[WIP] Complete genome and QbD-guided reverse vaccinology for Streptococcus iniae strain SIKU01

🧬 Whole Genome Assembly of 5 Streptococcus iniae bacteria isolated from diseased Asian Seabass, Thailand, comparative genomics, validation of WGS and in-sillico identification of antigens for vaccine biomanufacturing via Quality by Design (QbD). Organism: Streptococcus iniae isolates from diseased farmed Asian seabass (Lates calcarifer) Technologies: Illumina PE (short-reads) Methodologies: Single reference mapping De novo assembly Reference-guided de novo assembly Multi-reference mapping onto pangenome graphs Literature review and functional annotation of S. iniae proteome Identification of protein subset of candidate antigens based on functional annotations Pre-filtering using a QbD approach with a scoring matrix based on physico-chemical properties of Ags Second-filtering using a QbD approach with a scoring matrix based on E. coli expression system Identification of shared epitopes versus IEDB database of B- Cell epitopes in other animals Scoring and final selection of sets of best-scoring antigens for vaccine biomanufacturing using a range of downstream separation methods. NCBI Submission: Bioproject PRJNA933632 GenBank Sequence of SIKU01 Streptococcus iniae GenomeResults 98 proteins suitable for anion-exchange purification, 20 for cation-exchange, 100 for cellulose-affinity, 49 for silica-affinity, and 57-65 for plasmid DNA platforms. Importantly, this approach recovered well-validated antigens including enolase and GAPDH, which showed minimal sequence variation across our global dataset and have demonstrated 62-80% relative percent survival in previous trials.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-26
DOI
https://doi.org/10.5281/zenodo.17207061
Primary Topic
Agriculture, Water, and Health
Type
article
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article

[WIP] Complete genome and QbD-guided reverse vaccinology for Streptococcus iniae strain SIKU01

Zenodo (CERN European Organization for Nuclear Research)
Agriculture, Water, and Health
article

[WIP] Complete genome and QbD-guided reverse vaccinology for Streptococcus iniae strain SIKU01

article en

Abstract

🧬 Whole Genome Assembly of 5 Streptococcus iniae bacteria isolated from diseased Asian Seabass, Thailand, comparative genomics, validation of WGS and in-sillico identification of antigens for vaccine biomanufacturing via Quality by Design (QbD). Organism: Streptococcus iniae isolates from diseased farmed Asian seabass (Lates calcarifer) Technologies: Illumina PE (short-reads) Methodologies: Single reference mapping De novo assembly Reference-guided de novo assembly Multi-reference mapping onto pangenome graphs Literature review and functional annotation of S. iniae proteome Identification of protein subset of candidate antigens based on functional annotations Pre-filtering using a QbD approach with a scoring matrix based on physico-chemical properties of Ags Second-filtering using a QbD approach with a scoring matrix based on E. coli expression system Identification of shared epitopes versus IEDB database of B- Cell epitopes in other animals Scoring and final selection of sets of best-scoring antigens for vaccine biomanufacturing using a range of downstream separation methods. NCBI Submission: Bioproject PRJNA933632 GenBank Sequence of SIKU01 Streptococcus iniae GenomeResults 98 proteins suitable for anion-exchange purification, 20 for cation-exchange, 100 for cellulose-affinity, 49 for silica-affinity, and 57-65 for plasmid DNA platforms. Importantly, this approach recovered well-validated antigens including enolase and GAPDH, which showed minimal sequence variation across our global dataset and have demonstrated 62-80% relative percent survival in previous trials.

Zenodo (CERN European Organization for Nuclear Research)
Kasetsart University (TH)
Life below water
Openalex Percentile: Top 52%
Agriculture, Water, and Health
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[WIP] Complete genome and QbD-guided reverse vaccinology for Streptococcus iniae strain SIKU01 · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS