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Bacteriology

Neisseria gonorrhoeae Sequence Typing for Antimicrobial Resistance, a Novel Antimicrobial Resistance Multilocus Typing Scheme for Tracking Global Dissemination of N. gonorrhoeae Strains

W. Demczuk, S. Sidhu, M. Unemo, D. M. Whiley, V. G. Allen, J. R. Dillon, M. Cole, C. Seah, E. Trembizki, D. L. Trees, E. N. Kersh, A. J. Abrams, H. J. C. de Vries, A. P. van Dam, I. Medina, A. Bharat, M. R. Mulvey, G. Van Domselaar, I. Martin
Alexander J. McAdam, Editor
W. Demczuk
aPublic Health Agency of Canada, National Microbiology Laboratory, Winnipeg, MB, Canada
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S. Sidhu
aPublic Health Agency of Canada, National Microbiology Laboratory, Winnipeg, MB, Canada
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M. Unemo
bWHO Collaborating Centre for Gonorrhoea and Other STIs, Örebro University Hospital, Örebro, Sweden
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D. M. Whiley
cThe University of Queensland, Centre for Clinical Research, Brisbane, Australia
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V. G. Allen
dPublic Health Ontario Laboratories, Toronto, Ontario, Canada
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J. R. Dillon
eDepartment of Microbiology and Immunology, University of Saskatchewan, Saskatoon, Saskatchewan, Canada
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M. Cole
fPublic Health England, London, United Kingdom
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C. Seah
dPublic Health Ontario Laboratories, Toronto, Ontario, Canada
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E. Trembizki
cThe University of Queensland, Centre for Clinical Research, Brisbane, Australia
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D. L. Trees
gDivision of STD Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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E. N. Kersh
gDivision of STD Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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A. J. Abrams
gDivision of STD Prevention, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
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H. J. C. de Vries
hSTI Outpatient Clinic, Department of Infectious Diseases, Public Health Service Amsterdam, Amsterdam, the Netherlands
iDepartment of Dermatology, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands
jCenter for Infection and Immunity Amsterdam, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands
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A. P. van Dam
kPublic Health Laboratory, Public Health Service Amsterdam, Amsterdam, the Netherlands
lDepartment of Medical Microbiology, OLVG General Hospital, Amsterdam, the Netherlands
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I. Medina
aPublic Health Agency of Canada, National Microbiology Laboratory, Winnipeg, MB, Canada
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A. Bharat
aPublic Health Agency of Canada, National Microbiology Laboratory, Winnipeg, MB, Canada
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M. R. Mulvey
aPublic Health Agency of Canada, National Microbiology Laboratory, Winnipeg, MB, Canada
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G. Van Domselaar
aPublic Health Agency of Canada, National Microbiology Laboratory, Winnipeg, MB, Canada
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I. Martin
aPublic Health Agency of Canada, National Microbiology Laboratory, Winnipeg, MB, Canada
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Alexander J. McAdam
Boston Children's Hospital
Roles: Editor
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DOI: 10.1128/JCM.00100-17
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ABSTRACT

A curated Web-based user-friendly sequence typing tool based on antimicrobial resistance determinants in Neisseria gonorrhoeae was developed and is publicly accessible (https://ngstar.canada.ca ). The N. gonorrhoeae Sequence Typing for Antimicrobial Resistance (NG-STAR) molecular typing scheme uses the DNA sequences of 7 genes (penA, mtrR, porB, ponA, gyrA, parC, and 23S rRNA) associated with resistance to β-lactam antimicrobials, macrolides, or fluoroquinolones. NG-STAR uses the entire penA sequence, combining the historical nomenclature for penA types I to XXXVIII with novel nucleotide sequence designations; the full mtrR sequence and a portion of its promoter region; portions of ponA, porB, gyrA, and parC; and 23S rRNA sequences. NG-STAR grouped 768 isolates into 139 sequence types (STs) (n = 660) consisting of 29 clonal complexes (CCs) having a maximum of a single-locus variation, and 76 NG-STAR STs (n = 109) were identified as unrelated singletons. NG-STAR had a high Simpson's diversity index value of 96.5% (95% confidence interval [CI] = 0.959 to 0.969). The most common STs were NG-STAR ST-90 (n = 100; 13.0%), ST-42 and ST-91 (n = 45; 5.9%), ST-64 (n = 44; 5.72%), and ST-139 (n = 42; 5.5%). Decreased susceptibility to azithromycin was associated with NG-STAR ST-58, ST-61, ST-64, ST-79, ST-91, and ST-139 (n = 156; 92.3%); decreased susceptibility to cephalosporins was associated with NG-STAR ST-90, ST-91, and ST-97 (n = 162; 94.2%); and ciprofloxacin resistance was associated with NG-STAR ST-26, ST-90, ST-91, ST-97, ST-150, and ST-158 (n = 196; 98.0%). All isolates of NG-STAR ST-42, ST-43, ST-63, ST-81, and ST-160 (n = 106) were susceptible to all four antimicrobials. The standardization of nomenclature associated with antimicrobial resistance determinants through an internationally available database will facilitate the monitoring of the global dissemination of antimicrobial-resistant N. gonorrhoeae strains.

