Evidence map›Paper›PMID 38010338›Full record

ArticleMicrobial genomics2023

Development of a novel streamlined workflow (AACRE) and database (inCREDBle) for genomic analysis of carbapenem-resistant Enterobacterales.

Tyler S Alioto, Marta Gut, Bruno Kotska Rodiño-Janeiro, Fernando Cruz, Jèssica Gómez-Garrido, Juan Carlos Vázquez-Ucha, Caterina Mata, Regina Antoni, Ferran Briansó, Marc Dabad and 5 more

Abstract read
In one paragraph

Article in Microbial genomics, 2023. 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

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

2 citing papers in PubMed.

  1. Article
  2. Emergence of OXA-48-producingFrontiers in cellular and infection microbiology · 2026
    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

15 authors.

Tyler S AliotoCentro Nacional de Análisis Genómico, C/Baldiri Reixac 4, 08028 Barcelona, Spain.
Marta GutCentro Nacional de Análisis Genómico, C/Baldiri Reixac 4, 08028 Barcelona, Spain.
Bruno Kotska Rodiño-JaneiroMicrobiology Department, Complejo Hospitalario Universitario A Coruña-Instituto Investigación Biomédica A Coruña (INIBIC), A Coruña, Spain.
Fernando CruzCentro Nacional de Análisis Genómico, C/Baldiri Reixac 4, 08028 Barcelona, Spain.
Jèssica Gómez-GarridoCentro Nacional de Análisis Genómico, C/Baldiri Reixac 4, 08028 Barcelona, Spain.
Juan Carlos Vázquez-UchaMicrobiology Department, Complejo Hospitalario Universitario A Coruña-Instituto Investigación Biomédica A Coruña (INIBIC), A Coruña, Spain.
Caterina MataCentro Nacional de Análisis Genómico, C/Baldiri Reixac 4, 08028 Barcelona, Spain.
Regina AntoniCentro Nacional de Análisis Genómico, C/Baldiri Reixac 4, 08028 Barcelona, Spain.
Ferran BriansóDepartment of Genetics, Microbiology and Statistics, Universitat de Barcelona (UB), Barcelona, Spain.
Marc DabadCentro Nacional de Análisis Genómico, C/Baldiri Reixac 4, 08028 Barcelona, Spain.
Eloi CasalsCentro Nacional de Análisis Genómico, C/Baldiri Reixac 4, 08028 Barcelona, Spain.
Matthew InghamCentro Nacional de Análisis Genómico, C/Baldiri Reixac 4, 08028 Barcelona, Spain.
Miguel Álvarez-TejadoRoche Diagnostics, Sant Cugat del Vallès, Barcelona, Spain.
Germán BouMicrobiology Department, Complejo Hospitalario Universitario A Coruña-Instituto Investigación Biomédica A Coruña (INIBIC), A Coruña, Spain.
Ivo G GutCentro Nacional de Análisis Genómico, C/Baldiri Reixac 4, 08028 Barcelona, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In response to the threat of increasing antimicrobial resistance, we must increase the amount of available high-quality genomic data gathered on antibiotic-resistant bacteria. To this end, we developed an integrated pipeline for high-throughput long-read sequencing, assembly, annotation and analysis of bacterial isolates and used it to generate a large genomic data set of carbapenemase-producing Enterobacterales (CPE) isolates collected in Spain. The set of 461 isolates were sequenced with a combination of both Illumina and Oxford Nanopore Technologies (ONT) DNA sequencing technologies in order to provide genomic context for chromosomal loci and, most importantly, structural resolution of plasmids, important determinants for transmission of antimicrobial resistance. We developed an informatics pipeline called Assembly and Annotation of Carbapenem-Resistant Enterobacteriaceae (AACRE) for the full assembly and annotation of the bacterial genomes and their complement of plasmids. To explore the resulting genomic data set, we developed a new database called inCREDBle that not only stores the genomic data, but provides unique ways to filter and compare data, enabling comparative genomic analyses at the level of chromosomes, plasmids and individual genes. We identified a new sequence type, ST5000, and discovered a genomic locus unique to ST15 that may be linked to its increased spread in the population. In addition to our major objective of generating a large regional data set, we took the opportunity to compare the effects of sample quality and sequencing methods, including R9 versus R10 nanopore chemistry, on genome assembly and annotation quality. We conclude that converting short-read and hybrid microbial sequencing and assembly workflows to the latest nanopore chemistry will further reduce processing time and cost, truly enabling the routine monitoring of resistance transmission patterns at the resolution of complete chromosomes and plasmids.

Indexed as

Carbapenem-Resistant EnterobacteriaceaeCarbapenemsAnti-Bacterial AgentsGenomicsWorkflowAnti-Bacterial AgentsCarbapenemsantimicrobial resistancecarbapenem-resistant Enterobacteralesdatabasegenome assemblynanopore sequencing

Identifiers

PMID38010338
PMCPMC10711315

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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.