Evidence map›Paper›PMID 25853708›Full record

ArticlePloS one2015

Comparative whole-genome analysis of clinical isolates reveals characteristic architecture of Mycobacterium tuberculosis pangenome.

Vinita Periwal, Ashok Patowary, Shamsudheen Karuthedath Vellarikkal, Anju Gupta, Meghna Singh, Ashish Mittal, Shamini Jeyapaul, Rajendra Kumar Chauhan, Ajay Vir Singh, Pravin Kumar Singh and 6 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

31 citing papers in PubMed, 58 citations in OpenAlex.

  1. Article
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  4. Beyond H37Rv:Frontiers in microbiology · 2025
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  5. Diversification of gene content in theMicrobiology spectrum · 2024
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  8. Pangenome Reconstruction ofMicroorganisms · 2023
    Article
  9. Article
  10. Whole genome sequencing ofFrontiers in microbiology · 2023
    Article
  11. Article
  12. Pan-genome association study ofFrontiers in microbiology · 2022
    Article
  13. Article
  14. Microbial genomics · 2021
    Article
  15. Pan and Core Genome Analysis of 183Antibiotics (Basel, Switzerland) · 2021
    Article
  16. Article
  17. Article
  18. Article
  19. Microorganisms · 2020
    Review
  20. 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

16 authors at 2 institutions in 1 country.

Vinita PeriwalGN Ramachandran Knowledge Center for Genome Informatics, CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi-110007, India; Academy of Scientific & Innovative Research (AcSIR), 2, Rafi Marg, Anusandhan Bhawan, New Delhi 110001, India.
Ashok PatowaryGenomics and Molecular Medicine, CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi-110007, India.
Shamsudheen Karuthedath VellarikkalGenomics and Molecular Medicine, CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi-110007, India; Academy of Scientific & Innovative Research (AcSIR), 2, Rafi Marg, Anusandhan Bhawan, New Delhi 110001, India.
Anju GuptaOpen Source Drug Discovery Unit, Council of Scientific and Industrial Research (CSIR), Anusandhan Bhavan, 2 Rafi Marg, New Delhi 110001, India.
Meghna SinghGenomics and Molecular Medicine, CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi-110007, India; Academy of Scientific & Innovative Research (AcSIR), 2, Rafi Marg, Anusandhan Bhawan, New Delhi 110001, India.
Ashish MittalGenomics and Molecular Medicine, CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi-110007, India.
Shamini JeyapaulGenomics and Molecular Medicine, CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi-110007, India.
Rajendra Kumar ChauhanGenomics and Molecular Medicine, CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi-110007, India.
Ajay Vir SinghNational JALMA Institute of Leprosy and other Mycobacterial Diseases, Post Box No.101,Tajganj, Agra-282001, India.
Pravin Kumar SinghNational JALMA Institute of Leprosy and other Mycobacterial Diseases, Post Box No.101,Tajganj, Agra-282001, India.
Parul GargNational JALMA Institute of Leprosy and other Mycobacterial Diseases, Post Box No.101,Tajganj, Agra-282001, India.
Viswa Mohan KatochNational JALMA Institute of Leprosy and other Mycobacterial Diseases, Post Box No.101,Tajganj, Agra-282001, India.
Kiran KatochNational JALMA Institute of Leprosy and other Mycobacterial Diseases, Post Box No.101,Tajganj, Agra-282001, India.
Devendra Singh ChauhanNational JALMA Institute of Leprosy and other Mycobacterial Diseases, Post Box No.101,Tajganj, Agra-282001, India.
Sridhar SivasubbuGenomics and Molecular Medicine, CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi-110007, India.
Vinod ScariaGN Ramachandran Knowledge Center for Genome Informatics, CSIR Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi-110007, India.
National JALMA Institute for Leprosy & Other Mycobacterial Diseases · INOpen Source Drug Discovery · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tubercle complex consists of closely related mycobacterium species which appear to be variants of a single species. Comparative genome analysis of different strains could provide useful clues and insights into the genetic diversity of the species. We integrated genome assemblies of 96 strains from Mycobacterium tuberculosis complex (MTBC), which included 8 Indian clinical isolates sequenced and assembled in this study, to understand its pangenome architecture. We predicted genes for all the 96 strains and clustered their respective CDSs into homologous gene clusters (HGCs) to reveal a hard-core, soft-core and accessory genome component of MTBC. The hard-core (HGCs shared amongst 100% of the strains) was comprised of 2,066 gene clusters whereas the soft-core (HGCs shared amongst at least 95% of the strains) comprised of 3,374 gene clusters. The change in the core and accessory genome components when observed as a function of their size revealed that MTBC has an open pangenome. We identified 74 HGCs that were absent from reference strains H37Rv and H37Ra but were present in most of clinical isolates. We report PCR validation on 9 candidate genes depicting 7 genes completely absent from H37Rv and H37Ra whereas 2 genes shared partial homology with them accounting to probable insertion and deletion events. The pangenome approach is a promising tool for studying strain specific genetic differences occurring within species. We also suggest that since selecting appropriate target genes for typing purposes requires the expected target gene be present in all isolates being typed, therefore estimating the core-component of the species becomes a subject of prime importance.

Indexed as

Genetic VariationPhylogenyBase SequenceComparative Genomic HybridizationDNA, BacterialGenome, BacterialHumansMycobacterium tuberculosisTuberculosisDNA, Bacterial

Identifiers

PMID25853708
PMCPMC4390332
OpenAlexW1972955223

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Registered trials

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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.