INTRODUCTION

Neisseria gonorrhoeae, the causative agent of gonorrhea, is a global public health concern causing an estimated 78 million new cases of gonorrhea among adults every year (1). N. gonorrhoeae has developed resistance to almost all of the antimicrobials previously used for the treatment of gonorrhea, including penicillins, tetracyclines, and fluoroquinolones (2, 3); the remaining treatment options are now threatened by the emergence of resistance to third-generation cephalosporins and azithromycin (4–13).

The genes attributed to cephalosporin, fluoroquinolone, and azithromycin resistances have been well characterized (3); however, the lack of an internationally standardized classification nomenclature makes it difficult to compare the mutations implicated in resistance in individual gonococcal isolates. Agreement on the nomenclature of antimicrobial resistance (AMR) determinants through an internationally available, curated, user-friendly database containing sequence information and appropriate microbiological, genetic, clinical, and epidemiological data is of the utmost importance (14–16).

Variations in nucleotide sequences of penA (encoding penicillin binding protein 2 [PBP2]) are associated with resistance to cephalosporin and penicillin (2, 14, 17) and include the acquisition of penA mosaic sequences through recombination with penA genes from other Neisseria species as well as various other amino acid substitutions. Historically, the nomenclature used for the penA gene has been the assignment of PBP2 types I to XXXVIII based on amino acid substitution profiles at 82 selected amino acid positions (9) rather than nucleotide sequence differences. N. gonorrhoeae Sequence Typing for Antimicrobial Resistance (NG-STAR) uses this historical amino-acid-based nomenclature as a basis for allele numbering while creating a more convenient and easier-to-maintain naming system. Mutations in the promoter and/or coding region of the mtrR repressor may result in the overexpression of the MtrCDE efflux pump. Known mtrR mutations associated with resistance to macrolides, cephalosporins, tetracycline, and penicillin include a −35A deletion in the promoter sequence, an A39T or G45D mutation in the coding region, or the presence of N. meningitidis-like sequences (2, 14, 18–21). Variations in porB1b, encoding an outer membrane porin protein, causing amino acid substitutions at G120 and A121 (or G101 and A102, respectively, if the 19-amino-acid signal sequence is not included), also historically referred to as the penB resistance determinant, can decrease membrane permeability and the uptake of cephalosporins, tetracycline, and penicillin (2, 14, 22–25). The L421P variation caused by a mutation in ponA (PBP1) is involved in chromosomally mediated resistance to penicillins. The L421P mutation is present in many circulating N. gonorrhoeae strains, including those with elevated cephalosporin MICs; however, this mutation has not caused significantly increased cephalosporin MICs in transformation experiments (2, 3, 26). Fluoroquinolone resistance in N. gonorrhoeae is conferred via variations in gyrA (subunit A of DNA gyrase) that induce changes at amino acid positions S91 and/or D95 and those in parC (topoisomerase IV subunit C) that alter amino acids at positions D86, S87, and/or S88 (2, 3, 27). Point mutations in the peptidyl-transferase loop region in domain V of 23S rRNA confer resistance to azithromycin (2, 3, 28, 29). By convention, the locations of the 23S rRNA nucleotide mutations are based on the Escherichia coli coordinates of A2059G and C2611T, which correspond to A2045G and C2597T, respectively, of N. gonorrhoeae NCCP11945 (GenBank accession number NC_011035.1 ). The N. gonorrhoeae genome carries 4 gene alleles encoding 23S rRNA, and although the number of mutated alleles has been correlated with increasing resistance (28), a strain with one mutated allele can rapidly acquire mutations in all 4 alleles (29).

