Abstract
The toxin hemolysin A was first identified in uropathogenic E. coli strains and shown to be secreted in a one-step mechanism by a dedicated secretion machinery. This machinery, which belongs to the Type I secretion system family of the Gram-negative bacteria, is composed of the outer membrane protein TolC, the membrane fusion protein HlyD and the ABC transporter HlyB. The N-terminal domain of HlyA represents the toxin which is followed by a RTX (Repeats in Toxins) domain harboring nonapeptide repeat sequences and the secretion signal at the extreme C-terminus. This secretion signal, which is necessary and sufficient for secretion, does not appear to require a defined sequence, and the nature of the encoded signal remains unknown. Here, we have combined structure prediction based on the AlphaFold algorithm together with functional and in silico data to examine the role of secondary structure in secretion. Based on the presented data, a C-terminal, amphipathic helix is proposed between residues 975 and 987 that plays an essential role in the early steps of the secretion process.
Keywords: bacterial secretion systems, secretion signal, ABC transporter, amphipathic helix, ATPase activity, protein secretion
Introduction
Type 1 secretion systems (T1SS) are widespread in Gram-negative bacteria and translocate a large variety of mainly proteinaceous substrates (Holland et al., 2016). The general blueprint of such a nanomachinery consists of an ABC transporter, a membrane fusion protein (MFP) and an outer membrane protein (OMP). In the presence of a substrate, the three components form a continuous channel across the inner and outer membrane, which allows the translocation of the substrate from the cytosol into the extracellular space in one step.
A well-known member of sub-family 2 of T1SS is the hemolysin A (HlyA) T1SS, which is composed of the ABC transporter HlyB, the membrane fusion protein HlyD and the outer membrane protein TolC [for recent reviews see Kanonenberg et al. (2013)], which was first identified in uropathogenic E. coli strains (Felmlee et al., 1985). The secretion signal of the substrate is located at the extreme C-terminus and is not cleaved prior, during or after transport (Gray et al., 1986). Additionally, these substrates are characterized by Gly- and Asp-rich nonapeptide repeats, the so-called GG-repeats (Welch, 2001). These GG-repeats with the consensus sequence GGxGxDxUx (x: any amino acid, U: large, hydrophobic amino acid) bind Ca2+ ions with an affinity of approximately 150 μM (Sanchez-Magraner et al., 2007). As the concentration of free Ca2+ ions in the cytosol is around 300 nM (Jones et al., 1999), orders of magnitude below the KD, substrates of sub-family 2 remain unfolded in the cytosol, as demonstrated for HlyA (Bakkes et al., 2010). In contrast, Ca2+ concentration in the extracellular space is around 2 mM. This results in binding of Ca2+ ions to the GG-repeats, which induces folding of the entire protein and formation of a β-roll structure similar to that first identified in Pseudomonas aeruginosa alkaline protease (Baumann et al., 1993). The GG repeats in the β-roll defines the Repeat in ToXins (RTX) domain that is found in a large family of T1SS-secreted proteins, and these are accordingly referred to as RTX proteins.
With the exception of sub-family 1 (Kanonenberg et al., 2013), all other substrates of T1SS contain a C-terminal secretion signal at the extreme C-terminus that is necessary and sufficient for secretion (Mackman et al., 1987). Mutational studies of HlyA revealed that the secretion “information” is located in the last 50 to 60 residues (Nicaud et al., 1986; Mackman et al., 1987; Koronakis et al., 1989; Jarchau et al., 1994). However, despite extensive research, the exact nature of the information or code remains enigmatic. Based on sequence comparisons, no real conservation on the level of primary structure was evident within all sub-families (Holland et al., 2016). This was confirmed by random mutagenesis of the secretion signal of HlyA, indicating a high level of redundancy with only eight positions showing drastic influences on secretion efficiencies (Kenny et al., 1994). This redundancy led to the proposal that secondary structures might be encoded in the secretion signal. A putative amphipathic α-helix located between residues 973 and 987 of HlyA was first proposed by in silico approaches and subsequently supported by mutagenesis studies (Koronakis et al., 1989; Stanley et al., 1991) that indicated a larger α-helix between residues 976 and 1001. However, the presence of such a helix remained under debate, and a series of studies either supported or contradicted the theory (Stanley et al., 1991; Kenny et al., 1992, 1994; Chervaux and Holland, 1996). A combinatorial approach combined with structural studies provided further support for the importance of an amphipathic helix, now situated between residues 975 and 988 (Yin et al., 1995; Hui et al., 2000; Hui and Ling, 2002). Unfortunately, the crystal structure of the C-terminal part of the RTX domain of CyaA did not provide further information, as the last 33 C-terminal amino acids covering the corresponding region in CyaA were disordered in the structure (Bumba et al., 2016). Thus, the nature of the code of the secretion signal is still unclear, and it is also an open question whether all RTX proteins use the same code to initiate secretion: secondary structure predictions as well as the few crystal structures of proteases and lipases of the RTX family indicate rather the presence of β-strand structures, but not an α-helical content of the C-terminus (Baumann et al., 1993; Meier et al., 2007).
In this study, we re-examined the role of C-terminal secretion signal of HlyA based on a set of mutants (Chervaux and Holland, 1996) within the proposed amphipathic α-helix, but extended the number of mutants by including proline residues. Since the hemolytic activities of all mutants were not affected, we focused on the initial steps of secretion and determined the rate of secretion per transporter. Here, important differences became apparent pointing toward an essential role of a putative amphipathic α-helix in the secretion of HlyA. Additionally, we further supported the hypothesis by an in silico analyses of the primary sequence and by modeling the structure of HlyA using AlphaFold (Jumper et al., 2021). Overall, our results strongly support the essential role of this amphipathic α-helix in the initiation step of the secretion process of HlyA.
Materials and Methods
AlphaFold Prediction of the HlyA Structure
AlphaFold (Jumper et al., 2021) was used to predict the structure of HlyA (Uniprot entry P08715) employing the ColabFold web interface1 using standard settings (five models and no templates).
Cloning of Pro-HlyA Mutants
Mutations were introduced in the pro-HlyA plasmid pSU-HlyA (Thomas et al., 2014a) by applying the quick-change PCR method using primers listed in Table 1 and following the protocol of the manufacturer (New England Biolabs).
TABLE 1.
