ABSTRACT
Resistance to macrolide antibiotics is a global concern in the treatment of Streptococcus pyogenes (group A Streptococcus [GAS]) infections. In Iceland, since the detection of the first macrolide-resistant isolate in 1998, three epidemic waves of macrolide-resistant GAS infections have occurred, with peaks in 1999, 2004, and 2008. We conducted whole-genome sequencing of all 1,575 available GAS macrolide-resistant clinical isolates of all infection types collected at the national reference laboratory in Reykjavik, Iceland, from 1998 to 2016. Among 1,515 erythromycin-resistant isolates, 90.3% were of only three emm types, emm4 (n = 713), emm6 (n = 324), and emm12 (n = 332), with each being predominant in a distinct epidemic peak. The antibiotic efflux pump genes, mef(A) and msr(D), were present on chimeric mobile genetic elements in 99.3% of the macrolide-resistant isolates of these emm types. Of note, in addition to macrolide resistance, virtually all emm12 isolates had a single amino acid substitution in penicillin-binding protein PBP2X that conferred a 2-fold increased penicillin G and ampicillin MIC among the isolates tested. We conclude that each of the three large epidemic peaks of macrolide-resistant GAS infections occurring in Iceland since 1998 was caused by the emergence and clonal expansion of progenitor strains, with macrolide resistance being conferred predominantly by inducible Mef(A) and Msr(D) drug efflux pumps. The occurrence of emm12 strains with macrolide resistance and decreased beta-lactam susceptibility was unexpected and is of public health concern.
INTRODUCTION
Streptococcus pyogenes (group A Streptococcus [GAS]) is an important human pathogen that globally is among the top 10 infectious causes of human mortality, causing over 700 million infections and almost 520,000 deaths annually (1, 2). GAS causes a wide spectrum of diseases ranging from prevalent uncomplicated mild infections such as pyoderma (111 million cases/year) and pharyngitis (616 million cases/year) to relatively infrequent severe life-threatening invasive infections such as necrotizing fasciitis/myositis and sepsis (663,000 cases/year causing 163,000 deaths/year) (1, 2). GAS produces a myriad of extracellular virulence factors that contribute to adhesion, degradation and breaching of tissue barriers, subversion and evasion of host innate and adaptive immune defenses, and systemic intoxication, among many other pathogenic processes (3–5). Among these, the Emm/M protein encoded by the emm gene is a major virulence factor with multiple functions, including promoting adherence to human epithelial cells and inhibiting phagocytosis in the absence of opsonizing antibodies (6). The M protein is the primary surface antigen eliciting the human immune response. Diversification in the first 180 nucleotides of the emm gene encoding the hypervariable amino terminus of the M protein is the basis for emm typing, the most commonly used epidemiological marker of S. pyogenes strain lineages (7). There are over 250 S. pyogenes emm types listed in the CDC emm database as of 11 September 2019 (8). Importantly, there is no licensed vaccine to prevent S. pyogenes infections (9).
Beta-lactam antibiotics that inhibit peptidoglycan synthesis are the primary antibacterial treatment for S. pyogenes infections, and despite over 75 years of use, no penicillin-resistant clinical isolate has been reported (10, 11). However, two recent studies reporting reduced in vitro susceptibility to β-lactam antibiotics among clinical isolates are of concern (12, 13). Macrolides are secondary alternative antibiotics recommended for individuals allergic to penicillin. Macrolides, and the mechanistically similar lincosamides and streptogramins, inhibit protein translation through binding interactions with the ribosome. Because of drug synergism and the potential benefits of inhibiting extracellular protein/toxin production, combination antibiotic therapy of a beta-lactam and a lincosamide (e.g., penicillin and clindamycin) is recommended for severe invasive S. pyogenes infections. In S. pyogenes, there are two principal mechanisms for acquired macrolide resistance, target site modification, and active efflux (14, 15). Target site modification is mediated by erythromycin rRNA methylases, predominantly Erm(B) and Erm(TR), which methylate the 23S rRNA and block antibiotic binding to the ribosome. This modification provides resistance to macrolides, lincosamides, and streptogramin B and confers the MLSB resistance phenotype. Active efflux is mediated by proton-dependent membrane-associated pumps that transport 14- and 15-membered macrolides out of the bacterial cell (but not 16-membered macrolides, lincosamides, or streptogramins), conferring the M resistance phenotype. Although the macrolide efflux activity was initially attributed to Mef(A) (16), recent mef(A) and msr(D) gene knockout and knock-in experiments demonstrate that Msr(D) is the functionally predominant macrolide efflux transporter in S. pyogenes strains of multiple emm types (17, 18). Macrolide resistance genes are not part of the GAS core chromosome but are acquired and encoded largely on a diverse set of integrative conjugative elements and chimeric mobile genetic elements (MGE), such as those formed by the integration of an ARG-encoding transposon into a prophage (19–22). Resistance to macrolides at low frequency can also spontaneously arise via mutations in the 23S rRNA and in ribosomal proteins L4 and L22, encoded by genes rplD and rplV, respectively (14).