In the present study, a novel sequence-based molecular antimicrobial resistance typing scheme and Web-based analysis software, NG-STAR, were developed through an international collaboration. NG-STAR addresses the complex nomenclature applied to variations in multiple antimicrobial resistance genes of N. gonorrhoeae and can be used to monitor the global dissemination of antimicrobial-resistant N. gonorrhoeae strains.

RESULTS

NG-STAR currently contains 215 sequence types (STs) corresponding to unique allelic profiles consisting of concatenated allele identifications for penA, mtrR, porB, ponA, gyrA, parC, and 23S rRNA loci.

penA alleles.NG-STAR currently includes 49 penA types, including 21 historical and 28 novel amino acid profiles, with 80 penA gene alleles (Table 1). The most allelic diversity was seen for penA type II (penA alleles 2.001 to 2.006), penA type XXII (alleles 22.001 to 22.006), and penA type XXXIV (alleles 34.001 to 34.006). There were 16 mosaic (n = 228) and 32 nonmosaic (n = 541) penA types among the 769 isolates analyzed. The most common mosaic type was penA type XXXIV (n = 197), with 79.7% (n = 157) of isolates carrying penA allele 34.001, and the most common nonmosaic type was penA type II (n = 169), where allele 2.001 accounted for 88% of the isolates (n = 149).

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TABLE 1

Amino acid profiles of previously described and novel penA typesa

mtrR alleles.There are currently 51 mtrR allele types in the database (Table 2), with 6 alleles having the −35A deletion in the promoter region, 19 having either the A39T or G45D substitution in MtrR, 6 having an N. meningitidis-like mosaic sequence, and 20 alleles having none of these mutations. The mtrR1 allele, which has −35A promoter deletion only, accounted for 43.2% (n = 332) of the isolates included in this study.

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TABLE 2

Molecular antimicrobial resistance determinants present in NG-STAR mtrR, porB, ponA, gyrA, parC, and 23S rRNA alleles

porB alleles.There are currently 16 porB allele types in the database, 14 of which are porB1b and 2 of which correspond to porB1a sequences. Of the porB1b sequences, 13 have the corresponding G120 and/or A121 amino acid substitution in PorB1b. The porB11 allele (with G120K/A121N) was most common among the isolates tested, representing 30.8% (n = 237) of the porB alleles, followed by porB1 (wild type at G120/A121), with 16.8% (n = 129), and porB8 (G120K/A121D), with 16.6% (n = 128).

ponA alleles.Six ponA alleles are currently present in NG-STAR, four of which have the PBP1 L421P substitution present. The ponA1 allele (L421P) was predominant among the strains tested, representing 52.8% (n = 406) of the isolates.

gyrA alleles.There are 10 gyrA alleles listed in NG-STAR so far, 5 of which possess a S91 and/or a D95 substitution in GyrA. Among the strains analyzed, 47.7% (n = 367) harbored gyrA0 (wild type with no mutations), and 39.5% (n = 304) harbored gyrA1 (S91F/D95G).

parC alleles.NG-STAR currently includes 21 parC alleles, and 13 have substitutions at amino acid positions D86, S87, and/or S88 in ParC. The most predominant allele among the strains in this study was parC3 (S87R), in 37.3% (n = 287) of the isolates, followed by parC0 and parC1 (both wild type at D86, S87, and S88), in 16.8% (n = 129) and 15.0% (n = 115) of the strains, respectively.

23S rRNA alleles.There are currently 10 23S rRNA alleles in the NG-STAR database, with 2 having a C2611T mutation that is associated with low to moderate resistance (MIC = 2 to 32 μg/ml depending upon the number of alleles mutated) and 1 having an A2059G mutation that causes high-level resistance (MIC ≥ 256 μg/ml with more than 2 mutated alleles). The 23S rRNA wild-type allele 23S-0 accounted for 64.6% (n = 497), 23S-2 (with C2611T) accounted for 21.7% (n = 167), and 23S-1 (A2059G) accounted for 1.2% (n = 9) of the isolates tested.

