Evidence map›Paper›PMID 28692415›Full record

ArticleOmics : a journal of integrative biology2017

Whole Genome Sequencing of Mycobacterium tuberculosis Isolates From Extrapulmonary Sites.

Kusum Sharma, Renu Verma, Jayshree Advani, Oishi Chatterjee, Hitendra S Solanki, Aman Sharma, Subhash Varma, Manish Modi, Pallab Ray, Kanchan K Mukherjee and 7 more

Open access · greenAbstract read
In one paragraph

Article in Omics : a journal of integrative biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 24% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Whole genome sequencing of drug resistanceLife science alliance · 2023
    Article
  3. Pangenome Reconstruction ofMicroorganisms · 2023
    Article
  4. Article
  5. Article
  6. Article
  7. Effect of mixed strain infections on clinical and epidemiological features of tuberculosis in Florida.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2021
    Article
  8. Article
  9. Integrated Multi-Omic Analysis ofFrontiers in microbiology · 2018
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 5 institutions in 2 countries.

Kusum Sharma1 Department of Medical Microbiology, PGIMER , Chandigarh, India .
Renu Verma2 Institute of Bioinformatics , International Technology Park, Bangalore, India .
Jayshree Advani2 Institute of Bioinformatics , International Technology Park, Bangalore, India .
Oishi Chatterjee2 Institute of Bioinformatics , International Technology Park, Bangalore, India .
Hitendra S Solanki2 Institute of Bioinformatics , International Technology Park, Bangalore, India .
Aman Sharma6 Department of Internal Medicine, PGIMER, Chandigarh, India .
Subhash Varma6 Department of Internal Medicine, PGIMER, Chandigarh, India .
Manish Modi7 Department of Neurology, PGIMER, Chandigarh, India .
Pallab Ray1 Department of Medical Microbiology, PGIMER , Chandigarh, India .
Kanchan K Mukherjee8 Department of Neurosurgery, PGIMER, Chandigarh, India .
Megha Sharma1 Department of Medical Microbiology, PGIMER , Chandigarh, India .
Mandeed Singh Dhillion9 Department of Orthopedics, PGIMER, Chandigarh, India .
Mrutyunjay Suar3 School of Biotechnology, KIIT University , Bhubaneswar, India .
Aditi Chatterjee2 Institute of Bioinformatics , International Technology Park, Bangalore, India .
Akhilesh Pandey2 Institute of Bioinformatics , International Technology Park, Bangalore, India .
Thottethodi Subrahmanya Keshava Prasad2 Institute of Bioinformatics , International Technology Park, Bangalore, India .
Harsha Gowda2 Institute of Bioinformatics , International Technology Park, Bangalore, India .
Post Graduate Institute of Medical Education and Research · INInstitute of Bioinformatics · INCenter for Systems Biology · USKIIT University · INJohns Hopkins University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Clustered Regularly Interspaced Short Palindromic RepeatsGenome, BacterialHigh-Throughput Nucleotide SequencingMycobacterium tuberculosisSequence Analysis, DNATuberculosisWhole Genome Sequencingcoding DNA sequencelineagelymphadenitisnonsynonymousoctal code

Identifiers

PMID28692415
PMCPMC6436032
OpenAlexW2735153854

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.