57
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Identifying Fishes through DNA Barcodes and Microarrays

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          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.

          Related collections

          Most cited references29

          • Record: found
          • Abstract: not found
          • Article: not found

          MEGA3: Integrated software for Molecular Evolutionary Genetics Analysis and sequence alignment.

          S. KUMAR (2004)
          With its theoretical basis firmly established in molecular evolutionary and population genetics, the comparative DNA and protein sequence analysis plays a central role in reconstructing the evolutionary histories of species and multigene families, estimating rates of molecular evolution, and inferring the nature and extent of selective forces shaping the evolution of genes and genomes. The scope of these investigations has now expanded greatly owing to the development of high-throughput sequencing techniques and novel statistical and computational methods. These methods require easy-to-use computer programs. One such effort has been to produce Molecular Evolutionary Genetics Analysis (MEGA) software, with its focus on facilitating the exploration and analysis of the DNA and protein sequence variation from an evolutionary perspective. Currently in its third major release, MEGA3 contains facilities for automatic and manual sequence alignment, web-based mining of databases, inference of the phylogenetic trees, estimation of evolutionary distances and testing evolutionary hypotheses. This paper provides an overview of the statistical methods, computational tools, and visual exploration modules for data input and the results obtainable in MEGA.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            A unified view of polymer, dumbbell, and oligonucleotide DNA nearest-neighbor thermodynamics.

            A unified view of polymer, dumbbell, and oligonucleotide nearest-neighbor (NN) thermodynamics is presented. DNA NN DeltaG degrees 37 parameters from seven laboratories are presented in the same format so that careful comparisons can be made. The seven studies used data from natural polymers, synthetic polymers, oligonucleotide dumbbells, and oligonucleotide duplexes to derive NN parameters; used different methods of data analysis; used different salt concentrations; and presented the NN thermodynamics in different formats. As a result of these differences, there has been much confusion regarding the NN thermodynamics of DNA polymers and oligomers. Herein I show that six of the studies are actually in remarkable agreement with one another and explanations are provided in cases where discrepancies remain. Further, a single set of parameters, derived from 108 oligonucleotide duplexes, adequately describes polymer and oligomer thermodynamics. Empirical salt dependencies are also derived for oligonucleotides and polymers.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Mitochondrial pseudogenes: evolution's misplaced witnesses.

              Nuclear copies of mitochondrial DNA (mtDNA) have contaminated PCR-based mitochondrial studies of over 64 different animal species. Since the last review of these nuclear mitochondrial pseudogenes (Numts) in animals, Numts have been found in 53 of the species studied. The recent evidence suggests that Numts are not equally abundant in all species, for example they are more common in plants than in animals, and also more numerous in humans than in Drosophila. Methods for avoiding Numts have now been tested, and several recent studies demonstrate the potential utility of Numt DNA sequences in evolutionary studies. As relics of ancient mtDNA, these pseudogenes can be used to infer ancestral states or root mitochondrial phylogenies. Where they are numerous and selectively unconstrained, Numts are ideal for the study of spontaneous mutation in nuclear genomes.
                Bookmark

                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2010
                7 September 2010
                : 5
                : 9
                : e12620
                Affiliations
                [1 ]Centre for Applied Gene Sensor Technology (CAG), FB2-UFT, University of Bremen, Bremen, Germany
                [2 ]Marine Biology, Free University of Brussels (VUB), Brussels, Belgium
                [3 ]Institute of Marine Biology and Genetics, Hellenic Centre of Marine Research, Heraklion, Crete, Greece
                [4 ]Department of Functional Biology, Universidad de Oviedo, Oviedo, Spain
                [5 ]Department of Experimental Evolutionary Biology, University of Bologna, Bologna, Italy
                [6 ]UMR 5244 CNRS-EPHE-UPVD, Université de Perpignan, Perpignan, France
                [7 ]Prokaria, Matis ohf, Reykjavik, Iceland
                [8 ]Faculty of Life and Environmental Sciences, University of Iceland, Reykjavík, Iceland
                [9 ]Zentrum für Technomathematik (ZeTeM), University of Bremen, Bremen, Germany
                [10 ]Faculty of Fisheries, Mustafa Kemal University, Iskenderun, Hatay, Turkey
                [11 ]College of Fisheries, Mangalore, Karnataka, India
                American Museum of Natural History, United States of America
                Author notes

                Conceived and designed the experiments: MK DB. Performed the experiments: MK CS SKB JH SH GH VM MNV. Analyzed the data: MK CS JH MN HW. Contributed reagents/materials/analysis tools: MK AA DC AC EGV CH SH GH KK ML AM VM MN SP FT CT HW DB. Wrote the paper: MK AA AC SP FT DB.

                [¤a]

                Current address: Institute of Biochemistry, University of Leipzig, Leipzig, Germany

                [¤b]

                Current address: Functional Genome Analysis (B070), German Cancer Research Center (DKFZ), Heidelberg, Germany

                [¤c]

                Current address: University of Southern California (USC), Los Angeles, California, United States of America

                [¤d]

                Current address: Friedrich-Loeffler-Institut, Bundesforschungsinstitut für Tiergesundheit, Institut für Nutztiergenetik, Neustadt, Germany

                [¤e]

                Current address: INRA, Jouy en Josas, France

                [¤f]

                Current address: CBMA (Centre of Molecular and Environmental Biology), Department of Biology, University of Minho, Braga, Portugal

                [¤g]

                Current address: USR 3278 CNRS-EPHE, CRIOBE et CBETM, Moorea, Polynésie Française

                Article
                09-PONE-RA-14103R1
                10.1371/journal.pone.0012620
                2935389
                20838643
                9a142e74-040d-47f9-b9f5-24065e72e17a
                Kochzius et al. 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 credited.
                History
                : 8 November 2009
                : 8 July 2010
                Page count
                Pages: 15
                Categories
                Research Article
                Marine and Aquatic Sciences/Conservation Science
                Marine and Aquatic Sciences/Fisheries
                Marine and Aquatic Sciences/Genetics, Genomics, and Barcoding

                Uncategorized
                Uncategorized

                Comments

                Comment on this article