Sequence types.Analysis of 768 N. gonorrhoeae isolates identified 215 NG-STAR STs (see Table S1 in the supplemental material). goeBURST analysis of the NG-STAR allelic profiles (Fig. S1) grouped 660 isolates into 28 clonal complexes (CCs) of 215 NG-STAR STs having single-locus variations, and 109 isolates were identified as 76 singleton NG-STAR STs having ≥2 locus variations, which generated a Simpson's diversity index value of 96.5% (95% confidence interval [CI] = 0.959 to 0.969). Sixteen NG-STAR STs were composed of 10 or more isolates (Table S2) (n = 439; 57.1%), and 134 NG-STAR STs consisted of a single isolate (n = 134; 17.4%). Multilocus sequence typing (MLST) analysis produced 86 MLST STs, with 435 isolates grouping into 6 CCs, and 39 MLST STs were singletons (n = 222), producing a Simpson's diversity index value of 86.6% (95% CI = 0.846 to 0.886). Analysis by N. gonorrhoeae multiantigen sequence typing (NG-MAST) produced 209 NG-MAST STs, grouping 537 isolates into 20 CCs and 181 isolates into 103 singleton NG-MAST STs, resulting in a Simpson's diversity index value of 97.0% (95% CI = 0.964 to 0.975). The congruence of the three typing methods was determined with the adjusted Wallace coefficient (AW), with AWNG-STAR→MLST equaling 0.780 (95% CI = 0.712 to 0.848) and AWNG-STAR→NG-MAST equaling 0.368 (95% CI = 0.321 to 0.416), meaning that isolates grouped by NG-STAR have a 78% chance of grouping by MLST and a 37% chance of grouping by NG-MAST.

The most common NG-STAR ST was ST-90 (n = 100; 13.0%), followed by ST-42 and ST-91 (each n = 45; 5.9%), ST-64 (n = 44; 5.72%), and ST-139 (n = 42; 5.5%). NG-STAR ST-90 was also the most diverse ST (see Table S2 in the supplemental material) and consisted of 7 MLST and 24 NG-MAST STs (n = 96). NG-STAR ST-91 had 2 MLST and 7 NG-MAST STs (n = 42), NG-STAR ST-42 had 1 MLST and 2 NG-MAST STs (n = 45), NG-STAR ST-64 had 3 MLST and 2 NG-MAST STs (n = 42), and ST-139 had 1 MLST and 10 NG-MAST STs (n = 42).

Some NG-STAR STs were correlated geographically with Brazilian isolates grouping into 8 NG-STAR STs, 5 of which were unique to Brazil (n = 5), whereas 22 NG-STAR STs were observed among isolates from the Netherlands having 15 unique NG-STAR STs (n = 23), 20 NG-STAR STs (n = 31) were unique to the United States out of a total of 28, and all Chinese isolates (n = 10) were associated with 7 unique NG-STAR STs (Table 3).

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TABLE 3

Geographical distribution of NG-STAR sequence types

NG-STAR STs, allelic profiles, and antimicrobial MICs for a selection of internationally available reference strains are presented in Table 4, and the characteristics of prevalent NG-STAR STs are presented in Table 5. Specific NG-STAR STs were associated with characteristic antimicrobial resistance levels. Among the common NG-STAR STs consisting of 10 or more isolates, 92.3% of isolates with NG-STAR ST-61, ST-64, ST-79, ST-91, or ST-139 (n = 156) had an azithromycin MIC of ≥2.0 μg/ml, compared to 6.2% (n = 17) of isolates of other prevalent STs (P < 0.001) (Table 5). Similarly, 86.1% (n = 142) of NG-STAR ST-90, ST-91, or ST-97 isolates had a ceftriaxone MIC of ≥0.06 μg/ml (P < 0.001), and 92.1% (n = 165) had a cefixime MIC of ≥0.125 μg/ml (P < 0.001). Concurrently reduced susceptibilities to azithromycin and cephalosporins were present among NG-STAR ST-91 strains, where 86.7% (n = 39) had an azithromycin MIC of ≥2.0 μg/ml and a ceftriaxone MIC of ≥0.06 μg/ml (P < 0.001). NG-STAR ST-26, ST-90, ST-91, ST-97, ST-150, and ST-158 were associated with ciprofloxacin resistance, with an MIC of ≥1.0 μg/ml (98.0%; n = 196; P < 0.001), whereas NG-STAR ST-42, ST-43, ST-63, ST-81, and ST-160 (n = 106) were susceptible to all four antimicrobials. Minimum spanning tree analysis using goeBURST further illustrated the association of NG-STAR STs with antimicrobial susceptibilities (Fig. 1). NG-STAR STs with reduced susceptibilities to ciprofloxacin (Fig. 1A), ceftriaxone (Fig. 1C), and cefixime (Fig. 1D) clustered together, and highly susceptible NG-STAR STs clustered oppositely in the minimum spanning tree, while those with intermediate MIC ranges were located in between. This pattern was not as evident for azithromycin susceptibility, where clusters of resistant NG-STAR STs were scattered throughout the tree (Fig. 1B).

