Literature DB >> 24578269

Functional Analysis Using Whole-Genome Sequencing of a Drug-Sensitive Mycobacterium tuberculosis Strain from Peru.

D Tarazona1, V Borda, M Galarza, J C Agapito, H Guio.   

Abstract

We report the whole-genome sequence of a Latin American-Mediterranean (LAM) lineage drug-sensitive Mycobacterium tuberculosis strain from Peru, INS-SEN. The functional analysis revealed more mutations in secondary metabolite biosynthesis, transport, and catabolism (clusters of orthologous groups [COG] category Q) than for other LAM-sensitive strains. This study contributes to the understanding of the genomic diversity of drug-sensitive M. tuberculosis.

Entities:  

Year:  2014        PMID: 24578269      PMCID: PMC3937605          DOI: 10.1128/genomeA.00087-14

Source DB:  PubMed          Journal:  Genome Announc


GENOME ANNOUNCEMENT

In 2012, there were an estimated 8.6 million new cases of tuberculosis (TB) worldwide. In Peru, the incidence rate for TB was 95 cases/100,000 people, of which 96% of cases were drug-sensitive TB (1). It has been reported that in Peru there is a high diversity of Mycobacterium tuberculosis lineages, including Latin American-Mediterranean (LAM) (23.8%), Haarlem (23.8%), T (22.3%), and Beijing (9.3%) (3). We performed whole-genome sequencing and analysis to investigate the genetic diversity and phylogeny relationships of a drug-sensitive strain of M. tuberculosis, INS-SEN. INS-SEN was isolated from Lima, Peru. The establishment of this strain’s lineage was based on 24 mycobacterial interspersed repetitive unit-variable number of tandem repeat (MIRU-VNTR) loci (4) and by single-nucleotide polymorphisms (SNPs) based on phylogeny (5). The genomic DNA of INS-SEN was sequenced to 1,406× coverage, which consisted of 61,422,158 paired-end reads, using the Illumina HiSeq 2000 sequencer machine. Then, the genomic sequence was assembled with BWA v 0.5.9-r16 (6), using the H37Rv genome (AL123456.3) as a reference, producing 18 contigs. The genomic sequence was annotated with the Rapid Annotations using Subsystem Technology (RAST) server (7) and Prokaryotic Genome Annotation Pipeline (PGAAP). A polymorphism study of the INS-SEN genome was carried out by comparative analysis against the genome of the drug-sensitive strain KZN 4207 (LAM lineage) (8) using SNPsFinder (9) to identify the differences between intergenic and coding regions, and then clusters of orthologous groups (COG) (10). The 24 loci for MIRU-VNTR and SNPs based on phylogeny determined that INS-SEN belongs to the LAM lineage. The genome sequence is about 99.98% completed compared to the H37Rv reference genome, which has a genome size of 4.42 Mb. The INS-SEN strain has a total of 4,383,671 bp, with an average GC content of 65.6%. It contains 4,389 predicted coding sequences (CDSs). A total of 499 polymorphisms were observed in our comparative study, with 440 of these located in the coding regions of the genome that were classified in the following COG categories: secondary metabolite biosynthesis, transport, and catabolism (Q) (n = 38); lipid transport and metabolism (I) (n = 35); replication, recombination, and repair (L) (n = 34); energy production and conversion (C) (n = 32); amino acid transport and metabolism (E) (n = 31); carbohydrate transport and metabolism (G) (n = 27); cell motility (N) (n = 26); cell wall/membrane/envelope biogenesis (M) (n = 24); coenzyme transport and metabolism (H) (n = 23); signal transduction mechanisms (T) (n = 21); inorganic ion transport and metabolism (P) (n = 21); transcription (K) (n = 17); translation, ribosomal structure, and biogenesis (n = 14); posttranslational modification, protein turnover, and chaperones (n = 13); nucleotide transport and metabolism (n = 12); defense mechanisms (n = 7); cell cycle control, cell division, and chromosome partitioning (n = 7); RNA processing and modification (n = 2); and intracellular trafficking, secretion, and vesicular transport (n = 2). INS-SEN had more SNPs in PPE associated with antigenic variation (11) in category N and in PE-PGRS associated with antigenic variation and immune evasion (12) in category M than the strains KZN 4207 and H37Rv. Additionally, INS-SEN showed more mutations in category Q than the strain KZN 4207. It is possible that the organization of SNPs in INS-SEN may have a role in adaptation to its environment.

Nucleotide sequence accession numbers.

This whole-genome shotgun project has been deposited at DDBJ/EMBL/GenBank under the accession number JAQH00000000. The version described in this paper is JAQH01000000.
  10 in total

1.  SNPsFinder--a web-based application for genome-wide discovery of single nucleotide polymorphisms in microbial genomes.

