Literature DB >> 24810745

Resistance to β-lactam antibiotics conferred by point mutations in penicillin-binding proteins PBP3, PBP4 and PBP6 in Salmonella enterica.

Song Sun1, Maria Selmer2, Dan I Andersson1.   

Abstract

Penicillin-binding proteins (PBPs) are enzymes responsible for the polymerization of the glycan strand and the cross-linking between glycan chains as well as the target proteins for β-lactam antibiotics. Mutational alterations in PBPs can confer resistance either by reducing binding of the antibiotic to the active site or by evolving a β-lactamase activity that degrades the antibiotic. As no systematic studies have been performed to examine the potential of all PBPs present in one bacterial species to evolve increased resistance against β-lactam antibiotics, we explored the ability of fifteen different defined or putative PBPs in Salmonella enterica to acquire increased resistance against penicillin G. We could after mutagenesis and selection in presence of penicillin G isolate mutants with amino-acid substitutions in the PBPs, FtsI, DacB and DacC (corresponding to PBP3, PBP4 and PBP6) with increased resistance against β-lactam antibiotics. Our results suggest that: (i) most evolved PBPs became 'generalists" with increased resistance against several different classes of β-lactam antibiotics, (ii) synergistic interactions between mutations conferring antibiotic resistance are common and (iii) the mechanism of resistance of these mutants could be to make the active site more accessible for water allowing hydrolysis or less binding to β-lactam antibiotics.

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Year:  2014        PMID: 24810745      PMCID: PMC4014608          DOI: 10.1371/journal.pone.0097202

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

The bacterial peptidoglycan, a three-dimensional, net-like mesh, is the major constituent of the cell wall [1]. Penicillin-binding proteins (PBPs) are a family of enzymes that are responsible for the polymerization of the glycan strand and the cross-linking between glycan chains [2]. These proteins are referred as PBPs due to their ability to bind to β-lactam antibiotics [3], [4] and based on their molecular weights, PBPs can be classified into two groups: low molecular weight PBPs and high molecular weight PBPs, each of which is subdivided into three classes based on amino-acid sequence similarities [5]. The penicillin-binding domains of PBPs function as DD-transpeptidases, which catalyze the final step of cell wall biosynthesis by cross-linking two strands of peptidoglycan, or DD-peptidases, which remove the C-terminal D-alanine from the peptidoglycan [2], [6]. Usually, these enzymes are acyl-serine transferases that catalyze their reactions by employing an active-site serine moiety as a nucleophile to attack the acyl-D-Ala-D-Ala portion of the peptidoglycan [3], [6]. These reactions are mediated by three specific functional motifs: SXXK, (S/Y)XN and (K/H)(S/T)G [5], [6]. The resistance-causing β-lactamases of class A, C and D contain the same three specific functional motifs and also employ an active-site serine residue to turn over β-lactam antibiotics [5], [7]. In terms of the reaction with β-lactam antibiotics, for both PBPs and β-lactamases, in the first acylation step, the active-site serine attacks the β-lactam ring present in these antibiotics forming a covalent acyl-enzyme complex. The second deacylation step is very fast with β-lactamases but extremely slow with PBPs [5]. Sequence, structural and catalytic analyses suggest that serine β-lactamases evolved from the more ancient PBPs [8]–[11] and several studies have shown that some PBPs display β-lactamase activity [12]–[15]. Previously, β-lactamase activity of a PBP subjected to point mutations or protein engineering based on the structural comparison of these two groups of enzymes [15]–[17] has been demonstrated. However, studies to date have not systematically examined the potential of all PBPs present in one organism to evolve resistance towards β-lactams by increasing β-lactamase activity. Another, better defined, mechanism by which alterations in a PBP could confer resistance is by lowering the affinity of the drug to the active site, allowing the DD-transpeptidase activity to proceed without inhibition in presence of the drug. This mechanism has been described for several PBPs and is a common resistance towards β-lactam antibiotics in, for example, Streptococcus penumoniae [7], [18]. In this work, we explored the ability of fifteen different defined or putative PBPs in Salmonella enterica var Typhimurium LT2 to evolve increased resistance against penicillin-G. Salmonella enterica var Typhimurium LT2 is one Salmonella serovar that belongs to the S. enterica subsp. enterica subspecies and it will be referred as Salmonella typhimurium throughout the text. After screening of the fitness effect of PBP overexpression, seven PBPs, overexpression of which did not confer any significant fitness cost, were subject to two different directed evolution strategies. After constructing and cloning the mutagenesis libraries into the Salmonella typhimurium LT2 strains, for three PBPs, FtsI, DacB and DacC, corresponding to PBP3, PBP4 and PBP6, respectively, we isolated mutants with increased resistance against penicillin G. Our result suggest that PBPs can after only a few amino-acid substitutions confer increased resistance against many types of β-lactam antibiotics.