Mutant | Forward primer | Reverse primer |
P975G | CAGGGTGATCTTAATGGAT TAATTAATGAAATCAGC |
GCTGATTTCATTAATTAA TCCATTAAGATCACCCTG |
N978G | GATCTTAATCCATTAATTGG TGAAATCAGCAAAATC |
GATTTTGCTGATTTCACC AATTAATGGATTAAGATC |
E979G | CCATTAATTAATGGAATCA GCAAAATCATTTCAGCTGC |
GCAGCTGAAATGATTTTGC TGATTCCATTAATTAATGG |
E979P | CCATTAATTAATCCAATCA GCAAAATCATTTCAGCTGC |
GCAGCTGAAATGATTTTGC TGATTGGATTAATTAATGG |
I980S | CCATTAATTAATGAATCCA GCAAAATCATTTCAGCTGC |
GCAGCTGAAATGATTTTGC TGGATTCATTAATTAATGG |
I980P | CCATTAATTAATGAACCCA GCAAAATCATTTCAGCTGC |
GCAGCTGAAATGATTTTGC TGGGTTCATTAATTAATGG |
S981I | CATTAATTAATGAAATC ATCAAAATCATTTCAGC |
GCTGAAATGATTTTGATG ATTTCATTAATTAATG |
S981P | CATTAATTAATGAAATCC CCAAAATCATTTCAGCTG |
CAGCTGAAATGATTTTGG GGATTTCATTAATTAATG |
K982T | CCATTAATTAATGAAATCA GCACAATCATTTCAGCTGC |
GCAGCTGAAATGATTGTG CTGATTTCATTAATTAATGG |
K982P | CCATTAATTAATGAAATCAG CCCAATCATTTCAGCTGC |
GCAGCTGAAATGATTGGGC TGATTTCATTAATTAATGG |
I983S | GAAATCAGCAAAAGC ATTTCAGCTGCAG |
CTGCAGCTGAAATG CTTTTGCTGATTTC |
I984S | GAAATCAGCAAAATC AGCTCAGCTGCAGG |
CCTGCAGCTGAGCTG ATTTTGCTGATTTC |
I984P | GAAATCAGCAAAATC CCTTCAGCTGCAG |
CTGCAGCTGAAGGGAT TTTGCTGATTTC |
S985A | CAGCAAAATCATTG CAGCTGCAGG |
CCTGCAGCTGCAA TGATTTTGCTG |
S985P | CAGCAAAATCATTC CAGCTGCAGG |
CCTGCAGCTGGAA TGATTTTGCTG |
F990P | CATTTCAGCTGCAGGTAGCC CCGATGTTAAAGAGGAAAG |
CTTTCCTCTTTAACATCGGGG CTACCTGCAGCTGAAATG |
I983P | GAAATCAGCAAACC CATTTCAGCTGCAG |
CTGCAGCTGAAATG GGTTTGCTGATTTC |
A986P | GCAAAATCATTTCA CCTGCAGGTAGC |
GCTACCTGCAGGT GAAATGATTTTGC |
E979G-I980S -K982T |
CCATTAATTAATGGATCCAG CACAATCATTTCAGCTGC |
GCAGCTGAAATGATTGTGC TGGATCCATTAATTAATGG |
E979G-K982T | CCATTAATTAATGGAATCA GCACAATCATTTCAGCTGC |
GCAGCTGAAATGATTGTGC TGATTCCATTAATTAATGG |
E979P-I980P -K982P |
CCATTAATTAATCCACCCA GCCCAATCATTTCAGCTGC |
GCAGCTGAAATGATTGGG CTGGGTGGATTAATTAATGG |
E979G-I980S | CCATTAATTAATGGAAGCA GCAAAATCATTTCAGCTG |
CAGCTGAAATGATTTTGC TGCTTCCATTAATTAATGG |
I980S-K982T | CCATTAATTAATGAAAGCA GCACAATCATTTCAGCTGC |
GCAGCTGAAATGATTGTG CTGCTTTCATTAATTAATGG |
Overexpression and Purification of Pro-HlyA and Mutants From Inclusion Bodies
Overexpression and purification was performed as described in Thomas et al. (2014a). In brief, the expression of pro-HlyA was induced by adding 1 mM IPTG to cultures. Incubation was continued for 4 h and cells were harvested by centrifugation (8000 g, 10 min, 4°C). For the purification of pro-HlyA, cells were resuspended in 50 mM HEPES pH 7.4, 150 mM NaCl, 10% (w/v) glycerol, 0.05% (w/v) NaN3 and lysed by passing three times through a cell disruptor at 1.5 kbar (M-110P, Microfluidics). Inclusion bodies were collected by centrifugation at 18,000 g for 30 min. Pellets were washed and centrifuged successively in (1) 50 mM HEPES, pH 7.4, 50 mM EDTA, 1% (w/v) Triton X-100, 0.05% (w/v) NaN3 and (2) 50 mM HEPES, pH 7.4, 1 mM EDTA, 1 M NaCl, 0.05% (w/v) NaN3. The pellet was solubilized overnight in 20 mM HEPES pH 7.4, 20 mM NaCl, 6 M urea) at room temperature. Insoluble material was removed by ultra-centrifugation (150,000 g, 30 min, 4°C) and the urea-solubilized inclusion bodies were stored at −80°C.
Small Angle X-ray Scattering Measurements
Size exclusion chromatography coupled small angle x-ray scattering (SEC-SAXS) data of refolded proHlyA were collected on beamline BM29 at the ESRF Grenoble (Pernot et al., 2010, 2013). The BM29 beamline was equipped with a PILATUS 1M detector (Dectris) at a fixed distance of 2.869 m. The measurement of refolded pro-HlyA (8.0 mg/ml, 110 μL inject) were performed at 10°C on a Superose 6 increase 10/300 column, preequilibrated with 100 mM HEPES pH 8.0, 250 mM NaCl, 10 mM CaCl2. with a flowrate of 0.5 ml/min, collecting one frame every 2 s. Data were scaled to absolute intensity against water.
All programs used for data processing were part of the ATSAS Software package (Version 3.0.4) (Manalastas-Cantos et al., 2021). Primary data analysis was performed with the program CHROMIXS (Panjkovich and Svergun, 2017) and PRIMUS (Konarev et al., 2003). With the Guinier approximation (Guinier, 1939), the forward scattering I(0) and the radius of gyration (Rg) were determined. The program GNOM (Svergun, 1992) was used to estimate the maximum particle dimension (Dmax) with the pair-distribution function p(r). Low resolution ab initio models were calculated with GASBORMX (Svergun et al., 2001; Petoukhov et al., 2012) (P2 Symmetry). Dimer docking of the calculated AlphaFold (Jumper et al., 2021) monomer model was done with SASREFMX (Petoukhov and Svergun, 2005; Petoukhov et al., 2012). Superimposing of the calculated dimer model was done with the program SUPCOMB (Kozin and Svergun, 2001). The monomer/dimer content of the scattering data was determined with OLIGOMER (Konarev et al., 2003) using the AlphaFold monomer and the SASREFMX dimer as input.
In vitro Acylation Assay and Hemolytic Activity of HlyA
An in vitro acylation protocol was applied as described in Thomas et al. (2014b). Briefly, the pro-HlyA mutants were unfolded in 6 M urea and any divalent cations were removed by adding 10 mM EDTA. Pro-HlyA was mixed with HlyC and acyl-carrier protein (ACP) and the hemolysis-efficiency on erythrocytes was quantified by measuring the hemoglobin release at 544 nm (Thomas et al., 2014b) at a final concentration of HlyA of 18 μg/ml (160 nM). 1 μl of 16% SDS solution in 74 μl assay was used as positive control to determine the value of 100% cell lysis. The concentration of wildtype HlyA and the mutants was chosen as it represents the lowest concentration of wildtype HlyA with the highest lytic activity (Thomas et al., 2014b).
