Literature DB >> 29460750

Whole-Genome Analysis of Mycobacterium tuberculosis from Patients with Tuberculous Spondylitis, Russia.

Ekaterina Chernyaeva, Mikhail Rotkevich, Ksenia Krasheninnikova, Andrey Yurchenko, Anna Vyazovaya, Igor Mokrousov, Natalia Solovieva, Viacheslav Zhuravlev, Piotr Yablonsky, Stephen J O'Brien.   

Abstract

Whole-genome analysis of Mycobacterium tuberculosis isolates collected in Russia (N = 71) from patients with tuberculous spondylitis supports a detailed characterization of pathogen strain distributions and drug resistance phenotype, plus distinguished occurrence and association of known resistance mutations. We identify known and novel genome determinants related to bacterial virulence, pathogenicity, and drug resistance.

Entities:  

Keywords:  Mycobacterium tuberculosis; Russia; WGS; antimicrobial resistance; bacteria; bacterial virulence; drug resistance; genetic markers; genome determinants; pathogenicity; phylogeny; tuberculosis and other mycobacteria; tuberculous spondylitis; whole-genome sequencing

Mesh:

Substances:

Year:  2018        PMID: 29460750      PMCID: PMC5823328          DOI: 10.3201/eid2403.170151

Source DB:  PubMed          Journal:  Emerg Infect Dis        ISSN: 1080-6040            Impact factor:   6.883


Tuberculosis (TB) is an infectious disease caused by Mycobacterium tuberculosis, which typically affects the lungs but can affect other sites. In 2016, an estimated 10.4 million new TB cases and 1.6 million TB-related deaths were documented worldwide (). The Russian Federation reported >120,000 TB cases and ≈13,700 TB deaths in 2016 (). TB strains with multidrug resistance (MDR TB), characterized by resistance to isoniazid or rifampin, are common in the Russian Federation. The estimated rate of MDR TB was 27% among TB case-patients newly diagnosed in 2016 and 65% among previously treated case-patients in 2016 (). Most TB cases are associated with pulmonary localization of the disease; however, in some cases, extrapulmonary TB develops. In Russia, the rate of extrapulmonary TB cases among new TB cases was 3.3% in 2014; most extrapulmonary TB cases are osteoarticular and genitourinary (). Approximately 70% of osteoarticular TB cases are tuberculous spondylitis (TBS), which cause severe specific lesions of >1 components of the spine (). We report whole-genome sequencing (WGS) and variant analyses of M. tuberculosis isolates from patients treated in Russia for TBS during 2007–2014.

The Study

The isolates were randomly collected from 71 TBS patients who received treatment at clinics of the Research Institute of Phthisiopulmonology in 32 regions of the Russian Federation (Figure 1). In these cases, M. tuberculosis isolates were cultured from extrapulmonary clinical material and stored. We assessed the susceptibility of these stored isolates to streptomycin, isoniazid, rifampin, ethambutol, pyrazinamide, ethionamide, ofloxacin, kanamycin, amikacin, cycloserine, capreomycin, and paraaminosalicylic acid according to World Health Organization recommendations (). We isolated genomic DNA from cultured bacteria by using phenol/chloroform extraction and subjected bacterial DNA to WGS by using the MiSeq platform (Illumina, San Diego, CA, USA) to a mean coverage of 47× (range 18×–170×), covering ≥99% of the M. tuberculosis H37Rv reference genome (GenBank accession no. NC_000962.3). We deposited WGS reads in the NCBI Sequence Read Archive (accession no. PRJNA352769).
Figure 1

Distribution of Mycobacterium tuberculosis isolates randomly collected from 71 patients with tuberculous spondylitis who received treatment at clinics of Research Institute of Phthisiopulmonology in 32 regions of the the Russian Federation, 2007–2014