Materials and Methods

Construction of the Salmonella typhimurium expression plasmid pUCBAD-kan-PBP

The expression vector used in this study was constructed from pBAD30 [19]. pBAD30 is a tightly controlled expression vector regulated by the arabinose operon, for which the expression is induced by adding arabinose into the growth medium. Two-step modification of the original pBAD30 resulted in the plasmid pUCBAD-Kan where: i) the replication origin of pBAD30 was replaced with the pUC19 replication origin, which made pUCBAD-kan a high copy number plasmid, ii) the TEM-1 β-lactamase gene encoded in pUCBAD30 was replaced with the aminoglycoside 3′phosphotransferase (kanamycin-resistance) gene from pKD4. Based on the protein gene predictions and functional annotation of the Salmonella typhimurium LT2 genome [20], fifteen gene products were annotated as putative penicillin-binding proteins in Salmonella typhimurium LT2: ampH, dacA, dacB, dacC, dacD, mrcA, mrcB, mrdA, pbpC, pbpG, STM1836, STM1910, STM2478, ftsI, and yfeL. Gene predictions were performed using two microbial gene prediction tools, GeneMark (http://opal.biology. gatech.edu /GeneMark/) and Glimmer (http://www.cbcb.umd.edu/software/glimmer/), and functional annotation was performed by searching the predicted protein sequence against the protein family database, pfam (http://pfam.sanger.ac.uk/), the COG database [21], and the protein localization prediction software, PSORT [22] described in [20]. Each of these candidate PBP encoding genes was PCR-amplified from Salmonella typhimurium genomic DNA using a forward primer carrying an EcoRI or SmaI (for the ftsI gene) restriction enzyme site and a reverse primer containing an XbaI site. The PCR fragments were digested and cloned into pUCBAD-kan. The resulting plasmid, designated as pUCBAD-kan-PBP was then isolated and subsequently transformed into the Salmonella typhimurium LT2 strain. All primers used are listed in Table S1 in File S1.

Hydroxylamine mutagenesis

Two micrograms plasmid DNA was mixed with 100 µl 0.1 M phosphate buffer containing 1 mM EDTA (pH  = 6.0) and 80 µl hydroxylamine solution (0.35 g hydroxylamine hydrochloride, 0.56 ml 4 M NaOH, 4.5 ml H2O, pH  = 6.0, 1 mM EDTA) and incubated at 70°C for 120 minutes. Plasmid DNA was then purified from hydroxylamine using Fermentas GeneJET Gel Extraction Kit and subsequently electroporated into the Salmonella typhimurium LT2 strain.

Error prone PCR (ep-PCR) mutagenesis

Error prone PCR was performed on 30 ng template plasmid for 25 cycles using GeneMorph II Random Mutagenesis Kit from Agilent Technologies. To clone the libraries, 400 ng of digested PCR product was ligated to 400 ng of digested pUCBAD-Kan at 16°C overnight using T4 DNA ligase. The ligation mixture was purified with SureClean Kit (Bioline) and dissolved in 10 µl of water. The ligated DNA was transformed into MegaX DH10B T1R Electrocomp Cells (Life Technologies) by electroporation. All the MegaX DH10B T1R transformants were subsequently propagated for 24 hrs at 37°C in 20 ml LB medium with kanamycin. Plasmid DNA was prepared from the overnight culture and used to transform the Salmonella typhimurium LT2 strain by electroporation.

Selection and characterization of mutants

For both hydroxylamine and ep-PCR mutagenesis libraries constructed in the Salmonella typhimurium LT2 strain, ∼2×107 cells were plated on each of ten LB agar plates (∼2×106 cells on each plate) with kanamycin (50 mg/L), arabinose (2 mM) and increasing concentrations of penicillin-G (8, 12 and 16 mg/L), and incubated at 37°C for 48 hours. The resistant colonies were subsequently streaked onto the original selection plates and the plates lacking arabinose, and those clones surviving only on the original plates with arabinose were selected for further characterization as the arabinose induction dependent growth indicated that the resistance to β-lactam antibiotics was conferred by expression of the PBP encoding genes.

Determination of minimum inhibitory concentrations

The minimum inhibitory concentrations (MICs) of penicillin-G for all tested strains in this work were measured by macrobroth dilution test. A serial dilution of antibiotics were made in LB broth with kanamycin (50 mg/L) and arabinose (2 mM) dispensed in test tubes: penicillin-G (2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, 28, 30 mg/L); ampicillin (0.5, 1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5 mg/L); cephalothin (1, 1.5, 2, 2.5, 3, 3.5, 4, 4.5, 5, 6, 7, 8, 9, 10 mg/L); cefuroxime (2, 3, 4, 5, 6, 7, 9, 11, 13, 15, 18, 21, 23 mg/L); cefotaxime (0.025, 0.05, 0.075, 0.1, 0.125, 0.15, 0.175, 0.2 mg/L). The final volume in test tubes is 1 ml and the final inoculum size is 5×105 colony-forming units (cfu) ml−1. MIC was determined as the lowest concentration of antibiotic that inhibited growth of bacteria as assessed visually (no turbidity). Each MIC value reported is an average of two independent experiments performed in duplicate. Throughout the paper, resistance is defined as a significant reduction in drug susceptibility in the mutant as compared to the ancestral starting strain (i.e. resistance is not defined with regard to clinical breakpoints and the S, I, R system).

Site-directed mutagenesis

Site-directed mutagenesis was performed by using the Thermo Scientific Phusion Site-Directed Mutagenesis Kit according to manufacturer's instructions. The pUCBAD-kan::PBP(wt) plasmid was amplified using phosphorylated primers that introduce the desired changes followed by a quick ligation reaction. The resulting plasmid was then transformed into NEB 5-alpha competent E. coli cells (New England Biolabs). All primers used are listed in Table S1 in File S1.

