Immunoinformatics and analysis of antigen distribution of Ureaplasma diversum strains isolated from different Brazilian
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(2020) 16:379
RESEARCH ARTICLE
Open Access
Immunoinformatics and analysis of antigen distribution of Ureaplasma diversum strains isolated from different Brazilian states Manoel Neres Santos Junior1,2, Ronaldo Silva Santos1, Wanderson Souza Neves1, Janaina Marinho Fernandes1, Bruna Carolina de Brito Guimarães2, Maysa Santos Barbosa3, Lucas Santana Coelho Silva2, Camila Pacheco Gomes2, Izadora Souza Rezende3, Caline Novaes Teixeira Oliveira1,2, Nayara Silva de Macêdo Neres1, Guilherme Barreto Campos1, Bruno Lopes Bastos1, Jorge Timenetsky3 and Lucas Miranda Marques1,2,3*
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. Keywords: Ureaplasma diversum, Immunoinformatics, Lipoproteins, Prediction
* Correspondence: [email protected] 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 2 Department of Microbiology, State University of Santa Cruz (UESC), Ilhéus, Brazil Full list of author information is available at the end of the article © The Author(s). 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribut
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