Related Experiment Video
Updated: Aug 5, 2026

10:27
Long-Read Plasmid Sequencing and Assembly Using Nanopore Sequencing-Based Workflows
Published on: July 7, 2026
Long-Read Plasmid Sequencing and Assembly Using Nanopore Sequencing-Based Workflows
Gerardo Cortés-Cortés1, Caison Warner1, Juliet Ellenbach1
1Department of Microbiology and Environmental Toxicology, University of California Santa Cruz.
Journal of Visualized Experiments : Jove
|July 27, 2026
Summary
This study presents a nanopore sequencing workflow to enhance plasmid DNA yield and accuracy. The optimized protocol efficiently sequences plasmids from various sources, even with high contamination.
Area of Science:
- Genomics
- Molecular Biology
- Bioinformatics
Background:
- Plasmid DNA sequencing is crucial for various applications, including genetic engineering and pathogen surveillance.
- Existing methods can be limited by DNA yield, accuracy, and efficiency, especially with complex samples.
Purpose of the Study:
- To develop and validate a comprehensive nanopore sequencing workflow for maximizing plasmid DNA yield and accuracy.
- To provide detailed protocols for each step, from DNA extraction to sequence assembly.
- To assess the workflow's performance across different plasmid sizes and contamination levels.
Main Methods:
- Plasmid DNA extraction and purification.
- Library preparation using rapid barcoding and adapter ligation.
- Nanopore sequencing on flow cells.
- Real-time or post-hoc base calling and sequence assembly using Autocycler.
- Conjugation experiments to control for host strain variability.
Main Results:
- The workflow successfully produced accurate plasmid assemblies, matching gel-based size estimations and closely aligning with short-read polished assemblies.
- Achieved high accuracy (within 0.05% pairwise sequence identity) for 2/3 of sequenced plasmids.
- Demonstrated robustness for plasmids ranging from 4 to 174 kb, tolerating up to 72% chromosomal contamination.
- Enabled parallel sequencing of up to 24 samples with optimal coverage.
Conclusions:
- The described nanopore sequencing workflow is efficient and accurate for plasmid DNA analysis.
- It is suitable for plasmid sequence verification, improving whole-genome sequencing (WGS) data, and sequencing plasmids captured via conjugation.
- The protocol is adaptable for organisms like Escherichia coli, commonly used in recombinant gene expression and plasmid capture.
Related Concept Videos
Genome Annotation and Assembly
The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
RNA-seq
RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases.
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while microarray-based...
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while microarray-based...
Next-generation Sequencing
The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features.