Results and Discussion

Effect of PBP-encoding gene expression on fitness and penicillin-G susceptibility in Salmonella typhimurium

Fifteen genes encoding defined or putative PBPs in Salmonella typhimurium LT2 genome (ampH, dacA, dacB, dacC, dacD, mrcA, mrcB, mrdA, pbpC, pbpG, STM1836, STM1910, STM2478, ftsI, and yfeL) were cloned in the pUCBAD-kan vector and transformed into the Salmonella typhimurium LT2 strain as described in Materials and Methods. Since using bacterial strains with severe growth defect could lead to selection of mutants with improved growth instead of increased resistance against antibiotics, the fitness impact of PBP-overexpression was examined for the fifteen strains expressing a PBP gene from pUCBAD-kan plasmid by streaking them on LB agar plates containing 2 mM arabinose and 50 mg/L kanamycin followed by 24-hour incubation at 37°C. The fitness of a bacterial strain was assessed by colony size. Compared to the Salmonella typhimurium LT2 strain carrying the empty pUCBAD-kan plasmid, seven strains expressing the PBP genes (ampH, dacA, dacB, dacC, pbpC, pbpG and ftsI) from the plasmid did not exhibit any significant growth defect and were selected for further investigation. These seven strains and the control strain with the empty plasmid were grown overnight at 37°C in the presence of 2 mM arabinose and MICs of penicillin G were determined (Table 1). No significant increase in MIC of penicillin G was observed for the seven strains under arabinose induction as compared to the control strain.
Table 1

Genotypes and MICs of the strains carrying the wild type PBPs used.

Strain No. 1GenotypeMIC of penicillin-G (mg/L)
No inductionInduction (2mM arabinose)
DA16007Sty LT2/pucBAD-kan-ampH 55
DA16008Sty LT2/pucBAD-kan-dacA 56
DA16009Sty LT2/pucBAD-kan-dacB 56
DA16010Sty LT2/pucBAD-kan-dacC 56
DA16015Sty LT2/pucBAD-kan-pbpC 55
DA16016Sty LT2/pucBAD-kan-pbpG 55
DA16020Sty LT2/pucBAD-kan-ftsI 55
DA16006Sty LT2/pucBAD-kan44

Sty  =  Salmonella typhimurium.

Sty  =  Salmonella typhimurium.

Isolation and characterization of penicillin-G resistant Salmonella typhimurium transformants

A library of mutated PBP-carrying plasmid DNA was generated for each of the seven selected strains (each carrying one of the PBP-encoding genes ampH, dacA, dacB, dacC, pbpC, pbpG and ftsI in plasmid pUCBAD-kan) by hydroxylamine mutagenesis as described in Materials and Methods. These seven libraries of randomly mutagenized plasmids were then transformed into the Salmonella typhimurium LT2 strain and each of the resulting libraries (designated as the library ampH_HM, dacA_HM, dacB_HM, dacC_HM, pbpC_HM, pbpG_HM and ftsI_HM) contained ∼104 transformants. Variants with increased resistance against penicillin-G were selected from each library on LA plates supplemented with penicillin-G (8 and 12 mg/L) and 2mM arabinose. To determine whether the expression of the PBP variant was responsible for the increased resistance, resistant colonies were restreaked on LA plates containing the same concentrations of penicillin-G as used for selection with or without 2 mM arabinose. Fourteen clones, among which nine, one and four were selected from the libraries ftsI_HM, dacB_HM, and dacC_HM respectively, exhibited arabinose-dependent resistance against penicillin-G. Only from clones where growth was dependent on presence of arabinose, the plasmids were transformed to new cells followed by determination of the MICs against penicillin-G. The nine tranformants carrying the ftsI gene showed ∼2–3 fold increased resistance against penicillin G whereas the resistance level of the other five transformants carrying the dacB or dacC gene was indistinguishable from the strain expressing the corresponding wild PBP gene (Table 2). The ribosome binding site and coding region of the corresponding PBP genes were sequenced for these fourteen resistant transformants. Three different single amino-acid substitutions in the FtsI protein were identified for the nine resistant tranformants isolated from the ftsI_HM library and no mutations were found in the dacB and dacC genes for the other five transformants (Table 2).
Table 2

MICs of Penicillin-G and identified mutations for transformants with increased resistance.

Strain No.Mutant PBPsMutagenesis strategy 1MIC of Penicillin G (mg/L)Relative MIC fold change 2Identified mutations in PBPs
DA17021FtsIHydroxylamine122.4P311S
DA17023FtsIHydroxylamine132.6V545I
DA17025FtsIHydroxylamine81.6V377I
DA20073FtsIep-PCR224.4V545I, N579K, Syn N324 (AAC->AAT)
DA20075FtsIep-PCR244.8V545I, P50S
DA20078FtsIep-PCR142.8P311S, A49V, I159V
DA19904DacCep-PCR132.2M369L, Syn V374 (GTC->GTT), W384C
DA19906DacCep-PCR122S6Y, P199S, Syn A242 (GCT->GCA), Q365H, L368F
DA19908DacCep-PCR142.3F21L, S120T, Syn L330 (CTG->CTA)
DA19909DacCep-PCR162.7M45I, A104T, S147N, Syn S49 (AGC->AGT), Syn A141 (GCC->GCT)
DA19911DacCep-PCR132.2T92M, Syn D294 (GAC->GAT), G325W,
DA19912DacCep-PCR213.5Syn G116 (GGC->GGT), G146R, Syn L368 (TTA->TTG), M371I
DA20082DacBep-PCR101.7Syn A34 (GCC->GCT), M39V, V66E, P78L, Syn T85 (ACG->ACA), Syn T110 (ACG->ACA), Syn L123 (CTG->TTG) G127C, W151Stop, T157M, V192M, Syn S194 (TCT->TCG), T278M, Syn L298 (CTG->TTG), I318T, N350I, T351P, G356D, Syn R402 (CGC->CGG), A403T, Q455L, Y474Stop
DA20084DacBep-PCR81.3M1R, Q114L, K147Stop, R205Q, D312V, M371I

