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

• Published in: BMC veterinary research Vol. 16; no. 1; p. 379
• Main Authors: 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
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 07-10-2020; BioMed Central; BMC
• Subjects: Amino acids; Animals; Antigenic determinants; Antigenicity; Antigens; Antigens, Bacterial - chemistry; Antigens, Bacterial - genetics; B-Lymphocytes - immunology; Bacterial infections; Brazil; Cattle; Cattle diseases; CD8 antigen; Computer programs; Computer Simulation; Development and progression; Distribution; Epitopes; Genes; Genetic aspects; Genomes; Genomics; Immunogenicity; Immunoinformatics; Lipid-Linked Proteins - genetics; Lipid-Linked Proteins - immunology; Lipoproteins; Lymphocytes B; Lymphocytes T; Membrane proteins; Methods; Molecular weight; Mollicutes; Pathogens; Peptides; Physicochemical properties; Prediction; Proteins; Ureaplasma - genetics; Ureaplasma - immunology; Ureaplasma diversum; Veterinary immunology; Veterinary research; Virulence; Virulence (Microbiology); Virulence factors; Virulence Factors - genetics; Virulence Factors - immunology; Brazil; Ureaplasma diversum; Lipoproteins; Prediction; Immunoinformatics
• ISSN: 1746-6148; 1746-6148
• DOI: 10.1186/s12917-020-02602-1

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.
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.