Journal List > Ann Lab Med > v.40(5) > 1145804

Takahashi, Maeda, Lee, Lee, and Kim: Clonal Distribution of Clindamycin-Resistant Erythromycin-Susceptible (CRES) Streptococcus agalactiae in Korea Based on Whole Genome Sequences

Abstract

Background

The clindamycin-resistant erythromycin-susceptible (CRES) phenotype is rare in Streptococcus agalactiae (group B streptococci). We aimed to determine the molecular characteristics of CRES S. agalactiae using whole genome sequencing (WGS).

Methods

Sixty-six S. agalactiae isolates obtained from blood (N=26), cerebrospinal fluid (N=10), urine (N=17), and vaginal discharge (N=13) between 2010 and 2017 in Korea were subjected to WGS. Based on the WGS data, we analyzed antimicrobial resistance (AMR) determinants, sequence types (STs), capsular polysaccharide (CPS) genotypes, and virulence gene profiles, and constructed a phylogenetic tree. We included the clindamycin-susceptible erythromycin-resistant (CSER) phenotype for comparison.

Results

We identified seven CRES S. agalactiae isolates from urine (N=5) and vaginal discharge (N=2) collected between 2010 and 2011. All CRES isolates harbored AMR determinants of lnu(B), lsa(E), and aac(6′)-aph(2″), revealed ST19 and CPS genotype III, and had a virulence gene profile of rib-lmb-cylE. Phylogenetic tree analysis revealed that all CRES isolates belonged to the same cluster, suggesting a clonal distribution. In contrast, seven CSER isolates showed a diverse distribution and clustered separately from the CRES isolates.

Conclusions

CRES isolates collected between 2010 and 2011 showed a unique cluster with ST19 and CPS genotype III in Korea. This is the first report on WGS-based characteristics of S. agalactiae in Korea.

INTRODUCTION

Streptococcus agalactiae (group B β-hemolytic streptococci) can cause several invasive infections, including sepsis, infective endocarditis, septic arthritis, and meningitis, especially in neonates and the elderly [1, 2]. S. agalactiae infections are classified as invasive (blood, cerebrospinal fluid, joint fluid, pleural effusion, ascites, and closed pus) or non-invasive (urine and vaginal discharge) [3]. Multilocus sequence typing (MLST) for sequence type (ST) determination has been used to evaluate the clonal distribution or persistence of S. agalactiae from urine and vagina [3].
S. agalactiae possesses numerous virulence factors, including capsular polysaccharide (CPS), alpha and beta antigens of the surface-associated C protein, and the surface protein Rib. CPS is the most important virulence factor and is used for strain typing [4]. Alpha antigen of the surface-associated C protein (encoding gene bca) mediates adherence to the epithelium, whereas beta antigen of the surface-associated C protein (encoding gene bac) is involved in invasiveness and resistance to phagocytic clearance [5, 6]. Protein Rib (encoding gene rib), which exhibits resistance to proteases, confers protective immunity and is detected in most CPS III isolates, which cause severe infections in neonates [5]. lmb and cylE encode human laminin binding protein and beta-hemolysin, respectively.
There are two major phenotypes of macrolide resistance in streptococci: an MLSB phenotype is resistant to macrolides, lincosamides, and streptogramin B, and an M phenotype is resistant to macrolides, but not to lincosamides and streptogramin B [7]. The MLSB phenotype in streptococci can result from induced/constitutive expression of the antimicrobial resistance (AMR) determinants, erm(A) and erm(B), whereas the M phenotype can be caused by the mef(A) determinant [7]. In addition, an L phenotype exists, which is resistant to lincosamides, but not to macrolides [8]. The clindamycin-resistant erythromycin-susceptible (CRES) phenotype corresponds to the L phenotype [9].
The CRES phenotype (L phenotype) is rare in S. agalactiae. It has been described in clinical isolates from Korea and is caused by antimicrobial modification mediated by lnu(B) [10]. Members of the lnu gene family encode nucleotidyl transferase enzymes that catalyze the adenylation of lincomycin and clindamycin. The CRES phenotype is also mediated by two genes of the lsa gene family, namely lsa(C) and lsa(E), which encode ATP-binding proteins that have been classified as class 2 ATP-binding cassette transporters (antibiotics efflux pumps) [11]. While the overall frequency of this phenotype in S. agalactiae was quite low (65/21,186=0.31%), it had increased in 2014–2015 in the USA [11].
We aimed to determine the genetic characteristics of CRES S. agalactiae in Korea based on whole genome sequencing (WGS). To the best of our knowledge, this is the first report on WGS-based characteristics of S. agalactiae in Korea.