Distribution of Mycobacterium tuberculosis isolates randomly collected from 71 patients with tuberculous spondylitis who received treatment at clinics of Research Institute of Phthisiopulmonology in 32 regions of the the Russian Federation, 2007–2014 We aligned sequenced reads to the reference genome and called variants (single-nucleotide polymorphisms [SNPs] and short insertions/deletions) by using bioinformatics software: bowtie2 (http://bowtie-bio.sourceforge.net/bowtie2/index.shtml); SAMtools (http://samtools.sourceforge.net); VCFtools (http://vcftools.sourceforge.net); and FreeBayes (https://github.com/ekg/freebayes). We used mutations that had q-scores ≥20 for comprehensive analysis. We used concatenated SNPs for phylogenetic analysis by using the GTRCAT (general time-reversible model with rate heterogeneity accommodated by using discrete rate categories) maximum-likelihood algorithm from the RAxML software package () to calculate an approximation model and 100 bootstrap replications. To avoid misalignments, we annotated SNPs in repetitive genome regions and in genes encoding proteins that contain proline-glutamate or proline-proline-glutamate motifs and filtered them from analysis. We used PhyTB () and SpoTyping tools () for phylogenetic classification of M. tuberculosis genomes and verified SpoTyping output by using previously conducted conventional spoligotyping analysis for 20 isolates that were previously described (). We identified 2 principal phylogenetic lineages among M. tuberculosis isolates, lineage 2 and lineage 4; further, we detected evolutionary ancient and modern sublineages within major lineage 2 (Beijing; Figure 2) according to previously described classifications (). The largest subgroup within the Beijing clade belonged to the B0/W148 clonal cluster (Figure 2) (). Lineage 4 was represented by 4 genetic families: Ural, 4.2; Latin-American/Mediterranean (LAM),(4.3); and T, 4.1 and 4.8. The 58 Beijing genotype isolates contained 38 MDR (65.5%) 5 extensively drug-resistant (XDR; resistant to isoniazid and rifampin plus any fluoroquinolone and >1 of 3 injectable second-line drugs) (8.6%), 7 polyresistant but not MDR (12%), 1 monoresistant (1.9%), and 7 susceptible (12%) TB isolates. The MDR TB frequency in the Beijing group (65.5%), was higher than that for other genetic groups pooled (p<0.0096 by Fisher exact test). The M. tuberculosis Beijing B0/W148 cluster was represented by 1 susceptible (4.8%), 2 polyresistant (9.5%), 3 XDR (14.3%), and 15 MDR (71.4%) TB isolates. The B0/W148 genetic group demonstrates an association with MDR TB (p = 0.03), shown previously (,). The other genetic groups (T, LAM, and Ural) included too few isolates to test for association with MDR TB.
Figure 2

Phylogenetic analysis of Mycobacterium tuberculosis isolates obtained from patients with tuberculous spondylitis, Russian Federation, 2007–2014. Symbols indicate drug resistance: susceptible to all tested drugs; monoresistant to 1 drug; polyresistant, resistant to multiple drugs other than isoniazid or rifampin; MDR, resistant to isoniazid or rifampin; XDR, resistant to isoniazid or rifampin plus any fluoroquinolone and >1 of 3 injectable second-line drugs. Number of isolates and parsimony informative sites by genetic group: All groups, 71/2,656; Beijing, 58/919; Beijing B0/W148, 21/213; Beijing non-B0/W148, 37/722; T (4.8), 4/38; Ural, 4/204. The truncated root branch connects the studied M. tuberculosis lineages with an outgroup represented by M. cannetii. Scale bar indicates nucleotide substitutions per site.

Phylogenetic analysis of Mycobacterium tuberculosis isolates obtained from patients with tuberculous spondylitis, Russian Federation, 2007–2014. Symbols indicate drug resistance: susceptible to all tested drugs; monoresistant to 1 drug; polyresistant, resistant to multiple drugs other than isoniazid or rifampin; MDR, resistant to isoniazid or rifampin; XDR, resistant to isoniazid or rifampin plus any fluoroquinolone and >1 of 3 injectable second-line drugs. Number of isolates and parsimony informative sites by genetic group: All groups, 71/2,656; Beijing, 58/919; Beijing B0/W148, 21/213; Beijing non-B0/W148, 37/722; T (4.8), 4/38; Ural, 4/204. The truncated root branch connects the studied M. tuberculosis lineages with an outgroup represented by M. cannetii. Scale bar indicates nucleotide substitutions per site. Specimens of 50 TBS patients were HIV negative; 21 were HIV positive. Although we found no significant association of M. tuberculosis genetic groups to HIV infection, 42% of patients infected by B0/W148 strains were HIV positive whereas among patients infected by non-B0/W148 Beijing strains, only 22% were HIV positive. Further, only 14% patients infected with non-Beijing M. tuberculosis strains were HIV positive (Technical Appendix Table 1). We examined M. tuberculosis isolates for the presence of published variants associated with resistance to TB drugs (Table). We found a high level of concordance of phenotypic and genetic data for reported isoniazid- and rifampin-resistant isolates. We detected mutations in rpsL, gid, and rrs genes in 96.4% of streptomycin-resistant isolates; 81.8% of ofloxacin-resistant isolates had mutations in gyrA gene (there were no mutations in gyrB gene). Most ethambutol-resistant isolates (72.7%) showed mutations in the embA promoter region or embB region between codons 296 and 497. However, 3 ethambutol-susceptible isolates had mutations M306I (n = 1) and G406A (n = 2) in the embB gene. We detected mutations in genes pncA () and rpsA, associated with pyrazinamide resistance in 55.6% of pyrazinamide-resistant isolates, and 55% of kanamycin-resistant strains had mutations in the eis promoter. We detected no mutations in alr and ddl genes among cycloserine-resistant isolates, nor in thyA gene among paraaminosalicylic acid–resistant isolates.
Table