Since the first reports of macrolide-resistant GAS in England in the late 1950s (23), resistance has disseminated worldwide, and its prevalence has been reported to vary profoundly geographically (i.e., between countries/regions at a point in time) and temporally (i.e., in the same country/region over time) (15, 24). In many instances, an increase in the prevalence of resistant isolates clearly corresponded with increased antibiotic usage, consistent with the influence of antibiotic selective pressure (25). However, in some cases, precipitous changes in resistance prevalence have occurred in association with a change in the predominant GAS clone or mechanism of resistance but independent of any perceived change in antibiotic usage (26). In Iceland, erythromycin susceptibility testing was performed on at least 100 GAS isolates per year, and the first macrolide-resistant isolate was not detected until early 1998. Over the next year, the monthly proportion of macrolide-resistant GAS precipitously increased from 0% in March 1998 to 56% in March 1999 (27). Among 367 erythromycin-resistant GAS isolates collected through July 1999, 99% were M resistance phenotype. T-antigen typing of 30 isolates collected from July to December 1998 revealed 3 T-types, T8 (73%), T6 (17%), and T28 (10%). Among 67 isolates compared by SfiI restriction pulsed-field gel electrophoresis (PFGE), 58 had the same banding pattern (27). The finding that the majority of the isolates were T8 and of a single PFGE pattern suggested that the 1999 epidemic wave was likely mono- or pauci-clonal in nature. Of note, over the same time frame (c.a. 1998 to 2001), a significant increase in macrolide-resistant GAS also occurred in Spain (28) and in Toronto, Canada (29). A second modest peak of increased macrolide-resistant GAS in Iceland occurred in 2004, followed by a third, larger and rapidly arising peak in 2008 (30). Here, we present whole-genome sequencing-based molecular epidemiological characterization of all available S. pyogenes erythromycin-resistant isolates (n = 1,515) collected in Iceland from 1995 to 2016. Emphasis is placed on the three predominant emm types (4, 6, and 12) causing the three successive epidemic peaks of macrolide-resistant infections.
MATERIALS AND METHODS
Bacterial isolates.A total of 15,217 GAS strains were isolated from patient specimens submitted to the Department of Clinical Microbiology, Landspitali University Hospital, from 1995 to 2016. The laboratory receives invasive (e.g., blood and cerebrospinal fluid [CSF]) isolates from the whole country and acts as the primary laboratory for other GAS cultures for about 75% of the country. Macrolide-resistant isolates were stored in glycerol broth at –85°C (invasive isolates) or –20°C (noninvasive isolates). The majority of the samples (∼60%) were collected from patients from the Reykjavík capital region. According to Iceland Statistics (hagstofa.is/en), the populations of Iceland and Reykjavík in 1995 were 267,809 and 158,597, respectively. In 2016, the population of Iceland was 332,529 and the population of the Reykjavík region was 209,500. Information regarding the 15,217 isolates (e.g., sample origin, geographic place of collection, date of collection, antibiotic susceptibility, patient residence, and patient age and gender) was recorded in the Laboratory Information System at the Department of Clinical Microbiology. Since 1998, all GAS detected in the department have been collected and stored frozen. Isolates, except those from urine samples, were tested for erythromycin susceptibility using the disk diffusion method based on CLSI criteria (31), and after June 2012, based on methods and criteria from EUCAST (32). Isolates were considered to be the same strain if they were collected twice or more ≤7 days apart from the same patient. When antibiotic-resistant susceptibilities were inconsistent between isolates taken from the same patient, the isolate from the more invasive infection sample was used. Isolates were grown on tryptic soy agar with 5% sheep blood (Benton Dickson) or with 5% horse blood (Oxoid) at 37°C and 5% CO2.
