Estimating the biodiversity of terrestrial invertebrates on a forested island using DNA barcodes and metabarcoding data.

28S COI Hauturu Little Barrier Island New Zealand OTUs biodiversity estimation leaf litter soil

Journal

Ecological applications : a publication of the Ecological Society of America
ISSN: 1051-0761
Titre abrégé: Ecol Appl
Pays: United States
ID NLM: 9889808

Informations de publication

Date de publication:
06 2019
Historique:
received: 11 09 2018
revised: 13 01 2019
accepted: 30 01 2019
pubmed: 28 2 2019
medline: 12 10 2019
entrez: 28 2 2019
Statut: ppublish

Résumé

Invertebrates are a major component of terrestrial ecosystems, however, estimating their biodiversity is challenging. We compiled an inventory of invertebrate biodiversity along an elevation gradient on the temperate forested island of Hauturu, New Zealand, by DNA barcoding of specimens obtained from leaf litter samples and pitfall traps. We compared the barcodes and biodiversity estimates from this data set with those from a parallel DNA metabarcoding analysis of soil from the same locations, and with pre-existing sequences in reference databases, before exploring the use of combined data sets as a basis for estimating total invertebrate biodiversity. We obtained 1,282 28S and 1,610 COI barcodes from a total of 1,947 invertebrate specimens, which were clustered into 247 (28S) and 366 (COI) OTUs, of which ≤ 10% were represented in GenBank. Coleoptera were most abundant (730 sequenced specimens), followed by Hymenoptera, Diptera, Lepidoptera, and Amphipoda. The most abundant OTU from both the 28S (153 sequences) and COI (140 sequences) data sets was an undescribed beetle from the family Salpingidae. Based on the occurrences of COI OTUs along the elevation gradient, we estimated there are ~1,000 arthropod species (excluding mites) on Hauturu, including 770 insects, of which 344 are beetles. A DNA metabarcoding analysis of soil DNA from the same sites resulted in the identification of similar numbers of OTUs in most invertebrate groups compared with the DNA barcoding, but less than 10% of the DNA barcoding COI OTUs were also detected by the metabarcoding analysis of soil DNA. A mark-recapture analysis based on the overlap between these data sets estimated the presence of approximately 6,800 arthropod species (excluding mites) on the island, including ~3,900 insects. Estimates of New Zealand-wide biodiversity for selected arthropod groups based on matching of the COI DNA barcodes with pre-existing reference sequences suggested over 13,200 insect species are present, including 4,000 Coleoptera, 2,200 Diptera, and 2,700 Hymenoptera species, and 1,000 arachnid species (excluding mites). These results confirm that metabarcoding analyses of soil DNA tends to recover different components of terrestrial invertebrate biodiversity compared to traditional invertebrate sampling, but the combined methods provide a novel basis for estimating invertebrate biodiversity.

Identifiants

pubmed: 30811075
doi: 10.1002/eap.1877
doi:

Substances chimiques

DNA 9007-49-2

Banques de données

GENBANK
['KP420745', 'KP422464', 'KT439401', 'KT440856']

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e01877

Subventions

Organisme : University of Auckland
Pays : International
Organisme : New Zealand Tertiary Education Commission
Pays : International

Informations de copyright

© 2019 by the Ecological Society of America.

Auteurs

Andrew Dopheide (A)

School of Biological Sciences, The University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand.
The New Zealand Institute for Plant and Food Research, Private Bag 92169, Auckland, 1142, New Zealand.
Manaaki Whenua-Landcare Research, Private Bag 92170, Auckland, 1142, New Zealand.

Leah K Tooman (LK)

The New Zealand Institute for Plant and Food Research, Private Bag 92169, Auckland, 1142, New Zealand.

Stefanie Grosser (S)

Manaaki Whenua-Landcare Research, Private Bag 92170, Auckland, 1142, New Zealand.
Division of Evolutionary Biology, Faculty of Biology, LMU Munich, Geschwister-Scholl-Platz 1, 80539, 80539, Munich, Germany.

Barbara Agabiti (B)

Centre for Computational Evolution, University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand.

Birgit Rhode (B)

Manaaki Whenua-Landcare Research, Private Bag 92170, Auckland, 1142, New Zealand.

Dong Xie (D)

Centre for Computational Evolution, University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand.

Mark I Stevens (MI)

South Australian Museum, North Terrace, GPO Box 234, Adelaide, South Australia, 5001, Australia.
School of Pharmacy and Medical Sciences, University of South Australia, GPO Box 2471, Adelaide, South Australia, 5001, Australia.

Nicola Nelson (N)

School of Biological Sciences, Victoria University of Wellington, PO Box 600, Wellington, 6140, New Zealand.

Thomas R Buckley (TR)

School of Biological Sciences, The University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand.
Manaaki Whenua-Landcare Research, Private Bag 92170, Auckland, 1142, New Zealand.

Alexei J Drummond (AJ)

Centre for Computational Evolution, University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand.

Richard D Newcomb (RD)

School of Biological Sciences, The University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand.
The New Zealand Institute for Plant and Food Research, Private Bag 92169, Auckland, 1142, New Zealand.

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