenarcic et al., 2009). DivIVA proteins lack an enzymatic function and polymerize into large oligomers in a nucleotide independent fashion (Muchova et al., 2002).
In the past decade several interaction partners of DivIVA have been identified. B. subtilis DivIVA anchors the Min system via MinJ to the cell poles, thus contributing to division site selection (Bramkamp et al., 2008; Patrick and Kearns, 2008). In addition, DivIVA interacts with RacA to attach the DNA to the prespore pole during B. subtilis sporulation (Ben-Yehuda et al., 2003; Wu and Errington, 2003). Further interaction partners are the division inhibitor Maf in competent B. subtilis cells (Briley et al., 2011), the transcriptional regulator ComN during promotion of natural competence (dos Santos et al., 2012) and SpoIIE for asymmetric division during sporulation (Eswaramoorthy et al., 2014). Only recently, it was demonstrated how MinJ and RacA of B. subtilis bind to separate domains of DivIVA (van Baarle et al., 2013). RacA interacts with the 11 C-terminal AAs of DivIVA, whereas MinJ binds to the N-terminal lipid binding domain. Although many more interaction partners of DivIVA have been identified in several organisms, as reviewed by (Lin and Thanbichler, 2013; Laloux and Jacobs-Wagner, 2014), little is known about their interaction sites involved in protein–protein interaction.
Here we describe the identification of the RodA–DivIVA interaction sites, thereby corroborating earlier results that suggested an interaction of C. glutamicum DivIVA and RodA (Sieger et al., 2013). Mutational analysis and subsequent interaction studies using a Förster-Resonance Energy Transfer (FRET)-based assay reveals that DivIVA interacts with the C-terminal domain of RodA. The N-terminal domain, which is supposed to play a role in membrane association, is crucial for the interaction with RodA. The molecular mechanism seems to include electrostatic interactions, since a positive charge in DivIVA is essential for full protein–protein interaction.
EXPERIMENTAL PROCEDURES
GENERAL CLONING TECHNIQUES
General cloning was performed as described before (Sieger et al., 2013). Oligonucleotides were obtained from Sigma Aldrich and are listed in Table S1. Plasmids generated in this study are listed in Table 1. C. glutamicum strains are listed in Table 2. Escherichia coli strains that were transformed with the plasmids from Table 1 for cloning and protein expression are not listed separately. Point mutants of DivIVA were generated via overlapping PCR using oligonucleotides carrying the desired point mutation. E. coli was grown in Luria Broth supplemented with 100 mg ml-1 carbenicillin (pETDuet-1) or 50 mg ml-1 kanamycin (pEKEX2). C. glutamicum was grown in Brain Heart Infusion (BHI; Oxoid) supplemented with 25 mg ml-1 kanamycin (pEKEX2). Protein expression was induced with 0.1 mM IPTG.
Table 1.
No | Name | Description | Reference |
---|---|---|---|
pETDuet-1 | |||
EX001 | pETDuet-1 | bla, PT7lacI-, PT7lacI- | Novagen |
BS001 | Duet CFP | bla, PT7lacI-eCFP, PT7lacI- | Sieger et al. (2013) |
BS002 | Duet YFP | bla, PT7lacI-, PT7lacI-eYFP | Sieger et al. (2013) |