MATERIALS AND METHODS

Study design

S. agalactiae isolates collected between 2010 and 2017 were randomly selected from the repository at Gyeongsang National University Hospital (GNUH) in Gyeongnam Province, Korea. We included a total of 66 isolates: invasive isolates from blood (N=26) and cerebrospinal fluid (CSF) (N=10) as well as non-invasive isolates from urine (N=17) and vaginal discharge (N=13); repeated isolates from the same patients were excluded. Bacterial identification was conducted using a Vitek-2 automated identification system (bioMerieux Inc., Marcy l’Etoile, France). All isolates were stored at −70°C to −80°C before being processed for further evaluation.
Patients’ sex and age were obtained from the electronic medical records. In total, 66 patients with a median age of 50.5 years (range, 0–86 years), including 12 children, 54 adults, and 32 males (48.5%), were enrolled. The study protocol was approved by the Institutional Review Board of GNUH (approval number: GNUH 2016-03-010). Informed consent was waived because of the retrospective nature of the study.

Antimicrobial susceptibility testing (AST)

AST was conducted using 11 antimicrobial agents, including β-lactam, tetracycline, macrolide/lincosamide (ML), and fluoroquinolone, to evaluate AMR levels by the broth microdilution method using a Vitek-2 System and an ST-01 test kit (bioMerieux Inc.). CRES S. agalactiae was defined as having a minimum inhibitory concentration of >1 μg/mL for clindamycin and of <0.25 μg/mL for erythromycin. Seven isolates showed the CRES phenotype. We also included seven isolates showing the clindamycin-susceptible erythromycin-resistant (CSER) phenotype for comparison. In addition, we included 13 isolates that were clindamycin-resistant erythromycin-resistant, and 29 isolates that were clindamycin-susceptible erythromycin-susceptible. The seven CRES isolates were recovered from urine (N=5) and vaginal discharge (N=2) during a limited period (March 2010 to August 2011).
Bacterial identification and AST had been performed previously by routine microbiological procedures, whereas WGS and bioinformatics analysis had been conducted for this study.

WGS

S. agalactiae isolates were grown at 35°C in Todd-Hewitt broth (Becton Dickinson, Sparks, MD, USA) for 16–18 hours. Genomic DNA was extracted using the DNeasy Blood and Tissue Kit (Qiagen, Hilden, Germany) after pretreatment with lysozyme (Thermo Fisher Scientific, Waltham, MA, USA) and proteinase K (Qiagen) [12]. S. agalactiae isolates were identified by 16S rRNA gene sequencing with amplifying/sequencing primer set (27F: AGAGTTTGATCMTGGCTCAG and 1485R: TACGGTTACCTTGTTACGAC) developed in-house using an ABI 3730 DNA sequencing instrument (Applied Biosystems, Foster City, CA, USA). The sequencing library was prepared using a TruSeq DNA LT Sample Prep Kit (Illumina, San Diego, CA, USA) for the Illumina MiSeq system. Draft genome sequences of the isolates were determined based on 300-bp paired-end reads. Illumina sequencing data were assembled using SPAdes 3.13.0 (Algorithmic Biology Lab, St. Petersburg Academic University of the Russian Academy of Sciences). For gene-finding and functional annotation, we used the whole genome analysis pipeline of ChunLab (Seoul, Korea). Protein-coding DNA sequences were predicted using Prodigal 2.6.2 (https://github.com/hyattpd/Prodigal) [13].

AMR genotyping

AMR genotyping was conducted based on the contig sequences obtained using ResFinder version 3.2 (https://cge.cbs.dtu.dk/services/ResFinder/) managed by the Center for Genomic Epidemiology [14]. This tool can detect genes conferring resistance to β-lactams, macrolide, lincosamide, tetracycline, quinolone, oxazolidinone, sulfonamide/trimethoprim, glycopeptide, aminoglycoside, phenicol, fosfomycin, nitroimidazole, rifampicin, fusidic acid, and colistin. AMR genotypes were determined based on an identity threshold >90% and a minimum length of 60% as compared with the reference sequence in the database.

