Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Video

Updated: May 12, 2026

Competitive Genomic Screens of Barcoded Yeast Libraries

Competitive Genomic Screens of Barcoded Yeast Libraries

Published on: August 11, 2011

DNA barcoding: error rates based on comprehensive sampling.

Christopher P Meyer¹, Gustav Paulay

¹Florida Museum of Natural History, University of Florida, Gainesville, Florida, USA. cmeyer@flmnh.ufl.edu

|December 13, 2005

Summary

This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

<b>New species, hosts, and records of <i>Aporobopyrus</i> Nobili, 1906 (Isopoda: Bopyridae: Pseudioninae)</b>.

Zootaxa·2026

Same author

<i>Planes</i> on a Snake? On the Identities of Crab Larvae Rafting on Sea Snakes.

Ecology and evolution·2026

Same author

Beyond Tubipora musica: Phylogenomics unveils the overlooked diversity and endemism of the hermatypic octocoral genus Tubipora.

Molecular phylogenetics and evolution·2026

Same author

Seascape genomics uncovers contrasting population genetic structures in reef corals.

iScience·2026

Same author

Dividing the monopoly: the most broadly distributed Actinopyga is two species (Holothuroidea: Holothuriidae).

Zootaxa·2025

Same author

Spatiotemporal faunal connectivity across global sea floors.

Nature·2025

DNA barcoding shows promise for species identification in well-studied groups, with low error rates. However, it performs poorly for discovering new species in incompletely sampled or diverse groups like cowries.

Area of Science:

Marine Biology
Genomics
Taxonomy

Background:

DNA barcoding is a proposed method for species identification and discovery.
Comprehensive datasets are needed to evaluate DNA barcoding performance.
Cypraeid marine gastropods (cowries) offer a diverse and well-sampled group for study.

Purpose of the Study:

To examine DNA barcoding performance in a comprehensively sampled, diverse marine gastropod group.
To estimate error rates for species identification and species discovery using DNA barcoding.
To evaluate the reliability of DNA barcoding thresholds for species delineation.

Main Methods:

Utilized established methods for testing barcoding performance.
Employed a novel phylogenetic approach to calculate intraspecific variation and interspecific divergence.

More Related Videos

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Published on: August 3, 2018

Comprehensive Spatial Profiling of Species-agnostic Transcriptomes via Stereo-seq

Comprehensive Spatial Profiling of Species-agnostic Transcriptomes via Stereo-seq

Published on: October 31, 2025

Related Experiment Videos

Last Updated: May 12, 2026

Competitive Genomic Screens of Barcoded Yeast Libraries

Competitive Genomic Screens of Barcoded Yeast Libraries

Published on: August 11, 2011

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Rare Event Detection Using Error-corrected DNA and RNA Sequencing

Published on: August 3, 2018

Comprehensive Spatial Profiling of Species-agnostic Transcriptomes via Stereo-seq

Comprehensive Spatial Profiling of Species-agnostic Transcriptomes via Stereo-seq

Published on: October 31, 2025

Estimated error rates for identifying samples against a phylogeny and assisting in species discovery.

Main Results:

Lowest overall error rate for species identification was 4%.
Barcoding performed poorly in incompletely sampled groups, with substantial overlap between intraspecific variation and interspecific divergence.
Error rates for species delineation using thresholds were approximately 17% in cowries, doubling when only traditionally recognized species were analyzed.

Conclusions:

DNA barcoding shows potential for species identification in taxonomically well-understood and thoroughly sampled clades.
The use of thresholds for species delineation is problematic in understudied groups with closely related species.
Realizing the full potential of DNA barcoding requires a strong foundation in taxonomy and comprehensive sampling.