Evidence map›Paper›PMID 28797043›Full record

ArticlePloS one2017

Next generation sequencing reveals the antibiotic resistant variants in the genome of Pseudomonas aeruginosa.

Babu Ramanathan, Hassan Mahmood Jindal, Cheng Foh Le, Ranganath Gudimella, Arif Anwar, Rozaimi Razali, Johan Poole-Johnson, Rishya Manikam, Shamala Devi Sekaran

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
–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

24 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  7. Comparison ofFrontiers in microbiology · 2023
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  13. Evaluation of targeted next-generation sequencing for detection of equine pathogens in clinical samples.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2021
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  14. Article
  15. The archives of bone and joint surgery · 2020
    Article
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  19. Combining structure and genomics to understand antimicrobial resistance.Computational and structural biotechnology journal · 2020
    Review
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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

9 authors.

Babu RamanathanDepartment of Biological Sciences, School of Science and Technology, Sunway University, Kuala Lumpur, Malaysia.ORCID http://orcid.org/0000-0002-8216-3916
Hassan Mahmood JindalDepartment of Medical Microbiology, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.
Cheng Foh LeSchool of Pharmacy, Faculty of Science, University of Nottingham Malaysia Campus, Jalan Broga, Selangor, Malaysia.
Ranganath GudimellaSengenics, High Impact Research (HIR), University of Malaya, Kuala Lumpur, Malaysia.
Arif AnwarSengenics, High Impact Research (HIR), University of Malaya, Kuala Lumpur, Malaysia.
Rozaimi RazaliSengenics, High Impact Research (HIR), University of Malaya, Kuala Lumpur, Malaysia.
Johan Poole-JohnsonSengenics, High Impact Research (HIR), University of Malaya, Kuala Lumpur, Malaysia.
Rishya ManikamDepartment of Trauma and Emergency, University Malaya Medical Centre, Kuala Lumpur, Malaysia.
Shamala Devi SekaranDepartment of Medical Microbiology, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid progress in next generation sequencing and allied computational tools have aided in identification of single nucleotide variants in genomes of several organisms. In the present study, we have investigated single nucleotide polymorphism (SNP) in ten multi-antibiotic resistant Pseudomonas aeruginosa clinical isolates. All the draft genomes were submitted to Rapid Annotations using Subsystems Technology (RAST) web server and the predicted protein sequences were used for comparison. Non-synonymous single nucleotide polymorphism (nsSNP) found in the clinical isolates compared to the reference genome (PAO1), and the comparison of nsSNPs between antibiotic resistant and susceptible clinical isolates revealed insights into the genome variation. These nsSNPs identified in the multi-drug resistant clinical isolates were found to be altering a single amino acid in several antibiotic resistant genes. We found mutations in genes encoding efflux pump systems, cell wall, DNA replication and genes involved in repair mechanism. In addition, nucleotide deletions in the genome and mutations leading to generation of stop codons were also observed in the antibiotic resistant clinical isolates. Next generation sequencing is a powerful tool to compare the whole genomes and analyse the single base pair variations found within the antibiotic resistant genes. We identified specific mutations within antibiotic resistant genes compared to the susceptible strain of the same bacterial species and these findings may provide insights to understand the role of single nucleotide variants in antibiotic resistance.

Indexed as

Anti-Bacterial AgentsDisk Diffusion Antimicrobial TestsDrug Resistance, BacterialGenome, BacterialHigh-Throughput Nucleotide SequencingHumansPolymorphism, Single NucleotidePseudomonas aeruginosaPseudomonas InfectionsSequence Analysis, DNAAnti-Bacterial Agents

Identifiers

PMID28797043
PMCPMC5557631

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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.