Literature DB >> 31558630

Sequencing and Analysis of Three Mycobacterium tuberculosis Genomes of the B0/N-90 Sublineage.

Natalia V Zakharevich1, Marina V Zaychikova2, Kirill V Shur2, Olga B Bekker2, Dmitry A Maslov2, Valery N Danilenko2.   

Abstract

We report the draft genome sequences of three Mycobacterium tuberculosis isolates belonging to the B0/N-90 sublineage, EKB34, EKB53, and EKB79. The B0/N-90 sublineage belongs to the prevalent (in Russia) and highly virulent Beijing-B0/W148 sublineage. Isolates EKB34 and EKB79 were obtained from people with immune deficiency.
Copyright © 2019 Zakharevich et al.

Entities:  

Year:  2019        PMID: 31558630      PMCID: PMC6763645          DOI: 10.1128/MRA.00796-19

Source DB:  PubMed          Journal:  Microbiol Resour Announc        ISSN: 2576-098X


ANNOUNCEMENT

Recently, tuberculosis has become more common. The probability of disease manifestation depends on several factors, chief among which are the host immune status and virulence of the pathogen, which are different in different lines (1, 2). Currently, there is a suggestion that the B0/N-90 sublineage (a group belonging to the prevalent [in Russia] and highly virulent Beijing-B0/W148 sublineage of the Beijing family) mainly affects immunocompromised people (3, 4). In this article, we describe the following isolates from people living in Russia: M. tuberculosis EKB34, isolated from a 49-year-old male, and M. tuberculosis EKB53 and EKB79, isolated from 16- and 27-year-old immunodeficient males, respectively. All isolates are part of the collection described in reference 4 and were genotyped as belonging to the B0/N-90 sublineage by nonsynonymous single-nucleotide polymorphism (SNP) analysis described in reference 3. M. tuberculosis was cultured in Middlebrook 7H9 medium with the addition of oleic acid-albumin-dextrose-catalase (OADC; HiMedia, India) at 37°C for 4 weeks. Genomic DNA was isolated and purified by phenol-chloroform-isoamyl alcohol extraction after enzymatic cell lysis, as described by Belisle et al. (5). The quality of DNA was checked using gel electrophoresis and a Bioanalyzer 2100 system. Genomic DNA libraries were prepared using the NEBNext Ultra II DNA library prep kit for Illumina (New England BioLabs, USA). The raw sequencing data were obtained using a HiSeq 2500 platform (Illumina, USA) in rapid run mode with the HiSeq Rapid SBS kit v2 2 × 100 bp (Illumina). A total of 17,966,286 pairs of reads with an average read length of 111 bases were obtained. Quality check of the reads was done using FastQC v0.11.7 (6). De novo genome assembly was performed using SPAdes v3.11 (7), while assembly metrics were calculated with QUAST v5.0.2 (both programs were used with default parameters) (8). The automatic functional annotation results were obtained using the NCBI Prokaryotic Genome Annotation Pipeline. The characteristics of the three sequenced genomes are listed in Table 1.
TABLE 1

Characteristics of three M. tuberculosis isolates belonging to the B0/N-90 sublineage

IsolateWGS (GenBank) accession no.SRA accession no.Genome size (bp)GC content (%)Coverage (×)No. of contigsN50 value (bp)No. of contigs >500 bpTotal no. of CDSsa
EKB34SRLI00000000SRR84392374,356,65965.24616092,4981304,269
EKB53SRLJ00000000SRR83633344,358,80864.416918073,2461494,268
EKB79SRLK00000000SRR83742774,357,38864.622317772,8901494,270

CDSs, coding sequences.

Characteristics of three M. tuberculosis isolates belonging to the B0/N-90 sublineage CDSs, coding sequences. To identify meaningful differences between isolates of the B0/N-90 sublineage and Beijing-B0/W148 sublineage, the unassembled reads were aligned to the reference genome of M. tuberculosis W-148 (GenBank accession number CP012090) using BWA-MEM, with default settings (9). The pileup was generated by mpileup (-B -f) in SAMtools (10). We used the mpileup2snp (–min-avg-qual 30 –min-var-freq 0.80 –p-value 0.01 –output-vcf 1) command in VarScan 2.3.9 (11) for calling single-nucleotide variants. We found 37 SNPs common to all the B0/N-90 strains and absent in the reference genome, 7 SNPs present in 2 out of 3 strains, as well as a number of unique SNPs present only in one strain (6 for EKB34, 8 for EKB53, and 11 for EKB79). A comparative analysis of virulence-associated genes from the previously developed catalogue (3, 12, 13) showed that besides the previously known lineage-specific mutations (genes mce3F [rv1971], A1229С [Asp→Ala]; vapC46 [rv3384c], C113G [Ala→Gly]; and irtB [rv1349], G523A [Ala→Thr]) (3), all three isolates also had a mutation in the Rv3132c gene. This gene is part of the dosRS two-component system involved in response to stress conditions; in particular, it regulates the expression of the hspX gene, which encodes a protein that plays an important role in regulating the growth of M. tuberculosis under hypoxic conditions (14). However, this mutation is a synonymous one and does not result in an amino acid change. On the contrary, SNPs in the three genes described above may lead to changes in the properties of the encoded proteins, resulting in changes to virulence levels (15, 16).