MLST

MLST (allelic profile: adhP–pheS–atr–glnA–sdhA–glcK–tkt) was conducted based on the contig sequences using the MLST server (https://cge.cbs.dtu.dk/services/MLST/) managed by the Center for Genomic Epidemiology [15]. The STs were grouped into clonal complexes (CCs), whereby related STs were classified as single-locus variants differing in only one housekeeping gene. An expansion of the goeBURST algorithm implemented in PHYLOViZ (http://www.phyloviz.net/) was used to produce a minimum-spanning tree representing possible relationships among the STs [16].

CPS genotyping

CPS genotyping and detection of the S. agalactiae-specific dltS gene were conducted based on the contig sequences by PCR simulation [17] in the online application, Serial Cloner (http://serialbasics.free.fr/Serial_Cloner.html). The CPS genotypes included Ia, Ib, II, III, IV, V, VI, VII, and VIII.

Virulence gene profiling

The presence of five virulence genes (bca-rib-bac-lmb-cylE) was determined based on the contig sequences by PCR simulation in Serial Cloner [1820]. Sequence identity of the virulence genes in all simulation PCR-positive strains was confirmed using the basic local alignment search tool (BLAST) (http://blast.ddbj.nig.ac.jp/blastn?lang=ja).

Phylogenetic tree analysis

A phylogenetic tree was constructed using Orthologous Average Nucleotide Identity Tool, which measures similarity among multiple genome sequences based on the OrthoANI algorithm and BLAST calculations, on EZBioCloud (https://www.ezbiocloud.net/tools/orthoani) [21].

Statistical analysis

We used Fisher’s exact probability tests (two-sided) to determine significant differences between CRES and CSER isolates using SPSS Statistics version 22.0 (IBM Corp., Armonk, NY, USA). P<0.05 indicated statistical significance.

RESULTS

We deposited the draft genome sequences of the 66 S. agalactiae isolates into the National Center for Biotechnology Information (NCBI) database (Table 1). The WGS of the S. agalactiae isolate NCTC8181 (accession number UAVB00000000) obtained from environmental milk was used as a reference genome. The number of contigs ranged from eight (for isolate GCH73) to 90 (for isolate GCH63).
The goeBURST diagram is shown in Fig. 1. All seven CRES isolates belonged to ST19 (CC19), suggesting a clonal distribution of the CRES isolates (Table 2), whereas the seven CSER isolates belonged to ST19 (CC19) (N=3), ST2/ST1 (CC2) (N=2), or ST23 (N=2).
All CRES isolates showed the lnu(B)-lsa(E) ML resistance genotype (Table 2). However, none of the CSER isolates possessed the lnu(B)-lsa(E) genotype (P=0.001). All CRES isolates showed the aac(6′)-aph(2″) aminoglycoside resistance genotype, whereas none of the CSER isolates did. All isolates did not show AMR genes for β-lactams, quinolone, oxazolidinone, sulfonamide/trimethoprim, glycopeptide, phenicol (except for cat[pC194] in isolate GCH2), fosfomycin, nitroimidazole, rifampicin, fusidic acid, and colistin.
All isolates possessed the dltS gene specific to S. agalactiae, validating species identification. All CRES isolates were CPS III, whereas the CSER isolates possessed diverse CPS types (Table 2).
All CRES isolates exhibited the rib-lmb-cylE profile (Table 2). The CSER isolates had a diverse virulence gene profile. There was a significant difference in the frequency of lnu(B)-lsa(E) or lsa(C) between invasive (N=6/36, 16.7%) and non-invasive (N=13/30, 43.3%, P=0.017) isolates. There was no difference in the frequency of lnu(B)-lsa(E) or lsa(C) between urine (N=9/17, 52.9%) and vaginal discharge (N=4/13, 30.8%, P=0.200).
The phylogenetic tree revealed that all CRES isolates belonged to the same group, whereas CSER isolates belonged to diverse groups, corroborating the clonal distribution of the CRES isolates (Fig. 2). The group distribution on the tree was in accordance with the CPS genotype distribution (e.g., Ia, Ib, III, V, and VIII).
The erm(B) sequence of the CRES isolate GCH61 in our study was compared with the previously registered sequence (738 bp) of S. agalactiae isolate KMP104 (RefSeq accession number DQ355148). This sequence (accession number LC512876) contained C222T (N74N), T224C (I75T), and A299G (N100S) nucleotide (amino acid) substitutions in addition to the insertion of an IS1216E element at nucleotide position 642, which resulted in the deletion of a segment spanning nucleotides 642–738 (97 bp) (Fig. 3).

