Evidence map›Paper›PMID 30744573›Full record

ArticleBMC evolutionary biology2019

DNA barcoding a unique avifauna: an important tool for evolution, systematics and conservation.

Jacqueline Tizard, Selina Patel, John Waugh, Erika Tavares, Tjard Bergmann, Brian Gill, Janette Norman, Les Christidis, Paul Scofield, Oliver Haddrath and 3 more

Abstract read
In one paragraph

Article in BMC evolutionary biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. High species discrimination inPlant diversity · 2025
    Article
  2. CAOS-R: Character-Based Barcoding.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Jacqueline TizardSchool of Biological Sciences, University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand.
Selina PatelSchool of Biological Sciences, University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand.
John WaughUnitec Institute of Technology, Auckland, New Zealand.
Erika TavaresDepartment of Natural History, Royal Ontario Museum, 100 Queen's Park, Toronto, Ontario, M5S 2C6, Canada.
Tjard BergmannInstitute for Animal Ecology and Cell Biology, University of Veterinary Medicine Hannover Foundation, Bünteweg 17d, D-30559, Hannover, Germany.
Brian GillAssociate Emeritus, Auckland War Memorial Museum, Private Bag 92018, Auckland, 1142, New Zealand.
Janette NormanMolecular Biology Sciences Department, Museum Victoria, GPO Box 666, Melbourne, Victoria, 3001, Australia.
Les ChristidisNational Marine Science Centre, Southern Cross University, Coffs Harbour, New South Wales, Australia.
Paul ScofieldCanterbury Museum, Rolleston Ave, Christchurch, 8001, New Zealand.
Oliver HaddrathDepartment of Natural History, Royal Ontario Museum, 100 Queen's Park, Toronto, Ontario, M5S 2C6, Canada.
Allan BakerDepartment of Natural History, Royal Ontario Museum, 100 Queen's Park, Toronto, Ontario, M5S 2C6, Canada.
David LambertEnvironmental Futures Research Institute, Griffith University, 170 Kessels Road, Brisbane, Queensland, 4111, Australia.
Craig MillarSchool of Biological Sciences, University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand. cd.millar@auckland.ac.nz.ORCID 0000-0002-1918-8248

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDNA 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.

resultsWe 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.

conclusionsDNA 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.

Indexed as

Biological EvolutionConservation of Natural ResourcesAnimalsBirdsDNA Barcoding, TaxonomicElectron Transport Complex IVGeographyIslandsNew ZealandPhylogenySpecies SpecificityElectron Transport Complex IVCOIConservationCytochrome c oxidase subunit IDNA barcodesNew Zealand birdsSpecimen identification

Identifiers

PMID30744573
PMCPMC6369544

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.