Evidence map›Paper›PMID 39487414›Full record

ArticleBMC genomics2024

First report and genomic characterization of Escherichia coli O111:H12 serotype from raw mussels in Türkiye.

Artun Yibar, Nihed Ajmi, Muhammed Duman

Abstract read
In one paragraph

Article in BMC genomics, 2024. 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
–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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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Artun YibarDepartment of Food Hygiene and Technology, Faculty of Veterinary Medicine, Bursa Uludag University, Gorukle Bursa, 16059, Türkiye. artunyibar@uludag.edu.tr.
Nihed AjmiDepartment of Aquatic Animal Disease, Faculty of Veterinary Medicine, Bursa Uludag University, Gorukle Bursa, 16059, Türkiye.
Muhammed DumanDepartment of Aquatic Animal Disease, Faculty of Veterinary Medicine, Bursa Uludag University, Gorukle Bursa, 16059, Türkiye.

Funding

Scientific Research Projects Unit of Bursa Uludag University TOA-2022-668
6 · The paper itself

Abstract

backgroundThis study aimed to assess the prevalence and genomic characteristics of Shiga-toxigenic (STEC) and Enteroaggregative E. coli (EAEC) strains in raw mussels and ready-to-eat (RTE)-stuffed mussels, focusing on potential public health implications for identifying virulence and antimicrobial resistance genes.

resultsThe genome sequence analysis identified the E. coli strain named 23EM as serotype O111:H12, with adhesion (fimH-54) and fumarate hydratase (fumC-11) genes. The draft genome (4.9 Mb, 50.6% GC content, 111 contigs, 4,688 genes) is available in NCBI GenBank (accession JAWXVJ000000000). The strain, classified as ST292 and CC ST10, showed high similarity to nonpathogenic E. coli MG1655 but was distinct from pathogenic strains such as EAEC and ExPEC. In silico serotyping revealed the presence of O111-antigen flippase (wzx) and H12-antigen flagellin (fliC) genes. The strain harbors an IncFII (pCoo) plasmid with 96.95% identity. PathogenFinder predicted a 92% probability of being a human pathogen, supported by 720 pathogenic protein families. CRISPR analysis identified one high-evidence sequence with nine spacers and six low-evidence sequences. Phylogenetic analysis using RAxML positioned 23EM close to nonpathogenic E. coli but distant from other pathogenic strains. Antimicrobial resistance genes across multiple classes, including macrolides, fluoroquinolones, and aminoglycosides, were identified. The strain also contains several virulence factors, such as adhesins (e.g., ECP, ELF, TIF, type IV pili), and autotransporter genes (espP, pic), highlighting its significant pathogenic potential and public health risk.

conclusionsThis study highlights the ability of the detection of E. coli strains harboring virulence and antimicrobial resistance genes in mussels, thus emphasizing the importance of ongoing surveillance and careful consideration of the potential risks associated with the consumption of these shellfish.

Indexed as

BivalviaGenome, BacterialAnimalsEscherichia coliGenomicsPhylogenySerogroupVirulence FactorsVirulence FactorsEAECGenome analysisISO 13136Non-STEC serotypesPublic health

Identifiers

PMID39487414
PMCPMC11531133

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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.