Joint first authors.
Biodiversity soup: metabarcoding of arthropods for rapid biodiversity assessment and biomonitoring
Article first published online: 3 MAY 2012
DOI: 10.1111/j.2041-210X.2012.00198.x
© 2012 The Authors. Methods in Ecology and Evolution © 2012 British Ecological Society
Additional Information
How to Cite
Yu, D. W., Ji, Y., Emerson, B. C., Wang, X., Ye, C., Yang, C. and Ding, Z. (2012), Biodiversity soup: metabarcoding of arthropods for rapid biodiversity assessment and biomonitoring. Methods in Ecology and Evolution, 3: 613–623. doi: 10.1111/j.2041-210X.2012.00198.x
Correspondence site: http://www.respond2articles.com/MEE/
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Joint first authors.
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Present address: Island Ecology and Evolution Research Group, IPNA-CSIC, C/Astrofísico Francisco Sánchez 3, 38206 La Laguna, Tenerife, Canary Islands, Spain.
Re-use of this article is permitted in accordance with the Terms and Conditions set out at http://wileyonlinelibrary.com/onlineopen#OnlineOpen_Terms
Publication History
- Issue published online: 30 JUL 2012
- Article first published online: 3 MAY 2012
- Received 3 January 2012; accepted 26 February 2012 Handling Editor: Robert Freckleton
Keywords:
- 454 Genome Sequencer FLX System;
- DNA barcoding;
- high-throughput sequencing;
- metagenetics;
- metagenomics;
- OTU picking;
- phylogenetic diversity
Summary
1. Traditional biodiversity assessment is costly in time, money and taxonomic expertise. Moreover, data are frequently collected in ways (e.g. visual bird lists) that are unsuitable for auditing by neutral parties, which is necessary for dispute resolution.
2. We present protocols for the extraction of ecological, taxonomic and phylogenetic information from bulk samples of arthropods. The protocols combine mass trapping of arthropods, mass-PCR amplification of the COI barcode gene, pyrosequencing and bioinformatic analysis, which together we call ‘metabarcoding’.
3. We construct seven communities of arthropods (mostly insects) and show that it is possible to recover a substantial proportion of the original taxonomic information. We further demonstrate, for the first time, that metabarcoding allows for the precise estimation of pairwise community dissimilarity (beta diversity) and within-community phylogenetic diversity (alpha diversity), despite the inevitable loss of taxonomic information inherent to metabarcoding.
4. Alpha and beta diversity metrics are the raw materials of ecology and the environmental sciences, facilitating assessment of the state of the environment with a broad and efficient measure of biodiversity.

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