Evidence map›Paper›PMID 39531464›Full record

ArticlePloS one2024

Whole genome sequencing and antimicrobial resistance among clinical isolates of Shigella sonnei in Addis Ababa, Ethiopia.

Basha Ayele, Adane Mihret, Zeleke Mekonnen, Tesfaye Sisay Tessema, Kalkidan Melaku, Maeruf Fetu Nassir, Abaysew Ayele, Dawit Hailu Alemayehu, Getenet Beyene

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Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Draft genome sequences of 22Microbiology resource announcements · 2026
    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

9 authors.

Basha AyeleDepartment of Medical Laboratory Science, College of Health Science and Medicine, Dilla University, Dilla, Ethiopia.ORCID 0000-0003-2281-7858
Adane MihretArmauer Hansen Research Institute, Addis Ababa, Ethiopia.
Zeleke MekonnenSchool of Medical Laboratory Sciences, Institution of Health Sciences, Jimma University, Jimma, Ethiopia.
Tesfaye Sisay TessemaInstitution of Biotechnology, Addis Ababa University, Addis Ababa, Ethiopia.
Kalkidan MelakuArmauer Hansen Research Institute, Addis Ababa, Ethiopia.
Maeruf Fetu NassirArmauer Hansen Research Institute, Addis Ababa, Ethiopia.
Abaysew AyeleArmauer Hansen Research Institute, Addis Ababa, Ethiopia.
Dawit Hailu AlemayehuArmauer Hansen Research Institute, Addis Ababa, Ethiopia.
Getenet BeyeneSchool of Medical Laboratory Sciences, Institution of Health Sciences, Jimma University, Jimma, Ethiopia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundShigellosis is an acute gastroenteritis infection and one of Ethiopia's most common causes of morbidity and mortality, especially in children under five. Antimicrobial resistance (AMR) has spread quickly among Shigella species due to inappropriate antibiotic use, inadequacies of diagnostic facilities, and unhygienic conditions. This study aimed to characterize Shigella sonnei (S. sonnei) using whole genome sequence (WGS) analysis in Addis Ababa, Ethiopia.

methodsThe raw reads were quality-filtered and trimmed, and a minimum length of 50bp was retained and taxonomically classified using MiniKraken version 1. The whole genome data were aligned with Antibiotic Resistance Gene (ARG) sequences of the Comprehensive Antibiotic Resistance Database (CARD) by Resistance Gene Identifier (RGI). Plasmids were analyzed using the PlasmidFinder tool version 2.1. Additionally, AMR and virulence genes were screened at the Centre for Genomic Epidemiology (CGE) web-based server.

resultsAll isolates in our investigation contained genes encoding blaEC-8 and blaZEG-1. Here, 60.7% of the isolates were phenotypically sensitive to cefoxitin among the blaEC-8 genes detected in the genotyping analysis, whereas all isolates were completely resistant to amoxicillin and erythromycin phenotypically. The study also identified genes that conferred resistance to trimethoprim (dfrA). Plasmid Col156 and Col (BS512) types were found in all isolates, while IncFII and Col (MG828) plasmids were only identified in one isolate.

conclusionThis study found that many resistant genes were present, confirming the high variety in S. sonnei strains and hence a divergence in phylogenetic relationships. Thus, combining WGS methods for AMR prediction and strain identification into active surveillance may be beneficial for monitoring the spread of AMR in S. sonnei and detecting the potential emergence of novel variations.

Indexed as

Anti-Bacterial AgentsDysentery, BacillaryShigella sonneiWhole Genome SequencingAdultChildChild, PreschoolDrug Resistance, BacterialEthiopiaFemaleGenome, BacterialHumansInfantMaleMicrobial Sensitivity TestsPhylogenyAnti-Bacterial Agents

Identifiers

PMID39531464
PMCPMC11556702

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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.