Immunoinformatics and analysis of antigen distribution of Ureaplasma diversum strains isolated from different Brazilian states.


Journal

BMC veterinary research
ISSN: 1746-6148
Titre abrégé: BMC Vet Res
Pays: England
ID NLM: 101249759

Informations de publication

Date de publication:
07 Oct 2020
Historique:
received: 08 07 2020
accepted: 30 09 2020
entrez: 8 10 2020
pubmed: 9 10 2020
medline: 1 5 2021
Statut: epublish

Résumé

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 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. 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.

Sections du résumé

BACKGROUND 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
RESULTS 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 CONCLUSIONS
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.

Identifiants

pubmed: 33028315
doi: 10.1186/s12917-020-02602-1
pii: 10.1186/s12917-020-02602-1
pmc: PMC7542862
doi:

Substances chimiques

Antigens, Bacterial 0
Lipid-Linked Proteins 0
Virulence Factors 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

379

Subventions

Organisme : Fundação de Amparo à Pesquisa do Estado de São Paulo
ID : 2017/25686-3
Organisme : Conselho Nacional de Desenvolvimento Científico e Tecnológico
ID : 409758/2018-3
Organisme : Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
ID : Code 001

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Auteurs

Manoel Neres Santos Junior (MN)

Department of Biointeraction, Multidisciplinary Institute of Health, Universidade Federal da Bahia, Rua Hormindo Barros, 58 - Quadra 17 - Lote 58, Bairro Candeias - CEP: 45.029-094, Vitória da Conquista, BA, Brazil.
Department of Microbiology, State University of Santa Cruz (UESC), Ilhéus, Brazil.

Ronaldo Silva Santos (RS)

Department of Biointeraction, Multidisciplinary Institute of Health, Universidade Federal da Bahia, Rua Hormindo Barros, 58 - Quadra 17 - Lote 58, Bairro Candeias - CEP: 45.029-094, Vitória da Conquista, BA, Brazil.

Wanderson Souza Neves (WS)

Department of Biointeraction, Multidisciplinary Institute of Health, Universidade Federal da Bahia, Rua Hormindo Barros, 58 - Quadra 17 - Lote 58, Bairro Candeias - CEP: 45.029-094, Vitória da Conquista, BA, Brazil.

Janaina Marinho Fernandes (JM)

Department of Biointeraction, Multidisciplinary Institute of Health, Universidade Federal da Bahia, Rua Hormindo Barros, 58 - Quadra 17 - Lote 58, Bairro Candeias - CEP: 45.029-094, Vitória da Conquista, BA, Brazil.

Bruna Carolina de Brito Guimarães (BC)

Department of Microbiology, State University of Santa Cruz (UESC), Ilhéus, Brazil.

Maysa Santos Barbosa (MS)

Department of Microbiology, Institute of Biomedical Science, University of São Paulo, São Paulo, Brazil.

Lucas Santana Coelho Silva (LSC)

Department of Microbiology, State University of Santa Cruz (UESC), Ilhéus, Brazil.

Camila Pacheco Gomes (CP)

Department of Microbiology, State University of Santa Cruz (UESC), Ilhéus, Brazil.

Izadora Souza Rezende (IS)

Department of Microbiology, Institute of Biomedical Science, University of São Paulo, São Paulo, Brazil.

Caline Novaes Teixeira Oliveira (CNT)

Department of Biointeraction, Multidisciplinary Institute of Health, Universidade Federal da Bahia, Rua Hormindo Barros, 58 - Quadra 17 - Lote 58, Bairro Candeias - CEP: 45.029-094, Vitória da Conquista, BA, Brazil.
Department of Microbiology, State University of Santa Cruz (UESC), Ilhéus, Brazil.

Nayara Silva de Macêdo Neres (NS)

Department of Biointeraction, Multidisciplinary Institute of Health, Universidade Federal da Bahia, Rua Hormindo Barros, 58 - Quadra 17 - Lote 58, Bairro Candeias - CEP: 45.029-094, Vitória da Conquista, BA, Brazil.

Guilherme Barreto Campos (GB)

Department of Biointeraction, Multidisciplinary Institute of Health, Universidade Federal da Bahia, Rua Hormindo Barros, 58 - Quadra 17 - Lote 58, Bairro Candeias - CEP: 45.029-094, Vitória da Conquista, BA, Brazil.

Bruno Lopes Bastos (BL)

Department of Biointeraction, Multidisciplinary Institute of Health, Universidade Federal da Bahia, Rua Hormindo Barros, 58 - Quadra 17 - Lote 58, Bairro Candeias - CEP: 45.029-094, Vitória da Conquista, BA, Brazil.

Jorge Timenetsky (J)

Department of Microbiology, Institute of Biomedical Science, University of São Paulo, São Paulo, Brazil.

Lucas Miranda Marques (LM)

Department of Biointeraction, Multidisciplinary Institute of Health, Universidade Federal da Bahia, Rua Hormindo Barros, 58 - Quadra 17 - Lote 58, Bairro Candeias - CEP: 45.029-094, Vitória da Conquista, BA, Brazil. lmirandamarques@gmail.com.
Department of Microbiology, State University of Santa Cruz (UESC), Ilhéus, Brazil. lmirandamarques@gmail.com.
Department of Microbiology, Institute of Biomedical Science, University of São Paulo, São Paulo, Brazil. lmirandamarques@gmail.com.

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