Data availability.

The whole-genome shotgun (WGS) assemblies have been deposited in NCBI GenBank. The versions described in this paper are the first versions. The read archives have been deposited in the NCBI SRA. The WGS (GenBank) and SRA accession numbers are listed in Table 1. All of the data are part of BioProject number PRJNA509547.
  12 in total

1.  SPAdes: a new genome assembly algorithm and its applications to single-cell sequencing.

Authors:  Anton Bankevich; Sergey Nurk; Dmitry Antipov; Alexey A Gurevich; Mikhail Dvorkin; Alexander S Kulikov; Valery M Lesin; Sergey I Nikolenko; Son Pham; Andrey D Prjibelski; Alexey V Pyshkin; Alexander V Sirotkin; Nikolay Vyahhi; Glenn Tesler; Max A Alekseyev; Pavel A Pevzner
Journal:  J Comput Biol       Date:  2012-04-16       Impact factor: 1.479

2.  A statistical framework for SNP calling, mutation discovery, association mapping and population genetical parameter estimation from sequencing data.

Authors:  Heng Li
Journal:  Bioinformatics       Date:  2011-09-08       Impact factor: 6.937

3.  Single nucleotide polymorphisms of Beijing lineage Mycobacterium tuberculosis toxin-antitoxin system genes: Their role in the changes of protein activity and evolution.

Authors:  M V Zaychikova; N E Mikheecheva; Y O Belay; M G Alekseeva; A V Melerzanov; V N Danilenko
Journal:  Tuberculosis (Edinb)       Date:  2018-06-12       Impact factor: 3.131

Review 4.  Virulence factors of the Mycobacterium tuberculosis complex.

Authors:  Marina A Forrellad; Laura I Klepp; Andrea Gioffré; Julia Sabio y García; Hector R Morbidoni; María de la Paz Santangelo; Angel A Cataldi; Fabiana Bigi
Journal:  Virulence       Date:  2012-10-17       Impact factor: 5.882

5.  QUAST: quality assessment tool for genome assemblies.

Authors:  Alexey Gurevich; Vladislav Saveliev; Nikolay Vyahhi; Glenn Tesler
Journal:  Bioinformatics       Date:  2013-02-19       Impact factor: 6.937

Review 6.  [The virulence factors of Mycobacterium tuberculosis: genetic control, new conceptions].

Authors:  A A Prozorov; I A Fedorova; O B Bekker; V N Danilenko
Journal:  Genetika       Date:  2014-08

7.  The Mycobacterium tuberculosis dosRS two-component system is induced by multiple stresses.

Authors:  S L Kendall; F Movahedzadeh; S C G Rison; L Wernisch; T Parish; K Duncan; J C Betts; N G Stoker
Journal:  Tuberculosis (Edinb)       Date:  2004       Impact factor: 3.131

Review 8.  Consequences of genomic diversity in Mycobacterium tuberculosis.

Authors:  Mireia Coscolla; Sebastien Gagneux
Journal:  Semin Immunol       Date:  2014-10-22       Impact factor: 11.130

9.  A Nonsynonymous SNP Catalog of Mycobacterium tuberculosis Virulence Genes and Its Use for Detecting New Potentially Virulent Sublineages.

Authors:  Natalya E Mikheecheva; Marina V Zaychikova; Alexander V Melerzanov; Valery N Danilenko
Journal:  Genome Biol Evol       Date:  2017-04-01       Impact factor: 3.416

10.  Fast and accurate long-read alignment with Burrows-Wheeler transform.

Authors:  Heng Li; Richard Durbin
Journal:  Bioinformatics       Date:  2010-01-15       Impact factor: 6.937

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.