Secretion Assay of Pro-HlyA-Mutants
The secretion rate of the pro-HlyA mutants was determined as described before (Lenders et al., 2016). Briefly, cells were grown for a total of 4 h. Every hour, samples were taken and the supernatants were analyzed by SDS-PAGE. Pro-HlyA as well as the secretion apparatus was subsequently quantified and the secretion rates were determined as amino acids per second and transporter as described in detail in (Lenders et al., 2016).
Secondary Structure Prediction
Quick2D (Zimmermann et al., 2018) and AmphipaSeeK (Combet et al., 2000; Sapay et al., 2006) were used to predict the secondary structures. Quick2D is able to predict α-, π- and TM-helices, β-strands, coiled coils, as well as disordered regions (Zimmermann et al., 2018). AmphipaSeeK, on the other hand, is specifically designed to identify amphipathic helices (Sapay et al., 2006). The output includes a secondary structure prediction, a predicted membrane topology (in-plane or not in-plane), a prediction score for the proposed membrane topology and an amphipathy score for each residue in dependence to the neighboring residues.
Structure Prediction of HlyA Derived Peptides
PEP-FOLD3 was used to model peptides of HlyA (Thevenet et al., 2012; Shen et al., 2014; Lamiable et al., 2016).
Illustration and Visualization
The amphipathic nature of a helix was visualized by a helical wheel projection using NetWheel (Mol et al., 2018). Protein and peptide structures were visualized using PyMOL.2 In order to illustrate and identify hydrophobic surfaces the yrb-script was applied in PyMOL, which highlights carbon atoms that are not bound to oxygen or nitrogen in yellow, the charged oxygens of Glu and Asp residues in red, the charged nitrogens of Lys and Arg residues in blue, while all other atoms are white (Hagemans et al., 2015).
Results
The structure of pro-HlyA is unknown and established homology modeling tools such as PHYRE2 (Kelley et al., 2015) were unable to model a complete structure of pro-HlyA. HlyA is acylated at two Lys residues (K564 and K690) in the cytosol of E. coli prior to secretion. Only its acylated version forms pores in the host membrane. Consequently, the non-acylated, inactive form is called pro-HlyA. Recent developments, resulting in the program AlphaFold (Jumper et al., 2021) allowed the modeling of the entire pro-HlyA monomer. Even in the absence of Ca2+ ions, the characteristic feature of RTX proteins, the β-roll of the GG-repeats (Linhartova et al., 2010) was completely modeled (Figure 1A).
To verify this model experimentally, we turned to small angle X-ray scattering (SAXS). Small angle X-ray scattering allows the study of proteins in solution and offers information about the oligomeric state. Wild type pro-HlyA, i.e., the non-acylated version of the protein, was expressed and purified from inclusion bodies (Figure 2A). As shown in Figure 2B, size exclusion chromatography indicated a broadly eluting sample, which was used for subsequent SAXS experiments.
We used size exclusion chromatography-coupled SAXS (SEC-SAXS) to separate different higher oligomeric species as well as aggregates from the sample. Analyzing different frames revealed an inhomogeneous distribution within the peak. Frames were subsequently merged using CHROMIX and the corresponding buffer frames were subtracted. The determined molecular weight for pro-HlyA was near to that of the calculated dimer (220.38 kDa), leading to the conclusion that the protein forms a dimer in solution (Table 2). Nevertheless, a monomer/dimer mixture was present in solution and an ab initio model for the pro-HlyA dimer (χ2:1.19) was calculated using GASBORMX. SASREFMX and the AlphaFold monomer model were used to dock a dimer based on the SAXS data (χ2:1.4). With the resulting dimer and the initial monomer, a content of 81.7% dimers and 18.2% monomers in the chosen frames using OLIGOMER was determined. The SAREFMX dimer model was superimposed with the calculated ab initio model of GASBORMX and the dimer interface was localized to the C-terminal part of the pro-HlyA protein (Figure 3).
TABLE 2.
SAXS Device | BM29, ESRF Grenoble (Pernot et al., 2010, 2013) |
Data collection parameters | |
Detector | PILATUS 1 M |
Detector distance (m) | 2.869 |
Beam size | 700 μm × 700 μm |
Wavelength (nm) | 0.099 |
Sample environment | Quartz capillary,1 mm ø |
s range (nm–1)‡ | 0.025–5.0 |
Exposure time per frame (s) | 2 |
Sample | pro-HlyA refolded |
Organism | E. coli UTI89 |
UniProt ID and range | P08715 |
Mode of measurement | Online SEC-SAXS |
Temperature (°C) | 10 |
Protein buffer | 100 mM HEPES pH 8.0, 250 mM NaCl, 10 mM CaCl2 |
SEC-Column | Superose 6 increase 10/300 |
Injection volume (μl) | 110 |
Flowrate | 0.5 ml/min |
Protein concentrations | 8.0 mg/ml |
Structural parameters | |
I(0) from P(r) | 97.54 |
Rg [real-space from P(r)] (nm) | 7.04 |
I(0) from Guinier fit | 95.91 |
s-range for Guinier fit (nm–1) | 0.080–0.187 |
Rg (from Guinier fit) (nm) | 6.65 |
points from Guinier fit | 4–27 |
Dmax (nm) | 25.26 |
POROD volume estimate (nm3) | 346.40 |
Molecular mass (kDa) | |
From I(0) | n.d. |
From Qp (Porod, 1951) | 242.10 |
From MoW2 (Fischer et al., 2010) | 204.90 |
From Vc (Rambo and Tainer, 2013) | 195.01 |
Bayesian Inference (Hajizadeh et al., 2018) | 208.00 |
From POROD | 173.2–216.5 |
From sequence | 110.19 (monomer) 220.38 (dimer) |
Structure evaluation | |
Gasbor MX fit χ2 | 1.19 |
Sasref MX fit χ2 | 1.4 |
Oligomer fit χ2 (ratio) | 1.32 (81.7% dimer/18.2% monomer) |
Ambimeter score | 2.525 |
Software | |
ATSAS Software Version (Manalastas-Cantos et al., 2021) | 3.0.4 |
Primary data reduction | CHROMIXS (Panjkovich and Svergun, 2017)/PRIMUS (Konarev et al., 2003) |
Data processing | GNOM (Svergun, 1992) |
Ab initio modeling | GASBORMX (Svergun et al., 2001; Petoukhov et al., 2012) |
Rigid body modeling | SASREFMX (Petoukhov and Svergun, 2005; Petoukhov et al., 2012) |
Mixture analysis | OLIGOMER (Konarev et al., 2003) |
Superimposing | SUPCOMB (Kozin and Svergun, 2001) |
Structure evaluation | AMBIMETER (Petoukhov and Svergun, 2015) |
Model visualization | PyMOL (www.pymol.org) |
‡s = 4πsin(θ)/λ, 2θ – scattering angle, λ – X-ray-wavelength, n.d. not determined.
The nature of the additional densities is highly speculative and might reflect the high flexibility of pro-HlyA. However, the good quality of the main part of the dimer model suggests that the overall structure of pro-HlyA is of high reliability. Most importantly, an amphipathic helix (Figure 1B) covering residues 975–987 within the secretion signal was present in the AlphaFold model.