Whole-genome sequencing.All viable GAS isolates that tested resistant to the macrolide antibiotic erythromycin (n = 1,575) within the collection were sent to the Center for Molecular and Translational Human Infectious Diseases Research, Department of Pathology and Genomic Medicine, Houston Methodist Research Institute (Houston, Texas) for whole-genome sequencing. Genomic DNA extraction and multiplexed library preparation were performed as previously described (33). Paired-end, 150-nucleotide-long sequencing reads were obtained using an Illumina NextSeq 500 sequencer. Sequence data preprocessing (i.e., artifact and adapter trimming, quality filtering, and base call error correction) and de novo assembly for each isolate were done as previously described (33).
Initial genetic typing and gene content profiling.The multilocus sequence type (MLST), emm type, and antibiotic resistance gene content were determined for each isolate from the sequencing reads relative to publicly available reference databases using SRST2 software (34) as previously described (33). Mobile genetic element typing was determined relative to a published database of S. pyogenes phage and integrating conjugative element (ICE)-encoded integrase and virulence factor genes using SRST2 as previously described (35). The pbp2x gene was identified in and retrieved from isolate genome assemblies using blastn and bedtools-getfasta, respectively.
Polymorphism discovery.Sequence reads were mapped to relevant reference sequences using SMALT (https://www.sanger.ac.uk/tool/smalt-0/), and polymorphisms between the aligned reads and the reference sequences were identified using FreeBayes (36). Polymorphisms were filtered on the basis of call consensus (≥70%), mapped quality (≥Q30), and coverage depth (≥10-fold) using VCFlib (www.github.com/ekg/vcflib#vcflib). Specifically, for emm4 isolates, core chromosomal single nucleotide polymorphisms (SNPs) were called relative to the genome of strain MGAS10750 (20), emm6 isolates to MGAS10394 (19), and emm12 isolates to MGAS9429 (20). SNPs were annotated, and the effects of variants were predicted using SnpEff (37). Polymorphisms in the chimeric elements encoding mef(A) and msr(D) among emm4, emm6, and emm12 strains were called relative to Φ29862, Φ29961, and Φ29854, respectively.
Phylogenetic inference and population structure.Concatenated SNP sequences used for evaluation of genetic relationships among isolates were generated using Prephix and Phrecon (www.github.com/codinghedgehog). To limit phylogenetic inferences to primarily vertically inherited core chromosomal SNPs, mobile genetic element (phage and ICE)-encoded regions were excluded and regions of horizontal transfer and recombination were identified and excluded using Gubbins (38). Phylogeny among isolates was inferred with the neighbor-joining method using SplitsTree (39), and phylograms were generated with Dendroscope (40). Genetic distances among the isolates were calculated using MEGA7 (41).
