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Past Issue

Vol. 10, No. 4
April 2004

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Materials and Methods
Results
Discussion
References
Figure 1
Figure 2
Appendix Table 1
Appendix Table 2
Appendix References

Research

PorA Variable Regions of Neisseria meningitidis

Joanne E. Russell,*† Keith A. Jolley,* Ian M. Feavers,† Martin C. J. Maiden,* and Janet Suker†Comments
*University of Oxford, Oxford, United Kingdom; and †National Institute for Biological Standards and Control, South Mimms Potters Bar, United Kingdom

Suggested citation for this article: Russell JE, Jolley KA, Feavers IM, Maiden MCJ, Suker J. PorA variable regions of Neisseria meningitidis. Emerg Infect Dis [serial online] 2004 Apr [date cited]. Available from: http://www.cdc.gov/ncidod/EID/vol10no4/03-0247.htm


Subtypes, defined by variation in the outer membrane protein PorA, are an integral part of the characterization scheme for Neisseria meningitidis. Identification of these variants remains important as the PorA protein is a major immunogenic component of several meningococcal vaccines under development, and characteristics of PorA are used to provide detailed epidemiologic information. Historically, serosubtypes have been defined by reactivity with a set of monoclonal antibodies. However, nucleotide sequence analyses of porA genes have established that the panel of serosubtyping monoclonal antibodies is not exhaustive, and many porA variants cannot be detected. In addition, the nomenclature system used to define subtypes is inadequate. We examined all available nucleotide sequences of the porA VR1 and VR2 regions to identify and define subtype families. A revised nomenclature scheme, compatible with the previous serologic nomenclature scheme, was devised. A Web-accessible database describing this nomenclature and its relationship to previous schemes was established (available from: http://neisseria.org/nm/typing/pora).

Neisseria meningitidis is a major cause of bacterial meningitis and septicemia worldwide (1). In the absence of a comprehensive vaccine against this organism, the characterization of its variable surface antigens is important for epidemiologic monitoring and vaccine development (2). The serologic characterization scheme for meningococci comprises the following: groups, based on variants in the capsular polysaccharide; types, based on variants of the PorB outer membrane protein (OMP); subtypes, based on variants of the PorA OMP; and immunotypes, based on variants in the lipooligosaccharide (3). Within this scheme, PorA, also known as the class 1 OMP, is assigned the prefix "P1." followed by numbers, separated by commas, that correspond to the subtype designation (thus: P1.7,16). The two PorA variable regions (VR1 and VR2) that confer the subtypes are especially important because they elicit bactericidal antibodies in humans (4). Consequently, a number of meningococcal vaccines under development contain the PorA protein as a major component (5).

Nucleotide sequence analyses of porA genes from multiple meningococcal isolates have established that the panel of serosubtyping monoclonal antibodies (MAbs) is not comprehensive. Meningococci are frequently only partially serosubtyped, and an increasing number of isolates are classified as non-serosubtypeable, either because a variant is not recognized by MAbs or because PorA is not expressed. This heterogeneous group of isolates can be fully characterized on the basis of their PorA VR1 and VR2 amino acid sequences deduced from nucleotide sequence data. To accommodate subtypes identified on the basis of sequence data alone, the scheme originally developed for MAb reactivity data (3) was modified so that VR families and variants were assigned on the basis of amino acid sequence relationships rather than their reactivity with specific MAbs. A distance matrix of all known VR1 and VR2 amino acid sequences was constructed, and VR amino acid sequences containing >80% identity to each other were grouped into VR families. The VR epitope recognized by an existing MAb raised against PorA, or the first defined amino acid sequence of a VR family, was arbitrarily designated as the prototype VR for that particular family. Successive distinct members of a VR family were designated as minor variants of that family, and as such were sequentially assigned an additional unique lower case letter, e.g., P1.5a, P1.5b, P1.5c (6).

Although this nomenclature system was sufficiently flexible to accommodate both novel subtypes determined from nucleotide sequence analyses and those defined by the reactivity of specific MAbs, limitations have become apparent. First, while the 80% similarity rule has generally proved adequate to assign VR families, it is open to misinterpretation, leading to the inappropriate designation of VR sequences. Second, the assignment of minor variants within VR families is limited by the number of letters in the alphabet (7,8). We present a revised nomenclature, which addresses these issues and shows the relationship of new designations to the previous designations and to the reactivities of the MAb panel. A database accessible through the Internet has been established, which will enable this scheme to be continually updated.