In the early studies, random and directed mutagenesis methods were applied to the secretion signal of an N-terminally truncated construct of HlyA, called HlyA1 (residue 806–1024; 23 kDa) (Stanley et al., 1991; Kenny et al., 1992; Chervaux and Holland, 1996), which covers three GG-repeats of the RTX domain as well as the secretion signal. These studies revealed that the secretion signal is relatively tolerant toward mutations; however, some mutations had drastic impacts on the amount of secreted HlyA1 and most of them clustered in a proposed amphipathic α-helix predicted between residue L973 and F990 (Koronakis et al., 1989). In light of the AlphaFold model and its fit to the SAXS envelope (Figure 3), we therefore re-investigated the mutational studies of this region (Chervaux and Holland, 1996). It is not expected that pro-HlyA will fold in the cytosol of E. coli (Bakkes et al., 2010) as the concentration of free Ca2+ is too low [approximately 300 nM (Jones et al., 1999)] to bind to the GG-repeats of the RTX domain and thereby inducing folding. However, secondary structure elements also exist in unfolded proteins as demonstrated by solid state NMR (Curtis-Fisk et al., 2008; Wasmer et al., 2009) making the presence of the amphipathic helix possible in the cytosol of E. coli.
We introduced all of these mutations and combinations thereof (Chervaux and Holland, 1996) as well as proline-substitutions into full length HlyA. In a first step, we explored their hemolytic activities (for HlyA) as well as their secretion rates (for non-acylated pro-HlyA). As pro-HlyA requires acylation of two internal lysine residues (K564 and K690) for hemolytic activity (Stanley et al., 1994), wild type and all mutants were activated by an in vitro acylation assay according to Thomas et al. (2014b). This allowed us to quantify their activity and, most importantly, normalize it to the amount of HlyA used in the hemoglobin release assay by measuring the absorption spectrum. Here, and in contrast to earlier work (Chervaux and Holland, 1996), normalization to the amount of active HlyA in the assay clearly demonstrated that none of the mutations affected the actual hemolytic activity of HlyA within experimental error (Figure 4A).
The hemolytic activity of all HlyA single point mutants, which were already investigated by Chervaux and Holland (1996), did not affect the hemolytic activity. We also created and included triple mutants since they are part of the predicted amphipathic α-helix to verify whether cumulative effects might be present. As shown in Figure 4A, no change in hemolytic activity was detected for these mutants. Based on the results of the hemolytic assay, we moved one step further and determined the secretion rates of all mutants according to Lenders et al. (2016) (Figure 4B).
In contrast to the hemolytic activity of acylated HlyA, the secretion rates of non-acylated pro-HlyA clearly showed a reduction in the rates for certain mutations. Wild type pro-HlyA was secreted at 14.3 ± 3.1 amino acids*T1SS–1*s–1, which is in the range of the reported value of 16.0 ± 1.3 amino acids*T1SS–1*s–1 within experimental error (Lenders et al., 2016). All of the non-proline single point mutations displayed the same secretion rates as the wild type within standard error. The values ranged from 12.8 ± 2.0 amino acids*T1SS–1*s–1 (I980S) to 20.2 ± 2.1 amino acids amino acids*T1SS–1*s–1 (E979G). In contrast, all single proline mutations, with the exception of E979P and S981P, displayed a clear reduction in the secretion rates. In the case of E979P and S981P, the rates were slightly higher than the rate of wild type pro-HlyA (19.5 ± 2.3 amino acids*T1SS–1*s–1) and (19.4 ± 3.4 amino acids*T1SS–1*s–1, respectively). For the triple (red bars in Figure 4B) and the quadruple (brown bars in Figure 4B) mutants, the secretion rates were close to the background.
Proline is known as a so-called helix breaker, due to its unique conformation and rigid rotation. Its preferred position in helices is at the N-terminus (Richardson and Richardson, 1988), but helices with proline in or close to the center are still possible (Kim and Kang, 1999). In order to correctly interpret the secretion rates of especially the proline mutants, secondary structure prediction tools (Sapay et al., 2006; Zimmermann et al., 2018) as well as peptide modeling with the tool PEP-FOLD3 (Thevenet et al., 2012) were employed. This was necessary as the algorithm implemented in AlphaFold was not trained on single mutants and is insensitive to single side chain changes (Jumper et al., 2021). Firstly, this analysis revealed that a putative amphipathic α-helix of HlyA is situated between residue P975 and A987 (Figure 5) in strong agreement with the structural model (Figure 1B). Alternatively, the prediction tools placed the α-helix between residues 975 and 987 or 974 and 986. Secondly, the mutants E979P and S981P, which showed secretion rates similar to the wild type within standard deviation (Figure 3), are still able to form an amphipathic α-helix. In contrast, mutants such as I980P and I984P, whose secretion rates were strongly reduced, showed much shorter helices in the predictions (Figure 6).
The secondary structure prediction tools predicted impairments of the amphipathic α-helix for almost all mutants that exhibited a reduced secretion rate. Four mutants were identified whose secretion rate was strongly reduced, but a helix was still predicted: F990P, which is not part of the amphipathic α-helix, K982P, S985P and A986P. However, their secretion rate phenotypes can be rationalized with the help of additional in silico tools.
The latter two mutations, S985P and A986P, showed a slightly shortened amphipathic α-helix in the predictions (Figures 6E,G) while A986 marks the end of the amphipathic α-helix in wild type pro-HlyA, followed by another Ala residue and a Gly residue. This region [(S)AAG] is therefore flexible, which is also reflected by the five different models from PEP-FOLD3 for wild type HlyA- amphipathic α-helix, where tails project in different directions (Figure 5C). This flexibility is most likely impaired when a proline residue is introduced at this position, which explains the observed reduced secretion rate. In addition to the reduced flexibility, the polarity of the polar side of the amphipathic α-helix is reduced for S985P, which is illustrated in the helical wheel projection (Figure 6H).
The mutant K982P also results in a change of polarity, correlating with a reduced secretion rate of 1.3 ± 0.8 aa T1SS–1*s–1 (Figure 6I). However, the mutant K982T, which equally eliminates the positive charge at this position, shows wild type-like secretion (Figure 4B), showing that a positive charge at this position is not essential for efficient secretion. However, a proline at this position introduces a bend to the amphipathic α-helix as seen in the PEP-FOLD3 models (Figure 6J). The proline substitution at n-1 (S981P) also shows a bend of the amphipathic α-helix but no impairment of the secretion rate within experimental error (19.4 ± 3.4 aa T1SS–1*s–1) (Figure 6J). These two mutants were found to bend the amphipathic α-helix in opposite directions, with S981P resembling the wild type more than K982P (Figure 6I). This is in line with the secretion rates (Figure 4B) and further supports the hypothesis that the precise secondary structure of this motif is essential for secretion.
