Reliable, verifiable and efficient monitoring of biodiversity via metabarcoding
Kunming Institute of Zoology · Chinese Academy of Sciences · +15 more institutions
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…
Citation impact
- FWCI
- 40.13
- Percentile
- 100%
- References
- 80
Authors
21- YJYinqiu Ji
Kunming Institute of Zoology, Chinese Academy of Sciences
- LALouise A. Ashton
Griffith University
- SMScott M. Pedley
University of East Anglia, Norwich Research Park
- DPDavid P. Edwards
Woodrow Wilson International Center for Scholars, Princeton University, James Cook University
- YTYong Tang
Xishuangbanna Tropical Botanical Garden
Topics & keywords
- Biodiversity
- Ecology
- Taxonomic rank
- Biology
- Subtropics
- Temperate climate
- Verifiable secret sharing
- Geography
- Life in Land
Funding
- MFMeadows Foundation
- PUPrinceton University
- HMHigh Meadows Foundation
- UOUniversity of East Anglia
- GUGriffith University
- NNNational Natural Science Foundation of ChinaAward: 31170498
- CAChinese Academy of SciencesAwards: KSCX2-YW-Z-1027, GJHZ1130, 0902281081, 0902281081, KSCX2-YW-Z-1027
- SKState Key Laboratory of Genetic Resources and Evolution
- NENatural Environment Research Council
- IOInstitute of Zoology, Chinese Academy of Sciences
- KIKunming Institute of Zoology, Chinese Academy of Sciences