How quantitative is metabarcoding: A meta‐analytical approach. Issue 2 (7th December 2018)

• Record Type: Journal Article
• Authors: Lamb, Philip D.; Hunter, Ewan; Pinnegar, John K.; Creer, Simon; Davies, Richard G.; Taylor, Martin I.
• Other Names: Roslin Tomas guestEditor.; Traugott Michael guestEditor.; Jonsson Mattias guestEditor.; Stone Graham N. guestEditor.; Creer Simon guestEditor.; Symondson William O. C. guestEditor.
• Is Part Of: Molecular ecology. Volume 28:Issue 2(2019)
• Page Start: 420
• Page End: 430
• Publication Date: 2018-12-07
• Subjects: biomass -- high‐throughput sequencing -- meta‐analysis -- metabarcoding -- next‐generation sequencing; Molecular ecology -- Periodicals; Molecular population biology -- Periodicals; 576
• DOI: 10.1111/mec.14920
• Languages: English
• ISSNs: 0962-1083

Abstract

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 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 utilized 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.