Construction of isogenic strain with the PBP2X-Met593Thr variant.Strain MGAS27213-L601P,M593T was constructed from MGAS27213-L601P by allelic exchange using previously described methods with modifications (42). Overlap extension PCR was used to introduce the Met593Thr substitution into pbp2x of MGAS27213-L601P. Primers pbp2x-5′fwd (CAATTGTACAAAACCGTTACGATCCAAG) and pbp2x-5′rev (TAGTAACATACATCAAAAAGTCTGGTTTATC) were used to amplify the pbp2x 5′ end. Primers pbp2x-T593-3′fwd (CTTTTTGATGTATGTTACTACGACTAAACCAC) and pbp2x-3′rev (GTGAATACATATCAGTATTTGTGGGTCATC) were used to amplify the pbp2x 3′ end, introducing a single A to C nucleotide change in pbp2x codon 593. Primers pBBL740-fwd (GTAACGGTTTTGTACAATTGCTAGCGTAC) and pBBL740-rev (AAATACTGATATGTATTCACGAACGAAAATC) were used to amplify and linearize suicide plasmid pBBL740 by inside-out PCR. The pbp2x 5′-end and 3′-end amplicons were spliced with the linearized pBBL740 amplicon using a NEBuilder HiFi kit (New England Biolabs). The resultant spliced plasmid was transformed into parental strain MGAS27213-L601P, and single crossover transformants were selected by plating on Todd-Hewitt broth supplemented with yeast extract (THY) agar with 10 μg/ml chloramphenicol. Transformants were screened by genomic DNA PCR amplification and Sanger sequencing using primers pbp2x-5′-fwd and pbp2x-seq (GATGTCTCACCAGGATTCTTTC). Ten confirmed single crossover transformants were pooled, expanded by outgrowth, and then passaged eight times on THY agar plates without chloramphenicol to promote double crossover resolution. Chloramphenicol-sensitive isolates were identified by duplicate plating and screened for the pbp2x-Thr593 allelic exchange by PCR amplification and Sanger sequencing. The resultant candidate MGAS27213-L601P,M593T-derived strains were whole-genome sequenced to confirm the lack of spontaneous spurious mutations.
Data availability.Genomic sequencing data for all 1,515 macrolide/erythromycin-resistant isolates were deposited into the National Center for Biotechnology Information Sequence Read Archive under BioProject accession number PRJNA614628, and the assembled sequences for composite elements Φ29854, Φ29862, and Φ29961 were deposited in GenBank under accession numbers MT311967, MT303952, and MT311968, respectively.
RESULTS
Epidemiological surveillance.In Iceland, 15,217 beta-hemolytic group A carbohydrate antigen-positive streptococcal clinical isolates were detected from patients with noninvasive and invasive infections from 1995 to 2016 (Fig. 1). The majority of the isolates, 10,010 (66%), were from the upper respiratory tract, nearly all (95%) of which were from the throat. Of the 15,217 isolates, 1,806 (11,9%) were macrolide resistant, 1,515 (83.9%) of which were stored and viable upon retrieval. Isolation sites included upper respiratory tract (n = 1,137, 75.0%), skin/wound (n = 214, 14.1%), middle ear (n = 92, 6.1%), lower respiratory tract (n = 24, 1.6%), abscess (n = 21, 1.4%), blood (n = 11, 0.7%), and other 16, n = 1.1%). The proportion of available macrolide-resistant isolates per year ranged from 35.2% for 2003 to 98.0% for 1999 (Fig. 1).
Annual incidence of positive GAS cultures at the Landspitali University Hospital from 1995 to 2016. The proportion of erythromycin-susceptible and -resistant isolates are colored as indicated. The annual percentage of erythromycin-resistant isolates is provided.
No macrolide-resistant GAS isolate was identified until July 1998. Following this, resistant isolates rapidly increased in proportion to a peak of 47.2% of isolates in 1999. Resistant isolates gradually declined in proportion to 5.0% in 2002. A second more modest increase in the proportion of resistant isolates peaked at 19.9% in 2004. A third peak of resistance rose to 44.9% of GAS isolates in 2008 (Fig. 1).
Whole-genome sequencing genetic characterization.To genetically characterize the cohort, all 1,575 available viable erythromycin-resistant GAS isolates were whole-genome sequenced to an average 214-fold depth of coverage (range, 18 to 1,859×) using Illumina paired-end sequencing. Based on the sequence data, 60 of the isolates were excluded from the investigation for reasons such as the isolate not being S. pyogenes, being a duplicate, or being contaminated. The retained 1,515 erythromycin-resistant S. pyogenes isolates and their epidemiological and genetic characteristics are listed in Table S1 in the supplemental material. Sequence reads for the isolates assembled on average into 67 contigs summing to 1.82 Mbp with a G+C content of 38.4%, values which are consistent with closed genomes of S. pyogenes.
