How quantitative is metabarcoding: A meta‐analytical approach

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...

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Vydané v:	Molecular ecology Ročník 28; číslo 2; s. 420 - 430
Hlavní autori:	Lamb, Philip D., Hunter, Ewan, Pinnegar, John K., Creer, Simon, Davies, Richard G., Taylor, Martin I.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England Blackwell Publishing Ltd 01.01.2019 John Wiley and Sons Inc
Predmet:	biomass Deoxyribonucleic acid DNA DNA barcoding Ecological monitoring Environmental DNA high‐throughput sequencing Meta-analysis metabarcoding Moderators next‐generation sequencing Sequences Special Issue: Species Interactions, Ecological Networks and Community Dynamics uncertainty variance meta-analysis biomass metabarcoding next-generation sequencing high-throughput sequencing
ISSN:	0962-1083, 1365-294X, 1365-294X
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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.
AbstractList	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. 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.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. 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. 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.
Author	Hunter, Ewan Pinnegar, John K. Taylor, Martin I. Creer, Simon Davies, Richard G. Lamb, Philip D.
AuthorAffiliation	4 School of Biological Sciences Bangor University Bangor UK 3 Cefas Lowestoft UK 2 School of Environmental Sciences University of East Anglia Norwich UK 1 School of Biological Sciences University of East Anglia Norwich UK
AuthorAffiliation_xml	– name: 1 School of Biological Sciences University of East Anglia Norwich UK – name: 4 School of Biological Sciences Bangor University Bangor UK – name: 3 Cefas Lowestoft UK – name: 2 School of Environmental Sciences University of East Anglia Norwich UK
Author_xml	– sequence: 1 givenname: Philip D. orcidid: 0000-0003-3748-8241 surname: Lamb fullname: Lamb, Philip D. email: p.lamb@uea.ac.uk organization: University of East Anglia – sequence: 2 givenname: Ewan surname: Hunter fullname: Hunter, Ewan organization: Cefas – sequence: 3 givenname: John K. surname: Pinnegar fullname: Pinnegar, John K. organization: Cefas – sequence: 4 givenname: Simon surname: Creer fullname: Creer, Simon organization: Bangor University – sequence: 5 givenname: Richard G. surname: Davies fullname: Davies, Richard G. organization: University of East Anglia – sequence: 6 givenname: Martin I. orcidid: 0000-0002-3858-0712 surname: Taylor fullname: Taylor, Martin I. organization: University of East Anglia
BackLink	https://www.ncbi.nlm.nih.gov/pubmed/30408260$$D View this record in MEDLINE/PubMed
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Cites_doi	10.1136/bmj.315.7109.629 10.1371/journal.pone.0130324 10.1371/journal.pone.0182694 10.1016/j.biocon.2014.11.019 10.1038/srep43249 10.1371/journal.pone.0021441 10.1038/srep46393 10.1111/mec.14776 10.1111/mec.14734 10.1371/journal.pone.0073935 10.1111/j.1755-0998.2009.02819.x 10.1371/journal.pone.0074371 10.1038/srep27282 10.1111/mec.12831 10.1038/srep28762 10.7717/peerj.1966 10.1002/ece3.1986 10.1111/1755-0998.12294 10.1080/00288330.2017.1298632 10.1128/AEM.03870-12 10.7717/peerj.3006 10.1007/s10592-010-0096-6 10.1111/1755-0998.12620 10.1111/1755-0998.12288 10.1136/bmj.333.7568.597 10.1007/s10493-015-9944-x 10.1371/journal.pone.0115335 10.1111/j.1365-294X.2011.05403.x 10.1111/mec.13564 10.1146/annurev.genom.9.081307.164359 10.2353/jmoldx.2010.090035 