Materials and Methods

Bacterial Isolates

Two sets of meningococcal isolates were used for porA gene sequencing in this work. The first was a set of 393 isolates from cases of disease from diverse locations throughout the United Kingdom. These included 125 isolates from 1975; 100 isolates from 1985; 100 isolates from1995; and 18 urethral isolates, provided by the Meningococcal Reference Unit, Manchester Public Health Laboratory, Manchester. Fifty isolates were provided by the Scottish Meningococcus and Pneumococcus Reference Laboratory, Glasgow. The second set of isolates included the 107 globally representative isolates obtained from both patients and carriers; these isolates were used to develop and evaluate the multilocus sequence typing isolate characterization scheme (9).

porA Gene Sequences and Validation

Nucleotide sequences of porA genes encoding the variants included in Appendix Tables 1 and 2 were obtained from the literature or GenBank, determined by sequencing of polymerase chain reaction (PCR) products from the above isolates, or submitted by personal communication or to the PorA Web site. Where possible, sequences not determined in this study were validated by requesting sequence electropherograms from depositors. When electropherograms could not be resolved, isolates were requested and the porA genes resequenced. Seven sequences contained errors on resequencing original isolates and were therefore removed from the new nomenclature scheme. The deposited VR sequences used in this study were those submitted to the PorA Web site by June 11, 2001.

DNA Amplification and Nucleotide Sequence Determination of porA

Boiled meningococcal suspensions or DNA prepared from such suspensions with an Isoquick kit (Microprobe Corporation, Washington) were used as template to amplify the porA gene by using Taq Polymerase (Applied Biosystems, by Roche Molecular Systems Inc., Branchburg, NJ) with primers 210 and 211 (10). The amplification products were purified by precipitation with the addition of 0.6 V of 20% polyethylene glycol 8000/2.5M NaCl (11) and their nucleotide sequences determined at least once on each DNA strand. Sequence reactions were carried out with primers 8L, 8U, 103L, 103U, 122L, 122U, 210, and 211 (10) using BigDye Ready Reaction Mix (Applied Biosystems) in accordance with the manufacturer’s instructions. Unincorporated dye terminators were removed by precipitation of the termination products with the addition of 2.6 V of 96% ethanol and 115 mM sodium acetate. The reaction products were then separated and detected with an ABI Prism 377 automated DNA sequencer (PE Biosystems). Sequences were assembled from the resultant electropherograms with the STADEN suite of computer programs (12).

Manipulation and Alignment of Sequences

Sequences were manipulated in SeqLab, part of the GCG software package (13). All unique nucleotide sequences for each VR were aligned with reference to both the nucleotide and the amino acid sequences, such that all sequences remained in frame, gaps were minimized, and similar codons were aligned.

Identification of Families and Variants

To remain consistent with serologic and historical nomenclature, where a variant had been identified previously by serologic means, the identified sequence was used as a family prototype around which new sequences were grouped. An 80% amino acid identity cut-off— against the shortest sequence length when the sequences were of different length to allow for insertions, duplications, and deletions—was used as a guide in this grouping. In a few cases, a variant was assigned to a particular family even though the amino acid identity was slightly less than 80%, compared to the family prototype. In these cases, the new variant was still more similar to this particular family than to others but also contained a particular motif that was representative of family members. Therefore, a combination of overall similarity and presence of particular motifs was used to make the groupings. In a few cases, family-specific motifs were missing, but the sequences were otherwise identical or highly similar to members of the family. In such cases, the sequence was assigned as a variant of the family.

To further ensure that family groupings were consistent, the relationships among aligned nucleotide sequences encoding VR1 or VR2 were visualized by split decomposition analysis using SPLITSTREE version 3.1 (14). The split decomposition analysis was carried out in a sequential manner. In each analysis, a limited number of families were resolved, and the remaining variants were clustered together at a node. The variants that were resolved first were removed, and the analysis was repeated to resolve further families, and so on until all family groups were resolved (15). For analysis of the whole datasets, Hamming distances (equivalent to p-distance) were used because some of the families were so diverse that using a substitution model was not possible. This method resolved the most distantly related families. The Kimura three parameter model (16) was used to determine whether related sequences constituted families.

A database and Web site containing all the assignments have been established (available from: http://neisseria.org/nm/typing/pora). The sequences are stored in a PostgreSQL database running on Linux. Perl scripts enable the database to be queried against either peptide or nucleotide sequences; when an identical match is not found, a BLAST search (17) can be performed to identify the nearest variant and family. Any length of sequence can be queried, enabling the variants to be quickly identified from a whole or partial gene sequence.

Results

Validation of Sequence Variants

The sequences defining the following subtypes in the previous nomenclature were not included in the new nomenclature as a consequence of the sequence validation: P1.2a, P1.2d, P1.5b, P1.10h, P1.10i, P1.10j, P1.18b, P1.19c, P1.24, P1.29.

Resolution of VR Families

Figure 1
Figure 1.

Click to view enlarged image

Figure 1. Alignment of the amino acid and corresponding nucleotide sequence of each VR1 family "prototype."

  

Figure 2

Figure 2.
Click to view enlarged image

Figure 2. Alignment of the amino acid and corresponding nucleotide sequence of each VR2 family "prototype."