BS003 | Duet CFP YFP | bla, PT7lacI-eCFP, PT7lacI-eYFP | Sieger et al. (2013) |
BS004 | Duet DivIVA-YFP | bla, PT7lacI-, PT7lacI-divIVA-eYFP | Sieger et al. (2013) |
BS005 | Duet RodA-CFP | bla, PT7lacI-rodA-eCFP, PT7lacI- | Sieger et al. (2013) |
BS006 | Duet FtsW-CFP | bla, PT7lacI-ftsW-eCFP, PT7lacI- | Sieger et al. (2013) |
BS007 | Duet RodA-CFP DivIVA-YFP | bla, PT7lacI-rodA-eCFP, PT7lacI-divIVA-eYFP | Sieger et al. (2013) |
BS008 | Duet FtsW-CFP DivIVA-YFP | bla, PT7lacI-ftsW-eCFP, PT7lacI-divIVA-eYFP | Sieger et al. (2013) |
BS025 | Duet RodAΔC10-CFP | bla, PT7lacI-rodAΔC10-eCFP PT7lacI- | This study |
BS026 | Duet RodAΔC80-CFP | bla, PT7lacI-rodAΔC80-eCFP, PT7lacI- | This study |
BS027 | Duet RodA1/2-CFP | bla, PT7lacI-rodA1/2-eCFP, PT7lacI- | This study |
BS028 | Duet RodA2/2-CFP | bla, PT7lacI-rodA2/2-eCFP, PT7lacI- | This study |
BS029 | Duet RodAΔC10-CFP DivIVA-YFP | bla, PT7lacI-rodA ΔC10-eCFP, PT7lacI-divIVA-eYFP | This study |
BS030 | Duet RodAΔC80-CFP DivIVA-YFP | bla, PT7lacI-rodA ΔC80-eCFP, PT7lacI-divIVA-eYFP | This study |
BS031 | Duet RodA1/2-CFP DivIVA-YFP | bla, PT7lacI-rodA1/2-eCFP, PT7lacI-divIVA-eYFP | This study |
BS032 | Duet RodA2/2-CFP DivIVA-YFP | bla, PT7lacI-rodA2/2-eCFP, PT7lacI-divIVA-eYFP | This study |
BS033 | Duet DivIVAΔC20-YFP | bla, PT7lacI-, PT7lacI-divIVAΔC20-eYFP | This study |
BS034 | Duet DivIVAΔC40-YFP | bla, PT7lacI-, PT7lacI-divIVAΔC40-eYFP | This study |
BS035 | Duet DivIVAΔM-YFP | bla, PT7lacI-, PT7lacI-divIVAΔM-eYFP | This study |
BS036 | Duet DivIVAΔN-YFP | bla, PT7lacI-, PT7lacI-divIVAΔN-eYFP | This study |
BS037 | Duet DivIVAΔCC2-YFP | bla, PT7lacI-, PT7lacI-divIVAΔCC2-eYFP | This study |
BS038 | Duet RodA-CFP DivIVAΔC20-YFP | bla, PT7lacI-rodA-eCFP, PT7lacI-divIVAΔC20-eYFP | This study |
BS039 | Duet RodA-CFP DivIVAΔC40-YFP | bla, PT7lacI-rodA-eCFP, PT7lacI-divIVAΔC40-eYFP | This study |
BS040 | Duet RodA-CFP DivIVAΔM-YFP | bla, PT7lacI-rodA-eCFP, PT7lacI-divIVAΔM-eYFP | This study |
BS041 | Duet RodA-CFP DivIVAΔN-YFP | bla, PT7lacI-rodA-eCFP, PT7lacI-divIVAΔN-eYFP | This study |
BS042 | Duet RodA-CFP DivIVAΔCC2-YFP | bla, PT7lacI-rodA-eCFP, PT7lacI-divIVAΔCC2-eYFP | This study |
BS043 | Duet RodAE438G-CFP | bla, PT7lacI-rodAE438G-eCFP, PT7lacI- | This study |
BS044 | Duet RodAE438G-CFP DivIVA-YFP | bla, PT7lacI-rodAE438G-eCFP, PT7lacI-divIVA-eYFP | This study |
BS045 | Duet RodAK434G-CFP | bla, PT7lacI-rodAK434G-eCFP, PT7lacI- | This study |
BS046 | Duet RodAK434G-CFP, DivIVA-YFP | bla, PT7lacI- rodAK434G-eCFP, PT7lacI-divIVA-eYFP | This study |
BS047 | Duet RodAQ435G-CFP | bla, PT7lacI-rodAQ435G-eCFP, PT7lacI- | This study |
BS048 | Duet RodAQ435G-CFP, DivIVA-YFP | bla, PT7lacI-rodAQ435G-eCFP, PT7lacI- divIVA-eYFP | This study |
BS049 | Duet RodAS433G-S437G-CFP | bla, PT7lacI-rodAS433G-S437G-eCFP, PT7lacI- | This study |
BS050 | Duet RodAS433G-S437G-CFP, DivIVA-YFP | bla, PT7lacI-rodAS433G S437G-eCFP, PT7lacI-divIVA-eYFP | This study |
BS051 | Duet RodAmutC10-CFP | bla, PT7lacI-mutC10-eCFP, PT7lacI- | This study |
BS052 | Duet RodAmutC10-CFP, DivIVA-YFP | bla, PT7lacI- mutC10-eCFP, PT7lacI-divIVA-eYFP | This study |
