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Immunoinformatics design of novel multi-epitope vaccine against Trueperella Pyogenes using collagen adhesion protein, fimbriae, and pyolysin

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Abstract

Trueperella pyogenes (T. pyogenes) is an opportunistic pathogen that causes infertility, mastitis, and metritis in animals. T. pyogenes is also a zoonotic disease and is considered an economic loss agent in the livestock industry. Therefore, vaccine development is necessary. Using an immunoinformatics approach, this study aimed to construct a multi-epitope vaccine against T. pyogenes. The collagen adhesion protein, fimbriae, and pyolysin (PLO) sequences were initially retrieved. The HTL, CTL, and B cell epitopes were predicted. The vaccine was designed by binding these epitopes with linkers. To increase vaccine immunogenicity, profilin was added to the N-terminal of the vaccine construct. The antigenic features and safety of the vaccine model were investigated. Docking, molecular dynamics simulation of the vaccine with immune receptors, and immunological simulation were used to evaluate the vaccine’s efficacy. The vaccine’s sequence was then optimized for cloning. The vaccine construct was designed based on 18 epitopes of T. pyogenes. The computational tools validated the vaccine as non-allergenic, non-toxic, hydrophilic, and stable at different temperatures with acceptable antigenic features. The vaccine model had good affinity and stability to bovine TLR2, 4, and 5 as well as stimulation of IgM, IgG, IL-2, IFN-γ, and Th1 responses. This vaccine also increased long-lived memory cells, dendritic cells, and macrophage population. In addition, codon optimization was done and cloned in the E. coli K12 expression vector (pET-28a). For the first time, this study introduced a novel multi-epitope vaccine candidate based on collagen adhesion protein, fimbriae, and PLO of T. pyogenes. It is expected this vaccine stimulates an effective immune response to prevent T. pyogenes infection.

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Data availability

The datasets [GENERATED/ANALYZED] for this study can be found within the manuscript and in the NCBI (https://www.ncbi.nlm.nih.gov/) with their accession numbers in this manuscript.

Abbreviations

T. pyogenes :

Trueperella pyogenes

PLO:

Pyolysin

GRAVY:

Grand average of hydropathicity

JCat:

JAVA codon adaptation tool

PSSM:

Position-specific scoring matrix

CAI:

Codon adaptation index

TLR:

Toll-like receptor

pI:

Isoelectric point

MW:

Molecular Weight

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Authors and Affiliations

  1. Department of Cell and Molecular Biology & Microbiology, Faculty of Biological Science and Technology, University of Isfahan, Isfahan, Iran

    Babak Beikzadeh

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  1. Babak Beikzadeh
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BB designed the study, organized the database, and performed the analysis, writing, reviewing, and editing.

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Correspondence to Babak Beikzadeh.

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Communicated by Yusuf Akhter.

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Beikzadeh, B. Immunoinformatics design of novel multi-epitope vaccine against Trueperella Pyogenes using collagen adhesion protein, fimbriae, and pyolysin. Arch Microbiol 206, 90 (2024). https://doi.org/10.1007/s00203-023-03814-3

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