10.1002/etc.3275 10.1016/j.tree.2008.09.011 10.1111/1755-0998.12355 10.1111/1755-0998.12490 10.4172/jpb.1000381 10.11646/phytotaxa.295.1.1 10.1139/f03-071 10.1111/mec.13238 10.1371/journal.pone.0029973 10.23943/princeton/9780691137285.003.0006 10.1111/1755-0998.12188 10.1111/1755-0998.12364 10.1371/journal.pone.0165366 10.1002/ece3.3192 10.1016/j.soilbio.2005.11.034 10.1016/j.mimet.2017.05.014 10.18637/jss.v036.i03 10.1371/journal.pone.0177643 10.1016/j.foreco.2010.11.026 10.1111/j.2041-210X.2012.00198.x 10.1139/gen-2015-0228
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Copyright	2018 The Authors. Published by John Wiley & Sons Ltd 2018 The Authors. Molecular Ecology Published by John Wiley & Sons Ltd. Copyright © 2019 John Wiley & Sons Ltd
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References	2017; 5 2010; 12 2010; 11 2017; 7 2015; 15 2010; 10 2018; 28 2015; 183 2009; 24 1997; 315 2010; 36 2006; 38 2015; 10 2008; 9 2017; 295 2013; 8 2011; 6 2015; 8 2016; 16 2016; 59 2014; 23 2016; 35 2016; 13 2016; 56 2017; 139 2016; 11 2006; 333 2016; 4 2015; 24 2017; 51 2015; 67 2016; 6 2012; 3 2013; 79 2013; 13 2017; 17 2017; 12 2014; 14 2017 2013 2003; 60 2012; 7 2011; 261 2012; 21 2016; 25 Creer S. (e_1_2_10_8_1) 2016; 56 e_1_2_10_23_1 e_1_2_10_46_1 e_1_2_10_21_1 e_1_2_10_44_1 e_1_2_10_42_1 e_1_2_10_40_1 e_1_2_10_2_1 e_1_2_10_4_1 e_1_2_10_18_1 e_1_2_10_53_1 e_1_2_10_6_1 e_1_2_10_16_1 e_1_2_10_39_1 Krahn U. (e_1_2_10_27_1) 2013; 13 e_1_2_10_55_1 e_1_2_10_14_1 e_1_2_10_37_1 e_1_2_10_57_1 e_1_2_10_58_1 e_1_2_10_13_1 e_1_2_10_34_1 e_1_2_10_11_1 e_1_2_10_32_1 e_1_2_10_30_1 e_1_2_10_51_1 Rohatgi A. (e_1_2_10_41_1) 2017 Srivathsan A. (e_1_2_10_48_1) 2016; 13 e_1_2_10_29_1 e_1_2_10_25_1 e_1_2_10_24_1 e_1_2_10_45_1 e_1_2_10_22_1 e_1_2_10_43_1 e_1_2_10_20_1 e_1_2_10_52_1 e_1_2_10_3_1 e_1_2_10_19_1 e_1_2_10_54_1 e_1_2_10_5_1 e_1_2_10_17_1 e_1_2_10_38_1 e_1_2_10_56_1 e_1_2_10_15_1 e_1_2_10_36_1 e_1_2_10_12_1 e_1_2_10_35_1 e_1_2_10_9_1 e_1_2_10_10_1 e_1_2_10_33_1 R Core Team (e_1_2_10_7_1) 2017 e_1_2_10_31_1 e_1_2_10_50_1 e_1_2_10_28_1 e_1_2_10_49_1 e_1_2_10_26_1 e_1_2_10_47_1
References_xml	– volume: 56 start-page: 68 year: 2016 end-page: 74 article-title: The ecologist’s field guide to sequence‐based identification of biodiversity publication-title: Methods in Ecology and Evolution – volume: 6 start-page: 28762 year: 2016 article-title: DNA barcoding identifies a cosmopolitan diet in the ocean sunfish publication-title: Scientific Reports – volume: 139 start-page: 107 year: 2017 end-page: 112 article-title: DNA metabarcoding to assess indoor fungal communities: Electrostatic dust collectors and Illumina sequencing publication-title: Journal of Microbiological Methods – volume: 6 start-page: 27282 year: 2016 article-title: Using metabarcoding to reveal and quantify plant‐pollinator interactions publication-title: Scientific Reports – volume: 17 start-page: 721 issue: 4 year: 2017 end-page: 729 article-title: A comparison of DNA extraction methods for high‐throughput DNA analyses publication-title: Molecular Ecology Resources – volume: 11 start-page: 2039 year: 2010 end-page: 2048 article-title: Pyrosequencing faecal DNA to determine diet of little penguins: Is what goes in what comes out? publication-title: Conservation Genetics – volume: 38 start-page: 1872 issue: 7 year: 2006 end-page: 1879 article-title: Amplification facilitators and multiplex PCR: Tools to overcome PCR‐inhibition in DNA‐gut‐content analysis of soil‐living invertebrates publication-title: Soil Biology and Biochemistry – volume: 