MIC values were determined under 2 mM arabinose induction.

Syn  =  synonymous mutations.

MIC values were determined under 2 mM arabinose induction. Syn  =  synonymous mutations. For the arabinose-dependent mutants isolated from the dacB_HM and dacC_HM libraries, the resistance was probably conferred by overexpression of the wild type PBP gene combined with other chromosomal mutations. Failure to isolate dacB or dacC variants conferring increased resistance against penicillin G was most likely due to the fact that more than one mutation is required to confer resistance and most PBP variants in the hydroxylamine generated libraries only contained one nucleotide change. To test this hypothesis, two mutagenesis libraries, designated dacB_epPCR and dacC_epPCR, were constructed by error prone PCR. The ribosome binding site and coding region of the dacB and dacC genes was amplified by error prone PCR at a 0.2% mutagenesis frequency. The amplified DNA was cloned into the pUCBAD-kan vector and the resulting library contained ∼2×106 transformants. From the dacB_epPCR and dacC_epPCR libraries, six and two transformants, respectively, with ∼2- to 4-fold increases in resistance against penicillin G were selected (Table 2). Multiple amino-acid substitutions were identified in each of these variants, which support our previous hypothesis that in dacB and dacC more than one mutation are required to confer resistance (Table 2). Since both resistant dacB variants generated truncated proteins with many mutations, these two variants were excluded from further analysis. To further explore the potential for the PBP ftsI to evolve increased resistance, two mutagenesis libraries, designated FtsI[P311S]_epPCR and FtsI[V545I]_epPCR, were constructed by performing error prone PCR on the two ftsI variants (FtsI[P311S] and FtsI[V545I]) that were isolated from the ftsI_HM library. The mutagenesis rate was estimated to be 0.2% and the resulting library contained ∼2×106 variants. One resistant transformant with two additional substitutions was isolated from the library FtsI[P311S]_epPCR and the resistance level was only slightly increased compared to the parental variant with the single substitution P311S. Two resistant transformants, each of which contained one additional substitution, were isolated from the library FtsI[V545I]_epPCR and the resistance against penicillin G was increased ∼2-fold compared to the parental variant with the single substitution V545I. Cross-resistance to four other β-lactam antibiotics was determined for six transformants selected from the ftsI-based libraries and six transformants selected from the dacC-based library (Table 3). In general, all tested tranformants showed increased resistance against the other four β-lactam antibiotics. The exception to this general trend was that the resistance level against cefotaxime for transformants selected from the ftsI-based libraries was only slightly increased or unchanged compared to the wild type strain.
Table 3

Relative MIC fold change of resistant transformants obtained from the FtsI-based libraries and the DacC-based library against five different β-lactam antibiotics.

Strain No.Mutant PBPsAmino acid substitutionsAntibiotics*
PGAMPCEXMCT
DA16010DacCWild type1.01.01.01.01.0
DA19904DacCM369L, W384C2.22.02.32.32.5
DA19906DacCS6Y, P199S, Q365H, L368F2.01.52.32.32.0
DA19908DacCF21L, S120T2.31.52.02.32.0
DA19909DacCM45I, A104T, S147N2.72.02.32.82.0
DA19911DacCT92M, G325W2.22.03.02.82.0
DA19912DacCG146R, M371I3.51.53.02.32.5
DA16020FtsIWild type1.01.01.01.01.0
DA17021FtsIP311S2.41.54.03.71.3
DA17023FtsIV545I2.61.51.32.30.7
DA17025FtsIV377I1.61.01.71.71.3
DA20073FtsIV545I, N579K4.43.55.33.71.7
DA20075FtsIV545I, P50S4.84.04.76.01.3
DA20078FtsIP311S, A49V, I159V2.82.03.04.01.3

*MIC values were determined under 2 mM arabinose induction.

Abbreviations for antibiotics: PG, penicillin G; AMP, ampicillin; CE, cephalothin; XM, cefuroxime; CT, cefotaxime.

*MIC values were determined under 2 mM arabinose induction. Abbreviations for antibiotics: PG, penicillin G; AMP, ampicillin; CE, cephalothin; XM, cefuroxime; CT, cefotaxime.

