JCM Accepts, published online ahead of print on 18 September 2013 J. Clin. Microbiol. doi:10.1128/jcm.01761-13 Copyright 2013, American Society for Microbiology. All Rights Reserved. 1 Detection of heteroresistant Mycobacterium tuberculosis by pyrosequencing 2 3 4 Anna Engström 1,2,*, Sven Hoffner 1,2, Pontus Juréen 1,2 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 1 Department of Microbiology, Tumor and Cell Biology, Karolinska Institutet, Stockholm, Sweden 2 Department of Preparedness, Swedish Institute for Communicable Disease Control, Solna, Sweden *Corresponding author: annaengstrom1@hotmail.com Keywords: limit of detection, sequencing, titration, heteroresistance, genotypic, TB Running title: Detection of heteroresistant M. tuberculosis ABSTRACT The ability of pyrosequencing to detect a resistant minority population of a heteroresistant Mycobacterium tuberculosis strain was investigated by performing a titration study. A mutant signal was noted only at 35 to 50% mutant DNA target, which is significantly higher than phenotypic drug susceptibility test methods.
26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 The increasing prevalence of drug-resistant strains of Mycobacterium tuberculosis, the causative agent of tuberculosis (TB), demands new measures to expand TB infection control. Rapid and accurate diagnosis of the pathogen, and its drug susceptibility pattern, is essential for timely initiation of effective therapy, and ultimately, control of the disease (1). Various molecular-based methods to detect drug-resistant M. tuberculosis have been developed in order to circumvent lengthy phenotypic drug susceptibility testing (DST) (2-6). DNA sequencing is a robust method to analyze sequence variants and is often considered the gold standard for detection of resistance-associated mutations in M. tuberculosis (7). A limitation with sequencing methods, which may not be evident, is the difference in ability to detect a minority population of a heteroresistant strain compared to phenotypic DST methods. A heteroresistant strain refers to a mix of both susceptible and resistant organisms in a bacterial population (8). This can be attained during suboptimal drug treatment (acquired resistance) or due to mixed infection of strains with different susceptibility, e. g. superinfection with a resistant strain in a patient with drug-susceptible TB (9). Chakravorty and colleagues reported that an rpob Sanger sequencing assay required at least 50% mutant DNA target to be detected (10). Phenotypic DST methods commonly define a bacterial population as resistant if 1% or more of the organisms are resistant (11). Different sensitivities for phenotypic and genotypic methods may have implications for the interpretation of the results. Discordant results may not always be due to mutations being present in an unknown or not investigated region of the genome, but may in fact be present in the targeted region. However, due to a low fraction of bacteria harboring a mutation, it may not be able to detect the genotype despite having a resistant phenotype. The ability of pyrosequencing to detect a minority population of a heteroresistant M. tuberculosis strain has not been reported. Therefore, the aim of the study
51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 was to investigate the sensitivity of an rpob pyrosequencing assay to detect heteroresistant M. tuberculosis by performing a titration study of a wild type and a mutant DNA sample. DNA was isolated as previously described (12). Wild type DNA was extracted from the reference strain M. tuberculosis H37Rv ATCC 25618, which was cultured on drugfree Löwenstein-Jensen (LJ) medium prior to DNA extraction. Mutant DNA was extracted from a phenotypically (LJ proportion method (13)) rifampin (RIF) resistant M. tuberculosis clinical isolate harboring an rpob S531L substitution (TCG/TTG) after culturing on LJmedium containing 40 mg/l RIF to eliminate any wild type organisms. In the titration study, the wild type and mutant DNA were mixed in 5 and 10% increments, ranging from 0 100% of respective target. PCR was performed for each target mix and all PCR reactions were subsequently subjected to an rpob pyrosequencing assay as previously described (5). Pyrograms and sequences were obtained from PyroMark Q96 ID Software 2.5 (Qiagen, Germantown, MD, USA). The software automatically converted pyrogram peaks to a nucleotide sequence. Figure 1 shows sections, surrounding the S531L mutation, of the pyrosequencing pyrograms for different target mixes. Full pyrograms for all target mixes are available in Figure S1 in the supplementary material. When the pyrograms were investigated by the naked eye, a mutant signal could be noted at presence of 35% mutant DNA target and became more apparent at 40% mutant DNA (Figure 1). Automatic interpretation by the pyrosequencing software required 70% of mutant DNA for detection (Table 1). Presence of 50-65% mutant DNA yielded an inadequate peak level at the mutant nucleotide position leading to a missing nucleotide at the mutated position. In summary, the assay required at least 50% of mutant DNA for automatized detection. Molecular-based methods offer a great chance to improve detection of drugresistant M. tuberculosis; however, their results should be interpreted in the light of their
76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 performance characteristics demonstrated by the laboratory. The ability of different methods to detect a resistant (mutant) minority population in a heteroresistant sample varies, especially between phenotypic and molecular-based methods. The pyrosequencing assay investigated in this study required between 35 and 50% of mutant DNA for detection. A previous study reported a detection limit of 15% for pyrosequencing and 30% for Sanger sequencing for detection of Lamivudine-resistant hepatitis B virus (14). Low sensitivity does not only encompass sequencing but also other molecular-based methods, involving both the GenoType MTBDRplus and GeneXpert MTB/RIF tests (15, 16). This exemplifies the notion that sensitivities varies between different assays and methods. The sensitivity assumingly depends on a number of factors, including the specific methodology itself, the extent of assay optimization, and the presence of different resistance related mutations (15). It is likely that most molecular methods have a limit of detection (LOD) for a minority population that is greater and not equal to the defined LOD of phenotypic methods. Next-generation sequencing (NGS) is currently still quite expensive but could possibly offer a better sensitivity compared to other molecular-based methods due to greater target coverage (17). Thus, NGS could potentially offer a better understanding of the population structure in clinical samples. Digital PCR may be another alternative to detect heteroresistance more precisely (18). Despite technical limitations, molecular methods designed to detect drugresistant M. tuberculosis offer a much more rapid detection of drug-resistant TB cases than phenotypic DST, and will most likely play an increasing role in TB control programs. The need of molecular diagnostic methods for rapid identification of drug resistance in M. tuberculosis is obvious in the light of emerging severely drug-resistant strains. A thorough understanding of the several methodological parameters, including procedural limitations, is critical for proper interpretation of results. Any molecular-based method should be fully validated in terms of both its analytical and its clinical sensitivity and specificity prior to
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Table 1. Pyrogram a to sequence conversion by PyroMark Q96 ID Software 2.5 Wild type / mutant ratio Sequence 100/0 GGGTTGACCC ACAAGCGCCG ACTGTCGGCG 55/45 GGGTTGACCC ACAAGCGCCG ACTGTCGGCG 50/50 GGGTTGACCC ACAAGCGCCG ACTGT-GGCG 45/55 GGGTTGACCC ACAAGCGCCG ACTGT-GGCG 40/60 GGGTTGACCC ACAAGCGCCG ACTGT-GGCG 35/65 GGGTTGACCC ACAAGCGCCG ACTGT-GGCG 30/70 GGGTTGACCC ACAAGCGCCG ACTGTTGGCG 0/100 GGGTTGACCC ACAAGCGCCG ACTGTTGGCG a Pyrograms presented in Supplementary Figure S1. Downloaded from http://jcm.asm.org/ on November 5, 2017 by guest