Mutations associated with drug resistance detected in Mycobacterium tuberculosis genomes

Tuberculosis drug
Gene variant
No. strains with confirmed drug resistance
Drug-resistant strains, %
Isoniazid
katG S315T52100
fabG-inhA-151
katG S315T2
fabG-inhA-15
2
Rifampin
rpoB S450L40100
rpoB D435V2
rpoB H445D1
rpoB H445R1
rpoB D574E
1
Streptomycin
rpsL K43R3396.4
rpsL K88R5
gid G48G1
gid G34G1
rrs516
12
Ofloxacin
gyrA D94N181.8
gyrA D94Y1
gyrA D94G5
gyrA D94A
2
Ethambutol
embA-16472.7
embA-81
embB M30612
embB S34711
embB N399T1
embB G406D2
embB G406A2
embB A453A1
embB Q497R
2
Pyrazinamide
rpsA D123A155.6
rpsA A412V1
pncA L159R1
pncA C138R1
pncA T135P1
pncA V130E1
pncA Q122Stop1
pncA Y103Stop2
pncA G97S
1
Kanamycineis-37455.0
eis-143
eis-104
Our analysis for small insertions and deletions detected 15 and 9, respectively, among the Beijing group (Technical Appendix Table 2). A deletion in kdpD and an insertion in Rv1258c were previously described (,). The other 22 mutations are novel: 18 were specific to the Beijing group; 2 to the modern Beijing group; 1 to the ancient Beijing group; and 3 to the B0/W148 group. We identified most mutations in genes encoding membrane-associated proteins, although several mutations were in regulatory genes, genes involved in cell metabolism, probable transposase genes, and genes with unknown function. One insertion and 2 deletions were significantly associated with B0/W148 genetic group in kdpD, mmr and Rv1995 (p = 2.5 × 10−17) genes. Merker et al. (), who proposed a pathogenic influence for B0/W148 strains, described a frameshift deletion in kdpD among Beijing B0/W148 strains. Deletion in the kdpD gene can lead to the formation of nonfunctional proteins KdpD and KdpE. Parish et al. showed that M. tuberculosis lacking KdpD and KdpE function express increased virulence in a mouse model of infection (), which supports that the kdpD deletion detected in our study may influence Beijing B0/W148 strain’s rapid expansion and virulence. A mutation in the promoter region of the mmr gene (Rv3065), encoding multidrug-transport integral membrane protein, might contribute to drug resistance in Beijing B0/W148 strains. Sriraman et al. recently showed that mmr is upregulated in rifampin-resistant and MDR TB strains, even in the presence of target gene mutations (). Insertion in Rv1258c is common to all Beijing strains except ancient TB0010. In their study, Villellas et al. found the cytosine nucleotide insertion between positions 580 and 581 in the Rv1258c gene in all Beijing isolates among streptomycin-resistant M. tuberculosis strains (). In conclusion, we examined the phylogenetic and drug-resistance properties of M. tuberculosis isolates collected from 71 TBS patients in 32 locales across Russia. Our analyses confirmed the phylogenetic separation of pathogenic M. tuberculosis strains and support the prevalence of Beijing strains showing high levels of multidrug resistance among TBS isolates. Further, we found known SNP variants that had high concordance with suggested drug resistance. Finally, novel insertions/deletions were apparent, which we suggest are candidates for conferring drug resistance pending independent replication studies. Our analysis of WGS data identified known and novel genetic determinants that could or do influence bacterial virulence, pathogenicity, and drug resistance.

Technical Appendix

Mycobacterium tuberculosis isolate data; insertions and deletions associated with M. tuberculosis genetic clades.
  12 in total

1.  RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models.

Authors:  Alexandros Stamatakis
Journal:  Bioinformatics       Date:  2006-08-23       Impact factor: 6.937

2.  Tuberculous spondylitis in Russia and prominent role of multidrug-resistant clone Mycobacterium tuberculosis Beijing B0/W148.

Authors:  Anna Vyazovaya; Igor Mokrousov; Natalia Solovieva; Alexander Mushkin; Olga Manicheva; Boris Vishnevsky; Viacheslav Zhuravlev; Olga Narvskaya
Journal:  Antimicrob Agents Chemother       Date:  2015-02-02       Impact factor: 5.191

3.  Emerging multidrug resistant Mycobacterium tuberculosis strains of the Beijing genotype circulating in Russia express a pattern of biological properties associated with enhanced virulence.