BS053 | Duet DivIVAK20F-YFP | bla, PT7lacI-, PT7lacI-divIVAK20F-eYFP | This study |
BS054 | Duet RodA-CFP, DivIVAK20F-YFP | bla, PT7lacI-rodA-eCFP, PT7lacI-divIVAK20F-eYFP | This study |
BS055 | Duet DivIVAK20R-YFP | bla, PT7lacI-, PT7lacI-divIVAK20R-eYFP | This study |
BS056 | Duet RodA-CFP, DivIVAK20R-YFP | bla, PT7lacI-rodA-eCFP, PT7lacI-divIVAK20R-eYFP | This study |
BS057 | Duet DivIVAK20G-YFP | bla, PT7lacI-, PT7lacI-divIVAK20G-eYFP | This study |
BS058 | Duet RodA-CFP, DivIVAK20G-YFP | bla, PT7lacI-rodA-eCFP, PT7lacI-divIVAK20G-eYFP | This study |
BS059 | Duet DivIVAK20I-YFP | bla, PT7lacI-, PT7lacI-divIVAK20I-eYFP | This study |
BS060 | Duet RodA-CFP, DivIVAK20I-YFP | bla, PT7lacI-rodA-eCFP, PT7lacI-divIVAK20I-eYFP | This study |
BS061 | Duet DivIVAI18D-YFP | bla, PT7lacI-, PT7lacI-divIVAI18D-eYFP | This study |
BS062 | Duet RodA-CFP, DivIVAI18D-YFP | bla, PT7lacI-rodA-eCFP, PT7lacI-divIVAI18D-eYFP | This study |
BS063 | Duet DivIVAI18F-YFP | bla, PT7lacI-, PT7lacI-divIVAI18F-eYFP | This study |
BS064 | Duet RodA-CFP, DivIVAI18F-YFP | bla, PT7lacI-rodA-eCFP, PT7lacI-divIVAI18F-eYFP | This study |
pEKEX2 | |||
EX010 | pEXEK2 | Escherichia coli – C. glutamicum shuttle vector, KanR, Ptac lacIq, pBL1 oriVC.g., pUC18 oriVE.c., | Eikmanns et al. (1991) |
BS018 | pEX2 RodA-GFP | KanR, Ptac lacIq, pBL1 oriVC.g., pUC18 oriVE.c., rodA-gfp | Sieger et al. (2013) |
BS053 | pEX2 RodA1/2-GFP | KanR, Ptac lacIq, pBL1 oriVC.g., pUC18 oriVE.c., rodA1/2-gfp | This study |
BS054 | pEX2 RodA2/2-GFP | KanR, Ptac lacIq, pBL1 oriVC.g., pUC18 oriVE.c., rodA2/2-gfp | This study |
BS055 | pEX2 RodAΔC10-GFP | KanR, Ptac lacIq, pBL1 oriVC.g., pUC18 oriVE.c., rodAΔC10-gfp | This study |
BS056 | pEX2 RodAΔC80-GFP | KanR, Ptac lacIq, pBL1 oriVC.g., pUC18 oriVE.c., rodAΔC80-gfp | This study |
Table 2.
Number | Genotype/Description | Reference |
---|---|---|
C.glutamicum | ||
WT | ATCC 13032 | Laboratory stock |
Res 167 | restriction deficient C. glutamicum mutant, otherwise considered WT | Tauch et al. (2002) |
BSC001 | WT, ΔrodA | Sieger et al. (2013) |
BSC002 | WT, DivIVA-mCherry, ΔrodA | Sieger et al. (2013) |
BSC014 | WT, ΔrodA, DivIVA-mCherry, carrying plasmid BS018 | This study |
BSC015 | WT, ΔrodA, DivIVA-mCherry, carrying plasmid BS055 | This study |
BSC016 | WT, ΔrodA, DivIVA-mCherry, carrying plasmid BS056 | This study |
BSC017 | WT, ΔrodA, DivIVA-mCherry, carrying plasmid BS053 | This study |
BSC018 | WT, ΔrodA, DivIVA-mCherry, carrying plasmid BS054 | This study |
E.coli | ||
DH5α | F- φ80lacZ.M15(lacZYA-argF)U169 recA1 endA1 hsdR17(rk-, mk+) phoA supE44 thi-1 gyrA96 relA1 λ- | Invitrogen |
BL21 (DE3) | F- ompT gal dcm lon hsdSB(rB- mB-) λ(DE3 [lacI lacUV5-T7gene1 ind1 sam7 nin5]) | Invitrogen |
MICROSCOPY
Microscopy was performed on a Zeiss Axio Observer Z1 microscope equipped with a Hamamatsu OrcaR2 camera. A Plan-Apochromat 100x/1.4 Oil Ph3 objective (Zeiss) was used. YFP fluorescence was visualized with filter set 46 HE YFP shift free and CFP fluorescence with filter set 47 HE CFP shift free (Zeiss). Images were acquired with Zen software (Zeiss) or AxioVision 4.6 (Zeiss) and processed with Adobe Photoshop.
