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Immunoinformatics and analysis of antigen distribution of Ureaplasma diversum strains isolated from different Brazilian states
BACKGROUND: Ureaplasma diversum has numerous virulence factors that contribute to pathogenesis in cattle, including Lipid-associated membrane proteins (LAMPs). Therefore, the objectives of this study were to evaluate in silico important characteristics for immunobiological applications and for heter...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7542862/ https://www.ncbi.nlm.nih.gov/pubmed/33028315 http://dx.doi.org/10.1186/s12917-020-02602-1 |
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author | Santos Junior, Manoel Neres Santos, Ronaldo Silva Neves, Wanderson Souza Fernandes, Janaina Marinho de Brito Guimarães, Bruna Carolina Barbosa, Maysa Santos Silva, Lucas Santana Coelho Gomes, Camila Pacheco Rezende, Izadora Souza Oliveira, Caline Novaes Teixeira de Macêdo Neres, Nayara Silva Campos, Guilherme Barreto Bastos, Bruno Lopes Timenetsky, Jorge Marques, Lucas Miranda |
author_facet | Santos Junior, Manoel Neres Santos, Ronaldo Silva Neves, Wanderson Souza Fernandes, Janaina Marinho de Brito Guimarães, Bruna Carolina Barbosa, Maysa Santos Silva, Lucas Santana Coelho Gomes, Camila Pacheco Rezende, Izadora Souza Oliveira, Caline Novaes Teixeira de Macêdo Neres, Nayara Silva Campos, Guilherme Barreto Bastos, Bruno Lopes Timenetsky, Jorge Marques, Lucas Miranda |
author_sort | Santos Junior, Manoel Neres |
collection | PubMed |
description | BACKGROUND: Ureaplasma diversum has numerous virulence factors that contribute to pathogenesis in cattle, including Lipid-associated membrane proteins (LAMPs). Therefore, the objectives of this study were to evaluate in silico important characteristics for immunobiological applications and for heterologous expression of 36 LAMPs of U. diversum (UdLAMPs) and, also, to verify by conventional PCR the distribution of these antigens in strains of Brazilian states (Bahia, Minas Gerais, São Paulo, and Mato Grosso do Sul). The Manatee database was used to obtain the gene and peptide sequences of the antigens. Similarity and identity studies were performed using BLASTp and direct antigenicity was evaluated by the VaxiJen v2.0 server. Epitope prediction for B lymphocytes was performed on the BepiPred v2.0 and CBTOPE v1.0 servers. NetBoLApan v1.0 was used to predict CD8(+) T lymphocyte epitopes. Subcellular location and presence of transmembrane regions were verified by the software PSORTb v3.0.2 and TMHMM v2.2 respectively. SignalP v5.0, SecretomeP v2.0, and DOLOP servers were used to predict the extracellular excretion signal. Physico-chemical properties were evaluated by the web-software ProtParam, Solpro, and Protein-sol. RESULTS: In silico analysis revealed that many UdLAMPs have desirable properties for immunobiological applications and heterologous expression. The proteins gudiv_61, gudiv_103, gudiv_517, and gudiv_681 were most promising. Strains from the 4 states were PCR positive for antigens predicted with immunogenic and/or with good characteristics for expression in a heterologous system. CONCLUSION: These works contribute to a better understanding of the immunobiological properties of the UdLAMPs and provide a profile of the distribution of these antigens in different Brazilian states. |
format | Online Article Text |
id | pubmed-7542862 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-75428622020-10-13 Immunoinformatics and analysis of antigen distribution of Ureaplasma diversum strains isolated from different Brazilian states Santos Junior, Manoel Neres Santos, Ronaldo Silva Neves, Wanderson Souza Fernandes, Janaina Marinho de Brito Guimarães, Bruna Carolina Barbosa, Maysa Santos Silva, Lucas Santana Coelho Gomes, Camila Pacheco Rezende, Izadora Souza Oliveira, Caline Novaes Teixeira de Macêdo Neres, Nayara Silva Campos, Guilherme Barreto Bastos, Bruno Lopes Timenetsky, Jorge Marques, Lucas Miranda BMC Vet Res Research Article BACKGROUND: Ureaplasma diversum has numerous virulence factors that contribute to pathogenesis in cattle, including Lipid-associated membrane proteins (LAMPs). Therefore, the objectives of this study were to evaluate in silico important characteristics for immunobiological applications and for heterologous expression of 36 LAMPs of U. diversum (UdLAMPs) and, also, to verify by conventional PCR the distribution of these antigens in strains of Brazilian states (Bahia, Minas Gerais, São Paulo, and Mato Grosso do Sul). The Manatee database was used to obtain the gene and peptide sequences of the antigens. Similarity and identity studies were performed using BLASTp and direct antigenicity was evaluated by the VaxiJen v2.0 server. Epitope prediction for B lymphocytes was performed on the BepiPred v2.0 and CBTOPE v1.0 servers. NetBoLApan v1.0 was used to predict CD8(+) T lymphocyte epitopes. Subcellular location and presence of transmembrane regions were verified by the software PSORTb v3.0.2 and TMHMM v2.2 respectively. SignalP v5.0, SecretomeP v2.0, and DOLOP servers were used to predict the extracellular excretion signal. Physico-chemical properties were evaluated by the web-software ProtParam, Solpro, and Protein-sol. RESULTS: In silico analysis revealed that many UdLAMPs have desirable properties for immunobiological applications and heterologous expression. The proteins gudiv_61, gudiv_103, gudiv_517, and gudiv_681 were most promising. Strains from the 4 states were PCR positive for antigens predicted with immunogenic and/or with good characteristics for expression in a heterologous system. CONCLUSION: These works contribute to a better understanding of the immunobiological properties of the UdLAMPs and provide a profile of the distribution of these antigens in different Brazilian states. BioMed Central 2020-10-07 /pmc/articles/PMC7542862/ /pubmed/33028315 http://dx.doi.org/10.1186/s12917-020-02602-1 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Santos Junior, Manoel Neres Santos, Ronaldo Silva Neves, Wanderson Souza Fernandes, Janaina Marinho de Brito Guimarães, Bruna Carolina Barbosa, Maysa Santos Silva, Lucas Santana Coelho Gomes, Camila Pacheco Rezende, Izadora Souza Oliveira, Caline Novaes Teixeira de Macêdo Neres, Nayara Silva Campos, Guilherme Barreto Bastos, Bruno Lopes Timenetsky, Jorge Marques, Lucas Miranda Immunoinformatics and analysis of antigen distribution of Ureaplasma diversum strains isolated from different Brazilian states |
title | Immunoinformatics and analysis of antigen distribution of Ureaplasma diversum strains isolated from different Brazilian states |
title_full | Immunoinformatics and analysis of antigen distribution of Ureaplasma diversum strains isolated from different Brazilian states |
title_fullStr | Immunoinformatics and analysis of antigen distribution of Ureaplasma diversum strains isolated from different Brazilian states |
title_full_unstemmed | Immunoinformatics and analysis of antigen distribution of Ureaplasma diversum strains isolated from different Brazilian states |
title_short | Immunoinformatics and analysis of antigen distribution of Ureaplasma diversum strains isolated from different Brazilian states |
title_sort | immunoinformatics and analysis of antigen distribution of ureaplasma diversum strains isolated from different brazilian states |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7542862/ https://www.ncbi.nlm.nih.gov/pubmed/33028315 http://dx.doi.org/10.1186/s12917-020-02602-1 |
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