The 1,515 macrolide-resistant isolates comprised 27 emm types (Table S1 and Fig. 2). Three emm types, emm4 (n = 713, 47.1%), emm12 (n = 332, 21.9%), and emm6 (n = 324, 21.4%), account for the majority of the isolates (n = 1,369, 90.4%). Analysis of the epidemic curve by emm type shows that the first wave (years 1998 to 2001) of macrolide-resistant isolates was composed predominantly of emm4 (74%) with some emm12 (24%). The second wave (years 2004 to 2005) was composed predominantly of emm12 (68%) with some emm75 (17%). And the third wave (years 2007 to 2008) was composed predominantly of emm6 (91%).
Annual incidence of erythromycin-resistant isolates with the number and proportion of emm types. Isolate proportions are colored by emm type as indicated. The inset pie chart illustrates the 1,515 erythromycin-resistant isolates proportioned by emm type. The five most prevalent emm types shown (4, 12, 6, 11, and 75 in decreasing order) account for 94% of the isolates.
Analysis of the antibiotic resistance gene (ARG) content of the cohort identified 17 different ARGs that were present in 21 different combinations (Table 1). One or more ARG were detected in 1,471 (97.1%) of the isolates, and no macrolide-resistant gene was found in 44 isolates of 13 different emm types (Table S1). Previous publications have shown that emm types 4, 6, 12, and 75 are commonly associated with macrolide resistance. The most prevalent combination of macrolide resistance genes was mef(A) and msr(D), conferring the M resistance phenotype, which was found in 1,369 (90.4%) isolates. Virtually all isolates (1,359/1,369, 99.3%) of the three most prevalent emm types (4, 6, and 12) encode mef(A) and msr(D) (Fig. 3). Reciprocally, virtually all (1,359/1,369, 99.3%) isolates carrying mef(A) and msr(D) in the cohort are of emm types 4, 6, or 12. The erm(B) gene was found in 69 (4.6%) isolates (43/69 = emm types 11 and 75), and the erm(TR) gene was found in 30 (2.0%) isolates (20/30 = emm77). Thus, 99 (6.5%) of the isolates have an erythromycin rRNA methylase gene conferring the MLSB phenotype. No isolate was found that encoded both a macrolide efflux and an erythromycin resistance methylase gene.
Antibiotic resistance genes and profiles
Antibiotic resistance genes and their proportions according to emm type, colored as indicated. The six most prevalent ARG content combinations account for 98.5% of the 1,515 erythromycin-resistant isolates.
Phylogenetic relationships.Within an emm type, the macrolide-resistant mef(A)- and msr(D)-carrying isolates are closely genetically related, consistent with the isolates arising from clonal expansion of a recent common progenitor (Fig. 4). The mef(A)- and msr(D)-carrying emm4 (n = 709), emm6 (n = 322), and emm12 (n = 327) isolates across the 1.7-Mbp core chromosome differed pairwise on average by only 11.3, 9.2, and 20.8 SNPs, respectively. For each of these emm types, the few erythromycin-resistant isolates that lacked any detectable ARGs were more genetically distant from the mef(A)- and msr(D)-carrying isolates and appear to represent infrequent sporadic spontaneous resistant mutants.
Genetic relationships among erythromycin-resistant isolates. Illustrated at the same scale are trees for the three most prevalent emm types, which account for 90.3% of the 1,515 detected erythromycin-resistant isolates. Isolates that carry mef(A) and msr(D) are shown with circles, and isolates that do not are shown with squares. Closely related clonal isolates carrying mef(A) and msr(D) are enclosed within dotted lines. The isolates are colored by year of detection as indicated. (A) Phylogeny inferred for emm4 isolates. (B) Phylogeny inferred for emm12 isolates. (C) Phylogeny inferred for emm6 isolates.
To investigate the context of the mef(A) and msr(D) genes within the isolate genomes, the de novo-assembled contigs of the emm type 4, 6, and 12 isolates were searched using BLASTn. For each of these emm types, the mef(A) and msr(D) genes were found adjacently encoded on transposon Tn1207.1 inserted into a phage forming a composite MGE like that first described for Φ10394.4 of macrolide-resistant emm6 strain MGAS10394 (19, 43). These elements were all found integrated at the same site in the genome disrupting the comEC gene. Full-length de novo assemblies of the mef(A)- and msr(D)-carrying MGEs were obtained from emm4 strain MGAS29862 (Φ29862; 52,479 bp, 57 coding DNA sequences [CDSs]), emm6 strain MGAS29961 (Φ29961; 57,866 bp, 57 CDSs), and emm12 strain MGAS29854 (Φ29854; 52,542 bp, 58 CDSs). The sequences of these elements share a high degree of identity (>98%) with each other and with Φ10394.4 (Fig. S1).
