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

      The Molecular Data Organization for Publication (MDOP) R package to aid the upload of data to shared databases

      Read this article at

      ScienceOpenPublisherPMC
      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

          Molecular identification methods, such as DNA barcoding, rely on centralized databases populated with morphologically identified individuals and their referential nucleotide sequence records. As molecular identification approaches have expanded in use to fields such as food fraud, environmental surveys, and border surveillance, there is a need for diverse international data sets. Although central data repositories, like the Barcode of Life Datasystems (BOLD), provided workarounds for formatting data for upload, these workarounds can be taxing on researchers with few resources and limited funding. To address these concerns, we present the Molecular Data Organization for Publication (MDOP) R package to assist researchers in uploading data to public databases. To illustrate the use of these scripts, we use the BOLD system as an example. The main intent of this writing is to assist in the movement of data, from academic, governmental, and other institutional computer systems, to public locations. The movement of these data can then better contribute to the global DNA barcoding initiative and other global molecular data efforts.

          Related collections

          Most cited references 22

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

          Phylogenetic relationships of Thiomicrospira species and their identification in deep-sea hydrothermal vent samples by denaturing gradient gel electrophoresis of 16S rDNA fragments.

          Denaturing gradient gel electrophoresis (DGGE) of PCR-amplified 16S rDNA fragments was used to explore the genetic diversity of hydrothermal vent microbial communities, specifically to determine the importance of sulfur-oxidizing bacteria therein. DGGE analysis of two different hydrothermal vent samples revealed one PCR band for one sample and three PCR bands for the other sample, which probably correspond to the dominant bacterial populations in these communities. Three of the four 16S rDNA fragments were sequenced. By comparison with 16S rRNA sequences of the Ribosomal Database Project, two of the DGGE-separated fragments were assigned to the genus Thiomicrospira. To identify these 'phylotypes' in more detail, a phylogenetic framework was created by determining the nearly complete 16S rRNA gene sequence (approx. 1500 nucleotides) from three described Thiomicrospira species, viz., Tms. crunogena, Tms. pelophila, Tms. denitrificans, and from a new isolate, Thiomicrospira sp. strain MA2-6. All Thiomicrospira species except Tms. denitrificans formed a monophyletic group within the gamma subdivision of the Proteobacteria. Tms. denitrificans was assigned as a member of the epsilon subdivision and was distantly affiliated with Thiovulum, another sulfur-oxidizing bacterium. Sequences of two dominant 16S rDNA fragments obtained by DGGE analysis fell into the gamma subdivision Thiomicrospira. The sequence of one fragment was in all comparable positions identical to the 16S rRNA sequence of Tms. crunogena. Identifying a dominant molecular isolate as Tms. crunogena indicates that this species is a dominant community member of hydrothermal vent sites. Another 'phylotype' represented a new Thiomicrospira species, phylogenetically in an intermediate position between Tms. crunogena and Tms. pelophila. The third 'phylotype' was identified as a Desulfovibrio, indicating that sulfate-reducing bacteria, as sources of sulfide, may complement sulfur- and sulfide-oxidizing bacteria ecologically in these sulfide-producing hydrothermal vents.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Spider: an R package for the analysis of species identity and evolution, with particular reference to DNA barcoding.

            Spider: SPecies IDentity and Evolution in R is a new R package implementing a number of useful analyses for DNA barcoding studies and associated research into species delimitation and speciation. Included are functions essential for generating important summary statistics from DNA barcode data, assessing specimen identification efficacy, and for testing and optimizing divergence threshold limits. In terms of investigating evolutionary and taxonomic questions, techniques for assessing diagnostic nucleotides and probability of reciprocal monophyly are also provided. Additionally, a sliding window function offers opportunities to analyse information across a gene, essential for marker design in degraded DNA studies. Spider capitalizes on R's extensible ethos and offers an integrated platform ideal for the analysis of both nucleotide and morphological data. The program can be obtained from the comprehensive R archive network (CRAN, http://cran.r-project.org) and from the R-Forge package development site (http://spider.r-forge.r-project.org/). © 2012 Blackwell Publishing Ltd.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              DNA barcoding detects market substitution in North American seafood

                Bookmark

                Author and article information

                Contributors
                Journal
                Biodivers Data J
                Biodivers Data J
                1
                urn:lsid:arphahub.com:pub:F9B2E808-C883-5F47-B276-6D62129E4FF4
                urn:lsid:zoobank.org:pub:245B00E9-BFE5-4B4F-B76E-15C30BA74C02
                Biodiversity Data Journal
                Pensoft Publishers
                1314-2836
                1314-2828
                2020
                23 April 2020
                : 8
                Affiliations
                [1 ] University of Guelph, Guelph, Canada University of Guelph Guelph Canada
                [2 ] Canadian Food Inspection Agency, Ottawa, Canada Canadian Food Inspection Agency Ottawa Canada
                Author notes
                Corresponding author: Robert G Young ( ryoung04@ 123456uoguelph.ca ).

                Academic editor: Scott Chamberlain

                Article
                50630 13272
                10.3897/BDJ.8.e50630
                7192956
                Robert G Young, Jiaojia Yu, Marie-José Cote, Robert H Hanner

                This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                Page count
                Figures: 0, Tables: 0, References: 28
                Categories
                Short Communication

                Comments

                Comment on this article