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Multilocus DNA barcoding – Species Identification with Multilocus Data
Species identification using DNA sequences, known as DNA barcoding has been widely used in many applied fields. Current barcoding methods are usually based on a single mitochondrial locus, such as cytochrome c oxidase subunit I (COI). This type of barcoding method does not always work when applied t...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5709489/ https://www.ncbi.nlm.nih.gov/pubmed/29192249 http://dx.doi.org/10.1038/s41598-017-16920-2 |
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author | Liu, Junning Jiang, Jiamei Song, Shuli Tornabene, Luke Chabarria, Ryan Naylor, Gavin J. P. Li, Chenhong |
author_facet | Liu, Junning Jiang, Jiamei Song, Shuli Tornabene, Luke Chabarria, Ryan Naylor, Gavin J. P. Li, Chenhong |
author_sort | Liu, Junning |
collection | PubMed |
description | Species identification using DNA sequences, known as DNA barcoding has been widely used in many applied fields. Current barcoding methods are usually based on a single mitochondrial locus, such as cytochrome c oxidase subunit I (COI). This type of barcoding method does not always work when applied to species separated by short divergence times or that contain introgressed genes from closely related species. Herein we introduce a more effective multi-locus barcoding framework that is based on gene capture and “next-generation” sequencing. We selected 500 independent nuclear markers for ray-finned fishes and designed a three-step pipeline for multilocus DNA barcoding. We applied our method on two exemplar datasets each containing a pair of sister fish species: Siniperca chuatsi vs. Sini. kneri and Sicydium altum vs. Sicy. adelum, where the COI barcoding approach failed. Both of our empirical and simulated results demonstrated that under limited gene flow and enough separation time, we could correctly identify species using multilocus barcoding method. We anticipate that, as the cost of DNA sequencing continues to fall that our multilocus barcoding approach will eclipse existing single-locus DNA barcoding methods as a means to better understand the diversity of the living world. |
format | Online Article Text |
id | pubmed-5709489 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-57094892017-12-06 Multilocus DNA barcoding – Species Identification with Multilocus Data Liu, Junning Jiang, Jiamei Song, Shuli Tornabene, Luke Chabarria, Ryan Naylor, Gavin J. P. Li, Chenhong Sci Rep Article Species identification using DNA sequences, known as DNA barcoding has been widely used in many applied fields. Current barcoding methods are usually based on a single mitochondrial locus, such as cytochrome c oxidase subunit I (COI). This type of barcoding method does not always work when applied to species separated by short divergence times or that contain introgressed genes from closely related species. Herein we introduce a more effective multi-locus barcoding framework that is based on gene capture and “next-generation” sequencing. We selected 500 independent nuclear markers for ray-finned fishes and designed a three-step pipeline for multilocus DNA barcoding. We applied our method on two exemplar datasets each containing a pair of sister fish species: Siniperca chuatsi vs. Sini. kneri and Sicydium altum vs. Sicy. adelum, where the COI barcoding approach failed. Both of our empirical and simulated results demonstrated that under limited gene flow and enough separation time, we could correctly identify species using multilocus barcoding method. We anticipate that, as the cost of DNA sequencing continues to fall that our multilocus barcoding approach will eclipse existing single-locus DNA barcoding methods as a means to better understand the diversity of the living world. Nature Publishing Group UK 2017-11-30 /pmc/articles/PMC5709489/ /pubmed/29192249 http://dx.doi.org/10.1038/s41598-017-16920-2 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Liu, Junning Jiang, Jiamei Song, Shuli Tornabene, Luke Chabarria, Ryan Naylor, Gavin J. P. Li, Chenhong Multilocus DNA barcoding – Species Identification with Multilocus Data |
title | Multilocus DNA barcoding – Species Identification with Multilocus Data |
title_full | Multilocus DNA barcoding – Species Identification with Multilocus Data |
title_fullStr | Multilocus DNA barcoding – Species Identification with Multilocus Data |
title_full_unstemmed | Multilocus DNA barcoding – Species Identification with Multilocus Data |
title_short | Multilocus DNA barcoding – Species Identification with Multilocus Data |
title_sort | multilocus dna barcoding – species identification with multilocus data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5709489/ https://www.ncbi.nlm.nih.gov/pubmed/29192249 http://dx.doi.org/10.1038/s41598-017-16920-2 |
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