Identification of Daboia siamensis venome using integrated multi-omics data

Area of Science:

• Biochemistry
• Genomics
• Proteomics
• Toxicology

Background:

• Snakebite envenoming is a neglected tropical disease causing significant mortality and morbidity globally.
• Current antivenoms lack specificity, leading to treatment complications and high costs.
• Understanding venom composition is crucial for developing effective and affordable antivenoms.

Purpose of the Study:

• To establish and integrate multi-omics data (genomics, transcriptomics, proteomics) for comprehensive venomics analysis.
• To identify novel venom components in Daboia siamensis.
• To provide foundational data for improved antivenom production and novel therapeutic development.

Main Methods:

• Utilized mass spectrometry for in-depth venom proteome analysis.
• Integrated genomic and transcriptomic data to interpret proteomic findings.
• Applied a multi-omics approach to study the venomics of Daboia siamensis.

Main Results:

• Successfully integrated multi-omics data for a detailed study of Daboia siamensis venomics.
• Discovered previously unreported venom proteins, including hyaluronidase-1, phospholipase B, and waprin.
• Demonstrated the advantage of multi-omics data in identifying a broader spectrum of venom components.

Conclusions:

• Multi-omics data significantly enhances the depth and accuracy of venomics studies.
• The identified novel proteins offer potential targets for next-generation antivenoms.
• Findings support the development of more effective, specific, and potentially lower-cost snakebite treatments.