DISCUSSION

Our study revealed that CRES isolates have unique features compared with CSER isolates, including their AMR genotype [lnu(B)-lsa(E) with aac(6′)-aph(2″)], ST19/CC19, CPS type III, virulence gene profile of rib-lmb-cylE, and in terms of cluster on the phylogenetic tree.
We searched for the presence of CRES S. agalactiae isolates in the Isolates Database on the MLST website (https://pubmlst.org/bigsdb?db=pubmlst_sagalactiae_isolates&page=query). Interestingly, only one CRES isolate was previously recovered from a 61-year-old female patient with bacteremia in Kangwon Province in the north of Korea in 2010 [22]. Another CRES isolate of CPS genotype III was isolated from a patient with bacteremia in Bergen, Norway, in 2010 [23]. Three CRES isolates of serotype III were recovered from clinical specimens in Seoul during 2010–2013 [9, 24]. These findings are in line with our observation that all CRES isolates in Gyeongnam Province in the south of Korea were recovered between March 2010 and August 2011. Thus, the CRES isolates appeared to be epidemic in Korea and other countries during this limited period.
In line with a previous study [11], we found a significant difference in the distribution of AMR genotype of lnu(B)-lsa(E) between the CRES and CSER isolates. For all CRES isolates, the lnu(B) locus was adjacent to the lsa(E) locus within the same contigs, with a short 53-bp distance between these two loci. Therefore, in our study, the lnu(B)-lsa(E) gene combination seems to mainly contribute to the CRES phenotype. Further observation of the dynamic changes in the CRES phenotype and the corresponding gene transfer is needed.
The erm(B) confers constitutive resistance (cMLSB) through a conformational change in 23S ribosomal RNA methyltransferase [8]. Deletion of a segment in erm(B) sequence in CRES suggests loss of function of the erm(B) protein in this isolate, resulting in an erythromycin-susceptible phenotype. Interestingly, three CRES isolates (NUBL-9601, NUBL-9602, and NUBL-9603) isolated at a hospital in Seoul during 2010–2013 had the identical sequences (accession numbers LC430933, LC430934, and LC430935) (3) [9, 10]. Furthermore, we observed the IS1216E insertion in erm(B) (accession numbers LC512881, LC512882, LC512883, LC512885, and LC512886) in five isolates (GCH16, GCH19, GCH38, GCH55, and GCH58, respectively) of this study. Thus, IS1216E seems to be common among CRES isolates in Korea.
Four CRES isolates (GCH63, GCH64, GCH65, and GCH67) in our study possessed truncated variant sequences of erm(B) (624 and 678 bps) due to insertion of a TAA stop codon into the open reading frame (accession numbers LC512877, LC512878, LC512879, and LC512880), suggesting that an immature erm(B) protein leads to the erythromycin-susceptible phenotype. Three other phenotypes (GCH50, GCH72, and GCH78) also had truncated variant sequences (660, 678, and 510 bps, respectively) (accession numbers LC512884, LC512887, and LC512888, respectively) harboring the erythromycin-susceptible phenotype. Therefore, we may explain the mechanism of the presence of erm(B)-gene with the erythromycin-susceptible phenotype in CRES S. agalactiae.
This study has several limitations. First, clinical data, such as antibiotic treatment, outcome, and complications, does not suffice to demonstrate the relationship with the AMR genotype or virulence gene profile. Second, we cannot explain why the clonal outbreak occurred only during a limited period and is absent nowadays. Third, we did not determine translational activities and enzymatic functions of the IS1216E insertion-erm(B) and the truncated variant sequences.
In conclusion, CRES isolates were obtained during a limited period (2010–2011) and showed a genetic cluster having ST19 and CPS III in Korea as revealed by WGS. This rare AMR phenotype should be meticulously monitored, and the therapeutic efficacy of optimal antibiotics should be further evaluated.

ACKNOWLEDGMENTS

The authors thank ChunLab (Seoul, Korea) for technical support in WGS. This publication made use of the Streptococcus agalactiae MLST website (https://pubmlst.org/sagalactiae/) hosted at the University of Oxford (Jolley, Maiden 2010, BMC Bioinformatics, 11:595). The development of this website was funded by the Wellcome Trust. The pathogen resources for this study were provided by Gyeongsang National University Hospital Branch of the National Culture Collection for Pathogens (GNUH-NCCP).

Notes

AUTHOR CONTRIBUTIONS

TT and SK contributed to the study concept and design, and prepared and revised the manuscript. D-HL collected the bacterial strains and patient information. TM analyzed bioinformatics data and interpreted the acquired results. SL analyzed WGS data and submitted the draft genome sequences to the NCBI database.

CONFLICTS OF INTEREST

No potential conflicts of interest relevant to this article were reported.

RESEARCH FUNDING

This work was supported by a National Research Foundation of Korea grant funded by the Korea government (No. 2018R1D1A3B07041280). The funders had no role in the study design, data collection and interpretation, or the decision to submit the work for publication.

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Fig. 1
goeBURST diagram of the relationships among STs of 66 S. agalactiae isolates. The numbers in the circles indicate the STs, and the numbers near the lines indicate the number of differing alleles between the two connected STs. Putative CCs are identified by an outer dotted frame and correspond to the STs with the highest number of single locus variants.
Abbreviations: CC, clonal complex; ST, sequence type.
alm-2020-40-5-370f1.gif
Fig. 2
Phylogenetic tree of 66 S. agalactiae isolates. The phylogenetic tree was constructed using OAT, based on the OrthoANI algorithm, with S. agalactiae strain NCTC8181 (accession number UAVB00000000) as a reference. Asterisks (*) indicate CRES isolates, daggers (†) indicate CSER isolates. There was a concordance of the group distribution on the tree with the CPS genotype distribution (Ia, Ib, III, V, and VIII).
Abbreviations: CPS, capsular polysaccharide; CRES, clindamycin-resistant erythromycin-susceptible; CSER, clindamycin-susceptible erythromycin-resistant; CRER, clindamycin-resistant erythromycin-resistant; CSES, clindamycin-susceptible erythromycin-susceptible; CSEI, clindamycin-susceptible erythromycin-intermediate; CREI, clindamycin-resistant erythromycin-intermediate; CIES, clindamycin-intermediate erythromycin-susceptible; OAT, Orthologous Average Nucleotide Identity Tool.
alm-2020-40-5-370f2.gif
Fig. 3
Comparison of sequences of GCH61, NUBL-9601, and KMP104. Sequence of erm(B) from isolate GCH61 (accession number VYRN00000000) with the CRES phenotype contained C222T (N74N), T224C (I75T), and A299G (N100S) nucleotide (amino acid) substitutions, in addition to the insertion of an IS1216E element at nucleotide position 642, which resulted in the deletion of a segment spanning nucleotides 642–738 (97 bp). This sequence was identical to that from the CRES isolate NUBL-9601 (accession number LC430933). The sequence of erm(B) from the isolate KMP104 was used as a reference (RefSeq accession number DQ355148).