The amino acid sequences of the prototype member of each of the VR families identified are shown aligned in Figures 1 and 2 together with corresponding nucleotide sequences. A total of 10 VR1 and 17 VR2 families were resolved. The most closely related VR families are VR2 P1.2 and VR2 P1.10, although the family prototypes are recognized by specific MAbs that are not cross-reactive. Both families start with a consensus amino acid sequence of HFVQ and end with PTLVP. They can be differentiated, however, by split decomposition where they cluster separately (15) and by certain motifs in their sequences. The P1.10 family members have a consensus motif QNKQNQ, with either the first or second triplet commonly repeated, while the P1.2 family members usually start with HFVQQ and commonly have variations of PQSQ or PKSQ. Grouped within the P1.2 family are four sequences that were previously designated as the P1.33 family. Like sequences in most of the P1.2 family members, these start with HFVQQ and, although they mostly end with SKPTLVP rather than SQPTLVP, they maintain the position of the serine residue.

Variation within Families

There was more variation within VR2 (161 unique variants) than in VR1 (73 unique variants). The variation in the VR families was mainly due to changes that could be ascribed to single nonsynonymous base changes. Although there may be minor differences in the relative contribution of nonsynonymous base changes and insertions or deletions between individual VR families, approximately twice as many variants have arisen as a result of point mutations than from any other type of mutation. The repetition of amino acid motifs or single residues was common within VR2. An example is the repetition of a threonine residue within the VR2 P1.13 family, where there are sequences with three to nine consecutive threonine residues.

Nomenclature Scheme

A consultation process was conducted by email among users of the PorA Web site and other interested parties. Several formats for a revised nomenclature were proposed and a request for alternatives made. The consensus opinion was to replace letters with numbers in subtype variant names in the following format: the prefix "P1." followed by the VR1 family name, followed by a dash and then the variant number, followed by a comma and the VR2 variant name in the same format. When a family prototype VR, or first sequence belonging to a family, was identified, no variant number was used; for example, a protein with VR1 family 5 variant 3, and VR2 family 10 prototype would be written as: P1.5–3,10. This scheme was then used to rename all of the variants examined. The new names of variants are listed in Appendix Tables 1 and 2, together with the previous nomenclature, peptide sequence, and source or reference. A database accessible through the Internet was established (available from: http://neisseria.org/nm/typing/pora).

Discussion

These analyses confirm that, while diverse, the VR1 and VR2 peptide sequences can be assigned to distinct meningococcal PorA variant sequence families. However, these regions of the PorA protein are likely to be exposed to continual selection imposed by host immune responses, and VR families might evolve over time into different families. The similarity of the P1.2 and P1.10 VR2 families is perhaps a consequence of relatively recent divergence of one VR family into two. Devising a scheme for defining the boundaries of VR families that accurately reflects the evolution of these regions is therefore not possible. Moreover, the high diversity of these sequences presents problems in developing a facile nomenclature. In revising the nomenclature system, we used amino acid sequences, deduced from nucleotide sequences, of the two VRs as the definition of subtype variants. The replacement of letters with numbers in subtype variant designations overcomes the shortage of letters but entails a change of name of variants.

Since MAbs are still routinely used globally for meningococcal serosubtyping, to avoid confusion, family names from the previous nomenclature were retained when possible, and especially when the family prototype was specifically recognized by a typing MAb. The new nomenclature builds on the previous designations but has the advantage of a limitless capacity for expanding the number of variants included. Retaining family names, when they can be shown to be reasonable, results in some minor changes to some family groupings. As meningococci evolve, the use of nucleotide sequencing to determine the VR peptide sequences will be increasingly important for epidemiologic studies and vaccine design, especially as the MAb panel gradually becomes less useful and sequencing technology becomes more available.

In the course of this study, a number of VR sequences that had been deposited previously in GenBank were found, when resequenced, to contain errors and were in fact previously identified variants. These sequences had been given new variant names and, in two cases, were sufficiently novel to warrant the naming of new families. The widespread use and, more importantly, the comparison of VR sequence data among different laboratories require consistency of nomenclature and a high level of data accuracy. One way to achieve this is through a central PorA database in which sequence electropherograms are submitted for verification before new variant numbers are assigned. We have established a Web site for this role (available from: http://neisseria.org/nm/typing/pora). All known variants are listed, and a database query page is provided so that a VR sequence can be typed or pasted in and identified if previously seen. The Web site also includes links to the porB typing and MLST Web pages. The PorA Web site is now in widespread use by the research community and provides a single point of focus to ensure consistency in identifying and naming this important protein.

This work was funded by the Meningitis Research Foundation and the Wellcome Trust. M.C.J.M. is a Wellcome Trust Senior Research Fellow.

Dr. Russell is a scientist whose research interest is the molecular study of infectious disease agents.