FRET
Quantitative FRET values (RCY) were calculated as ratios from emission maxima of eCFP (480 nm) and eYFP (525 nm). FRET measurements were performed in late exponential growing E. coli cells after one washing step with 0.9% NaCl. 150 μl of cell suspension were loaded into a 96 well microtiter plate and subsequently measured in a Tecan Infinite M200 Pro plate reader. The excitation wavelength was 435 nm; emission was monitored in a range from 466 to 610 nm in 3 nm increments.
CELL FRACTIONATION
Analysis of protein localization was performed by cell fragmentation and subsequent centrifugation. Cells were lysed in a FastPrep homogenizer (MP) in five rounds at 5 ms-1. Cell debris and aggregated proteins were removed by centrifugation at 14000 ×g for 20 min and cell membranes were harvested at 90000 ×g for 30 min. Together with the supernatant, samples were run on SDS PAGE and analyzed by immune-blotting. DivIVA-YFP mutants were blotted with an α-GFP antibody and visualized using an α-rabbit-alkaline phosphatase secondary antibody.
RESULTS
TRUNCATION MUTANTS OF DivIVA REVEAL DISTINCT DOMAIN FUNCTIONS
Several truncation mutants of DivIVA were heterologously expressed to analyze importance of the individual domains for protein localization and protein–protein interactions. C. glutamicum DivIVA is composed of a short N-terminal domain (N) and two coiled-coil domains (CC1 and CC2; Figure 1B). The topology and subcellular localization of the mutants are shown in Figure 1C. It turned out that CC2 is responsible for proper folding or assembly of DivIVA oligomers, as deletion of 20 AAs (ΔC20) resulted in aggregation of a likely non-functional protein and deletion of 40 AAs (ΔC40) resulted in cytoplasmic appearance. Since CC2 has been reported to play a role in oligomerization in the B. subtilis DivIVA (Oliva et al., 2010), this would explain how DivIVA monomers lose their ability to localize to the cell poles. Deletion of the N-terminal domain had only a minor effect, where some cell poles were free of protein, likely due to reduced membrane attachment (Figure 1D). 64% of the DivIVA variant ΔN was still membrane associated in contrast to 88% of the wild type protein. Deletion of a middle part of DivIVA (ΔM, AA 144-298) had no effect on DivIVA localization and deletion of CC2 showed the same localization defect as ΔC40. Cell lysate fractionation confirmed the observation that DivIVA-ΔC40 and DivIVA-ΔCC2 fail to localize to the membrane. In these two mutants only 30% (ΔC40)/29% (ΔCC2) of non-aggregated protein remains membrane attached. Full length DivIVA-YFP, ΔC20, and ΔM are 88%/81%/85%, membrane associated (Figure 1D).
Data derived from the crystal structure of the B. subtilis DivIVA suggested a role for phenylalanine (F17, B. subtilis numbering) in membrane-binding. This residue is not conserved in most other species (Figure 1A). Members of the class Actinobacteria possess a positively charged residue (arginine, lysine) at the corresponding position (K20 in C. glutamicum and M. tuberculosis). Sequence alignments between various DivIVA sequences reveal that the actinobacterial DivIVA homologs contain sequence insertions compared to other DivIVA sequences and it may be that other hydrophobic AAs such as isoleucine at position 18 (C. glutamicum numbering) might fulfill a function analogous to the F17 from B. subtilis (Figure 1A). To approach this idea, I18 was mutated to an aspartate and a phenylalanine and both mutants were tested for membrane attachment. It turned out that I18D revealed a slight decrease in membrane binding (71%), whereas I18F had a similar membrane affinity compared to WT (89%; Figure 1D). Finally, we mutated the lysine residue situated at position 20 in C. glutamicum to analyze influence of localization and DivIVA–RodA interaction. The DivIVA variants K20F and K20R localized properly at the poles and septa (Figure 1C), suggesting that K20 is not essential for membrane binding.
