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DNA barcoding a unique avifauna: an important tool for evolution, systematics and conservation
BACKGROUND: DNA barcoding utilises a standardised region of the cytochrome c oxidase I (COI) gene to identify specimens to the species level. It has proven to be an effective tool for identification of avian samples. The unique island avifauna of New Zealand is taxonomically and evolutionarily disti...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6369544/ https://www.ncbi.nlm.nih.gov/pubmed/30744573 http://dx.doi.org/10.1186/s12862-019-1346-y |
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author | Tizard, Jacqueline Patel, Selina Waugh, John Tavares, Erika Bergmann, Tjard Gill, Brian Norman, Janette Christidis, Les Scofield, Paul Haddrath, Oliver Baker, Allan Lambert, David Millar, Craig |
author_facet | Tizard, Jacqueline Patel, Selina Waugh, John Tavares, Erika Bergmann, Tjard Gill, Brian Norman, Janette Christidis, Les Scofield, Paul Haddrath, Oliver Baker, Allan Lambert, David Millar, Craig |
author_sort | Tizard, Jacqueline |
collection | PubMed |
description | BACKGROUND: DNA barcoding utilises a standardised region of the cytochrome c oxidase I (COI) gene to identify specimens to the species level. It has proven to be an effective tool for identification of avian samples. The unique island avifauna of New Zealand is taxonomically and evolutionarily distinct. We analysed COI sequence data in order to determine if DNA barcoding could accurately identify New Zealand birds. RESULTS: We sequenced 928 specimens from 180 species. Additional Genbank sequences expanded the dataset to 1416 sequences from 211 of the estimated 236 New Zealand species. Furthermore, to improve the assessment of genetic variation in non-endemic species, and to assess the overall accuracy of our approach, sequences from 404 specimens collected outside of New Zealand were also included in our analyses. Of the 191 species represented by multiple sequences, 88.5% could be successfully identified by their DNA barcodes. This is likely a conservative estimate of the power of DNA barcoding in New Zealand, given our extensive geographic sampling. The majority of the 13 groups that could not be distinguished contain recently diverged taxa, indicating incomplete lineage sorting and in some cases hybridisation. In contrast, 16 species showed evidence of distinct intra-species lineages, some of these corresponding to recognised subspecies. For species identification purposes a character-based method was more successful than distance and phylogenetic tree-based methods. CONCLUSIONS: DNA barcodes accurately identify most New Zealand bird species. However, low levels of COI sequence divergence in some recently diverged taxa limit the identification power of DNA barcoding. A small number of currently recognised species would benefit from further systematic investigations. The reference database and analysis presented will provide valuable insights into the evolution, systematics and conservation of New Zealand birds. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12862-019-1346-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6369544 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63695442019-02-21 DNA barcoding a unique avifauna: an important tool for evolution, systematics and conservation Tizard, Jacqueline Patel, Selina Waugh, John Tavares, Erika Bergmann, Tjard Gill, Brian Norman, Janette Christidis, Les Scofield, Paul Haddrath, Oliver Baker, Allan Lambert, David Millar, Craig BMC Evol Biol Research Article BACKGROUND: DNA barcoding utilises a standardised region of the cytochrome c oxidase I (COI) gene to identify specimens to the species level. It has proven to be an effective tool for identification of avian samples. The unique island avifauna of New Zealand is taxonomically and evolutionarily distinct. We analysed COI sequence data in order to determine if DNA barcoding could accurately identify New Zealand birds. RESULTS: We sequenced 928 specimens from 180 species. Additional Genbank sequences expanded the dataset to 1416 sequences from 211 of the estimated 236 New Zealand species. Furthermore, to improve the assessment of genetic variation in non-endemic species, and to assess the overall accuracy of our approach, sequences from 404 specimens collected outside of New Zealand were also included in our analyses. Of the 191 species represented by multiple sequences, 88.5% could be successfully identified by their DNA barcodes. This is likely a conservative estimate of the power of DNA barcoding in New Zealand, given our extensive geographic sampling. The majority of the 13 groups that could not be distinguished contain recently diverged taxa, indicating incomplete lineage sorting and in some cases hybridisation. In contrast, 16 species showed evidence of distinct intra-species lineages, some of these corresponding to recognised subspecies. For species identification purposes a character-based method was more successful than distance and phylogenetic tree-based methods. CONCLUSIONS: DNA barcodes accurately identify most New Zealand bird species. However, low levels of COI sequence divergence in some recently diverged taxa limit the identification power of DNA barcoding. A small number of currently recognised species would benefit from further systematic investigations. The reference database and analysis presented will provide valuable insights into the evolution, systematics and conservation of New Zealand birds. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12862-019-1346-y) contains supplementary material, which is available to authorized users. BioMed Central 2019-02-11 /pmc/articles/PMC6369544/ /pubmed/30744573 http://dx.doi.org/10.1186/s12862-019-1346-y Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Tizard, Jacqueline Patel, Selina Waugh, John Tavares, Erika Bergmann, Tjard Gill, Brian Norman, Janette Christidis, Les Scofield, Paul Haddrath, Oliver Baker, Allan Lambert, David Millar, Craig DNA barcoding a unique avifauna: an important tool for evolution, systematics and conservation |
title | DNA barcoding a unique avifauna: an important tool for evolution, systematics and conservation |
title_full | DNA barcoding a unique avifauna: an important tool for evolution, systematics and conservation |
title_fullStr | DNA barcoding a unique avifauna: an important tool for evolution, systematics and conservation |
title_full_unstemmed | DNA barcoding a unique avifauna: an important tool for evolution, systematics and conservation |
title_short | DNA barcoding a unique avifauna: an important tool for evolution, systematics and conservation |
title_sort | dna barcoding a unique avifauna: an important tool for evolution, systematics and conservation |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6369544/ https://www.ncbi.nlm.nih.gov/pubmed/30744573 http://dx.doi.org/10.1186/s12862-019-1346-y |
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