Accurately detecting SNPs in phages in the S. pyogenes genome is problematic, as most isolates are polylysogenic, which frequently causes cross-mapping of reads and erroneous overcalling of SNPs in phage. Despite this, mapping the whole-genome sequencing reads of the erythromycin-resistant isolates to the mef(A)- and msr(D)-carrying MGEs detected relatively few SNPs. The 709 emm4 isolates differed pairwise by 0.4 SNPs determined relative to Φ29862, the 322 emm6 isolates by 4.6 SNPs relative to Φ29961, and 326/328 (99%) emm12 isolates by 0.95 SNPs relative to Φ29854. The finding that the isolates of the same emm type have mef(A)- and msr(D)-carrying composite MGEs that are nearly sequence invariant is again consistent with the macrolide-resistant isolates stemming from recent clonal expansions.
Comparison of S. pyogenes genomes has identified strain-to-strain differences in MGE content stemming from the dynamic gain and loss of ICEs and phages as the largest source of genetic diversity. As a third measure of relatedness, the MGE content of the isolates was assessed by sequence read mapping relative to a database of known S. pyogenes MGE-encoded integrases (n = 31) and virulence factors (n = 19). This comparison process generates a 50-allele present/absent genotype. Among the 322 erythromycin-resistant emm6 isolates, 309 (96%) have the same inferred MGE content (Table S2), as do 309 of the 327 (95%) emm12 isolates. Among the 709 erythromycin-resistant emm4 isolates, 690 (97%) have the same inferred MGE-encoded virulence factor content, although they differed more extensively in the detected MGE integrase gene content. Results of the analysis of MGE-encoded gene content was consistent with the SNP data for the core chromosome and the mef(A)- and msr(D)-carrying composite MGEs. Our data demonstrate that the erythromycin-resistant emm type 4, 6, and 12 isolates are within their respective emm types, each closely genetically related, consistent with the isolates of each emm type stemming from recent clonal expansions.
Potential for altered beta-lactam antibiotic susceptibility.Recently, it was shown that many S. pyogenes clinical isolates with nonsynonymous (amino acid substituting) nucleotide changes in the penicillin-binding protein 2X gene (pbp2x) are associated with reduced susceptibility in vitro to one or more members of the beta-lactam family of antibiotics (12, 13). Among the 1,515 macrolide-resistant isolates, 25 pbp2x alleles encoding 10 PBP2X variants were identified (Table S3). Although the pbp2x allele differed from one emm type to another, virtually no allelic variation in pbp2x was found within an emm type for the cohort. That is, in terms of pbp2x allele/PBP2X variants, 712/713 emm4 isolates have the same pbp2x allele/PBP2X variant, 324/324 emm6 isolates are the same, and 327/332 emm12 isolates are the same. The emm4 isolates have the consensus PBP2X wild-type (WT) sequence that is most prevalent among S. pyogenes isolates of multiple emm types (12, 44, 45). The PBP2X variant of all 324 emm6 isolates have three substitutions (Ile502Val, Pro676Ser, and Lys708Glu), and 327/332 emm12 isolates have a single substitution (Met593Thr) relative to the PBP2X WT 751-amino acid sequence. This lack of pbp2x sequence diversity is again consistent with emm type 4, 6, and 12 macrolide-resistant isolates stemming from recent clonal expansions.
