Literature DB >> 28692415

Whole Genome Sequencing of Mycobacterium tuberculosis Isolates From Extrapulmonary Sites.

Kusum Sharma1, Renu Verma2,3, Jayshree Advani2,4, Oishi Chatterjee2,5, Hitendra S Solanki2,3, Aman Sharma6, Subhash Varma6, Manish Modi7, Pallab Ray1, Kanchan K Mukherjee8, Megha Sharma1, Mandeed Singh Dhillion9, Mrutyunjay Suar3, Aditi Chatterjee2,10, Akhilesh Pandey2,11,12,13,14, Thottethodi Subrahmanya Keshava Prasad2,10,15, Harsha Gowda2,10.   

Abstract

Tuberculosis (TB) remains one of the leading causes of morbidity and mortality worldwide. Extrapulmonary tuberculosis (EPTB) constitutes around 15-20% of TB cases in immunocompetent individuals. Extrapulmonary sites that are affected by TB include bones, lymph nodes, meningitis, pleura, and genitourinary tract. Whole genome sequencing has emerged as a powerful tool to map genetic diversity among Mycobacterium tuberculosis (MTB) isolates and identify the genomic signatures associated with drug resistance, pathogenesis, and disease transmission. Several pulmonary isolates of MTB have been sequenced over the years. However, availability of whole genome sequences of MTB isolates from extrapulmonary sites is limited. Some studies suggest that genetic variations in MTB might contribute to disease presentation in extrapulmonary sites. This can be addressed if whole genome sequence data from large number of extrapulmonary isolates becomes available. In this study, we have performed whole genome sequencing of five MTB clinical isolates derived from EPTB sites using next-generation sequencing platform. We identified 1434 nonsynonymous single nucleotide variations (SNVs), 143 insertions and 105 deletions. This includes 279 SNVs that were not reported before in publicly available datasets. We found several mutations that are known to confer resistance to drugs. All the five isolates belonged to East-African-Indian lineage (lineage 3). We identified 9 putative prophage DNA integrations and 14 predicted clustered regularly interspaced short palindromic repeats (CRISPR) in MTB genome. Our analysis indicates that more work is needed to map the genetic diversity of MTB. Whole genome sequencing in conjunction with comprehensive drug susceptibility testing can reveal clinically relevant mutations associated with drug resistance.

Entities:  

Keywords:  coding DNA sequence; lineage; lymphadenitis; nonsynonymous; octal code

Mesh:

Year:  2017        PMID: 28692415      PMCID: PMC6436032          DOI: 10.1089/omi.2017.0070

Source DB:  PubMed          Journal:  OMICS        ISSN: 1536-2310


  66 in total

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8.  MmpL8 is required for sulfolipid-1 biosynthesis and Mycobacterium tuberculosis virulence.

Authors:  Scott E Converse; Joseph D Mougous; Michael D Leavell; Julie A Leary; Carolyn R Bertozzi; Jeffery S Cox
Journal:  Proc Natl Acad Sci U S A       Date:  2003-04-30       Impact factor: 11.205

9.  Impact of drug resistance on fitness of Mycobacterium tuberculosis strains of the W-Beijing genotype.

Authors:  Olga S Toungoussova; Dominique A Caugant; Per Sandven; Andrey O Mariandyshev; Gunnar Bjune
Journal:  FEMS Immunol Med Microbiol       Date:  2004-11-01

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Authors:  Sheng Gu; Jin Chen; Karen M Dobos; E Morton Bradbury; John T Belisle; Xian Chen
Journal:  Mol Cell Proteomics       Date:  2003-10-06       Impact factor: 5.911

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  4 in total

1.  Effect of mixed strain infections on clinical and epidemiological features of tuberculosis in Florida.

Authors:  Michael Asare-Baah; Marie Nancy Séraphin; LaTweika A T Salmon; Michael Lauzardo
Journal:  Infect Genet Evol       Date:  2020-12-01       Impact factor: 3.342

2.  Integrated Multi-Omic Analysis of Mycobacterium tuberculosis H37Ra Redefines Virulence Attributes.

Authors:  Sneha M Pinto; Renu Verma; Jayshree Advani; Oishi Chatterjee; Arun H Patil; Saketh Kapoor; Yashwanth Subbannayya; Remya Raja; Sheetal Gandotra; T S Keshava Prasad
Journal:  Front Microbiol       Date:  2018-06-19       Impact factor: 5.640

3.  Data on whole genome sequencing of extrapulmonary tuberculosis clinical isolates from India.

Authors:  Jayshree Advani; Kusum Sharma; Renu Verma; Oishi Chatterjee; Hitendra S Solanki; Aman Sharma; Subhash Varma; Manish Modi; Pallab Ray; Megha Sharma; M S Dhillion; Akhilesh Pandey; Harsha Gowda; T S Keshava Prasad
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4.  Assessing a transmission network of Mycobacterium tuberculosis in an African city using single nucleotide polymorphism threshold analysis.

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Journal:  Microbiologyopen       Date:  2021-06       Impact factor: 3.139

  4 in total

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