F990 is not part of the predicted amphipathic α-helix but highly susceptible to mutations and essential for secretion. In previous studies it has been demonstrated that a substitution of this residue to His, Cys, Ala, Ser, Ile, Asn or Pro strongly reduced the secretion of HlyA to <20% compared to wild type (Chervaux and Holland, 1996). The substitution to Tyr was least affected and allowed a secretion of approximately 35% compared to wild type protein (Chervaux and Holland, 1996). Interestingly, CyaA from B. pertussis also contains a Tyr residue at this position (Bumba et al., 2016).
Further support of the importance of the amphipathic α-helix comes from calculations of the hydrophobic moment (Table 3). The hydrophobic moments decreases with decreasing secretion rates with the only exception being the I984P mutant. This dependence again highlights that the amphipathic α-helix plays an essential role during secretion.
TABLE 3.
Sequence | Calculated hydrophobic moment | Secretion rate [aa/T1SS*sec] |
NPLINPISKIISAAGNF | 0.519 | 19.5 |
NPLINEISKIISAAGNE | 0.494 | 16 |
NPLINEIPKIISAAGNE | 0.492 | 19.4 |
NPLINEISKIIPAAGNE | 0.481 | 2.9 |
NPLINEISKIPSAAGNE | 0.436 | 6.8 |
NPLINEPSKIISAAGNE | 0.420 | 3.7 |
NPLINEISKIISPAGNE | 0.41 | 0.4 |
NPLINEISPIISAAGNE | 0.403 | 1.3 |
Hydrophobic moments were calculation using hmoment (https://www.bioinformatics.nl/cgi-bin/emboss/hmoment) employing standard settings. Mutants are arranged according to decreasing hydrophobic moments.
At least five other RTX proteins can be secreted by the HlyBD-TolC system (Figure 7; Gygi et al., 1990; Highlander et al., 1990; Masure et al., 1990; Thompson and Sparling, 1993; Kuhnert et al., 2000). The structure of the C-terminus of one of these has been solved (CyaA), and also shows an amphipathic α-helix followed by an aromatic residue (Bumba et al., 2016). The secondary structures of the last 60 residues of the remaining four RTX proteins have been predicted with secondary structure prediction tools and all four show amphipathic α-helices in the N-terminus of their secretion signal followed by an aromatic residue (Figure 7). Taken together, the secretion rate phenotypes of the HlyA mutants in combination with their in silico analysis and the comparisons to heterologous substrates of the HlyBD-TolC system strongly support the presence of an amphipathic α-helix in the secretion signal and emphasize the importance of the correct secondary structure for secretion.
In summary, the data presented here including functional data, structural modeling and in silico analysis strongly point toward an essential role of an amphipathic α-helix covering amino acid residues 970-987 in the C-terminal secretion signal of HlyA.
Discussion
The AlphaFold algorithm (Jumper et al., 2021) correctly modeled the β-roll domain of pro-HlyA (Figure 1A) even in the absence of Ca2+ ions. Currently, ligands cannot be included, but the predicted β-roll of pro-HlyA aligns well with the corresponding regions of alkaline protease (Baumann et al., 1993) or block IV/V of the RTX domain of CyaA (Bumba et al., 2016), increasing the confidence in the model. Motivated by this three-dimensional model produced by AlphaFold (Figure 1A) that demonstrated the presence of an amphipathic α-helix in the secretion signal (Figure 1B), we re-examined the presence and role of this amphipathic α-helix for the secretion of pro-HlyA by its cognate T1SS.
Small angle X-ray scattering (SAXS) data of pro-HlyA in solution were used to further improve the quality and accuracy of the model (Figure 3). One has to note that pro-HlyA in solution predominantly forms dimers (Thomas et al., 2014a), a fact that was also confirmed by SEC-SAXS and included in docking of the pro-HlyA model into the SAXS envelope (Figure 3). Without going into the details of the obtained model, the presence of an amphipathic α-helix (Figure 1B) was already proposed by Koronakis et al. (1989) with slight deviations in the exact position and length of the α-helix. Based on this agreement between theory and experiment, we analyzed the precise nature of the amphipathic α-helix signaling and its involvement in the secretion process of HlyA. We also tried to verify this structure by single particle cryo-EM. The C-terminal part, i.e., the RTX domain and the secretion signal, fitted well into the map. However, no density was observed for the N-terminal part indicating a high degree of flexibility and/or denaturation during grid preparation (not shown).
The hemolytic assay of HlyA and the mutants did not reveal any significant differences in activity (Figure 4A) as long as the proteins were used at identical concentrations. This is in contrast to mutations within the last six amino acids of HlyA (Jumpertz et al., 2010). Here, a reduced hemolytic activity was determined, which likely was due to impaired folding of the mutant protein. In the case of mutations within the amphipathic α-helix, folding and the resulting activity is apparently not influenced, pointing toward a role of these residues in an earlier step of the secretion process. Thus, steps taking place on the extracellular side are not impaired and we focused processes at the cytoplasmic side and measured the secretion rates per transporter of each mutant and compared it to the wild type protein (Figure 4B). All of the non-proline, single mutations within the amphipathic α-helix showed no change in the secretion rate per transporter within experimental error. For the single proline mutations, the situation was more complex. Positions E979 and S981 were insensitive to mutations to proline, while positions I980, K982, I983, I984, S985, and A986 were very sensitive and showed drastic reductions of the secretion rate, some had secretion rates close to background values (Figure 4B). This was also true for position F990, which is not part of the amphipathic α-helix, but one of the few amino acids that were determined in mutational studies to be essential for efficient secretion (Chervaux and Holland, 1996; Holland et al., 2016). Since the most efficient secretion can be achieved by a substitution with another aromatic residue, π-π interactions can be assumed, that are disrupted in F990P. Vernon et al. provided an extensive study analyzing π-π interactions in different protein crystal structures (Vernon et al., 2018). Amongst other findings they show that Phe and Tyr have very similar preferences for the nature of their contacts, and that π-π stacking with non-aromatic residues is actually more common than aromatic-aromatic stacking. Furthermore, they identified Arg as the first or second most likely interaction partner for any given aromatic side chain (Vernon et al., 2018). Conserved Arg residues can be found, for example in the cytosolic domain (CD) of HlyD and could present an interaction partner to F990.
In summary, these results supported the notion that secretion rates as read-out for impaired secretion efficiency is a valid approach. The triple and quadruple mutants were also drastically impaired in their secretion rates. Importantly, the secretion rate of the triple mutant E979G/I980S/K982T, containing no proline residues, was also reduced close to background levels. This was in contrast to the single mutations, which displayed secretion rates identical to the wild type protein, suggesting an additive or even cooperative effect of these mutations in HlyA secretion that disrupted the predicted amphipathic α-helix. Since the AlphaFold algorithm was not trained to take single site mutations into account for accurate structure predictions (Jumper et al., 2021), we turned to an in silico analysis of the mutants. For wildtype pro-HlyA, a close match between the model and the prediction for the amphipathic α-helix using different programs was obtained (Figure 5). More importantly, however, was the analysis of the mutants. In all cases, in which the secretion was not impaired within experimental error, an amphipathic α-helix was predicted that resembled strongly the wild type. In contrast, in all cases that impaired the secretion rates, the length of the amphipathic α-helix was reduced (Figures 6C,D) or the bending of the amphipathic α-helix was inverted (Figures 6I,J). Thus, the correct length and bending direction are indispensable for efficient secretion of the substrate, which is also supported by the calculation of the hydrophobic moments of the mutants (Table 3).
