Reliable, verifiable, and efficient monitoring of biodiversity via metabarcoding

Ji, Yinqiu, Ashton, Louise, Pedley, Scott M., Edwards, David P., Tang, Yong, Nakamura, Akihiro, Kitching, Roger, Dolman, Paul M. ORCID: https://orcid.org/0000-0002-9340-2791, Woodcock, Paul, Edwards, Felicity A., Larsen, Trond H., Hsu, Wayne W., Benedick, Suzan, Hamer, Keith C., Wilcove, David S., Bruce, Catharine, Wang, Xiaoyang, Levi, Taal, Lott, Martin, Emerson, Brent C. and Yu, Douglas W. (2013) Reliable, verifiable, and efficient monitoring of biodiversity via metabarcoding. Ecology Letters, 16 (10). 1245–1257. ISSN 1461-0248

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Abstract

To manage and conserve biodiversity, one must know what is being lost, where, and why, as well as which remedies are likely to be most effective. Metabarcoding technology can characterise the species compositions of mass samples of eukaryotes or of environmental DNA. Here, we validate metabarcoding by testing it against three high-quality standard data sets that were collected in Malaysia (tropical), China (subtropical) and the United Kingdom (temperate) and that comprised 55,813 arthropod and bird specimens identified to species level with the expenditure of 2,505 person-hours of taxonomic expertise. The metabarcode and standard data sets exhibit statistically correlated alpha- and beta-diversities, and the two data sets produce similar policy conclusions for two conservation applications: restoration ecology and systematic conservation planning. Compared with standard biodiversity data sets, metabarcoded samples are taxonomically more comprehensive, many times quicker to produce, less reliant on taxonomic expertise and auditable by third parties, which is essential for dispute resolution.

Item Type:	Article
Additional Information:	© 2013 The Authors. Ecology Letters published by John Wiley & Sons Ltd and CNRS 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.
Uncontrolled Keywords:	biodiversity,climate change,dna barcoding,heathland,restoration ecology,surveillance monitoring,systematic conservation planning,targeted monitoring,tropical forest,sdg 13 - climate action ,/dk/atira/pure/sustainabledevelopmentgoals/climate_action
Faculty \ School:	Faculty of Science > School of Environmental Sciences Faculty of Science > School of Biological Sciences
UEA Research Groups:	Faculty of Science > Research Centres > Centre for Ecology, Evolution and Conservation Faculty of Science > Research Groups > Environmental Biology Faculty of Science > Research Groups > Resources, Sustainability and Governance (former - to 2018) Faculty of Science > Research Groups > Computational Biology > Computational biology of RNA (former - to 2018) Faculty of Science > Research Groups > Organisms and the Environment
Depositing User:	Pure Connector
Date Deposited:	27 Jan 2014 15:00
Last Modified:	13 Jun 2023 08:11
URI:	https://ueaeprints.uea.ac.uk/id/eprint/47245
DOI:	10.1111/ele.12162

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