Authors:  Jian Song; Yan Xu; Scott White; Kevin W P Miller; Murray Wolinsky
Journal:  Bioinformatics       Date:  2005-02-03       Impact factor: 6.937

2.  Genetic diversity, population structure and drug resistance of Mycobacterium tuberculosis in Peru.

Authors:  C A Taype; J C Agapito; R A Accinelli; J R Espinoza; S Godreuil; S J Goodman; A L Bañuls; M A Shaw
Journal:  Infect Genet Evol       Date:  2012-02-14       Impact factor: 3.342

3.  Global phylogeny of Mycobacterium tuberculosis based on single nucleotide polymorphism (SNP) analysis: insights into tuberculosis evolution, phylogenetic accuracy of other DNA fingerprinting systems, and recommendations for a minimal standard SNP set.

Authors:  Ingrid Filliol; Alifiya S Motiwala; Magali Cavatore; Weihong Qi; Manzour Hernando Hazbón; Miriam Bobadilla del Valle; Janet Fyfe; Lourdes García-García; Nalin Rastogi; Christophe Sola; Thierry Zozio; Marta Inírida Guerrero; Clara Inés León; Jonathan Crabtree; Sam Angiuoli; Kathleen D Eisenach; Riza Durmaz; Moses L Joloba; Adrian Rendón; José Sifuentes-Osornio; Alfredo Ponce de León; M Donald Cave; Robert Fleischmann; Thomas S Whittam; David Alland
Journal:  J Bacteriol       Date:  2006-01       Impact factor: 3.490

4.  Proposal for standardization of optimized mycobacterial interspersed repetitive unit-variable-number tandem repeat typing of Mycobacterium tuberculosis.

Authors:  Philip Supply; Caroline Allix; Sarah Lesjean; Mara Cardoso-Oelemann; Sabine Rüsch-Gerdes; Eve Willery; Evgueni Savine; Petra de Haas; Henk van Deutekom; Solvig Roring; Pablo Bifani; Natalia Kurepina; Barry Kreiswirth; Christophe Sola; Nalin Rastogi; Vincent Vatin; Maria Cristina Gutierrez; Maryse Fauville; Stefan Niemann; Robin Skuce; Kristin Kremer; Camille Locht; Dick van Soolingen
Journal:  J Clin Microbiol       Date:  2006-09-27       Impact factor: 5.948

5.  Strong antibody responses to Mycobacterium tuberculosis PE-PGRS62 protein are associated with latent and active tuberculosis.

Authors:  Kah Wee Koh; Shu E Soh; Geok Teng Seah
Journal:  Infect Immun       Date:  2009-06-01       Impact factor: 3.441

6.  Genome analysis of multi- and extensively-drug-resistant tuberculosis from KwaZulu-Natal, South Africa.

Authors:  Thomas R Ioerger; Sunwoo Koo; Eun-Gyu No; Xiaohua Chen; Michelle H Larsen; William R Jacobs; Manormoney Pillay; A Willem Sturm; James C Sacchettini
Journal:  PLoS One       Date:  2009-11-05       Impact factor: 3.240

7.  Fast and accurate short read alignment with Burrows-Wheeler transform.

Authors:  Heng Li; Richard Durbin
Journal:  Bioinformatics       Date:  2009-05-18       Impact factor: 6.937

8.  The COG database: an updated version includes eukaryotes.

Authors:  Roman L Tatusov; Natalie D Fedorova; John D Jackson; Aviva R Jacobs; Boris Kiryutin; Eugene V Koonin; Dmitri M Krylov; Raja Mazumder; Sergei L Mekhedov; Anastasia N Nikolskaya; B Sridhar Rao; Sergei Smirnov; Alexander V Sverdlov; Sona Vasudevan; Yuri I Wolf; Jodie J Yin; Darren A Natale
Journal:  BMC Bioinformatics       Date:  2003-09-11       Impact factor: 3.169

9.  Genetic basis of virulence attenuation revealed by comparative genomic analysis of Mycobacterium tuberculosis strain H37Ra versus H37Rv.

Authors:  Huajun Zheng; Liangdong Lu; Bofei Wang; Shiying Pu; Xianglin Zhang; Genfeng Zhu; Wanliang Shi; Lu Zhang; Honghai Wang; Shengyue Wang; Guoping Zhao; Ying Zhang
Journal:  PLoS One       Date:  2008-06-11       Impact factor: 3.240

10.  The SEED and the Rapid Annotation of microbial genomes using Subsystems Technology (RAST).

Authors:  Ross Overbeek; Robert Olson; Gordon D Pusch; Gary J Olsen; James J Davis; Terry Disz; Robert A Edwards; Svetlana Gerdes; Bruce Parrello; Maulik Shukla; Veronika Vonstein; Alice R Wattam; Fangfang Xia; Rick Stevens
Journal:  Nucleic Acids Res       Date:  2013-11-29       Impact factor: 16.971

  10 in total

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