PROTEIN–PROTEIN INTERACTIONS MEASURED BY FÖRSTER-RESONANCE ENERGY TRANSFER (FRET)
We established a FRET assay which allows visualization of protein–protein interaction in cell cultures after heterologous expression in E. coli. The proteins of interest are fused to CFP or YFP, respectively and expressed from plasmid pET-Duet1 (Novagen), which harbors two multiple cloning sites with two individual T7 promoters. Table 3 shows ratios of emission maxima measured for several strains. Ratios were calculated by dividing emission maxima for CFP (525 nm) and YFP (480 nm), respectively; thereby giving a RCY value that allows to judge about putative protein–protein interactions. We grouped the ratios into steps as indicated in Table 3, which illustrate the interaction situation of several proteins analyzed in vivo. RCY values below 0.9 reflect a high CFP emission and low YFP emission, as obtained from strains expressing CFP or CFP-tagged proteins alone. A strain expressing soluble CFP and YFP also falls in this RCY range (0.64) and demonstrates the reliability of the assay (Figure S1). Both fluorophores are evenly distributed in the cytosol; however, a FRET signal is not generated even under conditions of extreme overexpression. Values between 0.9 and 1.1 occur when CFP and YFP fluorescent fusions are present in the cell, where some of the fluorescence energy can be transferred from donor to acceptor upon random approximation of the fluorophores. This approximation can be due to topological circumstances, as it is the case for DivIVA and FtsW, a divisome specific RodA homolog. Similar ratios were obtained from other non-interacting examples such as DivIVA with BetP (a betaine carrier) or several RodA and DivIVA mutants (Table 3). In addition, a FRET-based ATP-sensor protein expressed from plasmid pRSETB AT1.03 (Imamura et al., 2009) served as a positive control. The ATP-sensor gave a strong FRET signal under physiological ATP levels (RCY = 1.25). However, when the pRSETB AT1.03 cells were treated with CCCP to depolarize the membrane and thus reduce the ATP level in the cell, the RCY values are 0.98 and are indicative for a loss of FRET. As another control we tested a previously described interaction partner of DivIVA, wild type ParB, and a non-interacting point mutant, ParBR21A. (Donovan et al., 2012). RCY values were 1.16 for DivIVA–ParB interaction and 0.95 for DivIVA and ParBR21A (Figure S2; Table 3). Finally, when only YFP or YFP-tagged proteins were expressed, the emission spectra lack a CFP signal resulting in high RCY values (>1.3).
Table 3.
CFP/YFP ratio | Meaning | Examples |
Reference | ||
---|---|---|---|---|---|
Donor | Acceptor | Ratio | |||
<0.9 | CFP fluorescence; no FRET | CFP | – | 0.55 | This study |
ParB-CFP | – | 0.57 | This study | ||
ParBR21A-CFP | – | 0.57 | This study | ||
RodA-CFP | – | 0.60 | Sieger et al. (2013) | ||
FtsW-CFP | – | 0.62 | Sieger et al. (2013) | ||
CFP | YFP | 0.64 | This study | ||
RodAmutC10-CFP | – | 0.67 | This study | ||
BetP-CFP | – | 0.68 | Sieger et al. (2013) | ||
RodAS433GS437G-CFP | – | 0.68 | This study | ||
RodAΔC10-CFP | – | 0.73 | This study | ||
RodAK434G-CFP | – | 0.75 | This study | ||
RodAQ435G-CFP | – | 0.89 | This study | ||
0.9–1.1 | Approximation of fluorophores; no enrichment or interaction | RodA-CFP | DivIVAΔC20-YFP | 0.92 | This study |
RodA-CFP | DivIVAK20F-YFP | 0.93 | This study | ||
ParBR21A-CFP | DivIVA-YFP | 0.95 | This study | ||
RodA-CFP | DivIVAK20G-YFP | 0.96 | This study | ||
RodA-CFP | DivIVAK20I-YFP | 0.97 | This study | ||
RodA-CFP | DivIVAΔN-YFP | 0.97 | This study | ||
pRSETB AT1.03 | +CCCP (1 μg/ml) | 0.98 | Sieger et al. (2013) | ||
BetP-CFP | DivIVA-YFP | 0.99 | Sieger et al. (2013) | ||
RodAΔC80-CFP | DivIVA-YFP | 0.99 | This study | ||
RodAΔC10-CFP | DivIVA-YFP | 1.03 | This study | ||
RodAK434G-CFP | DivIVA-YFP | 1.04 | This study | ||
RodAQ435G-CFP | DivIVA-YFP | 1.04 | This study | ||
RodAS433GS437G-CFP | DivIVA-YFP | 1.06 | This study | ||
FtsW-CFP | DivIVA-YFP | 1.09 | Sieger et al. (2013) | ||
1.1–1.3 | Enrichment/interaction | RodAE438G-CFP | DivIVA-YFP | 1.10 | This study |
RodA-CFP | DivIVAK20R-YFP | 1.11 | This study | ||
RodA-CFP | DivIVAI18D-YFP | 1.14 | This study | ||
RodA-CFP | DivIVA-YFP | 1.15 | Sieger et al. (2013) | ||