Authors:  Elena Lasunskaia; Simone C M Ribeiro; Olga Manicheva; Lia Lima Gomes; Philip N Suffys; Igor Mokrousov; Lucilaine Ferrazoli; Marcelle R M Andrade; Afranio Kritski; Tatiana Otten; Thereza L Kipnis; Wilmar D da Silva; Boris Vishnevsky; Martha M Oliveira; Harrison M Gomes; Ida F Baptista; Olga Narvskaya
Journal:  Microbes Infect       Date:  2010-03-07       Impact factor: 2.700

4.  Deregulation of Genes Associated with Alternate Drug Resistance Mechanisms in Mycobacterium tuberculosis.

Authors:  Kalpana Sriraman; Kayzad Nilgiriwala; Dhananjaya Saranath; Anirvan Chatterjee; Nerges Mistry
Journal:  Curr Microbiol       Date:  2017-11-16       Impact factor: 2.188

5.  Simultaneous detection and strain differentiation of Mycobacterium tuberculosis for diagnosis and epidemiology.

Authors:  J Kamerbeek; L Schouls; A Kolk; M van Agterveld; D van Soolingen; S Kuijper; A Bunschoten; H Molhuizen; R Shaw; M Goyal; J van Embden
Journal:  J Clin Microbiol       Date:  1997-04       Impact factor: 5.948

6.  Analysis of mutations in streptomycin-resistant strains reveals a simple and reliable genetic marker for identification of the Mycobacterium tuberculosis Beijing genotype.

Authors:  Cristina Villellas; Liselotte Aristimuño; María-Asunción Vitoria; Cristina Prat; Silvia Blanco; Darío García de Viedma; José Domínguez; Sofía Samper; José A Aínsa
Journal:  J Clin Microbiol       Date:  2013-04-24       Impact factor: 5.948

Review 7.  Insights into the origin, emergence, and current spread of a successful Russian clone of Mycobacterium tuberculosis.

Authors:  Igor Mokrousov
Journal:  Clin Microbiol Rev       Date:  2013-04       Impact factor: 26.132

8.  Evolutionary history and global spread of the Mycobacterium tuberculosis Beijing lineage.

Authors:  Matthias Merker; Camille Blin; Stefano Mona; Nicolas Duforet-Frebourg; Sophie Lecher; Eve Willery; Michael G B Blum; Sabine Rüsch-Gerdes; Igor Mokrousov; Eman Aleksic; Caroline Allix-Béguec; Annick Antierens; Ewa Augustynowicz-Kopeć; Marie Ballif; Francesca Barletta; Hans Peter Beck; Clifton E Barry; Maryline Bonnet; Emanuele Borroni; Isolina Campos-Herrero; Daniela Cirillo; Helen Cox; Suzanne Crowe; Valeriu Crudu; Roland Diel; Francis Drobniewski; Maryse Fauville-Dufaux; Sébastien Gagneux; Solomon Ghebremichael; Madeleine Hanekom; Sven Hoffner; Wei-wei Jiao; Stobdan Kalon; Thomas A Kohl; Irina Kontsevaya; Troels Lillebæk; Shinji Maeda; Vladyslav Nikolayevskyy; Michael Rasmussen; Nalin Rastogi; Sofia Samper; Elisabeth Sanchez-Padilla; Branislava Savic; Isdore Chola Shamputa; Adong Shen; Li-Hwei Sng; Petras Stakenas; Kadri Toit; Francis Varaine; Dragana Vukovic; Céline Wahl; Robin Warren; Philip Supply; Stefan Niemann; Thierry Wirth
Journal:  Nat Genet       Date:  2015-01-19       Impact factor: 38.330

9.  A comprehensive characterization of PncA polymorphisms that confer resistance to pyrazinamide.

Authors:  Adam N Yadon; Kashmeel Maharaj; John H Adamson; Yi-Pin Lai; James C Sacchettini; Thomas R Ioerger; Eric J Rubin; Alexander S Pym
Journal:  Nat Commun       Date:  2017-09-19       Impact factor: 14.919

10.  SpoTyping: fast and accurate in silico Mycobacterium spoligotyping from sequence reads.

Authors:  Eryu Xia; Yik-Ying Teo; Rick Twee-Hee Ong
Journal:  Genome Med       Date:  2016-02-17       Impact factor: 11.117

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  2 in total

1.  Genomic Variations in Drug Resistant Mycobacterium tuberculosis Strains Collected from Patients with Different Localization of Infection.

Authors:  Ekaterina Chernyaeva; Mikhail Rotkevich; Ksenia Krasheninnikova; Alla Lapidus; Dmitrii E Polev; Natalia Solovieva; Viacheslav Zhuravlev; Piotr Yablonsky; Stephen J O'Brien
Journal:  Antibiotics (Basel)       Date:  2020-12-31

2.  Population structure of Mycobacterium tuberculosis from referral clinics in Western Siberia, Russia: Before and during the Covid-19 pandemic.

Authors:  Anna Vyazovaya; Irina Felker; Yakov Schwartz; Igor Mokrousov
Journal:  Infect Genet Evol       Date:  2022-07-24       Impact factor: 4.393

  2 in total

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