References

  1. Pollard AJ, Maiden MCJ. Meningococcal disease. Totowa (NJ): Humana Press; 2001.
  2. Kuipers B, van den Dobbelsteen G, Wedege E, van Alphen L. Serological characterization. In: Pollard AJ, Maiden MC, editors. Meningococcal disease: methods and protocols. Totowa (NJ): Humana Press; 2001. p. 131–45.
  3. Frasch CE, Zollinger WD, Poolman JT. Serotype antigens of Neisseria meningitidis and a proposed scheme for designation of serotypes. Rev Infect Dis 1985;7:504–10.
  4. Martin SL, Borrow R, van der Ley P, Dawson M, Fox AJ, Cartwright KAV. Effect of sequence variation in meningococcal PorA outer membrane protein on the effectiveness of a hexavalent PorA outer membrane vesicle vaccine. Vaccine 2000;18:2476–81.
  5. Jodar L, Feavers IM, Salisbury D, Granoff DM. Development of vaccines against meningococcal disease. Lancet 2002;359:1499–508.
  6. Suker J, Feavers IM, Achtman M, Morelli G, Wang J-F, Maiden MCJ. The porA gene in serogroup A meningococci: evolutionary stability and mechanism of genetic variation. Mol Microbiol 1994;12:253–65.
  7. Sacchi CT, Lemos APS, Brandt ME, Whitney AM, Melles CEA, Solari CA, et al. Proposed standardisation of Neisseria meningitidis PorA variable region typing nomenclature. Clin Diagn Lab Immunol 1998;5:845–55.
  8. Maiden MCJ, Russell J, Suker J, Feavers IM. Neisseria meningitidis subtype nomenclature. Clin Diagn Lab Immunol 1999;6:771–2.
  9. Maiden MC, Bygraves JA, Feil E, Morelli G, Russell JE, Urwin R, et al. Multilocus sequence typing: a portable approach to the identification of clones within populations of pathogenic microorganisms. Proc Natl Acad Sci U S A 1998;95:3140––5.
  10. Feavers IM, Maiden MCJ. A gonococcal porA pseudogene: implications for understanding the evolution and pathogenicity of Neisseria gonorrhoeae. Mol Microbiol 1998;30:647–56.
  11. Embley TM. The linear PCR reaction: a simple and robust method for sequencing amplified rRNA genes. Lett Appl Microbiol 1991;13:171–4.
  12. Staden R. The Staden sequence analysis package. Mol Biotechnol 1996;5:233–41.
  13. Womble DD. GCG: the Wisconsin Package of sequence analysis programs. Methods Mol Biol 2000;132:3–22.
  14. Huson DH. SplitsTree: analyzing and visualizing evolutionary data. Bioinformatics 1998;14:68–73.
  15. Russell J. Variation in the PorA protein and clonal diversity within the UK Neisseria meningitidis population over a twenty year period (1975–1995). [doctoral thesis]. Oxford: The Open University; 2001.
  16. Takahata N, Kimura M. A model of evolutionary base substitutions and its application with special reference to rapid change of pseudogenes. Genetics 1981;98:641–57.
  17. Altschul SF, Madden TL, Schaffer AA, Zhang J, Zhang Z, Miller W, et al. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Res 1997;25:3389–402.

 

Appendix Table 1. VR1 sequence nomenclaturea

Variant

Previous nomenclature

VR1 peptide sequence

Source or reference


5

5

PLQNIQPQVTKR

(1)

5–1

5a

PLQNIQQPQVTKR

(2,3)

Removed

5b

PALPNIQPQVTKA

(4)

5–2

5c

PLPNIQPQVTKR

(3)

5–3

5d

PLQNIKQPQVTKR

(5)

5–4

5e

PLQNIQKPQVTKR

(6)

5–5

-

PLQNIQPSVTKR

WS

5–6

-

LLQNIQQPQVTKR

WS


7

7

AQAANGGASGQVKVTKVTKA

(7)

7–1

7a

AQAANGGAGASGQVKVTKVTKA

(1)

7–2

7b

AQAANGGASGQVKVTKA

(3)

7–3

7c

AQAANGGARASGQVKVTKVTKA

(3)

7–4

7d

AQAANGGAGASGQVKVTKA

(3)

7–5

7e

AQAANGGAVASGQVKVTKVTKA

(5)

7–6

7f

AQAANGGASDQVKVTKA

GenBank AF146084

7–7

7g

AQSANGGASGQVKVTKVTKA

(6)

7–8

7h

AQAANGGAGASGQVKVTKVTKVTKA

(6)

7–9

7i

AQAANGGASGANGGASGQVKVTKA

This study

7–10

-

AQAANGGVSGQVKVTKVTKA

WS

7–11

-

AQAANGGASGQVKVTKVTKVTKA

WS


12

12

KLSSTNAKTGNKVEVTKA

(1)

12–1

12a

KPSSTNAKTGNKVEVTKA

(8)