Effect of individual mutations on increased resistance

Since all the resistant variants selected from the libraries FtsI[P311S]_epPCR, FtsI[V545I]_epPCR, and DacC_epPCR contain multiple amino-acid substitutions, to examine the influence of each of these substitutions on the increased resistance, FtsI mutants N579K, P50S, A49V, and I159V and DacC mutants M369L, W384C, S6Y, P199S, Q365H, L368F, F21L, S120T, M45I, A104T, S147N, T92M, G325W, G146R and M371I were produced by site-directed mutagenesis as described in Materials and Methods. The resulting plasmid was then prepared from E. coli cells and transformed into the Salmonella typhimurium LT2 wild type strain. MIC against penicillin G was determined for each of these 19 strains (Table 4). The only reconstructed single mutant that showed increased MIC value against penicillin G was the DacC mutant W384C and the level of increased resistance for this single mutant was as high as for the DacC variant M369L/W384C. Therefore, the mutation M369L is likely to be a hitchhiker without contributing to the increased resistance against penicillin-G. All other single mutants exhibited a resistance level similar to the strain carrying the wild type PBP. This indicated that the increased penicillin-G resistance in all the variants isolated from the ep-PCR based mutagenesis libraries except the DacC variant M369L/W384 was due to a combinational effect of the amino acid substitutions identified in these variants and genetic interactions existed between the substitutions. Another possibility is that the single mutation variants (in contrast to the multiple amino acid substitutions mutants) are recessive to the wild type. It is noteworthy that only one mutation was identified from each of the three FtsI variants isolated from the ftsI_HM library and therefore these three mutations (P311S, V545I and V377I) alone could confer increased resistance.
Table 4

MICs of pencillin G for the reconstructed single mutants.

Strain No.Mutated PBPsSingle mutationMIC of penicillin-G* (mg/L)
DA16020FtsIWild type5
DA22042FtsIN579K6
DA22043FtsIP50S4
DA22044FtsIA49V4
DA22045FtsII159V4
DA16010DacCWild type6
DA25863DacCM369L4
DA25864DacCW384C12
DA25865DacCS6Y4
DA22046DacCP199S6
DA25866DacCQ365H4
DA25867DacCL368F4
DA25868DacCF21L4
DA22047DacCS120T4
DA22048DacCM45I6
DA22049DacCA104T4
DA22050DacCS147N6
DA22051DacCT92M6
DA25869DacCG325W4
DA22052DacCG146R4
DA25870DacCM371I4

*MIC values were determined under 2 mM arabinose induction.

*MIC values were determined under 2 mM arabinose induction.

Identification of domain locations of the mutations

Penicillin-binding protein PBP3, which is encoded by the ftsI gene, is a high molecular mass class B PBP involved in the cell septation [23], [24]. In Escherichia coli, PBP3 is composed of a membrane anchor (amino acids 1–56), an N-terminal so-called non-penicillin-binding (n-PB) domain (amino acids 57–236), a C-terminal penicillin-binding (PB) transpeptidase domain (amino acids 237–577) and a cleavable signal peptide (amino acids 578–588) [24]. There are three conserved motifs of the penicilloyl serine transferases in the C-terminal PB module: STVK (amino acids 307–310), SSN (amino acids 359–361) and KTG (amino acids 494–496). The most similar proteins with known structures are PBP3 from Pseudomonas aeruginosa (PDB 3OC2 [25]) and Acinetobacter baumanni (PDB 3UE3 [26]) and PBP2 from Neisseria gonorrhoeae (PDB 3EQU, 3EQV, [27]) that all share more than 40% sequence identity with the S. typhimurium PBP3 (Figure 1A), indicating that these proteins have similar overall structure. Penicillin-binding protein PBP6 encoded by the dacC gene is one of the two primary DD-carboxypeptidases in E. coli, which are involved in moderating the degree of cross-linking of the cell wall [28]. As a member of low molecular mass PBPs, PBP6 is composed of an N-terminal signal peptide (amino acids 1–27), a PB domain (amino acids 28–284), a C-terminal domain of unknown function (amino acids 285–387) and a membrane anchor (amino acids 379–400) [29]. The three conserved sites of the PB module are SLTK (amino acids 66–69), SGN (amino acids 132–134) and KTG (amino acids 235–237). The crystal structure of E. coli PBP6 displays 95% sequence identity to S. typhimurium PBP6 and has been solved as an acyl-enzyme intermediate with the antibiotic ampicillin or a peptidoglycan substrate fragment [29]. Structures are also available for PBP5 from E. coli and H. influenzae [30], [31] with 65% sequence identity to S. typhimurium PBP6 (Figure 1B). The PBP3 and PBP6 in Salmonella typhimurium display 96% and 93% sequence identity to the respective E. coli counterparts and have the same length (Figure S1AB in File S1). Therefore we assume that the structures of Salmonella typhimurium PBP3 and PBP6 are very similar to the E. coli counterparts.
Figure 1

Sequence alignments of S. enterica FtsI (A) and DacC (B) with PBPs with known structure.

Secondary structure is indicated above the alignment. Strictly conserved residues are shown in white on red background, residues with conserved physico-chemical properties are shown in red on white background. Mutation sites in this study are marked with asterisks below the alignment. The figure was prepared using ESPRIPT [34].

Sequence alignments of S. enterica FtsI (A) and DacC (B) with PBPs with known structure.