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TABLE 4

NG-STAR sequence types of select Neisseria gonorrhoeae reference strains with MICs and molecular antimicrobial resistance determinant profiles

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TABLE 5

Characterization of predominant NG-STAR sequence types

FIG 1
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FIG 1

Antimicrobial resistance and genetic relatedness of 768 Neisseria gonorrhoeae isolates determined by goeBURST minimum spanning tree analysis of NG-STAR allelic profiles of seven antimicrobial resistance-related genes. Colored nodes indicate MICs of ciprofloxacin, azithromycin, ceftriaxone, and cefixime. The size of a node is proportional to the number of isolates, and branches are not to scale.

Specific NG-STAR alleles were also associated with levels of resistance. Isolates with the 23S rRNA allele 23S-1 (with an A2059T mutation) were the only isolates that also had azithromycin MICs of ≥256 μg/ml (n = 8). Allele 23S-2 with a C2611T mutation as the sole known azithromycin resistance determinant (not having an mtrR −35A deletion or A39T or G45D mutation, an N. meningitidis-like promoter, or a 23S rRNA A2059T mutation) was identified in 33 of 34 azithromycin-resistant isolates, whereas only 2 of the 70 isolates with no known determinants were resistant (P < 0.001). The mtrR27, mtrR28, mtrR30, mtrR39, mtrR44, and mtrR46 alleles contain an N. meningitidis-like mtrR promoter sequence, which was the sole determinant in 17 azithromycin-resistant isolates and only 2 susceptible isolates (P < 0.001). Similarly, 24 of 27 isolates with only the gyrA S91 and D95 ciprofloxacin resistance determinants, corresponding to the gyrA1 and gyrA7 alleles, respectively, were ciprofloxacin resistant (MIC ≥ 1 μg/ml), whereas only 4 of 399 isolates with no resistance determinants (both wild-type gyrA S91/D95 and wild type parC D86/S87/S88) were resistant (P < 0.001).

DISCUSSION

The emergence of extensively antimicrobial-resistant gonococcal infections together with the increased use of nucleic acid amplification tests for diagnosis have highlighted the need for rapid and standardized molecular-based methods to enhance surveillance of this disease. NG-STAR is a novel molecular typing scheme developed to facilitate the standardization and organization of the nomenclature of N. gonorrhoeae loci commonly associated with resistance to macrolides, cephalosporins, penicillins, and fluoroquinolones. NG-STAR is intended as an adjunct typing scheme to integrate antimicrobial resistance information with existing successful molecular epidemiological typing schemes such as MLST and NG-MAST. Although AMR profiles have been indirectly associated with particular NG-MAST genotypes, several problems exist, including the fact that AMR associations with NG-MAST genotypes are not fully definitive, rare or infrequent types may have little associated interpretative data available, and the approach requires continual data updating (16). The association of AMR and NG-MAST genotypes may also differ regionally, and it is important for each region to test the hypothesis that NG-MAST genotypes are predictive of AMR (30). Furthermore, susceptibility of N. gonorrhoeae to third-generation cephalosporins has been shown to be associated with specific combined penA-mtrR-porB mutation patterns (31). NG-STAR has the flexibility to directly associate resistance-determining mutations of the major genes with AMR profiles and to capture novel resistance mutations within these genes.