12–2

12b

KPSSTKAKTGNKVEVTKA

(5)

12–3

12c

KPSSTNAKTGNKVKVTKA

WS

12–4

12d 

KSSNTNAKTSNKVEVTKA

WS

12–5

12e

KPSSTNPKTGNKVEVTKA

(6)

12–6

12f

  QPSNTNGKTGNKVEVTKA

(6)

12–7

-

KPSSTNANSSTNAKTGNKVEVTKA

WS

12–8

-

KPSSTNAKTSNEVEVTKA

WS


17

17

PPQKNQSQPVVTKA

(1)

17–1

17a

PPPKNQSQPVVTKA

This study

17–2

-

PPQKNQSQPLVTKA

WS


18

18

PPSKGQTGNKVTKG

(1)

18–1

18a

PPSQGQTGNKVTKG

(3)

Removed

18b

PPSKGQTAIKVTKA

(9)

18–2

18c

PPSKSQTGNKVTKG

This study

18–3

18d

PPSKGQTGNKVTKA

This study

18–4

18e

PPSKGQTGNKVIKG

GenBank AF162345

18–5

18f

 PPSKGQVGNKVTKG

(6)

18–6

18g,32

QLSKGQVGNKVTKG

This study

18–7

18h,32a

QPSKGQVGNKVTKG

(8)

18–8

-

PPSKGQTGNKVTNG

GenBank X81111

18–9

-

PPPKDQTGNKVTKG

WS

18–10

-

PPSEGQTGNTVTKA

WS


19

19

PPSKSQPQVKVTKA

(1)

19–1

19a

PPSKSQSQVKVTKA

(10)

19–2

19b

PPSKSQLQVKVTKA

GenBank Z14291

Removed

19c

PASKSQPQVKVTKA

(4)

19–3

19d

PRSKSQPQVKVTKA

(11)

19–4

19e

PPSNSQPQVKVTKA

(11)

19–5

19f

PLSKSQPQVKVTKA

(11)

19–6

19g

PPLKSQPQVKVTKA

(6)

19–7

19h

PSSKSQPQVKVTKA

(6)

19–8

19i

PPPKSQPQVKVTKA

WS

19–9

19j

PPSKSQPQVKVTQVKVTKA

WS

19–10

19k

PHSKSQPQVKVTKA

WS

19–11

-

PPSRSQPQVKVTKA

(12)

19–12

-

PSSKSQSQVKVTKA

WS

19–13

-

PPSKSQTQVKVTKA

WS

19–14

-

PPSKSQHQVKVTKA

WS


20

20

QPQTANTQQGGKVKVTKA

(3)


21

21

QPQVTNGVQGNQVKVTKA

(3)

21–1

21a

QPNGVQGNQVKVTKA

This study

21–2

21b

QPQATNGVQGGQQGNQVKVTKA

This study

21–3

21c

QPQVTKGVQGNQVKVTKA

WS

21–4

21d

QPQVPNGVQGNQVKVTKA

WS

21–5

21e

QPQVPNSVQGNQVKVTKA

WS

21–6

-

QPQATNGVQGGRQGNQVTVTKA

(8)

21–7

-

QLQVTNGVQGNQVKVTKA

WS


22

22

QPSKAQGQTNNQVKVTKA

(1)

22–1

22a

QPSRTQGQTSNQVKVTKA

(8,13)

22–2

22b

QPSRTQAQTSNQVKVTKA

This study

22–3

22c

QPSKAKGQTNNQVKVTKA

WS

22–4

22d

QLSKAQGQTNNQVKVTKA

WS

22–5

-

QPSKAQGQTNNQVKVTKR

WS


Removed

29

PAPKYSTTQVTKA

(4)


31

31

PPSSNQGKNQAQTGNTVTKA

This study


aSequences that have been removed were the result of sequencing errors in the original research. WS, Web site submission.

 

Appendix Table 2. VR2 sequence nomenclaturea

Variant

Previous nomenclature

VR2 peptide sequence

Source or reference


1

1

YVAVENGVAKKVA

(1)

1–1

1a

YVAVENGATKKVA

(6)

1–2

1b

YVAVENGVVKKVA

This study

1–3

1c

YVAVENGVAKKVT

WS


2

2

HFVQQTPKSQPTLVP

(1)

-

2a

found to be 2e

(1)

2–1

2b

HFVQQPPKSQPTLVP

(10)

2–2

2c

HFVQQTPQSQPTLVP

(3)

Removed

2d

HFVQETPKSQPTLVP

(4)

2–3

2e

HFVQQPPKSQLTLVP

This study

2–4

2f

HFVQQTPQSRPTLVP

This study

2–5

2g

HFVQQIPQSQPTLVP

WS

2–6

2i

HFVQQTPTLVP

(6)

