Related Experiment Video
Updated: Jul 5, 2025

10:24
Next-generation Sequencing of 16S Ribosomal RNA Gene Amplicons
Published on: August 29, 2014
83.5K
Express barcoding with NextGenPCR and MinION for species-level sorting of ecological samples
Cristina Vasilita1, Vivian Feng2,3, Aslak Kappel Hansen2
1Stuttgart State Museum of Natural History, Stuttgart, Germany.
Molecular Ecology Resources
|January 19, 2024
Summary
A new, cost-effective DNA barcoding workflow enables rapid species identification in field settings. This simplified method is faster and more accurate than traditional sorting, making it ideal for biodiversity discovery and pest identification.
Area of Science:
- Molecular Biology
- Biodiversity Science
- Bioinformatics
Background:
- DNA barcoding is crucial for specimen identification and biodiversity discovery.
- Current methods are often too costly or require specialized labs for time-sensitive applications.
- Underutilization persists in fields like citizen science, pest identification, and food authentication.
Purpose of the Study:
- To present a simplified, rapid, and cost-effective DNA barcoding workflow.
- To demonstrate its utility for time-sensitive species identification and discovery.
- To enable broader application of DNA barcoding in diverse research and applied settings.
Main Methods:
- Combined rapid DNA extraction (HotSHOT) with NextGenPCR thermocyclers for amplicon production.
- Utilized low-cost MinION sequencers for DNA sequencing.
- Integrated BLAST for specimen identification within the workflow.
Main Results:
- Successfully generated 250 DNA barcodes for 285 specimens within 6 hours.
- The workflow requires minimal, benchtop-compatible equipment (Thermocycler, NextGenPCR, Qubit, MinION).
- Achieved rapid and accurate species-level sorting.
Conclusions:
- This simplified workflow offers a faster, more accurate, and cost-effective alternative to traditional morpho-species sorting.
- It democratizes DNA barcoding for applications previously limited by cost and equipment.
- Facilitates rapid species discovery and identification in diverse, field-based scenarios.