NG-STAR was validated with a wide selection of reference strains and internationally collected clinical isolates and produced a desirable high Simpson's diversity index value (32) comparable to that of NG-MAST and better than that of MLST. Specific NG-STAR STs are defined by mutations within antimicrobial resistance-determining alleles; therefore, each distinctive allelic profile is directly associated with a characteristic antimicrobial resistance profile. Each allele number relates to specific molecular antimicrobial resistance determinants, and consequently, each allelic profile will represent a composite of such determinants, creating an NG-STAR ST that should have a characteristic antimicrobial resistance phenotype. NG-STAR ST-90, ST-91, and ST-97 isolates possess mosaic penA type XXXIV and porB mutations that cause substitutions in amino acids G120 and A121, and these STs exhibit the expected reduced susceptibility to extended-spectrum cephalosporins (3, 33, 34). Similarly reduced cephalosporin susceptibilities were also observed among NG-STAR STs with nonmosaic penA alleles with an A501V substitution, such as penA 43.001, 43.002, and 13.001. Nonmosaic penA type IX, XIII, XVII, or XVIII with combinations of the A501V, P551S, G542S, and/or P551S/L mutation has been shown to be associated with N. gonorrhoeae isolates with cefixime and ceftriaxone MICs of ≥0.03 µg/ml (31, 35). In addition to the cephalosporin resistance determinants, NG-STAR ST-91 also had 23S rRNA allele 23S-2 with a C2611T point mutation, which confers concurrent resistance to macrolides. High-level azithromycin resistance (MIC ≥ 256 μg/ml) is associated with NG-STAR ST-30, ST-36, ST-69, ST-192, ST-202, ST-223, and ST-225, all of which possess the 23S rRNA A2059G mutation of allele 23S-1. Previous molecular studies have shown that these isolates possessed the A2059G mutation in all 4 alleles (36). Although more than a single mutated 23S rRNA gene in the genome is required to confer elevated azithromycin MICs (28, 36), the acquisition of a single mutated allele facilitates the rapid acquisition of a full complement of mutated alleles under selective pressures (3, 29); therefore, the presence of a single mutation may be considered a precursor to full resistance, especially if inappropriate treatment adds to this selective pressure. It is for this reason that NG-STAR records the presence of a mutation, even if present in a single allele, as being sufficient to identify the potential for full azithromycin resistance and to recommend an alternative treatment. Azithromycin-resistant STs did not cluster to the same extent as those with decreased susceptibility to other antimicrobials in the minimum spanning tree (Fig. 1B), potentially reflecting the more sporadic, nonclonal nature of the acquisition of azithromycin resistance among many N. gonorrhoeae strains (3, 29, 34, 36), although some subsequent clonal dissemination has been documented (37).

A Web-based user-friendly typing tool based on the well-characterized antimicrobial resistance genes of N. gonorrhoeae was developed, where nucleotide sequences of penA, mtrR, porB, ponA, gyrA, parC, and 23S rRNA may be queried against curated allelic libraries employing a standardized nomenclature. Although NG-STAR provides a satisfactory discriminatory molecular typing scheme for N. gonorrhoeae, it would be more useful in combination with other epidemiological typing schemes such as NG-MAST to enhance the molecular surveillance of antimicrobial resistance. Future planned enhancements of NG-STAR include interrogation of whole-genome sequence data and improved analytical functionality such as built-in sequence alignment and protein translation tools and bulk querying mechanisms. NG-STAR will enable public health practitioners and researchers around the world to communicate in a common “molecular language” to facilitate improved responses and monitoring of emerging drug-resistant clones of N. gonorrhoeae and to provide an enhanced understanding of the dissemination, transmission, and dynamics of gonorrhea, which will inform public health interventions and reduce the burden of this disease.

MATERIALS AND METHODS

N. gonorrhoeae isolates and antimicrobial susceptibility testing.This study examined 768 N. gonorrhoeae isolates, which included 600 isolates from Canada, 47 from the Netherlands, 31 from the United States, 10 from China, and 9 from Brazil. Additional international reference strains WHO-F, WHO-G, WHO-K, WHO-L, WHO-M, WHO-N, WHO-O, WHO-P, WHO-U, WHO-V, WHO-W, WHO-X, WHO-Y, and WHO-Z (38) and strains ATCC 49226, NCCP11945 (GenBank accession number NC_011035.1 ), FA1090 (accession number NC_002946.2 ), MS11 (accession number NC_022240.1 ), FA19 (accession number NZ_CP012026.1 ), FA6140 (accession number NZ_CP012027.1 ), and 35/02 (accession number NZ_CP012028.1 ) from the NCBI were also included. Fifty genomes downloaded from the CDC Neisseria gonorrhoeae Antimicrobial Resistance Bank (available at http://www.cdc.gov/drugresistance/resistance-bank/currently-available.html [accessed December 2016]) were included to provide a broader range of strains. The WHO and CDC Neisseria gonorrhoeae Antimicrobial Resistance Bank strains are representative of the known antimicrobial resistance determinants for N. gonorrhoeae.

Susceptibilities to azithromycin, ciprofloxacin, ceftriaxone, and cefixime (Sigma-Aldrich Canada Ltd., Oakville, Ontario, Canada) were determined by using the agar dilution method and quality control strains as previously described (39, 40).