2–7

-

HFVQQTSKSQPTLVP

WS

2–8

-

HFVQQTTKSQPTLVP

WS

2–9

-

HFVQQTPQSKPTLVP

WS

2–10

-

HFVQQAPQSQSTLVP

WS

2–11

-

HFVLQTPQSQPTLVP

WS

2–12

-

HFVQQIPKSQPTLVP

WS

2–13

-

YFVQQTPQSQPTLVP

GenBank AF239810

2–14

33

HFVQQKLASKPTLVP

WS

2–15

33a

HFVQQKSTSKPTLVP

WS

2–16

33b

HFVQQKPTSKPTLVP

WS

2–17

33c

HFVQQQPTSEPTLVP

WS

2–18

-

HFVQQIPKSQPILVP

WS

2–19

-

HFVQQTSQSQPTLVP

WS

2–20

-

HFVQQTPIVQQTPKSQPTLVP

WS


3

3

TLANGANNTIIRVP

(3)

3–1

3a

TVANGANNTIIRVP

(14)

3–2

3b

TLANGANDTIIRVP

This study

3–3

-

TLANGADNTIIRVP

WS

3–4

-

TPANGANNTIIRVP

WS

3–5

-

TLAKGANNTIIRVP

WS


4

4

HVVVNNKVATHVP

(13)

4–1

4a

HVVVNNNVATHVP

(8)

4–2

4b

HVVVNNKVATHVPAKVATHVP

This study

4–3

4c

HVVVNNKVTTHVP

WS


9

9

YVDEQSKYHA

(1)

9–1

9a

YVDSKYHA

GenBank AF148643

9–2

-

YVGEQSKYHA

WS

9–3

-

YVDEQSKDHA

WS

9–4

-

YVDKQSKYHA

WS

9–5

-

YVDEQSEYHA

WS


10

10

HFVQNKQNQRPTLVP

(3)

10–1

10a

HFVQNKQNQPPTLVP

(10,15)

10–2

10b

HFVQDKKGQPPTLVP

(10,15)

10–3

10c

HFVQNKQNQQPTLVP

(10,15)

10–4

10d

HFVQNKQNKQNQPPTLVP

(10,15)

10–5

10e

HFVQNKQSQRPTLVP

(3)

10–6

10f

HFVQNKQNQQNQQNQPPTLVP

(10,15)

10–7

10g

HFVQNKQNKPPTLVP

(10,15)

Removed

10h

 

(4)

Removed

10i

(4)

Removed

10j

(4)

10–8

10k

HFVQNKQNQQNQPPTLVP

This study

10–9

10l

HFVQNKQNKQNQLPTLVP

This study

10–10

10m

HFVQNKQNKQNKQNQPPTLVP

This study

10–11

10n

HFVQNKQNQRSTLVP

This study

10–12

10o

HFVQNKQNQLPTLVP

GenBank AF182278

10–13

10p

HFVQNKQNKKNQPPTLVP

WS

10–14

10q

HFVQNKQHQPPTLVP

WS

10–15

10r

HFVQNKQNQPSTLVP

WS

10–16

10s

HFVQNKQNQWSTLVP

WS

10–17

10t

HFVQNKQNQTPTLVP

WS

10–18

10u

HFVQNKQSQPPTLVP

WS

10–19

10w

HFVQNKQNKQKQPPTLVP

(6)

10–20

10i,10v

HFVQNKQNQWLTLVP

GenBank AF162346

10–21

10x

HFVPDKKGQPPTLVP

(6)

10–22

10y

HFVQNKQNKQNQQNQPPTLVP

WS

10–23

-

HFVQNKQNQWPTLVP

WS

10–24

-

HFVKNKQNQRPTLVP

(6)

10–25

-

HFVQDKKGQP

WS


13

13

YWTTVNTGSATTTTTFVP

(16)

13–1

13a

YWTTVNTGSATTTTFVP

(3)

13–2

13b

YWTTVNTGSATTTFVP

(16)

13–3

13c

YWTTVNTGSATITTFVP

(10)

13–4

13d

YYTTVTQGSATTTTFVP

(10)

13–5

13e

YWTTVNTGSATTTTTTTTTFVP

(16)

13–6

13f

YWTTVNTGSATTTTTTTTFVP

(5)

13–7

13g

YWTTVNTGSATTTTTTFVP

(5)

13–8

13h

YWITVNTGSATTTTFVP

(16)

13–9

13i

YWTTVNTGSATTFVP

This study

13–10

13j

YWTTVNTGSVTTTTFVP

WS

13–11

13k

YWTTVNTGSAATTTTFVP

This study

13–12

-

YWTAVNAGSATTTFVP

WS


14

14

YVDEKKMVHA

(13)

14–1

14a

YVDEKKKMVHA

(8)

14–2

14b

YVDEKKKVHA

(17)

14–3

14c

YVDEKNMVHA

(17)

14–4

14d

YVDENKMVHA

(11)

