Evidence map›Paper›PMID 40869928›Full record

ArticleGenes2025

Integrated Whole-Genome Sequencing and In Silico Characterization of

Nathaly Barros Nunes, Vinicius Silva Castro, Adelino da Cunha-Neto, Fernanda Tavares Carvalho, Ricardo César Tavares Carvalho, Eduardo Eustáquio de Souza Figueiredo

Abstract read
In one paragraph

Article in Genes, 2025. 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. Genomic characterization of a pathogenicFrontiers in 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

6 authors.

Nathaly Barros NunesFaculty of Agronomy and Zootechnics, Federal University of Mato Grosso (UFMT), Cuiabá 78060-900, MT, Brazil.
Vinicius Silva CastroFaculty of Agronomy and Zootechnics, Federal University of Mato Grosso (UFMT), Cuiabá 78060-900, MT, Brazil.ORCID 0000-0002-4746-0237
Adelino da Cunha-NetoFaculty of Nutrition, Federal University of Mato Grosso (UFMT), Cuiabá 78060-900, MT, Brazil.
Fernanda Tavares CarvalhoProgram in Animal Bioscience, University of Cuiabá (UNIC), Cuiabá 78065-900, MT, Brazil.
Ricardo César Tavares CarvalhoProgram in Animal Bioscience, University of Cuiabá (UNIC), Cuiabá 78065-900, MT, Brazil.ORCID 0000-0002-0666-7135
Eduardo Eustáquio de Souza FigueiredoFaculty of Agronomy and Zootechnics, Federal University of Mato Grosso (UFMT), Cuiabá 78060-900, MT, Brazil.ORCID 0000-0002-2608-4324

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)/Brazil 310181/2021-6Fundação Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) 88887.828908/2023-00 and 88887.692875/2022-00
6 · The paper itself

Abstract

background

objectivesWe evaluated their antimicrobial resistance profiles, virulence factors, plasmid content, serotypes and phylogenetic relationships.

methodsDNA was extracted and sequenced on the NovaSeq 6000 platform; the pangenome was assembled using the Roary tool; and the phylogenetic tree was constructed via IQ-TREE. RESULTS AND DISCUSSION: For contextualization and comparison, 3493

conclusionsFinally, the serovars exhibit distinct virulence profiles, which results in different clinical outcomes.

Indexed as

Genome, BacterialSalmonellaAnimalsAnti-Bacterial AgentsBrazilCattleCheeseComputer SimulationDrug Resistance, BacterialPhylogenyPlasmidsVirulence FactorsWhole Genome SequencingAnti-Bacterial AgentsVirulence Factorsbacterial virulencebeefcheesepathogenicitySalmonella CerroSalmonella SchwarzengrundWGSwhole-genome sequencing

Identifiers

PMID40869928
PMCPMC12385404

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.