NG-MAST, MLST, and NG-STAR typing.NG-MAST, MLST, and NG-STAR sequence typing was performed by using gene sequences extracted in silico from whole-genome sequencing (WGS) data and submitted to the NG-MAST (http://www.ng-mast.net/ ), Neisseria MLST (http://pubmlst.org/neisseria/ ), and NG-STAR (https://ngstar.canada.ca ) websites to determine the respective STs. The relatedness of allelic profiles was visualized by using PHYLOViZ 2.0 (41, 42) to produce a full goeBURST minimum spanning tree. MLST and NG-STAR CCs were defined by a single-locus variation in allelic profiles from a founding ST, while an NG-MAST CC was determined by 5 or more single-nucleotide polymorphisms of concatenated and aligned porB and tbpB sequences.

NG-STAR software platform.The NG-STAR analysis platform was written in Perl with the Perl Catalyst Model-View-Controller (MVC) framework (http://www.catalystframework.org/ ). It uses the MariaDB database and Apache Web server software on main and backup servers. The system is available to the research community as a virtual machine image running the CentOS 7 operating system. The software is released under the Apache 2.0 open-source license (available at https://github.com/phac-nml/ngstar ). The NG-STAR Web service is publicly available (https://ngstar.canada.ca ).

NG-STAR takes the full set of user-submitted locus sequences (trimmed or untrimmed) and first looks for exact matches by using SQL queries. If exact matches are found for all loci, NG-STAR returns the allele type and corresponding NG-STAR type (sequence type) if it exists. If the allele type combination is not associated with an NG-STAR type, the system will report the allele types and give an option to submit the novel allele type combination for curation and possible inclusion in the NG-STAR allele schema. Submitted sequences without exact matches in the schema are aligned against its corresponding set of alleles by using nucleotide-level BLAST+ (43); high-scoring segment pairs above a similarity of 90% and any match length are reported as a partial match. If one or more of the submitted sequences have partial matches, the user is given an option to submit the sequence for curation, although the system will not report a sequence type. Novel alleles (full length) and profiles may be submitted for manual curation through a curator notification functionality, where the submitter provides the DNA sequence; trace file; contact information (e-mail); and, ideally, additional background information such as isolation date, clinical source, country of origin, and antimicrobial MICs.

NG-STAR loci.The DNA sequences of 7 genes commonly associated with resistance to β-lactam antimicrobials (e.g., cephalosporins and penicillins), macrolides, or fluoroquinolones (14) were used, including penA, mtrR, porB, ponA, gyrA, parC, and 23S rRNA. Primers recommended for PCR and conventional Sanger sequencing and amplicon sizes and fragment sizes used for typing are listed in Table 6.

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TABLE 6

Gene targets and suggested primers utilized in the NG-STAR typing scheme

NG-STAR uses the historical 82-amino-acid-based penA nomenclature developed by Ohnishi et al. (9) as a basis for allele numbering. This includes penA types I to XXXVIII (now penA types 1 to 38 in Arabic numerals) and sequentially adds novel types as they are submitted, beginning with penA type 39 (Table 1). When a novel amino acid substitution profile is detected, a sequential whole number is assigned to the allele. Novel whole-gene DNA sequences with synonymous mutations coding for a preexisting penA type will be indicated by an incremental decimal number. For example, the 12th unique whole-gene DNA sequence for the historical penA type XXXIV amino acid profile would be assigned allele number 34.012. For the remainder of the loci, each unique sequence is assigned a sequential allele number. NG-STAR mtrR alleles include a portion of the promoter starting approximately 66 to 68 bp before the ATG start codon of the coding region and extending the length of mtrR. To limit a potentially very large number of alleles of the hypervariable porB gene, a small 60-bp segment is used in NG-STAR that includes the G120- and A121-encoding region associated with antimicrobial resistance. Although the G120/A121 mutations apply only to porB1b, due to the high level of homology of porB1a sequences, and for enhanced typing purposes, both genes are included in NG-STAR. NG-STAR uses a 75-bp portion of ponA spanning amino acid L421; a 264-bp portion of gyrA spanning amino acids S91 and D95; and a 332-bp portion of parC spanning amino acids D86, S87, and S88. 23S rRNA mutations of interest include A2059G and/or C2611T (E. coli coordinates, corresponding to A2045G and C2597T, respectively, of N. gonorrhoeae NCCP11945 [GenBank accession number NC_011035.1 ]). Of the four 23S rRNA alleles present in the N. gonorrhoeae genome, only a single 567-nucleotide sequence is analyzed by NG-STAR. If no mutated alleles are present (wild type), any one of the alleles may be submitted; however, if a mutation is present in any one of the alleles, the sequence with a mutation is submitted, even if it is in the minority. The combination of allele numbers for all 7 genes (allelic profile) corresponds to a unique NG-STAR type.