14–5

14e

YVDKEQVSHA

This study

14–6

14f

YVDEKQVSHA

This study

14–7

14g

YVDETKMVHA

WS

14–8

-

YVDEKRMVHA

WS

14–9

-

YVDAKKMVHA

WS


15

15

HYTRQNNADVFVP

(1)

15–1

15a

HYTRQNNTDVFVP

(7)

15–2

15c

HYTRQNNNNTDVFVP

This study

15–3

15d

HYTRPNNTDVFVP

(11)

15–4

15e

HYNTRQNNADVFVP

WS

15–5

15f

HYTRQNSADVFVP

This study

15–6

15g

HYTRQNYADVFVP

WS

15–7

15h

HYTRQNNANVFVP

(6)

15–8

-

HYTRQNNAGVFVP

(12)

15–9

-

HYTRQNNTRQNNADVFVP

(12)

15–10

-

HYTGQNNADVFVP

(12)

15–11

15b

HYTRQNNIDVFVP

(10)

15–12

-

HYNTRQNNIDVFVP

WS

15–13

-

HYTRQNNQNNIDVFVP

WS

15–14

-

HYTNTRQNNIDVFVP

WS

15–15

-

HYTRQSNTDVFVP

WS

15–16

-

HYTRQNNADFVP

WS


16

16

YYTKDTNNNLTLVP

(1)

16–1

16w

YYTKGKNNALTLVP

WS

16–2

16b

YYTKNTNNNLTLVP

(18)

16–3

16c

YYTKDKNDNLTLVP

(5)

16–4

16d

YYTKDKNDKLTLVP

(5)

16–5

16e

YYTKDTNNNNNLTLVP

(5)

16–6

16f

YYTKHTNNNLTLVP

This study

16–7

16g

YYTKDTNTKDTNNNLTLVP

This study

16–8

16h

YYTKDKNNALTLVP

(6)

16–9

16i

YYTKDTNDLTLVP

WS

16–10

16j

YYTNNNLTLVP

This study

16–11

16k

YYTTDTNNNLTLVP

This study

16–12

16l

YYTKDTNDNLTLVP

This study

16–13

16m

YYTEDTNNNLTLVP

WS

16–14

16n

YYTKDTNTNLTLVP

WS

16–15

16p

YYNTKDTNNNLTLVP

This study

16–16

16q

YYTKDTNNNPTLVP

This study

16–17

16r

YYTKDTNNTNNNLTLVP

(6)

16–18

16s

YYTKDTNTNNNLTLVP

GenBank AF143744

16–19

16t

YYTKDTNNNLTHTKDTNNNLTLVP

(6)

16–20

16u

KDTNNNLTLVP

(6)

16–21

16v

YYTKDTKNNLTLVP

(6)

16–22

-

YYTKDTNNILTLVP

WS

16–23

-

YYTKDNKNDNLTLVP

(6)

16–24

-

YYTKVENDNLTLVP

WS

16–25

-

YYTKDTNNNLNLTLVP

WS

16–26

-

YYTNTNNNLTLVP

WS

16–27

-

YYTKDTNNNLTLVS

WS


23

23

HWNTVYNTNGTTTTFVP

(3)

23–1

23a

HWNTVYNTNGTTTTTTTFVP

(6)

23–2

-

HWNTVYNTNGTTTTTFVP

WS


Removed

24

TLANVANTNIGVP

(13)


25

25

TYTVDSSGVVTPVP

(1)

25–1

25a

TYTVDSSGVFTPVP

This study

25–2

25b

TYTEGSSGVFTPVP

WS

25–3

25c

TYTVDSSGVVTPLP

WS

25–4

25d

TYTVGSRDVVTPVP

GenBank AF162345

25–5

25e

TYTVDSSNVVTPVP

GenBank AF157834

25–6

25f

TYTVDSGVVTPVP

(6)

25–7

25g

YTVDSSGVVTPVP

WS

25–8

-

TYTVDSSGVP

WS

25–9

-

TYTVDNSSVVTPVP

WS


26

26

HFVADSQGKITRVP

(10)

26–1

26a

HFVADSQGEITRVP

GenBank AF146084

26–2

-

YFTADPNDQNKITRVP

WS


28

28

YYYTTATNSSTSTTFVP

(10)


30

30

HYTTVYNATTTTTTFVP

WS

30–1

30a

HYTTVYNATTTTTFVP

This study

30–2

30b

HYTTVYNATTTTTTTFVP

(6)

30–3

30c

HYTTVYNATTTTTTTTFVP

This study

30–4

30d

HYTTVYNATTTTTTTTTFVP

WS

30–5

30e

HYTTVYNATTTTTTTTTTFVP

WS


34

34

YVDDQGKVKGP

(6)

