A multidisciplinary approach to identify pelagic shark fins by molecular, morphometric and digital correlation data

Accurate species identification is one of the most important issues to conserve and manage shark fisheries. A multidisciplinary approach involving molecular (using variation at ITS2 sequences), morphometrical and image processing species identification was performed to evaluate their discriminating power with three pelagic shark species common to the coasts of Chile (Prionace glauca Linnaeus 1785, Isurus oxyrinchus Rafinesque 1810, and Lamna nasus (Bonnaterre, 1788). Species-specific DNA markers and multivariate analyses based on twenty morphometrical measurements were used to identify fresh and dry fin sets for each shark species. Additionally, coloring patterns and fin shape were jointly used to distinguish dry fin sets of shark species by using digital invariant correlation (relation target and problem image independent of their changes in position, scale and rotation). Our results showed that morphometrical analysis was the least accurate approach, whereas DNA-based identification and image processing approaches were 100% successful on the identification of shark species. Thus ITS2 sequences and morphological diagnostic characteristics such as the ones related to color patterns, allow the correct identification of shark species. Therefore, the implementation of molecular and/or image tools can be applied to confidently identify the main pelagic shark species involved in Chilean landing and fin trade.

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Main Authors: Hernández,Sebastián, Gallardo-Escárate,Cristian, Álvarez-Borrego,Josué, González,María Teresa, Haye,Pilar A.
Format: Digital revista
Language:English
Published: Universidad Autónoma Metropolitana, División de Ciencias Biológicas y de la Salud 2010
Online Access:http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S0188-88972010000100007
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spelling oai:scielo:S0188-889720100001000072010-10-04A multidisciplinary approach to identify pelagic shark fins by molecular, morphometric and digital correlation dataHernández,SebastiánGallardo-Escárate,CristianÁlvarez-Borrego,JosuéGonzález,María TeresaHaye,Pilar A. Invariant digital correlation molecular markers multivariate analysis pelagic sharks Accurate species identification is one of the most important issues to conserve and manage shark fisheries. A multidisciplinary approach involving molecular (using variation at ITS2 sequences), morphometrical and image processing species identification was performed to evaluate their discriminating power with three pelagic shark species common to the coasts of Chile (Prionace glauca Linnaeus 1785, Isurus oxyrinchus Rafinesque 1810, and Lamna nasus (Bonnaterre, 1788). Species-specific DNA markers and multivariate analyses based on twenty morphometrical measurements were used to identify fresh and dry fin sets for each shark species. Additionally, coloring patterns and fin shape were jointly used to distinguish dry fin sets of shark species by using digital invariant correlation (relation target and problem image independent of their changes in position, scale and rotation). Our results showed that morphometrical analysis was the least accurate approach, whereas DNA-based identification and image processing approaches were 100% successful on the identification of shark species. Thus ITS2 sequences and morphological diagnostic characteristics such as the ones related to color patterns, allow the correct identification of shark species. Therefore, the implementation of molecular and/or image tools can be applied to confidently identify the main pelagic shark species involved in Chilean landing and fin trade.info:eu-repo/semantics/openAccessUniversidad Autónoma Metropolitana, División de Ciencias Biológicas y de la SaludHidrobiológica v.20 n.1 20102010-04-01info:eu-repo/semantics/articletext/htmlhttp://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S0188-88972010000100007en
institution SCIELO
collection OJS
country México
countrycode MX
component Revista
access En linea
databasecode rev-scielo-mx
tag revista
region America del Norte
libraryname SciELO
language English
format Digital
author Hernández,Sebastián
Gallardo-Escárate,Cristian
Álvarez-Borrego,Josué
González,María Teresa
Haye,Pilar A.
spellingShingle Hernández,Sebastián
Gallardo-Escárate,Cristian
Álvarez-Borrego,Josué
González,María Teresa
Haye,Pilar A.
A multidisciplinary approach to identify pelagic shark fins by molecular, morphometric and digital correlation data
author_facet Hernández,Sebastián
Gallardo-Escárate,Cristian
Álvarez-Borrego,Josué
González,María Teresa
Haye,Pilar A.
author_sort Hernández,Sebastián
title A multidisciplinary approach to identify pelagic shark fins by molecular, morphometric and digital correlation data
title_short A multidisciplinary approach to identify pelagic shark fins by molecular, morphometric and digital correlation data
title_full A multidisciplinary approach to identify pelagic shark fins by molecular, morphometric and digital correlation data
title_fullStr A multidisciplinary approach to identify pelagic shark fins by molecular, morphometric and digital correlation data
title_full_unstemmed A multidisciplinary approach to identify pelagic shark fins by molecular, morphometric and digital correlation data
title_sort multidisciplinary approach to identify pelagic shark fins by molecular, morphometric and digital correlation data
description Accurate species identification is one of the most important issues to conserve and manage shark fisheries. A multidisciplinary approach involving molecular (using variation at ITS2 sequences), morphometrical and image processing species identification was performed to evaluate their discriminating power with three pelagic shark species common to the coasts of Chile (Prionace glauca Linnaeus 1785, Isurus oxyrinchus Rafinesque 1810, and Lamna nasus (Bonnaterre, 1788). Species-specific DNA markers and multivariate analyses based on twenty morphometrical measurements were used to identify fresh and dry fin sets for each shark species. Additionally, coloring patterns and fin shape were jointly used to distinguish dry fin sets of shark species by using digital invariant correlation (relation target and problem image independent of their changes in position, scale and rotation). Our results showed that morphometrical analysis was the least accurate approach, whereas DNA-based identification and image processing approaches were 100% successful on the identification of shark species. Thus ITS2 sequences and morphological diagnostic characteristics such as the ones related to color patterns, allow the correct identification of shark species. Therefore, the implementation of molecular and/or image tools can be applied to confidently identify the main pelagic shark species involved in Chilean landing and fin trade.
publisher Universidad Autónoma Metropolitana, División de Ciencias Biológicas y de la Salud
publishDate 2010
url http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S0188-88972010000100007
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