Secondary structure is indicated above the alignment. Strictly conserved residues are shown in white on red background, residues with conserved physico-chemical properties are shown in red on white background. Mutation sites in this study are marked with asterisks below the alignment. The figure was prepared using ESPRIPT [34]. The domain locations of the identified amino-acid substitutions in the resistant ftsI and dacC variants are shown in Figure 2. For the seven mutations identified from the ftsI variants, all the three first-step mutations, which were identified from the variants that were isolated from the hydroxylamine library, are located in the C-terminal PB domain that can catalyze acyl transfer reactions [32]. Among the other four second-step mutations identified from the variants that were isolated from the ep-PCR libraries, two are located in the membrane anchor-containing domain, one is located in the n-PB domain with an unknown function and one is located in signal peptide region. For the fifteen mutations identified from the dacC variants, twelve are located in the PB domain, two are located in the signal peptide region and one is located in the membrane anchor-containing domain.
Figure 2

Domain locations of identified amino acid substitutions in the FtsI (PBP3) and DacC (PBP6) variants that conferred resistance against penicillin G.

(A) Domain locations of mutations in PBP3. (B) Domain locations of mutations in PBP6. The three conserved sites of the PB module are shown. Mutations that, when present singly, confer resistance are indicated in bold.

Domain locations of identified amino acid substitutions in the FtsI (PBP3) and DacC (PBP6) variants that conferred resistance against penicillin G.

(A) Domain locations of mutations in PBP3. (B) Domain locations of mutations in PBP6. The three conserved sites of the PB module are shown. Mutations that, when present singly, confer resistance are indicated in bold.

Structural prediction and analysis

A sequence alignment of S. typhimurium PBP3 with the most similar PBP3s and PBP2 of known structure (Figure 1A) shows that among the mutation sites, P311 and V545 are conserved, while I159 and V377 are variable. Based on this alignment and analysis of the available structures, we could locate mutation sites and predict the effects of the single-site mutations P311S and V545I in PBP3 (Figure 3A). P311 is a conserved residue that follows right after the catalytic STVK motif, where it induces a small kink in helix α11 (numbering according to P. aeruginosa PBP3, Figure 3B), suggesting that the P311S mutation will lead to straightening of the helix. On both sides of the kink, the helix packs against six surrounding helices, and the P311S mutation may affect these contacts. V545 is located in helix α18 that packs against the KTG motif and contributes to the penicillin-binding site in P. aeruginosa PBP3. V545 points away from the active site and contacts side chains from β19 and α8. In this region of the protein, the aromatic Y541 (F531 in P. aeruginosa PBP3, Figure 3A) changes its conformation upon substrate binding and closes the penicillin-binding site through an interaction with V333. The effect of V545I may be similar to D345a and P551S mutants in PBP2 from N. gonorrhoeae [27] and V547I in FtsI from H. influenza [33]. These mutations all seem to make changes that could affect this “closing” interaction. The double-mutants V545I/P50S and V545I/N579K display a higher level of resistance, but there is no structural information for the additional mutation sites.
Figure 3

Location of mutation sites in known structures.

A. Structure of PBP3 from P. aeruginosa (in complex with carbenicillin, pdb entry 3OCL (27)) The N-terminal n-PB domain is shown in pink and the C-terminal PB domain in pale blue. Residues are named and numbered according to the S. typhimurium FtsI sequence, for non-conserved residues the equivalent residue in P. aeruginosa is shown within parentheses. Carbenicillin (magenta), the catalytic motifs 307STVK310, 359SSN361 and 494KS/TG496 (dark blue), residues equivalent to mutation sites in S. typhimurium DacC (gold, numbered) and residues V344 and Y541 are shown in spacefilling representation. B. P298 (yellow) creates a kink in helix α11 (cartoon and sidechains shown) that seems critical for interactions with the surrounding PB domain (surface representation). The STVK motif is shown in dark blue. C. Structure of PBP6 from E. coli (acyl-enzyme-intermediate with ampicillin, pdb entry [29]). The N-terminal PB domain is shown in pale blue and the C-terminal n-PB domain in pink. Residues are named and numbered according to the S. typhimurium DacC sequence, for non-conserved residues the equivalent residue in E. coli is shown within parentheses. Ampicillin (magenta), the catalytic motifs 66SLTK69, 132SGN134 and 235KTG237 (dark blue) and residues equivalent to mutation sites in S. typhimurium DacC (gold, numbered) are shown in spacefilling representation.

Location of mutation sites in known structures.