34–1

-

YVDDQKVKGP

WS


35

-

TFTLESNQMKPVP

WS


Appendix References

  1. Maiden MCJ, Suker J, McKenna AJ, Bygraves J, Feavers IM. Comparison of the class 1 outer membrane proteins of eight serological reference strains of Neisseria meningitidis. Mol Microbiol 1991;5:727–36.
  2. Van der Ley P, Heckels JE, Virji M, Hoogerhout P, Poolman JT. Topology of outer membrane porins in pathogenic Neisseria spp. Infect Immun 1991;59:2963–71.
  3. Suker J, Feavers IM, Achtman M, Morelli G, Wang J-F, Maiden MCJ. The porA gene in serogroup A meningococci: evolutionary stability and mechanism of genetic variation. Mol Microbiol 1994;12:253–65.
  4. Brooks JL, Fallon RJ, Heckels JE. Sequence variation in class 1 outer membrane protein in Neisseria meningitidis isolated from patients with meningococcal infection and close household contacts. FEMS Microbiol Lett 1995;128:145–50.
  5. Arhin FF, Moreau F, Coulton J, Mills EL. Sequencing of porA from clinical isolates of Neisseria meningitidis defines a subtyping scheme and its genetic regulation. Can J Microbiol 1998;44:56–63.
  6. Sacchi CT, Whitney AM, Popovic T, Beall DS, Reeves MW, Plikaytis BD, et al. Diversity and prevalence of PorA types in Neisseria meningitidis serogroup B in the United States, 1992-1998. J Infect Dis 2000;182:1169–76.
  7. McGuiness B, Barlow AK, Clarke IN, Farley JE, Anilionis A, Poolman JT, et al. Deduced amino acid sequences of class 1 protein (PorA) from three strains of Neisseria meningitidis. J Exp Med 1990;171:1871–82.
  8. Sacchi CT, Lemos APS, Brandt ME, Whitney AM, Melles CEA, Solari CA, et al. Proposed standardisation of Neisseria meningitidis PorA variable region typing nomenclature. Clin Diagn Lab Immunol 1998;5:845–55.
  9. McGuinness BT, Lambden PR, Heckels JE. Class 1 outer membrane protein of Neisseria meningitidis: epitope analysis of the antigenic diversity between strains, implications for subtype definition and molecular epidemiology. Mol Microbiol 1993;7:505–14.
  10. Feavers IM, Fox AJ, Gray S, Jones DM, Maiden MCJ. Antigenic diversity of meningococcal outer membrane protein PorA has implications for epidemiological analysis and vaccine design. Clin Diagn Lab Immunol 1996;3:444–50.
  11. Wedege E, Caugant DA, Musacchio A, Saunders NB, Zollinger WD. Redesignation of a purported P1.15 subtype-specific meningococcal monoclonal antibody as a P1.19-specific reagent. Clin Diagn Lab Immunol 1999;6:639–42.
  12. Sacchi CT, Lemos AP, Popovic T, Cassio de Morais J, Whitney AM, et al. Serosubtypes and PorA types of Neisseria meningitidis serogroup B isolated in Brazil during 1997–1998: overview and implications for vaccine development. J Clin Microbiol 2001;39:2897–903.
  13. Maiden MCJ, Bygraves JA, McCarvil J, Feavers IM. Identification of meningococcal serosubtypes by polymerase chain reaction. J Clin Microbiol 1992;30:2835–41.
  14. Bart A, Dankert J, van der Ende A. Antigenic variation of the class I outer membrane protein in hyperendemic Neisseria meningitidis strains in the Netherlands. Infect Immun 1999;67:3842–6.
  15. Suker J, Feavers IM, Maiden MCJ. Monoclonal antibody recognition of members of the meningococcal P1.10 variable region family: implications for serological typing and vaccine design. Microbiology 1996;142:63–9.
  16. Wedege E, Kolberg J, Delvig A, Hoiby EA, Holten E, Rosenqvist E, et al. Emergence of a new virulent clone within the electrophoretic type 5 complex of serogroup B meningococci in Norway. Clin Diagn Lab Immunol 1995;2:314–21.
  17. Saunders NB, Brandt BL, Warren RL, Hansen BD, Zollinger WD. Immunological and molecular characterization of three variant subtype P1.14 strains of Neisseria meningitidis. Infect Immun 1998;66:3218–22.
  18. Feavers IM, Heath AB, Bygraves JA, Maiden MCJ. Role of horizontal genetic exchange in the antigenic variation of the class 1 outer membrane protein of Neisseria meningitidis. Mol Microbiol 1992;6:489–95.
   
     
   
Comments to the Authors

Please use the form below to submit correspondence to the authors or contact them at the following address:

Janet Suker, Division of Bacteriology, National Institute for Biological Standards and Control, Blanche Lane, South Mimms Potters Bar, EN6 3QG, United Kingdom; fax: [+44]-1707-663796; email: jsuker@nibsc.ac.uk

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This page posted March 3, 2004
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