Abbreviation: CRES, clindamycin-resistant erythromycin-susceptible.
alm-2020-40-5-370f3.gif
Table 1
Specimen, date of collection, and accession numbers of draft genome sequences of 66 isolates of Streptococcus agalactiae
Strain Specimen Date of specimen collection (yr/month) Sex Age (yr) Accession numbers
GCH2 Blood 2016/03 M 75 WHUI00000000
GCH4 Blood 2016/05 F 83 WHUJ00000000
GCH5 Blood 2016/06 F 78 WHUK00000000
GCH7 Blood 2016/07 M 74 WHUL00000000
GCH8 Blood 2016/07 M 79 WACQ00000000
GCH9 Blood 2016/07 M 0 VYJX00000000
GCH10 Blood 2016/08 F 72 VYJI00000000
GCH11 Blood 2016/08 M 40 VYJJ00000000
GCH13 Blood 2016/10 M 64 VYJK00000000
GCH14 Blood 2016/12 M 67 VYJL00000000
GCH15 Blood 2016/12 M 76 VYJM00000000
GCH16 Blood 2017/01 M 43 VYJN00000000
GCH18 Blood 2017/02 M 77 VYJO00000000
GCH19 Blood 2017/02 M 60 VYJP00000000
GCH21 Blood 2017/03 F 85 VYJQ00000000
GCH22 Blood 2017/05 M 46 VYJR00000000
GCH25 Blood 2017/06 M 64 VYJS00000000
GCH26 Blood 2017/07 M 86 VYJT00000000
GCH28 Blood 2017/08 M 54 VYJU00000000
GCH29 Blood 2017/10 M 0 VYJV00000000
GCH30 Blood 2017/10 F 74 VYJW00000000
GCH32 Blood 2017/12 M 51 VYQL00000000
GCH33 Blood 2016/08 F 56 VYQM00000000
GCH34 Blood 2016/11 F 73 VYQN00000000
GCH35 Blood 2017/05 M 84 VYQO00000000
GCH36 Blood 2017/07 F 73 VYQP00000000
GCH37 CSF 2014/07 M 51 VYQQ00000000
GCH38 CSF 2014/10 M 0 VYQR00000000
GCH39 CSF 2014/12 M 0 VYQS00000000
GCH40 CSF 2015/08 F 0 VYQT00000000
GCH41 CSF 2015/08 F 0 VYQU00000000
GCH42 CSF 2016/06 M 50 VYQV00000000
GCH43 Urine 2017/02 M 32 VYQW00000000
GCH44 Urine 2017/02 F 56 VYQX00000000
GCH45 Urine 2017/05 F 84 VYQY00000000
GCH46 Urine 2017/07 M 61 VYQZ00000000
GCH47 Urine 2017/07 F 34 VYRA00000000
GCH48 Urine 2017/08 F 73 VYRB00000000
GCH49 Urine 2017/08 M 65 VYRC00000000
GCH50 Urine 2017/11 F 13 VYRD00000000
GCH51 Urine 2017/12 M 53 VYRE00000000
GCH53 Vaginal discharge 2016/04 F 34 VYRF00000000
GCH54 Vaginal discharge 2016/05 F 33 VYRG00000000
GCH55 Vaginal discharge 2016/10 F 33 VYRH00000000
GCH56 Vaginal discharge 2017/01 F 22 VYRI00000000
GCH57 Vaginal discharge 2017/01 F 33 VYRJ00000000
GCH58 Vaginal discharge 2017/02 F 37 VYRK00000000
GCH59 Vaginal discharge 2017/04 F 39 VYRL00000000
GCH60 Vaginal discharge 2017/07 F 33 VYRM00000000
GCH61 Urine 2010/03 M 51 VYRN00000000
GCH62 Vaginal discharge 2010/03 F 38 VYRO00000000
GCH63 Urine 2010/04 M 44 VYRP00000000
GCH64 Urine 2010/10 F 83 VYRQ00000000
GCH65 Urine 2010/12 F 49 VYRR00000000
GCH66 Vaginal discharge 2010/12 F 42 VYRS00000000
GCH67 Urine 2011/08 F 55 VYRT00000000
GCH68 CSF 2011/04 M 0 VYRU00000000
GCH70 CSF 2012/01 F 0 VYRW00000000
GCH71 CSF 2012/03 M 0 VYRX00000000
GCH72 CSF 2012/08 F 0 VYRY00000000
GCH73 Vaginal discharge 2014/07 F 33 WHUM00000000
GCH74 Vaginal discharge 2014/08 F 40 WHUN00000000
GCH75 Vaginal discharge 2016/02 F 25 WHUO00000000
GCH76 Urine 2015/11 F 79 WHUP00000000
GCH77 Urine 2016/02 M 60 WHUQ00000000
GCH78 Urine 2014/10 M 0 WHUR00000000

Abbreviations: CSF, cerebrospinal fluid; M, male; F, female.