A. Structure of PBP3 from P. aeruginosa (in complex with carbenicillin, pdb entry 3OCL (27)) The N-terminal n-PB domain is shown in pink and the C-terminal PB domain in pale blue. Residues are named and numbered according to the S. typhimurium FtsI sequence, for non-conserved residues the equivalent residue in P. aeruginosa is shown within parentheses. Carbenicillin (magenta), the catalytic motifs 307STVK310, 359SSN361 and 494KS/TG496 (dark blue), residues equivalent to mutation sites in S. typhimurium DacC (gold, numbered) and residues V344 and Y541 are shown in spacefilling representation. B. P298 (yellow) creates a kink in helix α11 (cartoon and sidechains shown) that seems critical for interactions with the surrounding PB domain (surface representation). The STVK motif is shown in dark blue. C. Structure of PBP6 from E. coli (acyl-enzyme-intermediate with ampicillin, pdb entry [29]). The N-terminal PB domain is shown in pale blue and the C-terminal n-PB domain in pink. Residues are named and numbered according to the S. typhimurium DacC sequence, for non-conserved residues the equivalent residue in E. coli is shown within parentheses. Ampicillin (magenta), the catalytic motifs 66SLTK69, 132SGN134 and 235KTG237 (dark blue) and residues equivalent to mutation sites in S. typhimurium DacC (gold, numbered) are shown in spacefilling representation. Mutations in DacC occur in combinations of at least two different mutations. Despite the difficulty of predicting their combined effects, an analysis based on mainly the closely related E. coli PBP6 structure [29] gives some interesting hints. In the PB domain, there are mutation sites in two structured turns, G146 and S147 between α3 and α4 and P199 between α5 and α6. Mutations of these residues as well as mutation of M45 in β1 (involved in hydrophobic packing) may affect the tertiary domain structure and thereby the position of catalytic motifs with respect to each other. A104T is located in η3 that is followed by a loop that hydrogen bonds to the SGN motif and contributes to the substrate-binding pocket. T92M and S120T are surface exposed and the role is less clear. Notably, four of the DacC mutants have mutations in the C-terminal domain that forms a beta sandwich with unknown function and one of them is exclusively mutated in this domain and the membrane anchor. Several of these mutation sites (L368, M369, M371) are in the hydrophobic core of the domain, and mutations will likely have a de-stabilizing effect. T92M, S120T and Q365H will probably instead change the surface properties. Possibly, these mutations cause resistance through effects on interactions with other components; such a role of this domain has been suggested (13). A novel resistance mechanism was recently demonstrated in PBP2a from S. aureus. Its so-called n-PB domain was shown to be an allosteric beta-lactam-binding domain where resistance mutations at a far distance from the active site act through disturbing an allosteric site (Otero et al., PNAS 2013). More commonly, mutations in PBPs can lead to resistance by two different mechanisms. The first one involves lowering the affinity of the drug to the active site, allowing the DD-transpeptidase activity to proceed without inhibition in presence of the drug [7], [18]. The second variant is to evolve beta-lactamase activity, i.e. to catalyze the deacylation reaction where water as a nucleophile attacks the scissile bond between the enzyme and the beta-lactam [5]. For this reason, the active sites of beta-lactamases are more exposed to solvent and contain a catalytic residue that activates a water molecule for the nucleophilic attack. The proposed catalytic residues are located in loops at the active site or in the same helix as the reactive serine [17]. None of the mutations identified in PBP3 introduce a new catalytic residue in this region. However, as described in detail above, we predict that the mutations P311S and V545I induce a more open catalytic site, and we hypothesize that the effect of this is to increase the accessibility for water, and/or to lower the affinity to beta-lactam antibiotics. Figure S1AB, Amino acid sequence alignment of the PBP3 and PBP6 in E. coli and Salmonella typhimurium. (A) Alignment of the PBP3. (B) Alignment of the PBP6. Table S1, Oligonucleotide primers. (DOCX) Click here for additional data file.
  34 in total

1.  Evolutionary engineering of a beta-Lactamase activity on a D-Ala D-Ala transpeptidase fold.

Authors:  Mariana Peimbert; Lorenzo Segovia
Journal:  Protein Eng       Date:  2003-01

2.  Reactivity of penicillin-binding proteins with peptidoglycan-mimetic beta-lactams: what's wrong with these enzymes?

Authors:  Helen R Josephine; Paulette Charlier; Christopher Davies; Robert A Nicholas; R F Pratt
Journal:  Biochemistry       Date:  2006-12-01       Impact factor: 3.162

Review 3.  Molecular mechanisms of β-lactam resistance in Streptococcus pneumoniae.

Authors:  Regine Hakenbeck; Reinhold Brückner; Dalia Denapaite; Patrick Maurer
Journal:  Future Microbiol       Date:  2012-03       Impact factor: 3.165

4.  Complete genome sequence of Salmonella enterica serovar Typhimurium LT2.

Authors:  M McClelland; K E Sanderson; J Spieth; S W Clifton; P Latreille; L Courtney; S Porwollik; J Ali; M Dante; F Du; S Hou; D Layman; S Leonard; C Nguyen; K Scott; A Holmes; N Grewal; E Mulvaney; E Ryan; H Sun; L Florea; W Miller; T Stoneking; M Nhan; R Waterston; R K Wilson
Journal:  Nature       Date:  2001-10-25       Impact factor: 49.962

5.  Crystal structure of a deacylation-defective mutant of penicillin-binding protein 5 at 2.3-A resolution.

Authors:  C Davies; S W White; R A Nicholas
Journal:  J Biol Chem       Date:  2001-01-05       Impact factor: 5.157

6.  The COG database: new developments in phylogenetic classification of proteins from complete genomes.

Authors:  R L Tatusov; D A Natale; I V Garkavtsev; T A Tatusova; U T Shankavaram; B S Rao; B Kiryutin; M Y Galperin; N D Fedorova; E V Koonin
Journal:  Nucleic Acids Res       Date:  2001-01-01       Impact factor: 16.971

7.  Increase of the deacylation rate of PBP2x from Streptococcus pneumoniae by single point mutations mimicking the class A beta-lactamases.

Authors:  Laurent Chesnel; André Zapun; Nicolas Mouz; Otto Dideberg; Thierry Vernet
Journal:  Eur J Biochem       Date:  2002-03

8.  Polymorphism in ftsI gene and {beta}-lactam susceptibility in Portuguese Haemophilus influenzae strains: clonal dissemination of beta-lactamase-positive isolates with decreased susceptibility to amoxicillin/clavulanic acid.

