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DNA barcode-based delineation of putative species: efficient start for taxonomic workflows
The analysis of DNA barcode sequences with varying techniques for cluster recognition provides an efficient approach for recognizing putative species (operational taxonomic units, OTUs). This approach accelerates and improves taxonomic workflows by exposing cryptic species and decreasing the risk of...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BlackWell Publishing Ltd
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4264940/ https://www.ncbi.nlm.nih.gov/pubmed/24479435 http://dx.doi.org/10.1111/1755-0998.12233 |
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author | Kekkonen, Mari Hebert, Paul D N |
author_facet | Kekkonen, Mari Hebert, Paul D N |
author_sort | Kekkonen, Mari |
collection | PubMed |
description | The analysis of DNA barcode sequences with varying techniques for cluster recognition provides an efficient approach for recognizing putative species (operational taxonomic units, OTUs). This approach accelerates and improves taxonomic workflows by exposing cryptic species and decreasing the risk of synonymy. This study tested the congruence of OTUs resulting from the application of three analytical methods (ABGD, BIN, GMYC) to sequence data for Australian hypertrophine moths. OTUs supported by all three approaches were viewed as robust, but 20% of the OTUs were only recognized by one or two of the methods. These OTUs were examined for three criteria to clarify their status. Monophyly and diagnostic nucleotides were both uninformative, but information on ranges was useful as sympatric sister OTUs were viewed as distinct, while allopatric OTUs were merged. This approach revealed 124 OTUs of Hypertrophinae, a more than twofold increase from the currently recognized 51 species. Because this analytical protocol is both fast and repeatable, it provides a valuable tool for establishing a basic understanding of species boundaries that can be validated with subsequent studies. |
format | Online Article Text |
id | pubmed-4264940 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BlackWell Publishing Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-42649402014-12-19 DNA barcode-based delineation of putative species: efficient start for taxonomic workflows Kekkonen, Mari Hebert, Paul D N Mol Ecol Resour Resource Articles The analysis of DNA barcode sequences with varying techniques for cluster recognition provides an efficient approach for recognizing putative species (operational taxonomic units, OTUs). This approach accelerates and improves taxonomic workflows by exposing cryptic species and decreasing the risk of synonymy. This study tested the congruence of OTUs resulting from the application of three analytical methods (ABGD, BIN, GMYC) to sequence data for Australian hypertrophine moths. OTUs supported by all three approaches were viewed as robust, but 20% of the OTUs were only recognized by one or two of the methods. These OTUs were examined for three criteria to clarify their status. Monophyly and diagnostic nucleotides were both uninformative, but information on ranges was useful as sympatric sister OTUs were viewed as distinct, while allopatric OTUs were merged. This approach revealed 124 OTUs of Hypertrophinae, a more than twofold increase from the currently recognized 51 species. Because this analytical protocol is both fast and repeatable, it provides a valuable tool for establishing a basic understanding of species boundaries that can be validated with subsequent studies. BlackWell Publishing Ltd 2014-07 2014-03-10 /pmc/articles/PMC4264940/ /pubmed/24479435 http://dx.doi.org/10.1111/1755-0998.12233 Text en © 2014 The Authors. Molecular Ecology Resources Published by John Wiley & Sons Ltd. http://creativecommons.org/licenses/by/3.0/ This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Resource Articles Kekkonen, Mari Hebert, Paul D N DNA barcode-based delineation of putative species: efficient start for taxonomic workflows |
title | DNA barcode-based delineation of putative species: efficient start for taxonomic workflows |
title_full | DNA barcode-based delineation of putative species: efficient start for taxonomic workflows |
title_fullStr | DNA barcode-based delineation of putative species: efficient start for taxonomic workflows |
title_full_unstemmed | DNA barcode-based delineation of putative species: efficient start for taxonomic workflows |
title_short | DNA barcode-based delineation of putative species: efficient start for taxonomic workflows |
title_sort | dna barcode-based delineation of putative species: efficient start for taxonomic workflows |
topic | Resource Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4264940/ https://www.ncbi.nlm.nih.gov/pubmed/24479435 http://dx.doi.org/10.1111/1755-0998.12233 |
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