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

BMC Veterinary Research

Guilherme Barreto Campos¹  Bruno Lopes Bastos¹  Ronaldo Silva Santos¹  Wanderson Souza Neves¹  Janaina Marinho Fernandes¹  Nayara Silva de Macêdo Neres¹  Manoel Neres Santos Junior²  Caline Novaes Teixeira Oliveira²  Lucas Miranda Marques³  Jorge Timenetsky⁴  Izadora Souza Rezende⁴  Maysa Santos Barbosa⁴  Camila Pacheco Gomes⁵  Bruna Carolina de Brito Guimarães⁵  Lucas Santana Coelho Silva⁵ 

[1] 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 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;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;Department of Microbiology, Institute of Biomedical Science, University of São Paulo, São Paulo, Brazil;Department of Microbiology, Institute of Biomedical Science, University of São Paulo, São Paulo, Brazil;Department of Microbiology, State University of Santa Cruz (UESC), Ilhéus, Brazil;

关键词: Ureaplasma diversum;    Immunoinformatics;    Lipoproteins;    Prediction;   

DOI  :  10.1186/s12917-020-02602-1

来源: Springer

【 摘 要 】

BackgroundUreaplasma 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.ResultsIn 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.ConclusionThese 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.

【 授权许可】

CC BY