The susceptibility to penicillin G, ampicillin, and erythromycin of the three predominant PBP2X variants present in the emm 4, 6, and 12 isolates was tested for five isolates of each emm type (Table 2). The isolates were selected to represent the temporal spread of each emm type corresponding with the three peaks of macrolide-resistant infections. All five emm4 isolates having the PBP2X WT variant were fully susceptible to the beta-lactam antibiotics penicillin G and ampicillin. Despite the five emm6 isolates having a PBP2X variant with three amino acid substitutions relative to the PBP2X WT, they were also fully susceptible to the beta-lactam antibiotics. In contrast, all five emm12 isolates with a Met593Thr substitution PBP2X variant had approximately 2-fold increased MICs for both penicillin G and ampicillin. To unambiguously determine if the PBP2X Met593Thr substitution alters beta-lactam susceptibility, we constructed an isogenic PBP2X Thr593 substitution derivative using the parental strain MGAS27213-PBP2X-L601P (12). Importantly, whole-genome sequencing confirmed that the constructed derivative strain, MGAS27213-PBP2X-L601P,M593T, only differs from the parent strain by a single nucleotide change in codon 593 (ATG to CTG) of pbp2x. As anticipated, the parental strain had fully susceptible PBP2X WT penicillin G and ampicillin MIC levels. In contrast, the isogenic PBP2X Met593Thr derivative had 2-fold increased MICs (Table 2). All 15 of the emm4, emm6, and emm12 isolates encoding mef(A) and msr(D) were erythromycin resistant, and both the parental and PBP2X Met593Thr derivative strains were erythromycin susceptible.
Antibiotic MICs
DISCUSSION
Macrolide-resistant GAS first appeared in Iceland in 1998 and has for most years since been relatively rare, with a yearly incidence typically below 5%. This contrasts with three rapid increases reaching peaks in 1999 (47.2%), 2004 (19.9%), and 2008 (44.9%). These peaks suggested clonal epidemics, now confirmed in this study. The first wave (1998 to 2001) was composed predominantly of emm4 (74%), the second (2004 to 2005) of emm12 (68%), and the third (2007 to 2008) of emm6 (91%). The peaks did not coincide with significant changes in either the type or amount of macrolide consumed over the year preceding the peaks. This suggests that GAS clones can spread rapidly in populations where herd immunity may be low to that particular clone, decline in numbers as herd immunity increases, and be replaced by another newly emerging clone. The results presented here should not be interpreted as macrolide consumption having had no effect on the three epidemic peaks or, alternatively, that significant changes in macrolide usage are not necessary for there to be significant changes in the prevalence of macrolide-resistant GAS infections and the predominant clone causing such infections. Similar results showing a lack of correspondence between macrolide consumption and occurrence of macrolide-resistant GAS isolates in Portugal have been reported, where a decline in erythromycin resistance was associated with the disappearance of isolates belonging to an emm3-ST315 lineage and yet accompanied by a high consumption of macrolides (26).
The short time between the emergence in Iceland of the first erythromycin-resistant emm4 isolates in 1998 and the first emm12 isolates in 2000 (Fig. 1), with both contributing to the first macrolide-resistant epidemic wave (1998 to 2001), and the similarity in gene content and synteny of the mef(A)- and msr(D)-carrying elements in these emm types (Fig. S1), raises the possibility that the emergence events are directly related. That is, it is possible that the emm12 lineage progenitor arose through recent horizontal acquisition of the mef(A) and msr(D) composite MGE directly from an Icelandic emm4 donor. Alignment of emm4 Φ29862 with emm12 Φ29854 revealed a difference of 668 SNPs. The several hundred-fold greater numbers of SNPs identified for the mef(A) and msr(D) composite MGE inter-emm type versus intra-emm type (<1 SNP pairwise) is inconsistent with the hypothesis of a recent emm4 to emm12 transmission event and argues for emergence of macrolide-resistant emm4 and emm12 lineages into Iceland not being directly related.
Another possibility is that the emergence and expansion of the macrolide-resistant emm types contributing to the three epidemic waves that occurred in Iceland from 1998 to 2008 was driven by changes in antibiotic usage. Antimicrobial consumption of macrolides in Iceland was fairly constant from 1997 to 2009, with mean annual outpatient usage ranging from 1.85 defined daily doses per 1,000 inhabitants per day in 1998 to 1.25 in 2009 (46). Over this period, there was a gradual decrease in the use of short-acting macrolides (i.e., erythromycin) and a corresponding increase in the use of intermediate-acting (i.e., clarithromycin) and long-acting (i.e., azithromycin) macrolides, but no year-to-year dramatic shifts occurred (Fig. S2). The detected macrolide-resistant S. pyogenes isolates increased 12.8-fold from 1998 to 1999 (from 34 to 434 isolates, nearly all emm4) and increased 4.3-fold from 2007 to 2008 (from 65 to 281 isolates, nearly all emm6). The lack of any substantial change in macrolide usage corresponding with these dramatic increases in detected macrolide-resistant isolates is inconsistent with the emergence and expansion being driven by antibiotic selective pressure.