Moving one step further, we also analyzed further RTX toxins, which have been secreted in the past using the HlyA T1SS (Figure 7). For CyaA, the structure of block IV/V of the RTX domain was determined by X-ray crystallography but the region of the amphipathic α-helix and the flanking aromatic residue (F990 in HlyA) is not resolved (Bumba et al., 2016). Consequently, we performed an in silico analysis of those five additional substrates. As shown in Figure 7, all five RTX proteins contained an amphipathic α-helix and a flanking aromatic residue. Obviously, five examples of substrates of sub-family 2 T1SS are not sufficient to make a real significant statement, but these results suggest that the ‘amphipathic α-helix/aromatic residue’ motif might be a general feature of sub-family 2 T1SS and also impose a sort of substrate selectivity. Overall, we propose that the presence and bending of the amphipathic α-helix combined with a C-terminally flanking aromatic residue triggers an early step in substrate secretion. Eventually it even constitutes the initial trigger to assemble the continues channel across the periplasm, through which HlyA is transported in one-step into the extracellular space.
Data Availability Statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation. SAXS data were uploaded to the Small Angle Scattering Biological Data Bank (SASBDB) (Kikhney et al., 2020), with the accession codes SASDM67.
Author Contributions
LS and SS conceived and directed this study. SP, KK, and IE conducted the expression and protein purification. SP performed the hemolytic assays. ML determined the secretion rates. JR generated the SAXS model of HlyA. OS and KK conducted the bioinformatic analyses. MM and BL performed the single particle cryo-EM experiments including data evaluation. OS, IE, KK, JR, SS, and LS wrote the manuscript. All authors read and approved the manuscript.
Conflict of Interest
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.
Publisher’s Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Acknowledgments
We are indebted to I. Barry Holland for a longstanding and fruitful collaboration. We acknowledge the European Synchrotron Radiation Facility for provision of synchrotron radiation facilities and we would like to thank Petra Pernot for assistance in using beamline BM29, as well as the whole EMBL Outstation Grenoble Team. We thank Iris Frey for support in cloning, and all members of the Institute of Biochemistry for the stimulating and helpful discussions.
Footnotes
Funding
This work was supported by the Deutsche Forschungsgemeinschaft (DFG, CRC 1208 project A01 to LS) and the Manchot Graduate School “Molecules of Infections” to LS. The Center for Structural studies was funded by the DFG (Grant numbers 417919780 and INST 208/761-1 FUGG to SS). BL and MM were supported by ERC advanced award (742210).
References
- Bakkes P. J., Jenewein S., Smits S. H., Holland I. B., Schmitt L. (2010). The rate of folding dictates substrate secretion by the Escherichia coli hemolysin type 1 secretion system. J. Biol. Chem. 285 40573–40580. 10.1074/jbc.M110.173658 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Baumann U., Wu S., Flaherty K. M., McKay D. B. (1993). Three-dimensional structure of the alkaline protease of Pseudomonas aeruginosa: a two-domain protein with a calcium binding parallel beta roll motif. EMBO J. 12 3357–3364. 10.1002/j.1460-2075.1993.tb06009.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- Bumba L., Masin J., Macek P., Wald T., Motlova L., Bibova I., et al. (2016). Calcium-Driven folding of RTX domain beta-rolls ratchets translocation of RTX proteins through type i secretion ducts. Mol. Cell 62 47–62. 10.1016/j.molcel.2016.03.018 [DOI] [PubMed] [Google Scholar]
- Chervaux C., Holland I. B. (1996). Random and directed mutagenesis to elucidate the functional importance of helix II and F-989 in the C-terminal secretion signal of Escherichia coli hemolysin. J. Bacteriol. 178 1232–1236. 10.1128/jb.178.4.1232-1236.1996 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Combet C., Blanchet C., Geourjon C., Deleage G. (2000). NPS@: network protein sequence analysis. Trends Biochem. Sci. 25 147–150. 10.1016/s0968-0004(99)01540-6 [DOI] [PubMed] [Google Scholar]
- Curtis-Fisk J., Spencer R. M., Weliky D. P. (2008). Native conformation at specific residues in recombinant inclusion body protein in whole cells determined with solid-state NMR spectroscopy. J. Am. Chem. Soc. 130 12568–12569. 10.1021/ja8039426 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Felmlee T., Pellett S., Welch R. A. (1985). Nucleotide sequence of an Escherichia coli chromosomal hemolysin. J. Bacteriol. 163 94–105. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Fischer H., Neto M. D., Napolitano H. B., Polikarpov I., Craievich A. F. (2010). Determination of the molecular weight of proteins in solution from a single small-angle X-ray scattering measurement on a relative scale. J. Appl. Crystallogr. 43 101–109. [Google Scholar]
- Gray L., Mackman N., Nicaud J. M., Holland I. B. (1986). The carboxy-terminal region of haemolysin 2001 is required for secretion of the toxin from Escherichia coli. Mol. Gen. Genet. 205 127–133. 10.1007/BF02428042 [DOI] [PubMed] [Google Scholar]
- Guinier A. (1939). Small-angle X-ray diffraction: application to the study of ultramicroscopic phenomena. Ann. Phys. 12 161–237. [Google Scholar]
- Gygi D., Nicolet J., Frey J., Cross M., Koronakis V., Hughes C. (1990). Isolation of the Actinobacillus pleuropneumoniae haemolysin gene and the activation and secretion of the prohaemolysin by the HlyC, HlyB and HlyD proteins of Escherichia coli. Mol. Microbiol. 4 123–128. 10.1111/j.1365-2958.1990.tb02021.x [DOI] [PubMed] [Google Scholar]
- Hagemans D., Van Belzen I. A., Moran Luengo T., Rudiger S. G. (2015). A script to highlight hydrophobicity and charge on protein surfaces. Front. Mol. Biosci. 2:56. 10.3389/fmolb.2015.00056 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hajizadeh N. R., Franke D., Jeffries C. M., Svergun D. I. (2018). Consensus Bayesian assessment of protein molecular mass from solution X-ray scattering data. Sci. Rep. 8:7204. 10.1038/s41598-018-25355-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Highlander S. K., Engler M. J., Weinstock G. M. (1990). Secretion and expression of the Pasteurella haemolytica Leukotoxin. J. Bacteriol. 172 2343–2350. 10.1128/jb.172.5.2343-2350.1990 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Holland I. B., Peherstorfer S., Kanonenberg K., Lenders M., Reimann S., Schmitt L. (2016). Type I protein secretion-deceptively simple yet with a wide range of mechanistic variability across the family. EcoSal Plus 7 1–46. 10.1128/ecosalplus.ESP-0019-2015 [DOI] [PubMed] [Google Scholar]