12 start-page: 109 issue: 1 year: 2010 end-page: 117 article-title: The effect of primer‐template mismatches on the detection and quantification of nucleic acids using the 5′ nuclease assay publication-title: Journal of Molecular Diagnostics – volume: 24 start-page: 4556 issue: 17 year: 2015 end-page: 4569 article-title: Not all are free‐living: High‐throughput DNA metabarcoding reveals a diverse community of protists parasitizing soil metazoa publication-title: Molecular Ecology – volume: 10 start-page: e0130324 issue: 7 year: 2015 article-title: Can DNA‐Based ecosystem assessments quantify species abundance? Testing primer bias and biomass—sequence relationships with an innovative metabarcoding protocol publication-title: PLoS One – start-page: 61 year: 2013 end-page: 71 – volume: 25 start-page: 1581 issue: 7 year: 2016 end-page: 1594 article-title: What you need is what you eat? Prey selection by the bat publication-title: Molecular Ecology – volume: 14 start-page: 306 issue: 2 year: 2014 end-page: 323 article-title: DNA metabarcoding multiplexing and validation of data accuracy for diet assessment: Application to omnivorous diet publication-title: Molecular Ecology Resources – volume: 7 start-page: 6918 issue: 17 year: 2017 end-page: 6926 article-title: Sorting things out: Assessing effects of unequal specimen biomass on DNA metabarcoding publication-title: Ecology and Evolution – volume: 7 start-page: 46393 year: 2017 article-title: Sensitivity and accuracy of high‐throughput metabarcoding methods for early detection of invasive fish species publication-title: Scientific Reports – volume: 261 start-page: 821 issue: 4 year: 2011 end-page: 828 article-title: Influence of management practices on large herbivore diet‐Case of European bison in Białowieza Primeval Forest (Poland) publication-title: Forest Ecology and Management – volume: 3 start-page: 613 year: 2012 end-page: 623 article-title: Biodiversity soup: Metabarcoding of arthropods for rapid biodiversity assessment and biomonitoring publication-title: Methods in Ecology and Evolution – volume: 7 start-page: 43249 year: 2017 article-title: Limitations and challenges of genetic barcode quantification publication-title: Scientific Reports – volume: 315 start-page: 629 issue: 7109 year: 1997 end-page: 634 article-title: Bias in meta‐analysis detected by a simple, graphical test publication-title: BMJ – volume: 8 start-page: 283 issue: 12 year: 2015 end-page: 291 article-title: A comparison of three bioinformatics pipelines for the analysis of preterm Gut microbiota using 16S rRNA gene sequencing data publication-title: Journal of Proteomics & Bioinformatics – volume: 60 start-page: 825 year: 2003 end-page: 829 article-title: Digestion of pelagic Ctenophora and Cnidaria by fish publication-title: Canadian Journal of Fisheries and Aquatic Sciences – volume: 23 start-page: 3601 year: 2014 end-page: 3604 article-title: Special issue on molecular detection of trophic interactions: Unpicking the tangled bank publication-title: Molecular Ecology – volume: 12 start-page: e0177643 issue: 5 year: 2017 article-title: Environmental DNA (eDNA) metabarcoding assays to detect invasive invertebrate species in the Great Lakes publication-title: PLoS One – volume: 9 start-page: 387 year: 2008 end-page: 402 article-title: Next‐generation DNA sequencing methods publication-title: Annual Review of Genomics and Human Genetics – volume: 13 issue: 17 year: 2016 article-title: Fecal metagenomics for the simultaneous assessment of diet, parasites, and population genetics