Table 1.

Most common Neisseria gonorrhoeae genotypes in isolates from seven cities representing all five macroregions of Brazil (n =548)

CityMost common NG-MASTa STs (%)
Most common MLSTb STs (%)
Most common NG-STARc STs (%)
firstsecondthirdfirstsecondthirdfirstsecondthird
Belo Horizonte (n = 103)1407, 19 668 (both 13.6%)338 (5.8)19 661 (4.9)1596 (20.4)1901 (16.5)1588 (7.8)90, 2129 (both 15.5%)1560 (6.8)2019 (4.9)
Brasilia
(n = 68)
338 (10.3)15 915 (5.9)334, 6066, 19 699 (all 13.2%)1588 (30.9)1901 (16.2)7363 (7.4)90 (7.4)2098 (5.9)247, 2045, 2077, 2228 (all 17.6%)
Florianópolis (n = 74)338 (8.1)1582 (6.8)1407, 6827, 17 391 (all 16.2%)1901 (24.3)1588 (20.3)13 844 (9.5)90 (14.9)871 (6.8)151, 1298, 1873, 2141 (all 21.6%)
Manaus (n = 99)1407, 19 788 (both 12.1%)16 547, 16 556 (both 10.1%)16 548, 16 551, 19 723 (all 12.1%)13 429 (21.2)1901 (17.2)1588 (12.1)2217 (11.1)2092, 2218 (both 12.1%)90 (5.1)
Porto Alegre (n = 72)19 678, 19 823 (both 16.7%)338 (5.6)2063, 18 193, 19 725 (all 12.5%)8161 (13.9)13 844 (11.1)9363, 14 921 (both 19.4%)467 (6.9)2041, 2117 (both 11.1%)42, 90, 178, 303, 2027 (all 20.8%)
Salvador (n = 104)1407 (10.6)19 663 (5.8)4332 (4.8)1588 (27.9)1901 (15.4)8161 (11.5)90 (12.5)2079 (8.7)384, 2076 (both 13.5%)
São Paulo (n = 28)19 704 (14.3)338 (10.7)2400 (7.1)1901 (32.1)1588 (14.3)7363, 8161, 11 864 (all 21.4%)1601 (14.3)90, 439, 1873 (all 21.4%)singletons (64.3)
All (n = 548)338 (5.7)1407 (5.3)1582, 2992, 6066 (all 4.4%)1901 (17.2)1588 (16.8)8161 (5.5)90 (8.6)2217 (2.0)2076, 2079 (both 3.6%)
CityMost common NG-MASTa STs (%)
Most common MLSTb STs (%)
Most common NG-STARc STs (%)
firstsecondthirdfirstsecondthirdfirstsecondthird
Belo Horizonte (n = 103)1407, 19 668 (both 13.6%)338 (5.8)19 661 (4.9)1596 (20.4)1901 (16.5)1588 (7.8)90, 2129 (both 15.5%)1560 (6.8)2019 (4.9)
Brasilia
(n = 68)
338 (10.3)15 915 (5.9)334, 6066, 19 699 (all 13.2%)1588 (30.9)1901 (16.2)7363 (7.4)90 (7.4)2098 (5.9)247, 2045, 2077, 2228 (all 17.6%)
Florianópolis (n = 74)338 (8.1)1582 (6.8)1407, 6827, 17 391 (all 16.2%)1901 (24.3)1588 (20.3)13 844 (9.5)90 (14.9)871 (6.8)151, 1298, 1873, 2141 (all 21.6%)
Manaus (n = 99)1407, 19 788 (both 12.1%)16 547, 16 556 (both 10.1%)16 548, 16 551, 19 723 (all 12.1%)13 429 (21.2)1901 (17.2)1588 (12.1)2217 (11.1)2092, 2218 (both 12.1%)90 (5.1)
Porto Alegre (n = 72)19 678, 19 823 (both 16.7%)338 (5.6)2063, 18 193, 19 725 (all 12.5%)8161 (13.9)13 844 (11.1)9363, 14 921 (both 19.4%)467 (6.9)2041, 2117 (both 11.1%)42, 90, 178, 303, 2027 (all 20.8%)
Salvador (n = 104)1407 (10.6)19 663 (5.8)4332 (4.8)1588 (27.9)1901 (15.4)8161 (11.5)90 (12.5)2079 (8.7)384, 2076 (both 13.5%)
São Paulo (n = 28)19 704 (14.3)338 (10.7)2400 (7.1)1901 (32.1)1588 (14.3)7363, 8161, 11 864 (all 21.4%)1601 (14.3)90, 439, 1873 (all 21.4%)singletons (64.3)
All (n = 548)338 (5.7)1407 (5.3)1582, 2992, 6066 (all 4.4%)1901 (17.2)1588 (16.8)8161 (5.5)90 (8.6)2217 (2.0)2076, 2079 (both 3.6%)
a

NG-MAST, Neisseria gonorrhoeae Multi-Antigen Sequence Typing.

b

MLST, Multi-Locus Sequence Typing.

c

NG-STAR, Neisseria gonorrhoeae Sequence Typing for Antimicrobial Resistance.

