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

• Main Authors: Manoel Neres Santos Junior, Ronaldo Silva Santos, Wanderson Souza Neves, Janaina Marinho Fernandes, Bruna Carolina de Brito Guimarães, Maysa Santos Barbosa, Lucas Santana Coelho Silva, Camila Pacheco Gomes, Izadora Souza Rezende, Caline Novaes Teixeira Oliveira, Nayara Silva de Macêdo Neres, Guilherme Barreto Campos, Bruno Lopes Bastos, Jorge Timenetsky, Lucas Miranda Marques
• Format: Article
• Language: English
• Published: BMC 2020-10-01
• Series: BMC Veterinary Research
• Subjects: Ureaplasma diversum; Immunoinformatics; Lipoproteins; Prediction
• Online Access: http://link.springer.com/article/10.1186/s12917-020-02602-1

Abstract 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.