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Identifying Fishes through DNA Barcodes and Microarrays
BACKGROUND: International fish trade reached an import value of 62.8 billion Euro in 2006, of which 44.6% are covered by the European Union. Species identification is a key problem throughout the life cycle of fishes: from eggs and larvae to adults in fisheries research and control, as well as proce...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2935389/ https://www.ncbi.nlm.nih.gov/pubmed/20838643 http://dx.doi.org/10.1371/journal.pone.0012620 |
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author | Kochzius, Marc Seidel, Christian Antoniou, Aglaia Botla, Sandeep Kumar Campo, Daniel Cariani, Alessia Vazquez, Eva Garcia Hauschild, Janet Hervet, Caroline Hjörleifsdottir, Sigridur Hreggvidsson, Gudmundur Kappel, Kristina Landi, Monica Magoulas, Antonios Marteinsson, Viggo Nölte, Manfred Planes, Serge Tinti, Fausto Turan, Cemal Venugopal, Moleyur N. Weber, Hannes Blohm, Dietmar |
author_facet | Kochzius, Marc Seidel, Christian Antoniou, Aglaia Botla, Sandeep Kumar Campo, Daniel Cariani, Alessia Vazquez, Eva Garcia Hauschild, Janet Hervet, Caroline Hjörleifsdottir, Sigridur Hreggvidsson, Gudmundur Kappel, Kristina Landi, Monica Magoulas, Antonios Marteinsson, Viggo Nölte, Manfred Planes, Serge Tinti, Fausto Turan, Cemal Venugopal, Moleyur N. Weber, Hannes Blohm, Dietmar |
author_sort | Kochzius, Marc |
collection | PubMed |
description | BACKGROUND: International fish trade reached an import value of 62.8 billion Euro in 2006, of which 44.6% are covered by the European Union. Species identification is a key problem throughout the life cycle of fishes: from eggs and larvae to adults in fisheries research and control, as well as processed fish products in consumer protection. METHODOLOGY/PRINCIPAL FINDINGS: This study aims to evaluate the applicability of the three mitochondrial genes 16S rRNA (16S), cytochrome b (cyt b), and cytochrome oxidase subunit I (COI) for the identification of 50 European marine fish species by combining techniques of “DNA barcoding” and microarrays. In a DNA barcoding approach, neighbour Joining (NJ) phylogenetic trees of 369 16S, 212 cyt b, and 447 COI sequences indicated that cyt b and COI are suitable for unambiguous identification, whereas 16S failed to discriminate closely related flatfish and gurnard species. In course of probe design for DNA microarray development, each of the markers yielded a high number of potentially species-specific probes in silico, although many of them were rejected based on microarray hybridisation experiments. None of the markers provided probes to discriminate the sibling flatfish and gurnard species. However, since 16S-probes were less negatively influenced by the “position of label” effect and showed the lowest rejection rate and the highest mean signal intensity, 16S is more suitable for DNA microarray probe design than cty b and COI. The large portion of rejected COI-probes after hybridisation experiments (>90%) renders the DNA barcoding marker as rather unsuitable for this high-throughput technology. CONCLUSIONS/SIGNIFICANCE: Based on these data, a DNA microarray containing 64 functional oligonucleotide probes for the identification of 30 out of the 50 fish species investigated was developed. It represents the next step towards an automated and easy-to-handle method to identify fish, ichthyoplankton, and fish products. |
format | Text |
id | pubmed-2935389 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-29353892010-09-13 Identifying Fishes through DNA Barcodes and Microarrays Kochzius, Marc Seidel, Christian Antoniou, Aglaia Botla, Sandeep Kumar Campo, Daniel Cariani, Alessia Vazquez, Eva Garcia Hauschild, Janet Hervet, Caroline Hjörleifsdottir, Sigridur Hreggvidsson, Gudmundur Kappel, Kristina Landi, Monica Magoulas, Antonios Marteinsson, Viggo Nölte, Manfred Planes, Serge Tinti, Fausto Turan, Cemal Venugopal, Moleyur N. Weber, Hannes Blohm, Dietmar PLoS One Research Article BACKGROUND: International fish trade reached an import value of 62.8 billion Euro in 2006, of which 44.6% are covered by the European Union. Species identification is a key problem throughout the life cycle of fishes: from eggs and larvae to adults in fisheries research and control, as well as processed fish products in consumer protection. METHODOLOGY/PRINCIPAL FINDINGS: This study aims to evaluate the applicability of the three mitochondrial genes 16S rRNA (16S), cytochrome b (cyt b), and cytochrome oxidase subunit I (COI) for the identification of 50 European marine fish species by combining techniques of “DNA barcoding” and microarrays. In a DNA barcoding approach, neighbour Joining (NJ) phylogenetic trees of 369 16S, 212 cyt b, and 447 COI sequences indicated that cyt b and COI are suitable for unambiguous identification, whereas 16S failed to discriminate closely related flatfish and gurnard species. In course of probe design for DNA microarray development, each of the markers yielded a high number of potentially species-specific probes in silico, although many of them were rejected based on microarray hybridisation experiments. None of the markers provided probes to discriminate the sibling flatfish and gurnard species. However, since 16S-probes were less negatively influenced by the “position of label” effect and showed the lowest rejection rate and the highest mean signal intensity, 16S is more suitable for DNA microarray probe design than cty b and COI. The large portion of rejected COI-probes after hybridisation experiments (>90%) renders the DNA barcoding marker as rather unsuitable for this high-throughput technology. CONCLUSIONS/SIGNIFICANCE: Based on these data, a DNA microarray containing 64 functional oligonucleotide probes for the identification of 30 out of the 50 fish species investigated was developed. It represents the next step towards an automated and easy-to-handle method to identify fish, ichthyoplankton, and fish products. Public Library of Science 2010-09-07 /pmc/articles/PMC2935389/ /pubmed/20838643 http://dx.doi.org/10.1371/journal.pone.0012620 Text en Kochzius et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Kochzius, Marc Seidel, Christian Antoniou, Aglaia Botla, Sandeep Kumar Campo, Daniel Cariani, Alessia Vazquez, Eva Garcia Hauschild, Janet Hervet, Caroline Hjörleifsdottir, Sigridur Hreggvidsson, Gudmundur Kappel, Kristina Landi, Monica Magoulas, Antonios Marteinsson, Viggo Nölte, Manfred Planes, Serge Tinti, Fausto Turan, Cemal Venugopal, Moleyur N. Weber, Hannes Blohm, Dietmar Identifying Fishes through DNA Barcodes and Microarrays |
title | Identifying Fishes through DNA Barcodes and Microarrays |
title_full | Identifying Fishes through DNA Barcodes and Microarrays |
title_fullStr | Identifying Fishes through DNA Barcodes and Microarrays |
title_full_unstemmed | Identifying Fishes through DNA Barcodes and Microarrays |
title_short | Identifying Fishes through DNA Barcodes and Microarrays |
title_sort | identifying fishes through dna barcodes and microarrays |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2935389/ https://www.ncbi.nlm.nih.gov/pubmed/20838643 http://dx.doi.org/10.1371/journal.pone.0012620 |
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