ParB-CFP | DivIVA-YFP | 1.16 | This study | ||
RodAmutC10-CFP | DivIVA-YFP | 1.17 | This study | ||
RodA-CFP | DivIVAΔM-YFP | 1.19 | This study | ||
pRSETB AT1.03 | - CCCP | 1.25 | Sieger et al. (2013) | ||
RodA-CFP | DivIVAI18F-YFP | 1.27 | This study | ||
>1.3 | YFP fluorescence; no FRET | – | YFP | 2.55 | This study |
– | DivIVA-YFP | 4.43 | This study | ||
– | DivIVAΔN-YFP | 4.52 | This study |
A POSITIVELY CHARGED AMINO ACID IN THE N-TERMINUS OF DivIVA IS CRUCIAL FOR INTERACTION WITH RodA
We utilized the established FRET assay to map interaction sites between DivIVA and RodA. Therefore, we co-expressed the DivIVA truncation mutants with full length RodA in E. coli and evaluated the interaction microscopically (Figure 2). Here we show that DivIVAΔC20 is not able to enrich RodA at the poles. DivIVAΔC40 and CC2 both appear cytoplasmic and consequently do not interact with RodA. Interestingly, DivIVAΔN turned out to be unable to enrich RodA to the cell poles (Figure 2, forth column), thereby implicating the involvement of the N-terminal domain for RodA interaction. DivIVAΔM showed the same localization and interaction behavior as full length DivIVA (Figure 2, fifth column), thus suggesting that the middle domain is not involved in RodA interaction. We further analyzed the N-terminal domain by mutating the lysine residue at position 20 (K20). When we mutated K20 to a phenylalanine, RodA enrichment was completely abolished (Figure 3, left column). The FRET ratio of 0.93 is in the range of approximation without interaction (Table 3). Similar, mutations K20I and K20G abolished interaction of DivIVA with RodA (Figure 3, middle columns). To address whether the observed loss of interaction depends on the positive charge, we constructed a conservative replacement, K20R. Interestingly, the co-localization of RodA was restored in the K20R mutant, implicating that a positive charge is necessary for interaction with RodA (Figure 3, right column, white arrows; RCY value of 1.11). DivIVA variants I18D and I18F did not show any alteration in RodA interaction (Figure S3). Both mutants were able to co-localize RodA-CFP, supporting the notion that not all mutations in that region interfere with RodA interaction.
RodA’s C-TERMINUS IS INVOLVED IN INTERACTION WITH DivIVA
Next we aimed to identify the RodA interaction site with DivIVA. Figure 4A shows a topology model of RodA according to a topology prediction simulation (TMHMM; Arnold et al., 2006). The protein harbors 12 transmembrane domains and both termini are facing the cytoplasm. To identify the interaction site with DivIVA we first divided the protein into two CFP-tagged halves and expressed them individually and together with DivIVA in E. coli (Figure 4B). It turned out that the N-terminal part (RodA1/2) localized to the membrane, however, it did not co-localize with DivIVA. The C-terminal part (RodA2/2) appeared cytoplasmic, but co-localized completely with DivIVA, implicating that the interaction site must be in the C-terminal half of the protein, although the truncated protein is apparently not inserted correctly into the membrane. We then made CFP-tagged truncations of 10 and 80 AAs from the C-terminus, ensuring cytoplasmic localization of the fluorophore. Whereas >90% of full length RodA-CFP co-localized with DivIVA foci (RCY = 1.15), co-localization of RodAΔC10-CFP was reduced to approximately 20% (RCY = 1.03) and completely abolished for RodAΔC80-CFP (RCY = 0.99; Figure 4C). Apparently, the C-terminal 10 AAs contribute to the RodA–DivIVA interaction. We finally tested several point mutations in the C-terminal domain of RodA. We reasoned that maybe a negatively charged residue might interact with K20 that we identified within DivIVA to be responsible for interaction. In spite of this, the variant RodAE438G did not abolish interaction (RCY = 1.10). RodAmut10C-CFP, a strain where all C-terminal 10 AAs of RodA were mutated into 10 AAs with similar residues (K → R, Q → N, A → G, RCY = 1.17, Figure 5) preserved the interaction. However, point mutants K434G, Q435G, and the double mutant S433G–S437G decreased interaction with DivIVA (RCY = 1.04, 1.04, and 1.05), implicating an essential role of these four AAs in DivIVA–RodA interaction (Figure 5).
