1887

Abstract

The central clade of the genus , also called the core group, comprises six species that are tightly related (DNA–DNA reassociation values are very close to 70 % for most species pairs). Identification of novel strains to the species level within this group is troublesome and results are quite often dependent on the methodology employed. Therefore, this group represents an excellent framework to test the robustness of multilocus sequence analysis (MLSA) not only for inferring phylogeny but also as an identification tool without the need for DNA–DNA hybridization assays. The genes selected, 16S rRNA, , , , , and , were amplified by direct PCR from 44 core-group strains. Subsequent analysis allowed us to recognize and as the most resolving individual genes and showed that concatenated sequences of , and were more useful than concatenated sequences of all seven genes. To validate our conclusions, MLSA similarities have been correlated with DNA–DNA relatedness values obtained in this study and values taken from the literature. Although the seven concatenated genes gave the best correlation, the concatenated sequences of , and have the practical advantage of showing a considerable gap between the maximal interspecies similarity and the minimal intraspecies similarity recorded, meaning that they can be used quite conveniently for species identification of vibrios.

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2010-01-01
2019-10-20
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vol. , part 1, pp. 154 - 165

Sequence information.

DNA–DNA hybridization data (%) taken from the literature and used together with values obtained in this study (Table 2) to correlate DNA–DNA reassociation and MLSA similarity (three and seven concatenated genes).

Recombination events detected in the protein-encoding genes sequenced in this study

Phylogenetic reconstructions based on individual analysis of the 16S rRNA, , , , , and genes using the maximum-parsimony (S1) and maximum-likelihood (S2) method

Phylogenetic reconstructions based on concatenated 16S rRNA, , , , , and gene sequences.

Phylogenetic reconstructions based on concatenated , and gene sequences.

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