Scalable Combinatorial Assembly of Synthetic DNA for Tracking Applications

Area of Science:

• Molecular Biology
• Bioinformatics
• Synthetic Biology

Background:

• DNA barcodes offer robust, sensitive detection for tracking objects and organisms.
• Existing DNA barcode library designs lack economy and scalability.
• Developing cost-effective, scalable DNA barcode libraries is crucial for widespread adoption.

Purpose of the Study:

• To present a novel modular approach for designing economical and scalable DNA barcode libraries.
• To demonstrate the construction and validation of first-generation (N=256) and second-generation (N=512) modular barcode libraries.
• To highlight the flexibility and multiplexing capabilities of the modular design for high-throughput applications.

Main Methods:

• Constructing barcode sequences from smaller, interchangeable blocks for combinatorial assembly.
• Utilizing a liquid-handling robot for precise oligonucleotide mixing to prevent contamination.
• Employing next-generation sequencing (NGS) for parallel detection of multiple samples.
• Analyzing deletion variants to refine sequence design for improved assembly specificity.

Main Results:

• Successfully designed and constructed first-generation (N=256) and second-generation (N=512) modular barcode libraries using limited oligonucleotides.
• Demonstrated in-house generation of unique DNA tags, reducing external dependencies.
• Achieved parallel detection of 256 samples using NGS, showcasing high multiplexing capacity.
• Improved barcode assembly specificity in the second-generation library based on first-generation variant analysis.

Conclusions:

• The modular DNA barcode design provides an economical and scalable method for creating diverse DNA tags.
• In-house generation and high-throughput sequencing enable flexible and efficient deployment of DNA barcodes.
• This approach enhances the potential of DNA as a robust information storage medium for various tracking applications.