Abstract
Metabarcoding has been used in a range of ecological applications such as taxonomic assignment, dietary analysis, and the analysis of environmental DNA. However, after a decade of use in these applications there is little consensus on the extent to which proportions of reads generated corresponds to the original proportions of species in a community. To quantify our current understanding we conducted a structured review and meta‐analysis. The analysis suggests that a weak quantitative relationship may exist between the biomass and sequences produced (slope = 0.52 ±0.34, p<0.01), albeit it with a large degree of uncertainty. None of the tested moderators: sequencing platform type, the number of species used in a trial, or the source of DNA were able to explain the variance. Our current understanding of the factors affecting the quantitative performance of metabarcoding is still limited: additional research is required before metabarcoding can be confidently utilised for quantitative applications. Until then, we advocate the inclusion of mock communities when metabarcoding as this facilitates direct assessment of the quantitative ability of any given study.
Original language | English |
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Pages (from-to) | 420-430 |
Number of pages | 11 |
Journal | Molecular Ecology |
Volume | 28 |
Issue number | 2 |
Early online date | 8 Nov 2018 |
DOIs | |
Publication status | Published - Jan 2019 |
Keywords
- Metabarcoding
- biomass
- high‐throughput
- next‐generation
- sequencing
- meta‐analysis
- metabarcoding
- next-generation sequencing
- meta-analysis
- high-throughput sequencing
Profiles
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Richard Davies
- School of Biological Sciences - Lecturer in Biodiversity
- Centre for Ecology, Evolution and Conservation - Member
- Organisms and the Environment - Member
Person: Research Group Member, Research Centre Member, Academic, Teaching & Research
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Martin Taylor
- School of Biological Sciences - Associate Professor in Molecular Ecology
- Centre for Ecology, Evolution and Conservation - Member
- Collaborative Centre for Sustainable Use of the Seas - Member
- Organisms and the Environment - Member
Person: Research Group Member, Research Centre Member, Academic, Teaching & Research
Datasets
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Data from: How quantitative is metabarcoding: a meta-analytical approach
Lamb, P. (Creator), Hunter, E. (Creator), Pinnegar, J. (Creator), Creer, S. (Creator), Davies, R. (Creator) & Taylor, M. (Creator), Dryad data repository, 29 Oct 2018
Dataset