of an understudied primate publication-title: Frontiers in Zoology – volume: 36 start-page: 1 issue: 3 year: 2010 end-page: 48 article-title: Conducting meta‐analyses in R with the metafor package publication-title: Journal of Statistical Software – volume: 11 start-page: e0165366 issue: 11 year: 2016 article-title: Metabarcoding of fecal samples to determine herbivore diets: A case study of the endangered Pacific pocket mouse publication-title: PLoS One – volume: 15 start-page: 819 issue: 4 year: 2015 end-page: 830 article-title: Universal and blocking primer mismatches limit the use of high‐throughput DNA sequencing for the quantitative metabarcoding of arthropods publication-title: Molecular Ecology Resources – volume: 59 start-page: 705 year: 2016 end-page: 723 article-title: A quantitative protocol for DNA metabarcoding of springtails (Collembola) publication-title: Genome – volume: 51 start-page: 555 issue: 4 year: 2017 end-page: 576 article-title: Assessment of the metabarcoding approach for community analysis of benthic‐epiphytic dinoflagellates using mock communities publication-title: New Zealand Journal of Marine and Freshwater Research – volume: 10 start-page: e0115335 issue: 1 year: 2015 article-title: Highly overlapping winter diet in two sympatric lemming species revealed by DNA metabarcoding publication-title: PLoS One – volume: 8 start-page: e74371 issue: 9 year: 2013 article-title: 454 Pyrosequencing to describe microbial eukaryotic community composition, diversity and relative abundance: A test for marine haptophytes publication-title: PLoS One – volume: 10 start-page: 666 issue: 4 year: 2010 end-page: 676 article-title: Reproducibility of read numbers in high‐throughput sequencing analysis of nematode community composition and structure publication-title: Molecular Ecology Resources – volume: 28 start-page: 407 issue: 2 year: 2018 end-page: 419 article-title: The choice of universal primers and the characteristics of the species mixture determines when DNA metabarcoding can be quantitative publication-title: Molecular Ecology – volume: 6 start-page: 1809 issue: 6 year: 2016 end-page: 1824 article-title: 18S rRNA V9 metabarcoding for diet characterization: A critical evaluation with two sympatric zooplanktivorous fish species publication-title: Ecology and Evolution – volume: 24 start-page: 110 issue: 2 year: 2009 end-page: 117 article-title: DNA barcoding for ecologists publication-title: Trends in Ecology & Evolution – volume: 4 start-page: e1966 year: 2016 article-title: Testing the potential of a ribosomal 16S marker for DNA metabarcoding of insects publication-title: PeerJ – volume: 5 start-page: e3006 year: 2017 article-title: Random sampling causes the low reproducibility of rare eukaryotic OTUs in Illumina COI metabarcoding publication-title: PeerJ – volume: 13 issue: 35 year: 2013 article-title: A graphical tool for locating inconsistency in network meta‐analyses publication-title: BMC Medical Research Methodology – volume: 16 start-page: 714 issue: 3 year: 2016 end-page: 726 article-title: Quantitative DNA metabarcoding: Improved estimates of species proportional biomass using correction factors derived from control material publication-title: Molecular Ecology Resources – volume: 7 start-page: e29973 issue: 1 year: 2012 article-title: Amplification by PCR artificially reduces the proportion of the rare biosphere in microbial communities publication-title: PLoS One – volume: 79 start-page: 2519 issue: 8 year: 2013 end-page: 2526 article-title: Improved selection of