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Genomic Analysis of Yersinia pestis Strains from Brazil: Search for Virulence Factors and Association with Epidemiological Data
Yersinia pestis, the etiological agent of the plague, is considered a genetically homogeneous species. Brazil is currently in a period of epidemiological silence but plague antibodies are still detected in sentinel animals, suggesting disease activity in the sylvatic cycle. The present study deploye...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10459997/ https://www.ncbi.nlm.nih.gov/pubmed/37623951 http://dx.doi.org/10.3390/pathogens12080991 |
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author | Pitta, João Luiz de Lemos Padilha Bezerra, Matheus Filgueira Fernandes, Diego Leandro Reis da Silva de Block, Tessa Novaes, Ane de Souza de Almeida, Alzira Maria Paiva Rezende, Antonio Mauro |
author_facet | Pitta, João Luiz de Lemos Padilha Bezerra, Matheus Filgueira Fernandes, Diego Leandro Reis da Silva de Block, Tessa Novaes, Ane de Souza de Almeida, Alzira Maria Paiva Rezende, Antonio Mauro |
author_sort | Pitta, João Luiz de Lemos Padilha |
collection | PubMed |
description | Yersinia pestis, the etiological agent of the plague, is considered a genetically homogeneous species. Brazil is currently in a period of epidemiological silence but plague antibodies are still detected in sentinel animals, suggesting disease activity in the sylvatic cycle. The present study deployed an in silico approach to analyze virulence factors among 407 Brazilian genomes of Y. pestis belonging to the Fiocruz Collection (1966–1997). The pangenome analysis associated several known virulence factors of Y. pestis in clades according to the presence or absence of genes. Four main strain clades (C, E, G, and H) exhibited the absence of various virulence genes. Notably, clade G displayed the highest number of absent genes, while clade E showed a significant absence of genes related to the T6SS secretion system and clade H predominantly demonstrated the absence of plasmid-related genes. These results suggest attenuation of virulence in these strains over time. The cgMLST analysis associated genomic and epidemiological data highlighting evolutionary patterns related to the isolation years and outbreaks of Y. pestis in Brazil. Thus, the results contribute to the understanding of the genetic diversity and virulence within Y. pestis and the potential for utilizing genomic data in epidemiological investigations. |
format | Online Article Text |
id | pubmed-10459997 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-104599972023-08-27 Genomic Analysis of Yersinia pestis Strains from Brazil: Search for Virulence Factors and Association with Epidemiological Data Pitta, João Luiz de Lemos Padilha Bezerra, Matheus Filgueira Fernandes, Diego Leandro Reis da Silva de Block, Tessa Novaes, Ane de Souza de Almeida, Alzira Maria Paiva Rezende, Antonio Mauro Pathogens Article Yersinia pestis, the etiological agent of the plague, is considered a genetically homogeneous species. Brazil is currently in a period of epidemiological silence but plague antibodies are still detected in sentinel animals, suggesting disease activity in the sylvatic cycle. The present study deployed an in silico approach to analyze virulence factors among 407 Brazilian genomes of Y. pestis belonging to the Fiocruz Collection (1966–1997). The pangenome analysis associated several known virulence factors of Y. pestis in clades according to the presence or absence of genes. Four main strain clades (C, E, G, and H) exhibited the absence of various virulence genes. Notably, clade G displayed the highest number of absent genes, while clade E showed a significant absence of genes related to the T6SS secretion system and clade H predominantly demonstrated the absence of plasmid-related genes. These results suggest attenuation of virulence in these strains over time. The cgMLST analysis associated genomic and epidemiological data highlighting evolutionary patterns related to the isolation years and outbreaks of Y. pestis in Brazil. Thus, the results contribute to the understanding of the genetic diversity and virulence within Y. pestis and the potential for utilizing genomic data in epidemiological investigations. MDPI 2023-07-28 /pmc/articles/PMC10459997/ /pubmed/37623951 http://dx.doi.org/10.3390/pathogens12080991 Text en © 2023 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 Pitta, João Luiz de Lemos Padilha Bezerra, Matheus Filgueira Fernandes, Diego Leandro Reis da Silva de Block, Tessa Novaes, Ane de Souza de Almeida, Alzira Maria Paiva Rezende, Antonio Mauro Genomic Analysis of Yersinia pestis Strains from Brazil: Search for Virulence Factors and Association with Epidemiological Data |
title | Genomic Analysis of Yersinia pestis Strains from Brazil: Search for Virulence Factors and Association with Epidemiological Data |
title_full | Genomic Analysis of Yersinia pestis Strains from Brazil: Search for Virulence Factors and Association with Epidemiological Data |
title_fullStr | Genomic Analysis of Yersinia pestis Strains from Brazil: Search for Virulence Factors and Association with Epidemiological Data |
title_full_unstemmed | Genomic Analysis of Yersinia pestis Strains from Brazil: Search for Virulence Factors and Association with Epidemiological Data |
title_short | Genomic Analysis of Yersinia pestis Strains from Brazil: Search for Virulence Factors and Association with Epidemiological Data |
title_sort | genomic analysis of yersinia pestis strains from brazil: search for virulence factors and association with epidemiological data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10459997/ https://www.ncbi.nlm.nih.gov/pubmed/37623951 http://dx.doi.org/10.3390/pathogens12080991 |
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