Table 2
Phenotypic and genotypic features of S. agalactiae for AMR, CPS, ST, and virulence
Isolate Antimicrobial susceptibility pattern Macrolide/lincosamide resistance gene Tetracycline resistance gene Aminoglycoside resistance gene ST CPS genotype Virulence gene profile
GCH2 CRER erm(B), lnu(B), lsa(E), mre(A) tet(O) ant(6)-Ia, ant(6)-Ia, aph(3′)-III 12 Ib bca-bac*-lmb-cylE
GCH4 CSES mre(A) 2 VIII rib-lmb-cylE
GCH5 CSES mre(A) 2 VIII rib-lmb-cylE
GCH7 CSES mre(A) 2 VIII rib-lmb-cylE
GCH8 CSES mre(A) 654 Ib bca-bac*-lmb-cylE
GCH9 CRER erm(A), mre(A) tet(M) 335 III rib-lmb-cylE
GCH10 CIES mre(A) tet(M) 23 Ia lmb-cylE
GCH11 CSES mre(A) tet(M) 23 Ia lmb-cylE
GCH13 CSES mre(A) 1,371 VIII rib-lmb-cylE
GCH14 CRER erm(A), mre(A) tet(M) 335 III rib-lmb-cylE
GCH15 CSES mre(A) 2 VIII rib-cylE
GCH16 CSES erm(B)*, lnu(B), lsa(E), mre(A) tet(M) aac(6′)-aph(2″), ant(6)-Ia*, aph(3′)-III 19 III rib-lmb-cylE
GCH18 CSES lsa(C), mre(A) tet(M) 23 Ia lmb-cylE
GCH19 CREI erm(B)*, lnu(B), lsa(E), mre(A) tet(M) aac(6′)-aph(2″), ant(6)-Ia*, aph(3′)-III 19 III rib-lmb-cylE
GCH21 CREI lsa(C), mre(A) tet(M) 23 Ia lmb-cylE
GCH22 CSES mre(A) 88 II lmb-cylE
GCH25 CSES mre(A) 1 VI bca-lmb-cylE
GCH26 CSES mre(A) tet(O) 2 VIII rib-lmb-cylE
GCH28 CSES mre(A) tet(M) 19 III rib-lmb-cylE
GCH29 CSES mre(A) 2 VIII rib-lmb-cylE
GCH30 CRER erm(B), mre(A) tet(M) 1 V lmb-cylE
GCH32 CSES mre(A) 2 VIII rib-lmb-cylE
GCH33 CRER erm(A), mre(A) tet(M) 335 III rib-lmb-cylE
GCH34 CSES mre(A) tet(M) 24 Ia bca-lmb-cylE
GCH35 CSES mre(A) 10 Ib bca-bac*-lmb-cylE
GCH36 CSES mre(A) 10 Ib bca-bac*-lmb-cylE
GCH37 NA mre(A) 88 Ia lmb-cylE
GCH38 CREI erm(B)*, lnu(B), lsa(E), mre(A) tet(M) aac(6′)-aph(2″), ant(6)-Ia*, aph(3′)-III 1,369 III bca-lmb-cylE
GCH39 CSES mre(A) tet(M) 17 III rib-cylE
GCH40 CRER erm(A), mre(A) tet(M) 335 III rib-lmb-cylE
GCH41 CRER erm(B), mre(A) tet(O) ant(6)-Ia, ant(6)-Ia, aph(3′)-III 17 III rib-cylE
GCH42 CSES mre(A) 2 VIII rib-cylE
GCH43 CREI lnu(B), lsa(E), mre(A) tet(M) aac(6′)-aph(2″), ant(6)-Ia*, ant(6)-Ia, aph(3′)-III 19 III rib-lmb-cylE
GCH44 CSEI mre(A) 2 VIII rib-lmb-cylE
GCH45 CSER mre(A) 2 VIII rib-lmb-cylE
GCH46 CSES mre(A) 654 Ib bca-bac*-lmb-cylE
GCH47 CRER erm(A), lnu(B), lsa(E), mre(A) tet(M) aac(6′)-aph(2″), ant(6)-Ia*, aph(3′)-III 19 V cylE
GCH48 CRER erm(A), mre(A) tet(M) 1 V lmb-cylE
GCH49 CRER lsa(C), mef(A), mre(A), msr(D) tet(O) 861 III rib-lmb-cylE
GCH50 CREI erm(B)*, lnu(B), lsa(E), mre(A) tet(M) aac(6′)-aph(2″), ant(6)-Ia*, ant(6)-Ia, aph(3′)-III 19 III rib-lmb-cylE