internal transcribed spacer‐specific primers enables quantitative, ultra‐high‐throughput profiling of fungal communities publication-title: Applied and Environmental Microbiology – volume: 12 start-page: e0182694 issue: 8 year: 2017 article-title: Comparison of alternative approaches for analysing multi‐level RNA‐seq data publication-title: PLoS One – volume: 8 start-page: e73935 issue: 9 year: 2013 article-title: Evaluating detection limits of next‐generation sequencing for the surveillance and monitoring of international marine pests publication-title: PLoS One – volume: 28 start-page: 391 year: 2018 end-page: 406 article-title: Counting with DNA in metabarcoding studies: How should we convert sequence reads to dietary data? publication-title: Molecular Ecology – volume: 6 start-page: e21441 issue: 6 year: 2011 article-title: Molecular diet analysis of two African free‐tailed bats (Molossidae) using high throughput sequencing publication-title: PLoS One – volume: 21 start-page: 1931 issue: 8 year: 2012 end-page: 1950 article-title: Who is eating what: Diet assessment using next generation sequencing publication-title: Molecular Ecology – volume: 15 start-page: 68 issue: 1 year: 2015 end-page: 80 article-title: A metagenetic approach for revealing community structure of marine planktonic copepods publication-title: Molecular Ecology Resources – volume: 15 start-page: 8 issue: 1 year: 2015 end-page: 16 article-title: Efficient and sensitive identification and quantification of airborne pollen using next‐generation DNA sequencing publication-title: Molecular Ecology Resources – volume: 333 start-page: 597 year: 2006 end-page: 600 article-title: The case of the misleading funnel plot publication-title: British Medical Journal – volume: 67 start-page: 209 issue: 2 year: 2015 end-page: 218 article-title: NGS metabarcoding proves successful for quantitative assessment of symbiont abundance: The case of feather mites on birds publication-title: Experimental and Applied Acarology – volume: 183 start-page: 4 year: 2015 end-page: 18 article-title: Environmental DNA ‐ An emerging tool in conservation for monitoring past and present biodiversity publication-title: Biological Conservation – year: 2017 – volume: 15 start-page: 880 issue: 4 year: 2015 end-page: 892 article-title: Detection and decay rates of prey and prey symbionts in the gut of a predator through metagenomics publication-title: Molecular Ecology Resources – volume: 295 start-page: 1 issue: 1 year: 2017 end-page: 21 article-title: Using next‐generation sequencing (NGS) to uncover diversity of wood‐decaying fungi in neotropical atlantic forests publication-title: Phytotaxa – volume: 35 start-page: 1970 issue: 8 year: 2016 end-page: 1977 article-title: Is qualitative and quantitative metabarcoding of dung fauna biodiversity feasible? publication-title: Environmental Toxicology and Chemistry – ident: e_1_2_10_14_1 doi: 10.1136/bmj.315.7109.629 – ident: e_1_2_10_15_1 doi: 10.1371/journal.pone.0130324 – ident: e_1_2_10_31_1 doi: 10.1371/journal.pone.0182694 – ident: e_1_2_10_53_1 doi: 10.1016/j.biocon.2014.11.019 – ident: e_1_2_10_51_1 doi: 10.1038/srep43249 – ident: e_1_2_10_5_1 doi: 10.1371/journal.pone.0021441 – ident: e_1_2_10_20_1 doi: 10.1038/srep46393 – ident: e_1_2_10_34_1 doi: 10.1111/mec.14776 – ident: e_1_2_10_10_1 doi: 10.1111/mec.14734 – volume-title: R: A language and environment for statistical computing year: 2017 ident: e_1_2_10_7_1 – ident: e_1_2_10_36_1 doi: 10.1371/journal.pone.0073935 – volume: 56 start-page: 68 year: 2016 ident: