Unveiling the Multilocus Sequence Typing (MLST) Schemes and Core Genome Phylogenies for Genotyping Chlamydia trachomatis

Multilocus sequence typing (MLST) has become a useful tool for studying the genetic diversity of important public health pathogens, such as ( ). Four MLST schemes have been proposed for (data available from Chlamydiales MLST databases). However, the lack of a sole standardized scheme represents the...

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Bibliographic Details
Published in:Frontiers in microbiology 2018-08, Vol.9, p.1854-1854
Main Authors: Patiño, Luz H, Camargo, Milena, Muñoz, Marina, Ríos-Chaparro, Dora I, Patarroyo, Manuel A, Ramírez, Juan D
Format: Article
Language:English
Subjects:
chlamydia
Microbiology
MLST
MLST-genotyping
schemes
sequence type (ST)
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Summary:Multilocus sequence typing (MLST) has become a useful tool for studying the genetic diversity of important public health pathogens, such as ( ). Four MLST schemes have been proposed for (data available from Chlamydiales MLST databases). However, the lack of a sole standardized scheme represents the greatest limitation regarding typing this species. This study was thus aimed at evaluating the usefulness of the four MLST schemes available for , describing each molecular marker's pattern and its contribution toward a description of intra-specific genetic diversity and population structure. The markers for each scheme, showed a variable power of dicrimination, exhibiting in some cases over estimation in the determination of Sequence Types (STs). However, individual analysis of each locus's typing efficiency and discrimination power led to identifying 8 markers as having a suitable pattern for intra-specific typing. analyzing the 8 candidate markers gave a combination of 3 of these loci as an optimal scheme for identifying a large amount of STs, maximizing discrimination power whilst maintaining suitable typing efficiency. One scheme was compared against core genome phylogenies, finding a higher typing resolution through the last approach. These results confirm once again that although complete genome data, in particular from core genome MLST (cgMLST) allow a high resolution clustering for isolates. There are combinations of molecular markers that could generate equivalent results, with the advantage of representing an easy implementation strategy and lower costs leading to contribute to the monitoring and molecular epidemiology of .
ISSN:1664-302X
1664-302X
DOI:10.3389/fmicb.2018.01854