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DNA-based Fish Species Identification Protocol
Published on: April 28, 2010
The campaign to DNA barcode all fishes, FISH-BOL
R D Ward1, R Hanner, P D N Hebert
1CSIRO Wealth from Oceans Flagship, CSIRO Marine and Atmospheric Research, GPO Box 1538, Hobart, Tasmania 7001, Australia. bob.ward@csiro.au
Journal of Fish Biology
|August 26, 2010
Summary
The Fish Barcode of Life (FISH-BOL) campaign creates a DNA reference library for fish identification. DNA barcoding effectively distinguishes fish species, aiding in discovering new species and monitoring populations.
Area of Science:
- * Marine biology and ichthyology
- * Molecular ecology and genomics
- * Biodiversity informatics
Background:
- * The Fish Barcode of Life (FISH-BOL) is an international initiative to build a comprehensive DNA reference library for all fish species.
- * DNA barcoding uses a standardized gene region (COI) to identify species.
- * Over 5000 fish species have been barcoded, with multiple specimens per species.
Purpose of the Study:
- * To establish a standardized DNA sequence library for fish identification.
- * To assess the utility of DNA barcoding for distinguishing fish species.
- * To address potential challenges and concerns regarding fish barcoding.
Main Methods:
- * Targeting a 648 base pair region of the mitochondrial cytochrome c oxidase I (COI) gene for analysis.
- * DNA barcoding of over 5000 fish species with an average of five specimens per species.
- * Utilizing the Barcode of Life Data System (BOLD) for sequence matching and analysis.
Main Results:
- * DNA barcodes successfully differentiate approximately 98% of marine and 93% of freshwater fish species.
- * Integrative taxonomic analysis confirmed several divergent barcodes as new species.
- * Issues like hybridization and regional variation have minimal impact on most identifications.
Conclusions:
- * DNA barcoding is a powerful tool for fish species identification, discovery, and monitoring.
- * FISH-BOL is creating a valuable resource for ichthyology and conservation.
- * The method is robust and applicable even when traditional identification methods fail.

