Optimized multilocus sequence analysis for laboratory identification of pathogens of ixodid tick-borne borreliosis

Abstract

Introduction. The most common etiological agents of ixodid tick-borne borreliosis (ITBB) in Russia are Borrelia garinii, B. afzelii, B. bavariensis. Multilocus sequence typing and multilocus sequence analysis (MLSA) have been used in recent studies for Borrelia species identification. The results of using the MLSA scheme for identification of pathogens causing erythemic forms of ITBB have been presented earlier.
 The purpose of the study was to explore the possibility of MLSA optimization for laboratory identification of ITBB pathogens. Objectives: comparative analysis of nucleotide sequences of 6 conserved genes (rrs, hbb, fla, groEL, recA, ospA) and the rrfA-rrlB intergenic spacer, which are recommended by the MLSA protocol; identification of the minimum set of genes, the concatenated sequences of which are essential for species identification of Borrelia isolates.
 Materials and methods. The sequences of the above loci of 23 reference isolates collected from patients with ITBB and assigned, using MLSA, to B. bavariensis were compared with the sequences of similar genes of other Borrelia species available in international databases. The UPGMA method was used to build and analyze dendrograms based on the obtained data.
 Results. The sequences of ospA gene loci of reference species demonstrated the greatest difference (not less than 8.5%) from the sequences of the above gene in other analyzed species of Borrelia; approximately similar species-related differences (not less than 6.7%) were demonstrated by the comparison of recA gene sequences. The sequences of the identified variants of these two genes in B. bavariensis differed from the sequences of the similar genes in the most closely related species B. garinii. The dendrogram of the concatenated nucleotide sequences of recA and ospA genes demonstrated that it was totally consistent with the results of identification of the isolates based on the MLSA protocol.
 Conclusion. The optimized approach to MLSA of the B. burgdorferi sensu lato group suggests that species identification should be based on the concatenated analysis of loci of only two genes (recA and ospA) out of 7 loci recommended by the MLSA protocol.