e_1_2_10_8_1 article-title: The ecologist’s field guide to sequence‐based identification of biodiversity publication-title: Methods in Ecology and Evolution – volume: 13 issue: 17 year: 2016 ident: e_1_2_10_48_1 article-title: Fecal metagenomics for the simultaneous assessment of diet, parasites, and population genetics of an understudied primate publication-title: Frontiers in Zoology – ident: e_1_2_10_38_1 doi: 10.1111/j.1755-0998.2009.02819.x – ident: e_1_2_10_13_1 doi: 10.1371/journal.pone.0074371 – ident: e_1_2_10_39_1 doi: 10.1038/srep27282 – ident: e_1_2_10_50_1 doi: 10.1111/mec.12831 – ident: e_1_2_10_47_1 doi: 10.1038/srep28762 – ident: e_1_2_10_17_1 doi: 10.7717/peerj.1966 – volume-title: WebPlotDigitizer year: 2017 ident: e_1_2_10_41_1 – ident: e_1_2_10_2_1 doi: 10.1002/ece3.1986 – ident: e_1_2_10_21_1 doi: 10.1111/1755-0998.12294 – ident: e_1_2_10_45_1 doi: 10.1080/00288330.2017.1298632 – ident: e_1_2_10_6_1 doi: 10.1128/AEM.03870-12 – ident: e_1_2_10_29_1 doi: 10.7717/peerj.3006 – ident: e_1_2_10_11_1 doi: 10.1007/s10592-010-0096-6 – ident: e_1_2_10_44_1 doi: 10.1111/1755-0998.12620 – ident: e_1_2_10_26_1 doi: 10.1111/1755-0998.12288 – ident: e_1_2_10_28_1 doi: 10.1136/bmj.333.7568.597 – ident: e_1_2_10_12_1 doi: 10.1007/s10493-015-9944-x – ident: e_1_2_10_46_1 doi: 10.1371/journal.pone.0115335 – ident: e_1_2_10_37_1 doi: 10.1111/j.1365-294X.2011.05403.x – ident: e_1_2_10_56_1 doi: 10.1111/mec.13564 – ident: e_1_2_10_30_1 doi: 10.1146/annurev.genom.9.081307.164359 – ident: e_1_2_10_49_1 doi: 10.2353/jmoldx.2010.090035 – ident: e_1_2_10_4_1 doi: 10.1002/etc.3275 – ident: e_1_2_10_54_1 doi: 10.1016/j.tree.2008.09.011 – ident: e_1_2_10_33_1 doi: 10.1111/1755-0998.12355 – ident: e_1_2_10_52_1 doi: 10.1111/1755-0998.12490 – ident: e_1_2_10_35_1 doi: 10.4172/jpb.1000381 – ident: e_1_2_10_55_1 doi: 10.11646/phytotaxa.295.1.1 – ident: e_1_2_10_3_1 doi: 10.1139/f03-071 – ident: e_1_2_10_18_1 doi: 10.1111/mec.13238 – ident: e_1_2_10_19_1 doi: 10.1371/journal.pone.0029973 – ident: e_1_2_10_42_1 doi: 10.23943/princeton/9780691137285.003.0006 – ident: e_1_2_10_9_1 doi: 10.1111/1755-0998.12188 – ident: e_1_2_10_32_1 doi: 10.1111/1755-0998.12364 – ident: e_1_2_10_22_1 doi: 10.1371/journal.pone.0165366 – ident: e_1_2_10_16_1 doi: 10.1002/ece3.3192 – volume: 13 issue: 35 year: 2013 ident: e_1_2_10_27_1 article-title: A graphical tool for locating inconsistency in network meta‐analyses publication-title: BMC Medical Research Methodology – ident: e_1_2_10_23_1 doi: 10.1016/j.soilbio.2005.11.034 – ident: e_1_2_10_40_1 doi: 10.1016/j.mimet.2017.05.014 – ident: e_1_2_10_57_1 doi: 10.18637/jss.v036.i03 – ident: e_1_2_10_24_1 doi: 10.1371/journal.pone.0177643 – ident: e_1_2_10_25_1 doi: 10.1016/j.foreco.2010.11.026 – ident: e_1_2_10_58_1 doi: 10.1111/j.2041-210X.2012.00198.x – ident: e_1_2_10_43_1 doi: 10.1139/gen-2015-0228
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Snippet	Metabarcoding has been used in a range of ecological applications such as taxonomic assignment, dietary analysis and the analysis of environmental DNA....
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SubjectTerms	biomass Deoxyribonucleic acid DNA DNA barcoding Ecological monitoring Environmental DNA high‐throughput sequencing Meta-analysis metabarcoding Moderators next‐generation sequencing Sequences Special Issue: Species Interactions, Ecological Networks and Community Dynamics uncertainty variance
Title	How quantitative is metabarcoding: A meta‐analytical approach
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