High-Throughput DNA Extraction Using Robotic Automation (RoboCTAB) for Large-Scale Genotyping

Area of Science:

• Agricultural Science
• Biotechnology
• Molecular Biology

Background:

• Traditional manual DNA extraction methods for plant genotyping are labor-intensive, prone to errors, and costly.
• Limitations of manual processes hinder efficient, large-scale DNA extraction for genetic analysis.

Purpose of the Study:

• To introduce RoboCTAB, a semi-automated, robotic-assisted DNA extraction system for scalable plant genotyping.
• To adapt the CTAB protocol for robotic liquid handling, ensuring compatibility with high-throughput genotyping.
• To evaluate different plant tissues for DNA extraction efficiency and quality at scale.

Main Methods:

• Developed a semi-automated DNA extraction protocol (RoboCTAB) using affordable liquid-handling robotics.
• Adapted the CTAB protocol for robotic integration and tested various plant tissues (leaves, roots, seed chips).
• Assessed DNA yield, quality, cost-effectiveness, and processing capacity (up to 384 samples per run).

Main Results:

• Young roots (radicle) were the easiest plant tissue to harvest at scale for DNA extraction.
• DNA yield and quality from leaves and roots were sufficient for downstream applications; seed chips were unsuitable.
• RoboCTAB demonstrated significant labor cost savings, high-quality DNA output, and minimized cross-contamination risk.
• The system can process up to 384 samples simultaneously, enhancing cost-efficiency.

Conclusions:

• RoboCTAB offers a scalable, reliable, and accessible solution for high-throughput plant DNA extraction and genotyping.
• This semi-automated system provides an affordable alternative to highly sophisticated, costly platforms.
• RoboCTAB streamlines laboratory workflows, improving efficiency and quality for DNA processing and sequencing at scale.