Data from: Quantitative DNA metabarcoding: improved estimates of species proportional biomass using correction factors derived from control material
DNA metabarcoding is a powerful new tool allowing characterization of species assemblages using high-throughput amplicon sequencing. The utility of DNA metabarcoding for quantifying relative species abundances is currently limited by both biological and technical biases which influence sequence read...
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ftdans:oai:easy.dans.knaw.nl:easy-dataset:91232 2023-07-02T03:32:30+02:00 Data from: Quantitative DNA metabarcoding: improved estimates of species proportional biomass using correction factors derived from control material Thomas, Austen C. Deagle, Bruce E. Eveson, J. Paige Harsch, Corie H. Trites, Andrew W. 2015-11-18T19:10:13.000+01:00 http://nbn-resolving.org/urn:nbn:nl:ui:13-vt-q6rd https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:91232 unknown doi:10.5061/dryad.7dv96/1 doi:10.5061/dryad.7dv96/2 doi:10.5061/dryad.7dv96/3 doi:10.1111/1755-0998.12490 PMID:26602877 http://nbn-resolving.org/urn:nbn:nl:ui:13-vt-q6rd doi:10.5061/dryad.7dv96 https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:91232 OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf Life sciences medicine and health care 2015 ftdans https://doi.org/10.5061/dryad.7dv96/110.5061/dryad.7dv96/210.5061/dryad.7dv96/310.1111/1755-0998.1249010.5061/dryad.7dv96 2023-06-13T13:20:28Z DNA metabarcoding is a powerful new tool allowing characterization of species assemblages using high-throughput amplicon sequencing. The utility of DNA metabarcoding for quantifying relative species abundances is currently limited by both biological and technical biases which influence sequence read counts. We tested the idea of sequencing 50/50 mixtures of target species and a control species in order to generate relative correction factors (RCFs) that account for multiple sources of bias and are applicable to field studies. RCFs will be most effective if they are not affected by input mass ratio or co-occurring species. In a model experiment involving three target fish species and a fixed control, we found RCFs did vary with input ratio but in a consistent fashion, and that 50/50 RCFs applied to DNA sequence counts from various mixtures of the target species still greatly improved relative abundance estimates (e.g. average per species error of 19 ± 8% for uncorrected vs. 3 ± 1% for corrected estimates). To demonstrate the use of correction factors in a field setting, we calculated 50/50 RCFs for 18 harbour seal (Phoca vitulina) prey species (RCFs ranging from 0.68 to 3.68). Applying these corrections to field-collected seal scats affected species percentages from individual samples (Δ 6.7 ± 6.6%) more than population-level species estimates (Δ 1.7 ± 1.2%). Our results indicate that the 50/50 RCF approach is an effective tool for evaluating and correcting biases in DNA metabarcoding studies. The decision to apply correction factors will be influenced by the feasibility of creating tissue mixtures for the target species, and the level of accuracy needed to meet research objectives. Other/Unknown Material harbour seal Phoca vitulina Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen) |
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Data Archiving and Networked Services (DANS): EASY (KNAW - Koninklijke Nederlandse Akademie van Wetenschappen) |
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Life sciences medicine and health care |
spellingShingle |
Life sciences medicine and health care Thomas, Austen C. Deagle, Bruce E. Eveson, J. Paige Harsch, Corie H. Trites, Andrew W. Data from: Quantitative DNA metabarcoding: improved estimates of species proportional biomass using correction factors derived from control material |
topic_facet |
Life sciences medicine and health care |
description |
DNA metabarcoding is a powerful new tool allowing characterization of species assemblages using high-throughput amplicon sequencing. The utility of DNA metabarcoding for quantifying relative species abundances is currently limited by both biological and technical biases which influence sequence read counts. We tested the idea of sequencing 50/50 mixtures of target species and a control species in order to generate relative correction factors (RCFs) that account for multiple sources of bias and are applicable to field studies. RCFs will be most effective if they are not affected by input mass ratio or co-occurring species. In a model experiment involving three target fish species and a fixed control, we found RCFs did vary with input ratio but in a consistent fashion, and that 50/50 RCFs applied to DNA sequence counts from various mixtures of the target species still greatly improved relative abundance estimates (e.g. average per species error of 19 ± 8% for uncorrected vs. 3 ± 1% for corrected estimates). To demonstrate the use of correction factors in a field setting, we calculated 50/50 RCFs for 18 harbour seal (Phoca vitulina) prey species (RCFs ranging from 0.68 to 3.68). Applying these corrections to field-collected seal scats affected species percentages from individual samples (Δ 6.7 ± 6.6%) more than population-level species estimates (Δ 1.7 ± 1.2%). Our results indicate that the 50/50 RCF approach is an effective tool for evaluating and correcting biases in DNA metabarcoding studies. The decision to apply correction factors will be influenced by the feasibility of creating tissue mixtures for the target species, and the level of accuracy needed to meet research objectives. |
author |
Thomas, Austen C. Deagle, Bruce E. Eveson, J. Paige Harsch, Corie H. Trites, Andrew W. |
author_facet |
Thomas, Austen C. Deagle, Bruce E. Eveson, J. Paige Harsch, Corie H. Trites, Andrew W. |
author_sort |
Thomas, Austen C. |
title |
Data from: Quantitative DNA metabarcoding: improved estimates of species proportional biomass using correction factors derived from control material |
title_short |
Data from: Quantitative DNA metabarcoding: improved estimates of species proportional biomass using correction factors derived from control material |
title_full |
Data from: Quantitative DNA metabarcoding: improved estimates of species proportional biomass using correction factors derived from control material |
title_fullStr |
Data from: Quantitative DNA metabarcoding: improved estimates of species proportional biomass using correction factors derived from control material |
title_full_unstemmed |
Data from: Quantitative DNA metabarcoding: improved estimates of species proportional biomass using correction factors derived from control material |
title_sort |
data from: quantitative dna metabarcoding: improved estimates of species proportional biomass using correction factors derived from control material |
publishDate |
2015 |
url |
http://nbn-resolving.org/urn:nbn:nl:ui:13-vt-q6rd https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:91232 |
genre |
harbour seal Phoca vitulina |
genre_facet |
harbour seal Phoca vitulina |
op_relation |
doi:10.5061/dryad.7dv96/1 doi:10.5061/dryad.7dv96/2 doi:10.5061/dryad.7dv96/3 doi:10.1111/1755-0998.12490 PMID:26602877 http://nbn-resolving.org/urn:nbn:nl:ui:13-vt-q6rd doi:10.5061/dryad.7dv96 https://easy.dans.knaw.nl/ui/datasets/id/easy-dataset:91232 |
op_rights |
OPEN_ACCESS: The data are archived in Easy, they are accessible elsewhere through the DOI https://dans.knaw.nl/en/about/organisation-and-policy/legal-information/DANSLicence.pdf |
op_doi |
https://doi.org/10.5061/dryad.7dv96/110.5061/dryad.7dv96/210.5061/dryad.7dv96/310.1111/1755-0998.1249010.5061/dryad.7dv96 |
_version_ |
1770272092997025792 |