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Comparative Study
. 2001 Nov;50(11):991-995.
doi: 10.1099/0022-1317-50-11-991.

A comparison of multilocus sequence typing and fluorescent fragment-length polymorphism analysis genotyping of clone complex and other strains of Neisseria meningitidis

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Comparative Study

A comparison of multilocus sequence typing and fluorescent fragment-length polymorphism analysis genotyping of clone complex and other strains of Neisseria meningitidis

J V Hookey et al. J Med Microbiol. 2001 Nov.

Abstract

Five National Collection of Type Culture (NCTC) strains and 14 isolates of Neisseria meningitidis, representing 13 outbreak isolates from within the UK, were examined by multilocus sequence typing (MLST) for seven house-keeping genes. The results were compared with those of fluorescent amplified fragment-length polymorphism (FAFLP) analysis. Phylogenetic inferences were made from 3284-nucleotide lengths of sequence for the 19 isolates, by distance and parsimony methods. Two clusters of isolates were delineated. The larger, comprising eight isolates--S1, S3, Ironville, P9, ET-37 (M99-241951), P7, P10 and P60--shared 100-99.2% similarity and varied in only 40 nucleotides (approximately 1.22% variation) from the consensus sequence alignment. This cluster could be equated to the ET-37 complex because it had allelic signatures identical to MLST sequence types 11 and 50. These eight isolates were also assigned to one group by FAFLP. The reference ET-5 complex isolate 'ET-5 (NG144/82)' and an isolate (X9) from an outbreak in the north of England were also grouped together by MLST. They shared 99.2% similarity and differed within the aroE and fumC genes by 4 and 17 nucleotides, respectively. Their MLST sequence types were 32 and 661 and, therefore, these two isolates could be equated to the ET-5 complex. They also grouped together by FAFLP. A comparison of the resources required to apply MLST to the 19 isolates examined with those needed to characterise them by FAFLP indicated that FAFLP (a fragment-based genotyping method) is more cost-effective than the partial sequencing approach, MLST.

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