- Hui D., Ling V. (2002). A combinatorial approach toward analyzing functional elements of the Escherichia coli hemolysin signal sequence. Biochemistry 41 5333–5339. 10.1021/bi011425g [DOI] [PubMed] [Google Scholar]
- Hui D., Morden C., Zhang F., Ling V. (2000). Combinatorial analysis of the structural requirements of the Escherichia coli hemolysin signal sequence. J. Biol. Chem. 275 2713–2720. 10.1074/jbc.275.4.2713 [DOI] [PubMed] [Google Scholar]
- Jarchau T., Chakraborty T., Garcia F., Goebel W. (1994). Selection for transport competence of C-terminal polypeptides derived from Escherichia coli hemolysin: the shortest peptide capable of autonomous HlyB/HlyD-dependent secretion comprises the C-terminal 62 amino acids of HlyA. Mol. Gen. Genet. 245 53–60. 10.1007/BF00279750 [DOI] [PubMed] [Google Scholar]
- Jones H. E., Holland I. B., Baker H. L., Campbell A. K. (1999). Slow changes in cytosolic free Ca2+ in Escherichia coli highlight two putative influx mechanisms in response to changes in extracellular calcium. Cell Calcium 25 265–274. 10.1054/ceca.1999.0028 [DOI] [PubMed] [Google Scholar]
- Jumper J., Evans R., Pritzel A., Green T., Figurnov M., Ronneberger O., et al. (2021). Highly accurate protein structure prediction with AlphaFold. Nature 596 583–589. 10.1038/s41586-021-03819-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Jumpertz T., Chervaux C., Racher K., Zouhair M., Blight M. A., Holland I. B., et al. (2010). Mutations affecting the extreme C terminus of Escherichia coli haemolysin A reduce haemolytic activity by altering the folding of the toxin. Microbiology 156 2495–2505. 10.1099/mic.0.038562-0 [DOI] [PubMed] [Google Scholar]
- Kanonenberg K., Schwarz C. K., Schmitt L. (2013). Type I secretion systems - a story of appendices. Res. Microbiol. 164 596–604. 10.1016/j.resmic.2013.03.011 [DOI] [PubMed] [Google Scholar]
- Kelley L. A., Mezulis S., Yates C. M., Wass M. N., Sternberg M. J. (2015). The Phyre2 web portal for protein modeling, prediction and analysis. Nat. Protoc. 10 845–858. 10.1038/nprot.2015.053 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kenny B., Chervaux C., Holland I. B. (1994). Evidence that residues -15 to -46 of the haemolysin secretion signal are involved in early steps in secretion, leading to recognition of the translocator. Mol. Microbiol. 11 99–109. 10.1111/j.1365-2958.1994.tb00293.x [DOI] [PubMed] [Google Scholar]
- Kenny B., Taylor S., Holland I. B. (1992). Identification of individual amino acids required for secretion within the haemolysin (HlyA) C-terminal targeting region. Mol. Microbiol. 6 1477–1489. 10.1111/j.1365-2958.1992.tb00868.x [DOI] [PubMed] [Google Scholar]
- Kikhney A. G., Borges C. R., Molodenskiy D. S., Jeffries C. M., Svergun D. I. (2020). SASBDB: towards an automatically curated and validated repository for biological scattering data. Protein Sci. 29 66–75. 10.1002/pro.3731 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kim M. K., Kang Y. K. (1999). Positional preference of proline in alpha-helices. Protein Sci. 8 1492–1499. 10.1110/ps.8.7.1492 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Konarev P. V., Volkov V. V., Sokolova A. V., Koch M. H. J., Svergun D. I. (2003). PRIMUS: a Windows PC-based system for small-angle scattering data analysis. J. Appl. Crystallogr. 36 1277–1282. 10.1107/s0021889803012779 [DOI] [Google Scholar]
- Koronakis V., Koronakis E., Hughes C. (1989). Isolation and analysis of the C-terminal signal directing export of Escherichia coli hemolysin protein across both bacterial membranes. EMBO J. 8 595–605. 10.1002/j.1460-2075.1989.tb03414.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- Kozin M. B., Svergun D. I. (2001). Automated matching of high- and low-resolution structural models. J. Appl. Crystallogr. 34 33–41. 10.1107/s0021889800014126 [DOI] [Google Scholar]
- Kuhnert P., Heyberger-Meyer B., Nicolet J., Frey J. (2000). Characterization of PaxA and its operon: a cohemolytic RTX toxin determinant from pathogenic Pasteurella aerogenes. Infect. immun. 68 6–12. 10.1128/IAI.68.1.6-12.2000 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lamiable A., Thevenet P., Rey J., Vavrusa M., Derreumaux P., Tuffery P. (2016). PEP-FOLD3: faster de novo structure prediction for linear peptides in solution and in complex. Nucleic Acids Res. 44 W449–W454. 10.1093/nar/gkw329 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Lenders M. H., Beer T., Smits S. H., Schmitt L. (2016). In vivo quantification of the secretion rates of the hemolysin A Type I secretion system. Sci. Rep. 6:33275. 10.1038/srep33275 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Linhartova I., Bumba L., Masin J., Basler M., Osicka R., Kamanova J., et al. (2010). RTX proteins: a highly diverse family secreted by a common mechanism. FEMS Microbiol. Rev. 34 1076–1112. 10.1111/j.1574-6976.2010.00231.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mackman N., Baker K., Gray L., Haigh R., Nicaud J. M., Holland I. B. (1987). Release of a chimeric protein into the medium from Escherichia coli using the C-terminal secretion signal of haemolysin. EMBO J. 6 2835–2841. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Manalastas-Cantos K., Konarev P. V., Hajizadeh N. R., Kikhney A. G., Petoukhov M. V., Molodenskiy D. S., et al. (2021). ATSAS 3.0: expanded functionality and new tools for small-angle scattering data analysis. J. Appl. Crystallogr. 54 343–355. 10.1107/S1600576720013412 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Masure H. R., Au D. C., Gross M. K., Donovan M. G., Storm D. R. (1990). Secretion of the Bordetella pertussis adenylate cyclase from Escherichia coli containing the hemolysin operon. Biochemistry 29 140–145. 10.1021/bi00453a017 [DOI] [PubMed] [Google Scholar]
- Meier R., Drepper T., Svensson V., Jaeger K. E., Baumann U. (2007). A calcium-gated lid and a large beta-roll sandwich are revealed by the crystal structure of extracellular lipase from Serratia marcescens. J. Biol. Chem. 282 31477–31483. 10.1074/jbc.M704942200 [DOI] [PubMed] [Google Scholar]
- Mol A. R., Castro M. S., Fontes W. (2018). NetWheels: a web application to create high quality peptide helical wheel and net projections. bioRxiv [Preprint]. 10.1101/416347 [DOI] [Google Scholar]
- Nicaud J. M., Mackman N., Gray L., Holland I. B. (1986). The C-terminal, 23 kDa peptide of E. coli haemolysin 2001 contains all the information necessary for its secretion by the haemolysin (Hly) export machinery. FEBS Lett. 204 331–335. 10.1016/0014-5793(86)80838-9 [DOI] [PubMed] [Google Scholar]
