Evidence map›Paper›PMID 24923884›Full record

ArticleBMC genomics2014

Comparative genomic analysis of Mycobacterium tuberculosis clinical isolates.

Fei Liu, Yongfei Hu, Qi Wang, Hong Min Li, George F Gao, Cui Hua Liu, Baoli Zhu

Abstract readComparative Study
In one paragraph

Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
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

19 citing papers in PubMed.

  1. Diversification of gene content in theMicrobiology spectrum · 2024
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  2. The rate and role of pseudogenes of theMicrobial genomics · 2022
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  4. Genetic assessment of the internal transcribed spacer region (ITS1.2) inPhysiology and molecular biology of plants : an international journal of functional plant biology · 2020
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  8. Article
  9. Comparative genomic analysis of multidrug-resistantInfection and drug resistance · 2018
    Article
  10. Article
  11. Article
  12. Article
  13. Complete Genome Sequencing ofFrontiers in microbiology · 2017
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Evaluation of resistance acquisition during tuberculosis treatment using whole genome sequencing.The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases
    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

7 authors.

Fei Liu
Yongfei Hu
Qi Wang
Hong Min Li
George F Gao
Cui Hua LiuCAS key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China. liucuihua@im.ac.cn.
Baoli Zhu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDue to excessive antibiotic use, drug-resistant Mycobacterium tuberculosis has become a serious public health threat and a major obstacle to disease control in many countries. To better understand the evolution of drug-resistant M. tuberculosis strains, we performed whole genome sequencing for 7 M. tuberculosis clinical isolates with different antibiotic resistance profiles and conducted comparative genomic analysis of gene variations among them.

resultsWe observed that all 7 M. tuberculosis clinical isolates with different levels of drug resistance harbored similar numbers of SNPs, ranging from 1409-1464. The numbers of insertion/deletions (Indels) identified in the 7 isolates were also similar, ranging from 56 to 101. A total of 39 types of mutations were identified in drug resistance-associated loci, including 14 previously reported ones and 25 newly identified ones. Sixteen of the identified large Indels spanned PE-PPE-PGRS genes, which represents a major source of antigenic variability. Aside from SNPs and Indels, a CRISPR locus with varied spacers was observed in all 7 clinical isolates, suggesting that they might play an important role in plasticity of the M. tuberculosis genome. The nucleotide diversity (Л value) and selection intensity (dN/dS value) of the whole genome sequences of the 7 isolates were similar. The dN/dS values were less than 1 for all 7 isolates (range from 0.608885 to 0.637365), supporting the notion that M. tuberculosis genomes undergo purifying selection. The Л values and dN/dS values were comparable between drug-susceptible and drug-resistant strains.

conclusionsIn this study, we show that clinical M. tuberculosis isolates exhibit distinct variations in terms of the distribution of SNP, Indels, CRISPR-cas locus, as well as the nucleotide diversity and selection intensity, but there are no generalizable differences between drug-susceptible and drug-resistant isolates on the genomic scale. Our study provides evidence strengthening the notion that the evolution of drug resistance among clinical M. tuberculosis isolates is clearly a complex and diversified process.

Indexed as

AdultAgedAntitubercular AgentsClustered Regularly Interspaced Short Palindromic RepeatsFemaleGene Expression Regulation, BacterialGenetic VariationGenome, BacterialHigh-Throughput Nucleotide SequencingHumansINDEL MutationMaleMiddle AgedMycobacterium tuberculosisPhylogenyPolymorphism, Single NucleotideAntitubercular Agents

Identifiers

PMID24923884
PMCPMC4070564

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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.