Abstract

The assignation of lineages in Mycobacterium tuberculosis (MTB) provides valuable information for evolutionary and phylogeographic studies and makes for more accurate knowledge of the distribution of this pathogen worldwide. Differences in virulence have also been found for certain lineages. MTB isolates were initially assigned to lineages based on data obtained from genotyping techniques, such as spoligotyping or MIRU-VNTR analysis, some of which are more suitable for molecular epidemiology studies. However, since these methods are subject to a certain degree of homoplasy, other criteria have been chosen to assign lineages. These are based on targeting robust and specific SNPs for each lineage. Here, we propose two newly designed multiplex targeting methods—both of which are single-tube tests—to optimize the assignation of the six main lineages in MTB. The first method is based on ASO-PCR and offers an inexpensive and easy-to-implement assay for laboratories with limited resources. The other, which is based on SNaPshot, enables more refined standardized assignation of lineages for laboratories with better resources. Both methods performed well when assigning lineages from cultured isolates from a control panel, a test panel, and a problem panel from an unrelated population, Mexico, which included isolates in which standard genotyping was not able to classify lineages. Both tests were also able to assign lineages from stored isolates, without the need for subculture or purification of DNA, and even directly from clinical specimens with a medium-high bacilli burden. Our assays could broaden the contexts where information on lineages can be acquired, thus enabling us to quickly update data from retrospective collections and to merge data with those obtained at the time of diagnosis of a new TB case.

Highlights

  • Genotyping and genomic analysis have enabled us to differentiate between Mycobacterium tuberculosis (MTB) strains with varying degrees of discrimination.The magnitude of discrimination differs according to the objective of the analysis and should be greater when attempting to accurately define recent transmission clusters

  • The recent expansion of whole genome sequencing (WGS) means that recent transmission clusters are being defined using genomic epidemiology, which is based on the quantification of the number of differential single-nucleotide polymorphisms (SNPs) between circulating strains [3]

  • The selective performance of the test was optimal: whenever the corresponding lineage-marker SNP interfered with a single PCR (30 ends of the selective primers were designed to coincide with the coordinate where the SNP mapped), the corresponding amplification was completely impaired, leading to five amplicon patterns, with a single amplicon missing from each of the lineages in the test panel (Fig 1)

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Summary

Introduction

Genotyping and genomic analysis have enabled us to differentiate between Mycobacterium tuberculosis (MTB) strains with varying degrees of discrimination.The magnitude of discrimination differs according to the objective of the analysis and should be greater when attempting to accurately define recent transmission clusters. The recent expansion of whole genome sequencing (WGS) means that recent transmission clusters are being defined using genomic epidemiology, which is based on the quantification of the number of differential single-nucleotide polymorphisms (SNPs) between circulating strains [3]. This shift from population-based epidemiology to global epidemiology or phylogeographic analysis requires discriminatory power to be lower, since the objective of the approach is to identify major lineages families instead of clones/strains. Other less discriminatory genotyping strategies, such as spoligotyping, have been extensively used [4] and various platforms and global databases compile extensive collections of isolates with the associated lineage or enable automatic assignation of lineages based on spoligotype or VNTR patterns [5,6,7,8]

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