To support the data obtained with the heterologous expression system, we checked subcellular localization and growth complementation of RodA mutants in C. glutamicum. Therefore, we applied fluorescence microscopy after homologous expression of the truncation mutants in ΔrodA (Figure 6A, strains BSC014-16). In addition we used a DivIVA-mCherry background as topological marker for the cell poles and septa. Whereas full length RodA-GFP localized to the cell poles in a DivIVA-dependent manner (yellow arrows; Sieger et al., 2013), RodAΔC10-GFP localized only to some poles and not always co-localized with DivIVA. Instead, most of the RodAΔC10-GFP formed random foci in the cell that did not co-localize with DivIVA (white arrows). These two observations corroborate the situation in E. coli, where only 20% of RodA ΔC10 foci co-localized with DivIVA, implicating loss of tight interaction. RodAΔC80-GFP appeared cytoplasmic and co-localization could not be observed, identical to the situation observed in E. coli. These observations were confirmed in a growth experiment on BHI-Agar plates (Figure 6B). Wild type and the complementation strain ΔrodA/RodA-GFP grew normal, whereas ΔrodA/RodAΔC10-GFP showed slight growth defects. All other strains (ΔrodA, ΔrodA/RodAΔC80-GFP, ΔrodA/RodA1/2-GFP, ΔrodA RodA2/2-GFP) were not able to support growth within 12 h of incubation at 30°C.
DISCUSSION
Spatial and temporal organization is a major task in cell cycle regulation of all living species. Topological determinants like DivIVA are involved in spatial regulation of protein machineries such as the Min system in B. subtilis and Listeria monocytogenes (Bramkamp et al., 2008; Kaval et al., 2014) or the apical growth machinery in C. glutamicum (Letek et al., 2008; Sieger et al., 2013). Until now, it was unclear how the apical growth machinery is positioned in actinobacteria. Earlier studies suggested a link between DivIVA and penicillin-binding proteins (Letek et al., 2008), but recently, we could demonstrate the interaction between DivIVA and RodA in C. glutamicum (Sieger et al., 2013). However, the protein domains mediating interactions were not mapped. Here, we now identified the N-terminal domain of DivIVA as interaction partner of the C-terminal tail of RodA. We identified a positively charged residue (K20) in DivIVA to play a crucial role in this interaction. Loss of the positive charge at this position abolishes DivIVA–RodA interaction, while the conservative mutation, K20R, restores protein–protein interaction. The N-terminal domain of DivIVA is considered to be important for membrane-binding. The structure of the B. subtilis DivIVA reveals that the N-terminus folds into an intertwined-loop which exposes the hydrophobic residue F17. Mutational analysis shows that F17 is essential for membrane binding of the B. subtilis DivIVA. Moreover, the binding is backed by positive charged residues (R18; Oliva et al., 2010). Sequence alignments reveal that the N-terminal domain of DivIVA is highly homologous in most Gram positive bacteria. However, residue F17 from B. subtilis DivIVA is not conserved in actinobacteria. Streptomyces, Corynebacterium, and Mycobacterium species rather contain a positively charged residue at the corresponding site (Figure 1A). The actinobacterial DivIVA homologs contain sequence insertions and the hydrophobic residue mediating membrane association is thus likely I18 in case of C. glutamicum. Although mutation of such to an aspartate did not abolish membrane association compared to WT, localization of I18D in the heterologous host is slightly different compared to wild type (Figure 1C). Mutation of I18 to a phenylalanine, whose hydrophobic character is even more distinctive, restored polar localization of DivIVA and revealed wild type like membrane association. While membrane binding for the B. subtilis DivIVA has been studied in great detail, we know less about membrane binding properties of the actinobacterial proteins. Subcellular localization of C. glutamicum DivIVA shows some obvious differences compared to its B. subtilis homolog. While the B. subtilis DivIVA localizes tightly underneath the polar membrane (Edwards and Errington, 1997), forming a crescent-like structure lining the pole, the C. glutamicum protein localizes to the cell poles, but reaches into the cytoplasm (Letek et al., 2009; Donovan et al., 2012), forming a large complex, similar to the PopZ protein found in