Authors:  Ana Raquel Barbosa; Maria Giufrè; Marina Cerquetti; Maria Paula Bajanca-Lavado
Journal:  J Antimicrob Chemother       Date:  2011-01-25       Impact factor: 5.790

9.  Crystal structure of the 47-kDa lipoprotein of Treponema pallidum reveals a novel penicillin-binding protein.

Authors:  Ranjit K Deka; Mischa Machius; Michael V Norgard; Diana R Tomchick
Journal:  J Biol Chem       Date:  2002-08-24       Impact factor: 5.157

10.  Crystal structures of penicillin-binding protein 3 from Pseudomonas aeruginosa: comparison of native and antibiotic-bound forms.

Authors:  Sarah Sainsbury; Louise Bird; Vincenzo Rao; Sharon M Shepherd; David I Stuart; William N Hunter; Raymond J Owens; Jingshan Ren
Journal:  J Mol Biol       Date:  2010-10-23       Impact factor: 5.469

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  15 in total

1.  Bypass of genetic constraints during mutator evolution to antibiotic resistance.

Authors:  Alejandro Couce; Alexandro Rodríguez-Rojas; Jesús Blázquez
Journal:  Proc Biol Sci       Date:  2015-04-07       Impact factor: 5.349

2.  Targeting Multiple Aminoacyl-tRNA Synthetases Overcomes the Resistance Liabilities Associated with Antibacterial Inhibitors Acting on a Single Such Enzyme.

Authors:  Christopher P Randall; Dace Rasina; Aigars Jirgensons; Alex J O'Neill
Journal:  Antimicrob Agents Chemother       Date:  2016-09-23       Impact factor: 5.191

3.  Antimicrobial resistance and genetic background of non-typhoidal Salmonella enterica strains isolated from human infections in São Paulo, Brazil (2000-2019).

Authors:  Aline Parolin Calarga; Marco Tulio Pardini Gontijo; Luiz Gonzaga Paula de Almeida; Ana Tereza Ribeiro de Vasconcelos; Leandro Costa Nascimento; Taíse Marongio Cotrim de Moraes Barbosa; Thalita Mara de Carvalho Perri; Silvia Regina Dos Santos; Monique Ribeiro Tiba-Casas; Eneida Gonçalves Lemes Marques; Cleide Marques Ferreira; Marcelo Brocchi
Journal:  Braz J Microbiol       Date:  2022-04-21       Impact factor: 2.214

4.  Molecular characterization of antimicrobial resistance and enterobacterial repetitive intergenic consensus-PCR as a molecular typing tool for Salmonella spp. isolated from poultry and humans.

Authors:  María Paula Herrera-Sánchez; Roy Rodríguez-Hernández; Iang Schroniltgen Rondón-Barragán
Journal:  Vet World       Date:  2020-09-04

5.  Genetic markers associated with resistance to beta-lactam and quinolone antimicrobials in non-typhoidal Salmonella isolates from humans and animals in central Ethiopia.

Authors:  Tadesse Eguale; Josephine Birungi; Daniel Asrat; Moses N Njahira; Joyce Njuguna; Wondwossen A Gebreyes; John S Gunn; Appolinaire Djikeng; Ephrem Engidawork
Journal:  Antimicrob Resist Infect Control       Date:  2017-01-17       Impact factor: 4.887

6.  Cross-feeding modulates the rate and mechanism of antibiotic resistance evolution in a model microbial community of Escherichia coli and Salmonella enterica.

Authors:  Elizabeth M Adamowicz; Michaela Muza; Jeremy M Chacón; William R Harcombe
Journal:  PLoS Pathog       Date:  2020-07-20       Impact factor: 6.823

7.  Serotype-specific evolutionary patterns of antimicrobial-resistant Salmonella enterica.

Authors:  Jingqiu Liao; Renato Hohl Orsi; Laura M Carroll; Jasna Kovac; Hongyu Ou; Hailong Zhang; Martin Wiedmann
Journal:  BMC Evol Biol       Date:  2019-06-21       Impact factor: 3.260

Review 8.  Combining structure and genomics to understand antimicrobial resistance.

Authors:  Tanushree Tunstall; Stephanie Portelli; Jody Phelan; Taane G Clark; David B Ascher; Nicholas Furnham
Journal:  Comput Struct Biotechnol J       Date:  2020-10-29       Impact factor: 7.271

9.  Access to high-impact mutations constrains the evolution of antibiotic resistance in soft agar.

Authors:  Nour Ghaddar; Mona Hashemidahaj; Brandon L Findlay
Journal:  Sci Rep       Date:  2018-11-19       Impact factor: 4.379

10.  Chemical interplay and complementary adaptative strategies toggle bacterial antagonism and co-existence.

Authors:  Carlos Molina-Santiago; David Vela-Corcía; Daniel Petras; Luis Díaz-Martínez; Alicia Isabel Pérez-Lorente; Sara Sopeña-Torres; John Pearson; Andrés Mauricio Caraballo-Rodríguez; Pieter C Dorrestein; Antonio de Vicente; Diego Romero
Journal:  Cell Rep       Date:  2021-07-27       Impact factor: 9.423

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