jMOTU and Taxonerator: turning DNA Barcode sequences into annotated operational taxonomic units.

BACKGROUND: DNA barcoding and other DNA sequence-based techniques for investigating and estimating biodiversity require explicit methods for associating individual sequences with taxa, as it is at the taxon level that biodiversity is assessed. For many projects, the bioinformatic analyses required p...

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Main Authors: Martin Jones, Anisah Ghoorah, Mark Blaxter
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2011-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3081837?pdf=render
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spelling doaj-97c3b67f67894a6e9be9222d68b1d8c62020-11-25T02:27:09ZengPublic Library of Science (PLoS)PLoS ONE1932-62032011-01-0164e1925910.1371/journal.pone.0019259jMOTU and Taxonerator: turning DNA Barcode sequences into annotated operational taxonomic units.Martin JonesAnisah GhoorahMark BlaxterBACKGROUND: DNA barcoding and other DNA sequence-based techniques for investigating and estimating biodiversity require explicit methods for associating individual sequences with taxa, as it is at the taxon level that biodiversity is assessed. For many projects, the bioinformatic analyses required pose problems for laboratories whose prime expertise is not in bioinformatics. User-friendly tools are required for both clustering sequences into molecular operational taxonomic units (MOTU) and for associating these MOTU with known organismal taxonomies. RESULTS: Here we present jMOTU, a Java program for the analysis of DNA barcode datasets that uses an explicit, determinate algorithm to define MOTU. We demonstrate its usefulness for both individual specimen-based Sanger sequencing surveys and bulk-environment metagenetic surveys using long-read next-generation sequencing data. jMOTU is driven through a graphical user interface, and can analyse tens of thousands of sequences in a short time on a desktop computer. A companion program, Taxonerator, that adds traditional taxonomic annotation to MOTU, is also presented. Clustering and taxonomic annotation data are stored in a relational database, and are thus amenable to subsequent data mining and web presentation. CONCLUSIONS: jMOTU efficiently and robustly identifies the molecular taxa present in survey datasets, and Taxonerator decorates the MOTU with putative identifications. jMOTU and Taxonerator are freely available from http://www.nematodes.org/.http://europepmc.org/articles/PMC3081837?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Martin Jones
Anisah Ghoorah
Mark Blaxter
spellingShingle Martin Jones
Anisah Ghoorah
Mark Blaxter
jMOTU and Taxonerator: turning DNA Barcode sequences into annotated operational taxonomic units.
PLoS ONE
author_facet Martin Jones
Anisah Ghoorah
Mark Blaxter
author_sort Martin Jones
title jMOTU and Taxonerator: turning DNA Barcode sequences into annotated operational taxonomic units.
title_short jMOTU and Taxonerator: turning DNA Barcode sequences into annotated operational taxonomic units.
title_full jMOTU and Taxonerator: turning DNA Barcode sequences into annotated operational taxonomic units.
title_fullStr jMOTU and Taxonerator: turning DNA Barcode sequences into annotated operational taxonomic units.
title_full_unstemmed jMOTU and Taxonerator: turning DNA Barcode sequences into annotated operational taxonomic units.
title_sort jmotu and taxonerator: turning dna barcode sequences into annotated operational taxonomic units.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2011-01-01
description BACKGROUND: DNA barcoding and other DNA sequence-based techniques for investigating and estimating biodiversity require explicit methods for associating individual sequences with taxa, as it is at the taxon level that biodiversity is assessed. For many projects, the bioinformatic analyses required pose problems for laboratories whose prime expertise is not in bioinformatics. User-friendly tools are required for both clustering sequences into molecular operational taxonomic units (MOTU) and for associating these MOTU with known organismal taxonomies. RESULTS: Here we present jMOTU, a Java program for the analysis of DNA barcode datasets that uses an explicit, determinate algorithm to define MOTU. We demonstrate its usefulness for both individual specimen-based Sanger sequencing surveys and bulk-environment metagenetic surveys using long-read next-generation sequencing data. jMOTU is driven through a graphical user interface, and can analyse tens of thousands of sequences in a short time on a desktop computer. A companion program, Taxonerator, that adds traditional taxonomic annotation to MOTU, is also presented. Clustering and taxonomic annotation data are stored in a relational database, and are thus amenable to subsequent data mining and web presentation. CONCLUSIONS: jMOTU efficiently and robustly identifies the molecular taxa present in survey datasets, and Taxonerator decorates the MOTU with putative identifications. jMOTU and Taxonerator are freely available from http://www.nematodes.org/.
url http://europepmc.org/articles/PMC3081837?pdf=render
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