C. crescentus (Laloux and Jacobs-Wagner, 2013). It is therefore likely that membrane binding mechanisms are different in B. subtilis and C. glutamicum DivIVA proteins. Support to this notion comes from localization studies using truncated DivIVA (DivIVAΔN), lacking the N-terminal domain. Although, DivIVAΔN is significantly more soluble compared to the full length protein, about 64% of the protein is still membrane associated. Despite its role in membrane interaction, the N-terminal domain of DivIVA is essential for interaction with RodA. The positive charge at residue K20 is required for interaction. It is plausible that the exposed, N-terminal loop of DivIVA is required for interaction with a membrane integral protein such as RodA. A central domain of DivIVA has been shown earlier to promote interaction with the origin-binding protein ParB (Donovan et al., 2012), indicating the modular character of DivIVA which encompasses various domains to mediate protein–protein interaction to various partner proteins.
RodA is an integral membrane protein with 12 predicted transmembrane helices. This topology gives rise to several putative binding-sites that could mediate DivIVA binding. A first, rough truncation study where we expressed RodA in two halves indicated that the DivIVA interaction site is likely situated in the C-terminal part of RodA. Further truncation analysis revealed that the last 10 AAs, forming the C-terminal domain facing the cytoplasm are contributing to the RodA–DivIVA interaction. RodAΔC10 has a drastically reduced FRET interaction with DivIVA; however, expression of RodAΔC10 in C. glutamicum to some extent complements growth in a ΔrodA strain background. Only truncation of the last 80 AAs from the C-terminus completely abolishes localization and interaction with DivIVA. A similar situation has been reported for FtsW, a RodA homolog that is involved in cell division. FtsW interacts via its C-terminal end with FtsZ during cytokinesis of M. tuberculosis (Datta et al., 2002). We were able to pinpoint amino acid residues responsible for RodA–DivIVA interaction in RodA (K434G, Q435G, and the double mutant S433G–S437G), suggesting that the RodA C-terminal domain forms an interaction domain which is built by several amino acid residues.
In earlier work we have been showing that ParB interacts with DivIVA in C. glutamicum. We have mapped the interaction sites and identified a central region in DivIVA (AAs 144-229) as interaction site with ParB (Donovan et al., 2012). Thus, DivIVA exhibits several exclusive interaction domains allowing DivIVA to act as interaction hub for the connection of apical cell growth and chromosome orientation. The N-terminal region of B. subtilis DivIVA interacts with MinJ, a multispan transmembrane protein involved in cytokinesis and division site selection (van Baarle et al., 2013). Thus, DivIVA proteins have evolved to contain interaction motifs for several protein–protein interactions. In actinobacteria DivIVA proteins are essential, likely because they are involved in the spatio-temporal control of two essential cellular processes, cell elongation, and chromosome segregation. Consistent with the fundamental role of DivIVA in these bacteria, actinobacterial DivIVA proteins are larger, containing sequence insertions, when compared to their firmicute counterparts. Future analysis might focus on the regulation of the various protein–protein interactions. DivIVA has been identified as substrate of several protein kinases. Examples of DivIVA phosphorylation have been reported for M. tuberculosis (Kang et al., 2005), Streptomyces coelicolor (Hempel et al., 2012), and Streptococcus pneumoniae (Beilharz et al., 2012). Thereby, phosphorylation of DivIVA has major implications in cell growth or division (Fleurie et al., 2012). It is likely possible that a similar regulatory mechanisms determines chromosome segregation and cell elongation in C. glutamicum.
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Acknowledgments
The authors acknowledge financial support from the Deutsche Forschungsgemeinschaft (BR2915/6-1) and the Federal ministry of Education and Research (BMBF, 031A302B). We thank Karin Schubert for critical comments on the manuscript.
SUPPLEMENTARY MATERIAL
The Supplementary Material for this article can be found online at: http://www.frontiersin.org/journal/10.3389/fmicb.2014.00738/abstract
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