Table 1.

Most common Neisseria gonorrhoeae genotypes in isolates from seven cities representing all five macroregions of Brazil (n =548)

CityMost common NG-MASTa STs (%)
Most common MLSTb STs (%)
Most common NG-STARc STs (%)
firstsecondthirdfirstsecondthirdfirstsecondthird
Belo Horizonte (n = 103)1407, 19 668 (both 13.6%)338 (5.8)19 661 (4.9)1596 (20.4)1901 (16.5)1588 (7.8)90, 2129 (both 15.5%)1560 (6.8)2019 (4.9)
Brasilia
(n = 68)
338 (10.3)15 915 (5.9)334, 6066, 19 699 (all 13.2%)1588 (30.9)1901 (16.2)7363 (7.4)90 (7.4)2098 (5.9)247, 2045, 2077, 2228 (all 17.6%)
Florianópolis (n = 74)338 (8.1)1582 (6.8)1407, 6827, 17 391 (all 16.2%)1901 (24.3)1588 (20.3)13 844 (9.5)90 (14.9)871 (6.8)151, 1298, 1873, 2141 (all 21.6%)
Manaus (n = 99)1407, 19 788 (both 12.1%)16 547, 16 556 (both 10.1%)16 548, 16 551, 19 723 (all 12.1%)13 429 (21.2)1901 (17.2)1588 (12.1)2217 (11.1)2092, 2218 (both 12.1%)90 (5.1)
Porto Alegre (n = 72)19 678, 19 823 (both 16.7%)338 (5.6)2063, 18 193, 19 725 (all 12.5%)8161 (13.9)13 844 (11.1)9363, 14 921 (both 19.4%)467 (6.9)2041, 2117 (both 11.1%)42, 90, 178, 303, 2027 (all 20.8%)
Salvador (n = 104)1407 (10.6)19 663 (5.8)4332 (4.8)1588 (27.9)1901 (15.4)8161 (11.5)90 (12.5)2079 (8.7)384, 2076 (both 13.5%)
São Paulo (n = 28)19 704 (14.3)338 (10.7)2400 (7.1)1901 (32.1)1588 (14.3)7363, 8161, 11 864 (all 21.4%)1601 (14.3)90, 439, 1873 (all 21.4%)singletons (64.3)
All (n = 548)338 (5.7)1407 (5.3)1582, 2992, 6066 (all 4.4%)1901 (17.2)1588 (16.8)8161 (5.5)90 (8.6)2217 (2.0)2076, 2079 (both 3.6%)
CityMost common NG-MASTa STs (%)
Most common MLSTb STs (%)
Most common NG-STARc STs (%)
firstsecondthirdfirstsecondthirdfirstsecondthird
Belo Horizonte (n = 103)1407, 19 668 (both 13.6%)338 (5.8)19 661 (4.9)1596 (20.4)1901 (16.5)1588 (7.8)90, 2129 (both 15.5%)1560 (6.8)2019 (4.9)
Brasilia
(n = 68)
338 (10.3)15 915 (5.9)334, 6066, 19 699 (all 13.2%)1588 (30.9)1901 (16.2)7363 (7.4)90 (7.4)2098 (5.9)247, 2045, 2077, 2228 (all 17.6%)
Florianópolis (n = 74)338 (8.1)1582 (6.8)1407, 6827, 17 391 (all 16.2%)1901 (24.3)1588 (20.3)13 844 (9.5)90 (14.9)871 (6.8)151, 1298, 1873, 2141 (all 21.6%)
Manaus (n = 99)1407, 19 788 (both 12.1%)16 547, 16 556 (both 10.1%)16 548, 16 551, 19 723 (all 12.1%)13 429 (21.2)1901 (17.2)1588 (12.1)2217 (11.1)2092, 2218 (both 12.1%)90 (5.1)
Porto Alegre (n = 72)19 678, 19 823 (both 16.7%)338 (5.6)2063, 18 193, 19 725 (all 12.5%)8161 (13.9)13 844 (11.1)9363, 14 921 (both 19.4%)467 (6.9)2041, 2117 (both 11.1%)42, 90, 178, 303, 2027 (all 20.8%)
Salvador (n = 104)1407 (10.6)19 663 (5.8)4332 (4.8)1588 (27.9)1901 (15.4)8161 (11.5)90 (12.5)2079 (8.7)384, 2076 (both 13.5%)
São Paulo (n = 28)19 704 (14.3)338 (10.7)2400 (7.1)1901 (32.1)1588 (14.3)7363, 8161, 11 864 (all 21.4%)1601 (14.3)90, 439, 1873 (all 21.4%)singletons (64.3)
All (n = 548)338 (5.7)1407 (5.3)1582, 2992, 6066 (all 4.4%)1901 (17.2)1588 (16.8)8161 (5.5)90 (8.6)2217 (2.0)2076, 2079 (both 3.6%)
a

NG-MAST, Neisseria gonorrhoeae Multi-Antigen Sequence Typing.

b

MLST, Multi-Locus Sequence Typing.

c

NG-STAR, Neisseria gonorrhoeae Sequence Typing for Antimicrobial Resistance.

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