Evidence map›Paper›PMID 31185900›Full record

ArticleBMC microbiology2019

Genomic analysis of methicillin-resistant Staphylococcus aureus strain SO-1977 from Sudan.

Mohamed S Ali, Nurulfiza M Isa, Faisal M Abedelrhman, Tahani B Alyas, Sara E Mohammed, Abdallah E Ahmed, Zainab S A Ahmed, Nyok-Sean Lau, Mohamed I Garbi, Abdullah Al-Ashraf Amirul and 3 more

Abstract read
In one paragraph

Article in BMC microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Draft genome sequence of methicillin-resistantMicrobiology resource announcements · 2023
    Article
  3. Article
  4. Article
  5. Article
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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

13 authors.

Mohamed S AliDepartment of Bioinformatics and Biostatistics, National University Research Institute- National University, Khartoum, Sudan.ORCID 0000-0001-6718-3540
Nurulfiza M IsaDepartment of Cell and Molecular Biology, Faculty of Biotechnology and Bimolecular Sciences, Universiti Putra Malaysia, Selangor, Malaysia.
Faisal M AbedelrhmanDepartment of Bioinformatics and Biostatistics, National University Research Institute- National University, Khartoum, Sudan.
Tahani B AlyasTropical Medicine Research Institute, Khartoum, Sudan.
Sara E MohammedDepartment of microbiology, faculty of medical laboratory sciences, National University, Khartoum, Sudan.
Abdallah E AhmedDepartment of Bioinformatics and Biostatistics, National University Research Institute- National University, Khartoum, Sudan.
Zainab S A AhmedDepartment of Bioinformatics and Biostatistics, National University Research Institute- National University, Khartoum, Sudan.
Nyok-Sean LauCentre for Chemical Biology, Universiti Sains Malaysia, 11900, Bayan Lepas, Penang, Malaysia.
Mohamed I GarbiDepartment of Microbiology, Faculty of Medical Laboratory Science, International University of Africa, Khartoum, Sudan.
Abdullah Al-Ashraf AmirulCentre for Chemical Biology, Universiti Sains Malaysia, 11900, Bayan Lepas, Penang, Malaysia.
Almeen O SeedDepartment of Bioinformatics and Biostatistics, National University Research Institute- National University, Khartoum, Sudan.
Rihab A OmerDepartment of Bioinformatics and Biostatistics, National University Research Institute- National University, Khartoum, Sudan.
Sofia B MohamedDepartment of Bioinformatics and Biostatistics, National University Research Institute- National University, Khartoum, Sudan. Sofiabashir2002@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMethicillin-resistant Staphylococcus aureus (MRSA) is known as a leading cause of morbidity and mortality. Investigation of the MRSA's virulence and resistance mechanisms is a continuing concern toward controlling such burdens through using high throughput whole Genome Sequencing (WGS) and molecular diagnostic assays. The objective of the present study is to perform whole-genome sequencing of MRSA isolated from Sudan using Illumina Next Generation Sequencing (NGS) platform.

resultsThe genome of MRSA strain SO-1977 consists of 2,827,644 bp with 32.8% G + C, 59 RNAs and 2629 predicted coding sequences (CDSs). The genome has 26 systems, one of which is the major class in the disease virulence and defence. A total of 83 genes were annotated to virulence disease and defence category some of these genes coding as functional proteins. Based on genome analysis, it is speculated that the SO-1977 strain has resistant genes to Teicoplanin, Fluoroquinolones, Quinolone, Cephamycins, Tetracycline, Acriflavin and Carbapenems. The results revealed that the SO-1977, strain isolated from Sudan has a wide range of antibiotic resistance compared to related strains.

conclusionThe study reports for the first time the whole genome sequence of Sudan MRSA isolates. The release of the genome sequence of the strain SO-1977 will avail MRSA in public databases for further investigations on the evolution of resistant mechanism and dissemination of the -resistant genes of MRSA.

Indexed as

Anti-Bacterial AgentsBase CompositionDrug Resistance, BacterialGenome, BacterialGenome SizeHigh-Throughput Nucleotide SequencingHumansMethicillin-Resistant Staphylococcus aureusMicrobial Sensitivity TestsMolecular Sequence AnnotationStaphylococcal InfectionsSudanVirulence FactorsWhole Genome SequencingAnti-Bacterial AgentsVirulence FactorsAntibiotic resistant genesGenome annotationMethicillin -resistance Staphylococcus aureus (MRSA)SudanWhole genome sequencing

Identifiers

PMID31185900
PMCPMC6558803

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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.