GCH51 CRER erm(B), mre(A) 10 Ib bca-bac*-lmb-cylE
GCH53 CSES mre(A) tet(M) 1 II lmb-cylE
GCH54 CSES mre(A) 10 Ib bca-bac*-lmb-cylE
GCH55 CREI erm(B)*, lnu(B), lsa(E), mre(A) tet(M) aac(6′)-aph(2″), ant(6)-Ia*, ant(6)-Ia, aph(3′)-III 19 III rib-lmb-cylE
GCH56 CSES mre(A) 2 VIII rib-lmb-cylE
GCH57 CRER mre(A) 654 Ib bca-bac*-lmb-cylE
GCH58 CREI erm(B)*, lnu(B), lsa(E), mre(A) tet(M) aac(6′)-aph(2″), ant(6)-Ia*, aph(3′)-III 19 III rib-lmb-cylE
GCH59 CRER erm(A), mre(A) tet(M) 335 III rib-lmb-cylE
GCH60 CSES mre(A) tet(M) 19 III rib-lmb-cylE
GCH61 CRES erm(B)*, lnu(B), lsa(E), mre(A) tet(M) aac(6′)-aph(2″), ant(6)-Ia*, aph(3′)-III 19 III rib-lmb-cylE
GCH62 CRES lnu(B), lsa(E), mre(A) tet(M) aac(6′)-aph(2″), ant(6)-Ia*, ant(6)-Ia*, aph(3′)-III 19 III rib-lmb-cylE
GCH63 CRES erm(B)*, lnu(B), lsa(E), mre(A) tet(M) aac(6′)-aph(2″), ant(6)-Ia*, ant(6)-Ia, aph(3′)-III 19 III rib-lmb-cylE
GCH64 CRES erm(B)*, lnu(B), lsa(E), mre(A) tet(M) aac(6′)-aph(2″), ant(6)-Ia*, aph(3′)-III 19 III rib-lmb-cylE
GCH65 CRES erm(B)*, lnu(B), lsa(E), mre(A) tet(M) aac(6′)-aph(2″), ant(6)-Ia*, aph(3′)-III 19 III rib-lmb-cylE
GCH66 CRES lnu(B), lsa(E), mre(A) tet(M) aac(6′)-aph(2″), ant(6)-Ia*, aph(3′)-III 19 III rib-lmb-cylE
GCH67 CRES erm(B)*, lnu(B), lsa(E), mre(A) tet(M) aac(6′)-aph(2″), ant(6)-Ia*, aph(3′)-III 19 III rib-lmb-cylE
GCH68 CSES erm(A), mre(A) tet(M) 335 III rib-lmb-cylE
GCH70 CSES erm(A), mre(A) tet(M) 335 III rib-lmb-cylE
GCH71 CSES mre(A) tet(M) 23 Ia lmb-cylE
GCH72 CSES erm(B)*, mre(A) tet(M) aac(6′)-aph(2″), ant(6)-Ia*, aph(3′)-III 19 III rib-lmb-cylE
GCH73 CSER mre(A) 1 VI bca-lmb-cylE
GCH74 CSER mre(A) tet(M) 19 III rib-lmb-cylE
GCH75 CSER mef(A), mre(A), msr(D) tet(M) 23 Ia lmb-cylE
GCH76 CSER erm(A), mre(A) tet(M) 19 V lmb-cylE
GCH77 CSER mef(A), mre(A), msr(D) tet(M) 23 Ia lmb-cylE
GCH78 CSER erm(B)*, mef(A), mre(A), msr(D) tet(M) ant(6)-Ia*, aph(3′)-III 19 III rib-lmb-cylE

* Identical nucleotide length<100% of the reference sequence in the database.

Abbreviations: AMR, antimicrobial resistance; CPS, capsular polysaccharide; CRER, clindamycin-resistant erythromycin-resistant; CSES, clindamycin-susceptible erythromycin-susceptible; CIES, clindamycin-intermediate erythromycin-susceptible; CREI, clindamycin-resistant erythromycin-intermediate; CSEI, clindamycin-susceptible erythromycin-intermediate; CSER, clindamycin-susceptible erythromycin-resistant; CRES, clindamycin-resistant erythromycin-susceptible; ST, sequence type.

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