Researchers Developed New Plasmid Sequencing Protocol

The PICARD-seq method offers a faster, more accurate way to validate laboratory-made genetic material.

Updated on Sept. 24, 2026 in Life Sciences

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Researchers have introduced PICARD-seq, a new sequencing protocol designed to quickly and accurately identify errors in laboratory-made plasmids used in genetic research. AI Illustration. Upload story photo >

Scientists have introduced PICARD-seq, a new protocol designed to identify errors in laboratory-made plasmids. The method leverages Tn5 barcoding and MinION sequencing to address common sequencing inaccuracies.

Why it matters

Traditional Sanger sequencing scales poorly, while short-read methods struggle to resolve repeated DNA sequences. This new approach provides a more reliable alternative for ensuring the integrity of genetic components used in research.

The study validated 25 plasmids using a reduced 20x minimum coverage threshold, which improved assembly results for large, repetitive samples compared to the original 60x requirement. Processing times ranged from 13-18 minutes for ONT EPI2ME to 81-111 minutes for Autocycler.

The details

PICARD-seq utilizes off-the-shelf Tn5 rapid barcoding reagents to sequence pools of whole plasmids and employs minimap2 to distinguish sequence differences from assembly artifacts. The technique successfully identified problematic issues like backbone concatemers and misincorporated parts that often plague laboratory-synthesized DNA.

Timeline

  1. September 24, 2026: The research article detailing the PICARD-seq protocol was published.

The Big Picture

This research moves beyond the limitations inherent in the Sanger sequencing standard by applying modern long-read genomic analysis to synthetic biology. By optimizing assembly pipelines, the work bridges a significant gap in genetic quality control that has long challenged the field of molecular biology.

This protocol enables laboratories to more accurately identify errors in synthesized DNA, potentially reducing the frequency of experimental failures caused by faulty genetic parts. Researchers can adopt these optimized coverage and assembly parameters to streamline their internal validation workflows.

The takeaway

Approximately one-third of laboratory-made plasmids currently contain sequence errors that can derail downstream experiments. Adopting long-read sequencing protocols like PICARD-seq provides a scalable way to ensure the quality of genetic materials before beginning complex bench work.

Further reading

For more on emerging tools in genomic research, visit Life Sciences.

Source note: This article includes information reported by Biorxiv.