Evidence map›Paper›PMID 31060558›Full record

ArticleAnnals of clinical microbiology and antimicrobials2019

Whole-genome sequencing and characterization of an antibiotic resistant Neisseria meningitidis B isolate from a military unit in Vietnam.

Thach Xuan Tran, Trang Thu Le, Long Phi Trieu, Christopher M Austin, Dong Van Quyen, Huong Minh Nguyen

Open access · goldAbstract readCase Reports
In one paragraph

Article in Annals of clinical microbiology and antimicrobials, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. CharacterizingIJID regions · 2024
    Article
  2. Review
  3. The spread of chloramphenicol-resistant Neisseria meningitidis in Southeast Asia.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2020
    Article
  4. 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

6 authors at 4 institutions in 2 countries.

Thach Xuan TranLaboratory of Molecular Microbiology, Institute of Biotechnology, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet Street, Cau Giay District, Hanoi, Vietnam.
Trang Thu LeLaboratory of Molecular Microbiology, Institute of Biotechnology, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet Street, Cau Giay District, Hanoi, Vietnam.
Long Phi TrieuLaboratory of Microbiology, Military Institute of Preventive Medicine, 21 Trung Liet Street, Dong Da District, Hanoi, Vietnam.
Christopher M AustinCentre for Integrative Ecology, School of Life and Environmental Sciences, Deakin University, 75 Pigdons Rd, Waurn Ponds, Geelong, VIC, 3216, Australia.
Dong Van QuyenLaboratory of Molecular Microbiology, Institute of Biotechnology, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet Street, Cau Giay District, Hanoi, Vietnam. dvquyen@ibt.ac.vn.
Huong Minh NguyenLaboratory of Molecular Microbiology, Institute of Biotechnology, Vietnam Academy of Science and Technology, 18 Hoang Quoc Viet Street, Cau Giay District, Hanoi, Vietnam. huongminh.nguyen@ibt.ac.vn.ORCID http://orcid.org/0000-0001-5302-2973
Vietnam Academy of Science and Technology · VNDeakin University · AUHanoi Medical University · VNVietnam Military Medical University · VN

Funding

National Foundation for Science and Technology Development 106-NN.02-2015.66
6 · The paper itself

Abstract

backgroundInvasive meningococcal disease (IMD) persists in military units in Vietnam despite the availability of antibiotics and vaccines. A hindrance to reducing the incidence of IMD in Vietnam is a lack of molecular data from isolates of the causative agent, Neisseria meningitidis from this country. Here, we characterized key genetic and epidemiological features of an invasive N. meningitidis isolate from a military unit in Vietnam using whole-genome sequencing.

methodsNeisseria meningitidis was isolated from a conscript admitted for meningitis and tested against seven antibiotics. DNA from the isolate was extracted and sequenced using the Illumina HiSeq platform. Denovo assembly and scaffolding were performed to construct a draft genome assembly, from which genes were predicted and functionally annotated. Genome analysis included epidemiological characterization, genomic composition and identification of antibiotic resistance genes.

resultsSusceptibility testing of the isolate showed high levels of resistance to chloramphenicol and diminished susceptibility to ampicillin and rifampicin. A draft genome of ~ 2.1 Mb was assembled, containing 2451 protein coding sequences, 49 tRNAs and 3 rRNAs. Fifteen coding sequences sharing ≥ 84% identity with known antibiotic resistance genes were identified. Genome analysis revealed abundant repetitive DNAs and two prophages. Epidemiological typing revealed newly described sequence type, antigenic finetype and Bexsero

conclusionsOur results present the first genome assembly of an invasive N. meningitidis isolate from a military unit in Vietnam. This study illustrates the usefulness of whole genome sequencing (WGS) analysis for epidemiological and antibiotic resistance studies and surveillance of IMD in Vietnam.

Indexed as

Genome, BacterialAmpicillinAnti-Bacterial AgentsBacterial ProteinsDrug Resistance, BacterialHumansMaleMeningococcal InfectionsMilitary PersonnelNeisseria meningitidisRifampinVietnamWhole Genome SequencingYoung AdultAmpicillinAnti-Bacterial AgentsBacterial ProteinsRifampinAntibiotic resistanceAntigen sequence typingEpidemiological characterizationNeisseria meningitidisNext generation sequencingVietnam

Identifiers

PMID31060558
PMCPMC6501280
OpenAlexW2947510376

What OpenQuestion holds

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LicenceCC BY
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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.