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Hybrid Genomic Analysis of Salmonella enterica Serovar Enteritidis SE3 Isolated from Polluted Soil in Brazil
In Brazil, Salmonella enterica serovar Enteritidis is a significant health threat. Salmonella enterica serovar Enteritidis SE3 was isolated from soil at the Subaé River in Santo Amaro, Brazil, a region contaminated with heavy metals and organic waste. Illumina HiSeq and Oxford Nanopore Technologies...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9861973/ https://www.ncbi.nlm.nih.gov/pubmed/36677403 http://dx.doi.org/10.3390/microorganisms11010111 |
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author | Romero-Calle, Danitza Xiomara Pedrosa-Silva, Francisnei Tomé, Luiz Marcelo Ribeiro Sousa, Thiago J. de Oliveira Santos, Leila Thaise Santana de Carvalho Azevedo, Vasco Ariston Brenig, Bertram Benevides, Raquel Guimarães Venancio, Thiago M. Billington, Craig Góes-Neto, Aristóteles |
author_facet | Romero-Calle, Danitza Xiomara Pedrosa-Silva, Francisnei Tomé, Luiz Marcelo Ribeiro Sousa, Thiago J. de Oliveira Santos, Leila Thaise Santana de Carvalho Azevedo, Vasco Ariston Brenig, Bertram Benevides, Raquel Guimarães Venancio, Thiago M. Billington, Craig Góes-Neto, Aristóteles |
author_sort | Romero-Calle, Danitza Xiomara |
collection | PubMed |
description | In Brazil, Salmonella enterica serovar Enteritidis is a significant health threat. Salmonella enterica serovar Enteritidis SE3 was isolated from soil at the Subaé River in Santo Amaro, Brazil, a region contaminated with heavy metals and organic waste. Illumina HiSeq and Oxford Nanopore Technologies MinION sequencing were used for de novo hybrid assembly of the Salmonella SE3 genome. This approach yielded 10 contigs with 99.98% identity with S. enterica serovar Enteritidis OLF-SE2-98984-6. Twelve Salmonella pathogenic islands, multiple virulence genes, multiple antimicrobial gene resistance genes, seven phage defense systems, seven prophages and a heavy metal resistance gene were encoded in the genome. Pangenome analysis of the S. enterica clade, including Salmonella SE3, revealed an open pangenome, with a core genome of 2137 genes. Our study showed the effectiveness of a hybrid sequence assembly approach for environmental Salmonella genome analysis using HiSeq and MinION data. This approach enabled the identification of key resistance and virulence genes, and these data are important to inform the control of Salmonella and heavy metal pollution in the Santo Amaro region of Brazil. |
format | Online Article Text |
id | pubmed-9861973 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98619732023-01-22 Hybrid Genomic Analysis of Salmonella enterica Serovar Enteritidis SE3 Isolated from Polluted Soil in Brazil Romero-Calle, Danitza Xiomara Pedrosa-Silva, Francisnei Tomé, Luiz Marcelo Ribeiro Sousa, Thiago J. de Oliveira Santos, Leila Thaise Santana de Carvalho Azevedo, Vasco Ariston Brenig, Bertram Benevides, Raquel Guimarães Venancio, Thiago M. Billington, Craig Góes-Neto, Aristóteles Microorganisms Article In Brazil, Salmonella enterica serovar Enteritidis is a significant health threat. Salmonella enterica serovar Enteritidis SE3 was isolated from soil at the Subaé River in Santo Amaro, Brazil, a region contaminated with heavy metals and organic waste. Illumina HiSeq and Oxford Nanopore Technologies MinION sequencing were used for de novo hybrid assembly of the Salmonella SE3 genome. This approach yielded 10 contigs with 99.98% identity with S. enterica serovar Enteritidis OLF-SE2-98984-6. Twelve Salmonella pathogenic islands, multiple virulence genes, multiple antimicrobial gene resistance genes, seven phage defense systems, seven prophages and a heavy metal resistance gene were encoded in the genome. Pangenome analysis of the S. enterica clade, including Salmonella SE3, revealed an open pangenome, with a core genome of 2137 genes. Our study showed the effectiveness of a hybrid sequence assembly approach for environmental Salmonella genome analysis using HiSeq and MinION data. This approach enabled the identification of key resistance and virulence genes, and these data are important to inform the control of Salmonella and heavy metal pollution in the Santo Amaro region of Brazil. MDPI 2022-12-31 /pmc/articles/PMC9861973/ /pubmed/36677403 http://dx.doi.org/10.3390/microorganisms11010111 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Romero-Calle, Danitza Xiomara Pedrosa-Silva, Francisnei Tomé, Luiz Marcelo Ribeiro Sousa, Thiago J. de Oliveira Santos, Leila Thaise Santana de Carvalho Azevedo, Vasco Ariston Brenig, Bertram Benevides, Raquel Guimarães Venancio, Thiago M. Billington, Craig Góes-Neto, Aristóteles Hybrid Genomic Analysis of Salmonella enterica Serovar Enteritidis SE3 Isolated from Polluted Soil in Brazil |
title | Hybrid Genomic Analysis of Salmonella enterica Serovar Enteritidis SE3 Isolated from Polluted Soil in Brazil |
title_full | Hybrid Genomic Analysis of Salmonella enterica Serovar Enteritidis SE3 Isolated from Polluted Soil in Brazil |
title_fullStr | Hybrid Genomic Analysis of Salmonella enterica Serovar Enteritidis SE3 Isolated from Polluted Soil in Brazil |
title_full_unstemmed | Hybrid Genomic Analysis of Salmonella enterica Serovar Enteritidis SE3 Isolated from Polluted Soil in Brazil |
title_short | Hybrid Genomic Analysis of Salmonella enterica Serovar Enteritidis SE3 Isolated from Polluted Soil in Brazil |
title_sort | hybrid genomic analysis of salmonella enterica serovar enteritidis se3 isolated from polluted soil in brazil |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9861973/ https://www.ncbi.nlm.nih.gov/pubmed/36677403 http://dx.doi.org/10.3390/microorganisms11010111 |
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