- Panjkovich A., Svergun D. I. (2017). CHROMIXS: automatic and interactive analysis of chromatography-coupled small angle X-ray scattering data. Bioinformatics 34 1944–1946. 10.1093/bioinformatics/btx846 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pernot P., Round A., Barrett R., De Maria Antolinos A., Gobbo A., Gordon E., et al. (2013). Upgraded ESRF BM29 beamline for SAXS on macromolecules in solution. J. Synchrotron Radiat. 20 660–664. 10.1107/S0909049513010431 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pernot P., Theveneau P., Giraud T., Fernandes R. N., Nurizzo D., Spruce D., et al. (2010). New beamline dedicated to solution scattering from biological macromolecules at the ESRF. J. Phys. 247:012009. 10.1088/1742-6596/247/1/012009 [DOI] [Google Scholar]
- Petoukhov M. V., Franke D., Shkumatov A. V., Tria G., Kikhney A. G., Gajda M., et al. (2012). New developments in the ATSAS program package for small-angle scattering data analysis. J. Appl. Crystallogr. 45 342–350. 10.1107/S0021889812007662 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Petoukhov M. V., Svergun D. I. (2005). Global rigid body modeling of macromolecular complexes against small-angle scattering data. Biophys. J. 89 1237–1250. 10.1529/biophysj.105.064154 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Petoukhov M. V., Svergun D. I. (2015). Ambiguity assessment of small-angle scattering curves from monodisperse systems. Acta Crystallogr. D Biol. Crystallogr. 71 1051–1058. 10.1107/S1399004715002576 [DOI] [PubMed] [Google Scholar]
- Porod G. (1951). Die Röntgenkleinwinkelstreuung Von Dichtgepackten Kolloiden Systemen - 1 Teil. Kolloid-Zeitschrift Zeitschrift Fur Polymere 124 83–114. 10.1007/bf01512792 [DOI] [Google Scholar]
- Rambo R. P., Tainer J. A. (2013). Accurate assessment of mass, models and resolution by small-angle scattering. Nature 496 477–481. 10.1038/nature12070 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Richardson J. S., Richardson D. C. (1988). Amino acid preferences for specific locations at the ends of alpha helices. Science 240 1648–1652. 10.1126/science.3381086 [DOI] [PubMed] [Google Scholar]
- Sanchez-Magraner L., Viguera A. R., Garcia-Pacios M., Garcillan M. P., Arrondo J. L., de la Cruz F., et al. (2007). The calcium-binding C-terminal domain of Escherichia coli alpha-hemolysin is a major determinant in the surface-active properties of the protein. J. Biol. Chem. 282 11827–11835. 10.1074/jbc.M700547200 [DOI] [PubMed] [Google Scholar]
- Sapay N., Guermeur Y., Deleage G. (2006). Prediction of amphipathic in-plane membrane anchors in monotopic proteins using a SVM classifier. BMC Bioinform. 7:255. 10.1186/1471-2105-7-255 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Shen Y., Maupetit J., Derreumaux P., Tuffery P. (2014). Improved PEP-FOLD approach for peptide and miniprotein structure prediction. J. Chem. Theory Comput. 10 4745–4758. 10.1021/ct500592m [DOI] [PubMed] [Google Scholar]
- Stanley P., Koronakis V., Hughes C. (1991). Mutational analysis supports a role for multiple structural features in the C-terminal secretion signal of Escherichia coli haemolysin. Mol. Microbiol. 5 2391–2403. 10.1111/j.1365-2958.1991.tb02085.x [DOI] [PubMed] [Google Scholar]
- Stanley P., Packman L. C., Koronakis V., Hughes C. (1994). Fatty acylation of two internal lysine residues required for the toxic activity of Escherichia coli hemolysin. Science 266 1992–1996. 10.1126/science.7801126 [DOI] [PubMed] [Google Scholar]
- Svergun D. I. (1992). Determination of the regularization parameter in indirect-transform methods using perceptual criteria. J. Appl. Crystallogr. 25 495–503. 10.1107/s0021889892001663 [DOI] [Google Scholar]
- Svergun D. I., Petoukhov M. V., Koch M. H. (2001). Determination of domain structure of proteins from X-ray solution scattering. Biophys. J. 80 2946–2953. 10.1016/S0006-3495(01)76260-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Thevenet P., Shen Y., Maupetit J., Guyon F., Derreumaux P., Tuffery P. (2012). PEP-FOLD: an updated de novo structure prediction server for both linear and disulfide bonded cyclic peptides. Nucleic Acids Res. 40 W288–W293. 10.1093/nar/gks419 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Thomas S., Bakkes P. J., Smits S. H., Schmitt L. (2014a). Equilibrium folding of pro-HlyA from Escherichia coli reveals a stable calcium ion dependent folding intermediate. Biochim. Biophys. Acta 1844 1500–1510. 10.1016/j.bbapap.2014.05.006 [DOI] [PubMed] [Google Scholar]
- Thomas S., Smits S. H., Schmitt L. (2014b). A simple in vitro acylation assay based on optimized HlyA and HlyC purification. Anal. Biochem. 464 17–23. 10.1016/j.ab.2014.07.001 [DOI] [PubMed] [Google Scholar]
- Thompson S. A., Sparling P. F. (1993). The RTX cytotoxin-related FrpA protein of Neisseria meningitidis is secreted extracellularly by meningococci and by HlyBD+ Escherichia coli. Infect. immun. 61 2906–2911. 10.1128/iai.61.7.2906-2911.1993 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Vernon R. M., Chong P. A., Tsang B., Kim T. H., Bah A., Farber P., et al. (2018). Pi-Pi contacts are an overlooked protein feature relevant to phase separation. Elife 7:e31486. 10.7554/eLife.31486 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wasmer C., Benkemoun L., Sabate R., Steinmetz M. O., Coulary-Salin B., Wang L., et al. (2009). Solid-state NMR spectroscopy reveals that E. coli inclusion bodies of HET-s(218-289) are amyloids. Angew Chem. Int. Ed. Engl. 48 4858–4860. 10.1002/anie.200806100 [DOI] [PubMed] [Google Scholar]
- Welch R. A. (2001). RTX toxin structure and function: a story of numerous anomalies and few analogies in toxin biology. Curr. Topics Microbiol. Immunol. 257 85–111. 10.1007/978-3-642-56508-3_5 [DOI] [PubMed] [Google Scholar]
- Yin Y., Zhang F., Ling V., Arrowsmith C. H. (1995). Structural analysis and comparison of the C-terminal transport signal domains of hemolysin A and leukotoxin A. FEBS Lett. 366 1–5. 10.1016/0014-5793(95)00454-h [DOI] [PubMed] [Google Scholar]
- Zimmermann L., Stephens A., Nam S. Z., Rau D., Kubler J., Lozajic M., et al. (2018). A Completely reimplemented mpi bioinformatics toolkit with a new hhpred server at its core. J. Mol. Biol. 430 2237–2243. 10.1016/j.jmb.2017.12.007 [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation. SAXS data were uploaded to the Small Angle Scattering Biological Data Bank (SASBDB) (Kikhney et al., 2020), with the accession codes SASDM67.