Evidence map›Paper›PMID 38806731›Full record

ArticleMolecular genetics and genomics : MGG2024

CRISPR and CRISPR-MVLST reveal conserved spacer distribution and high similarity among Salmonella enterica serovar Infantis genomes from Brazil and other countries.

Felipe Pinheiro Vilela, Dália Dos Prazeres Rodrigues, Marc William Allard, Juliana Pfrimer Falcão

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Article in Molecular genetics and genomics : MGG, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Felipe Pinheiro VilelaDepartamento de Análises Clínicas, Toxicológicas E Bromatológicas, Faculdade de Ciências Farmacêuticas de Ribeirão Preto - USP, Av. Do Café, s/n. Bloco S - Sala 41, Ribeirão Preto, SP, 14040-903, Brazil.ORCID http://orcid.org/0000-0002-7506-6181
Dália Dos Prazeres RodriguesFundação Oswaldo Cruz - FIOCRUZ, Av. Brasil, 4365, Pavilhão Rocha Lima, Rio de Janeiro, RJ, 21040-900, Brazil.ORCID http://orcid.org/0000-0003-1101-5518
Marc William Allard *Division of Microbiology, Office of Regulatory Science, Center for Food Safety and Applied Nutrition, U.S. Food and Drug Administration, College Park, MD, USA.ORCID http://orcid.org/0000-0001-8841-8847
Juliana Pfrimer Falcão *Departamento de Análises Clínicas, Toxicológicas E Bromatológicas, Faculdade de Ciências Farmacêuticas de Ribeirão Preto - USP, Av. Do Café, s/n. Bloco S - Sala 41, Ribeirão Preto, SP, 14040-903, Brazil. jufalcao@fcfrp.usp.br.ORCID http://orcid.org/0000-0002-1459-9355

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 304399/2018-3Conselho Nacional de Desenvolvimento Científico e Tecnológico 304803/2021-9Coordenação de Aperfeiçoamento de Pessoal de Nível Superior Finance Code 001Fundação de Amparo à Pesquisa do Estado de São Paulo 2016/24716-3Fundação de Amparo à Pesquisa do Estado de São Paulo 2019/06947-6Fundação de Amparo à Pesquisa do Estado de São Paulo 2021/07365-0Fundação de Amparo à Pesquisa do Estado de São Paulo 2022/07013-0
6 · The paper itself

Abstract

Salmonella enterica serovar Infantis (S. Infantis) is a globally distributed non-typhoid serovar infecting humans and food-producing animals. Considering the zoonotic potential and public health importance of this serovar, strategies to characterizing, monitor and control this pathogen are of great importance. This study aimed to determine the genetic relatedness of 80 Brazilian S. Infantis genomes in comparison to 40 non-Brazilian genomes from 14 countries using Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) and CRISPR-Multi-Locus Virulence Sequence Typing (CRISPR-MVLST). CRISPR spacers were searched using CRISPR-Cas++ and fimH and sseL alleles using BLAST and MEGA X. Results were analyzed using BioNumerics 7.6 in order to obtain similarity dendrograms. A total of 23 CRISPR1 and 11 CRISPR2 alleles formed by 37 and 26 types of spacers, respectively, were detected. MVLST revealed the presence of five fimH and three sseL alleles. CRISPR's similarity dendrogram showed 32 strain subtypes, with an overall similarity ≥ 78.6. The CRISPR-MVLST similarity dendrogram showed 37 subtypes, with an overall similarity ≥ 79.2. In conclusion, S. Infantis strains isolated from diverse sources in Brazil and other countries presented a high genetic similarity according to CRISPR and CRISPR-MVLST, regardless of their source, year, and/or place of isolation. These results suggest that both methods might be useful for molecular typing S. Infantis strains using WGS data.

Indexed as

Clustered Regularly Interspaced Short Palindromic RepeatsGenome, BacterialSalmonella entericaAnimalsBrazilCRISPR-Cas SystemsHumansMultilocus Sequence TypingPhylogenySerogroupCRISPRMolecular epidemiologyMVLSTSalmonella InfantisWhole-genome sequencing

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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.