Information for a representative reference strain for each allele and NG-STAR type, such as the level of antimicrobial resistance and relevant clinical and epidemiological data, is available. Allelic queries with sequences longer than those stored in the library are automatically trimmed to give an exact allele type match if present in the database, whereas shorter sequences will return possible allele type matches (hits), and users are encouraged to submit a longer DNA sequence to accurately identify an allele. An NG-STAR type is returned only with a complete allelic profile generated from exact allelic matches. Novel alleles (full-length queries containing mismatches) and profiles may be submitted through curator notification functionality, where the submitter provides the DNA sequence(s); contact information (e-mail); and, ideally, additional background information such as isolation date, clinical source, country of origin, epidemiological background information, and antimicrobial MICs. Curator comments for each allele and NG-STAR type will be presented, which may include characteristic mutations or other items of interest for that allele.

Statistical comparisons and calculations.The measure of association was determined by using χ2 or Fisher's exact test using OpenEpi version 3.01 (44). Two-tailed differences with P values of <0.05 at a 95% CI were considered statistically significant. The discriminatory power of the NG-STAR, NG-MAST, and MLST schemes was calculated by using Simpson's diversity index (32, 45), and congruence of the methods was determined by using the adjusted Wallace coefficient (46) (calculated by using the online tool available at http://comparingpartitions.info ).

ACKNOWLEDGMENTS

We thank Pam Sawatzky, Gary Liu, Karla Montes, and Shelley Peterson from the Streptococcus and Sexually Transmitted Diseases Unit at the NML for their laboratory technical assistance; the NML Science Technology Cores and Services Division for their genomics infrastructure, software tools, technical support, and guidance; and the NML Genomics Core Facility for their next-generation sequencing and analytical expertise. We acknowledge receipt of U.S. isolates and associated data from the Gonococcal Isolate Surveillance Project (GISP).

The findings and conclusions in this report are those of the authors and do not necessarily represent the views of the CDC.

Funding for this project was provided by a grant from the Government of Canada's Genomics Research and Development Initiative program.

FOOTNOTES

    • Received 16 January 2017.
    • Returned for modification 6 February 2017.
    • Accepted 14 February 2017.
    • Accepted manuscript posted online 22 February 2017.
  • Supplemental material for this article may be found at https://doi.org/10.1128/JCM.00100-17 .

  • © Crown copyright 2017.

The government of Australia, Canada, or the UK (“the Crown”) owns the copyright interests of authors who are government employees. The Crown Copyright is not transferable.

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Neisseria gonorrhoeae Sequence Typing for Antimicrobial Resistance, a Novel Antimicrobial Resistance Multilocus Typing Scheme for Tracking Global Dissemination of N. gonorrhoeae Strains
W. Demczuk, S. Sidhu, M. Unemo, D. M. Whiley, V. G. Allen, J. R. Dillon, M. Cole, C. Seah, E. Trembizki, D. L. Trees, E. N. Kersh, A. J. Abrams, H. J. C. de Vries, A. P. van Dam, I. Medina, A. Bharat, M. R. Mulvey, G. Van Domselaar, I. Martin
Journal of Clinical Microbiology Apr 2017, 55 (5) 1454-1468; DOI: 10.1128/JCM.00100-17

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Neisseria gonorrhoeae Sequence Typing for Antimicrobial Resistance, a Novel Antimicrobial Resistance Multilocus Typing Scheme for Tracking Global Dissemination of N. gonorrhoeae Strains
W. Demczuk, S. Sidhu, M. Unemo, D. M. Whiley, V. G. Allen, J. R. Dillon, M. Cole, C. Seah, E. Trembizki, D. L. Trees, E. N. Kersh, A. J. Abrams, H. J. C. de Vries, A. P. van Dam, I. Medina, A. Bharat, M. R. Mulvey, G. Van Domselaar, I. Martin
Journal of Clinical Microbiology Apr 2017, 55 (5) 1454-1468; DOI: 10.1128/JCM.00100-17
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  • Article
    • ABSTRACT
    • INTRODUCTION
    • RESULTS
    • DISCUSSION
    • MATERIALS AND METHODS
    • ACKNOWLEDGMENTS
    • FOOTNOTES
    • REFERENCES
  • Figures & Data
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KEYWORDS

Anti-Bacterial Agents
Drug Resistance, Multiple, Bacterial
multilocus sequence typing
Neisseria gonorrhoeae
Neisseria gonorrhoeae
antimicrobial resistance
molecular epidemiology
sequence typing

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