Although beta-lactam susceptibility testing was not done for all of the Iceland macrolide-resistant emm12 isolates, it is likely that all 327 isolates that have the PBP2X Met593Thr amino acid substitution have reduced beta-lactam susceptibility with ∼2-fold increased MICs for penicillin G and ampicillin. This idea is supported by the findings that there were 2-fold increased penicillin G and ampicillin MICs for the five tested emm12 isolates temporally spread over the first (1999) and second (2004) peaks of macrolide-resistant infections and that the isogenic PBP2X Met593Thr substitution in the emm89 genetic background that demonstrated this single nonsynonymous A to C nucleotide change in pbp2x/single amino acid Met to Thr change in PBP2X is sufficient to increase penicillin G and ampicillin MICs 2-fold. It needs to be made clear that none of the isolates tested had MICs meeting the in vitro definition for penicillin or ampicillin resistance (EUCAST clinical breakpoint tables v10.0: benzylpenicillin resistant, >0.25 μg/ml). It is noteworthy that the PBP2X Met593Thr substitution is (along with the PBP2X Pro601Leu [12, 47]) only the second PBP2X amino acid change to be experimentally proven to reduce S. pyogenes beta-lactam susceptibility. A molecular understanding of how the PBP2X Met593Thr change alters beta-lactam susceptibility requires further investigation and would be aided by determination of an S. pyogenes PBP2X crystallographic structure.
One prevailing argument for why all bacteria have not evolved/acquired polymorphisms conferring resistance to any given antibiotic is that such resistance mutations result in organisms that are of reduced fitness in an environment that lacks that antibiotic (48–51). In such an environment, bacteria with fitness-reducing resistance mutations are, over time, out-competed by more fit, susceptible bacteria and consequently become less prevalent/go extinct in the population. To our knowledge, the identification in Iceland of the closely genetically related 327 emm12 macrolide-resistant isolates is the largest population identified of S. pyogenes clinical isolates with a PBP2X substitution conferring reduced beta-lactam susceptibility that are clearly recent clonally related descendants. Given that most of the isolates in this cohort come from pharyngitis patients, this indicates that S. pyogenes strains with some beta-lactam susceptibility-altering mutations in pbp2x are sufficiently fit to be readily transmitted and cause abundant pharyngitis. This finding contradicts the recent analysis of Hayes et al. (45) of PBPs among 9,667 GAS isolates, which found that “while heavy antibiotic selective pressure may select for mutations in the PBPs, there currently is no evidence of such mutations becoming fixed in the S. pyogenes population.”
The identification of a large number of naturally occurring GAS strains with mef(A) and msr(D) M phenotype macrolide resistance, in conjunction with a pbp2x nonsynonymous mutation producing a peptidoglycan synthesis transpeptidase (PBP2X) that confers reduced beta-lactam susceptibility, is concerning given that beta-lactams and macrolides are the first and second antibiotics of choice for treating S. pyogenes infections. Such strains are potentially stepping stones along the evolutionary path to true beta-lactam-resistant GAS. The use of either beta-lactam or macrolide antibiotics could provide the selective environment that favors the survival of such strains, increasing the opportunity for the incremental accumulation of additional resistance-enhancing polymorphisms. This emphasizes the need for beta-lactam susceptibility monitoring of GAS and the need for a vaccine to prevent GAS infections.
ACKNOWLEDGMENTS
This study was supported in part by the Fondren Foundation, Houston Methodist Hospital and Research Institute, and National Institutes of Health grants AI139369 and AI146771 (to J.M.M.).
FOOTNOTES
- Received 3 April 2020.
- Returned for modification 19 May 2020.
- Accepted 4 June 2020.
- Accepted manuscript posted online 10 June 2020.
Supplemental material is available online only.
- Copyright © 2020 Southon et al.
This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.
