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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Main Authors: Thomas, Austen C., Deagle, Bruce E., Eveson, J. Paige, Harsch, Corie H., Trites, Andrew W.
Format: Dataset
Language:English
Published: Dryad 2015
Subjects:
Online Access:https://dx.doi.org/10.5061/dryad.7dv96
http://datadryad.org/stash/dataset/doi:10.5061/dryad.7dv96
id ftdatacite:10.5061/dryad.7dv96
record_format openpolar
spelling ftdatacite:10.5061/dryad.7dv96 2023-05-15T16:33:39+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 https://dx.doi.org/10.5061/dryad.7dv96 http://datadryad.org/stash/dataset/doi:10.5061/dryad.7dv96 en eng Dryad https://dx.doi.org/10.1111/1755-0998.12490 Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 CC0 Predator Prey Interactions Diet Analysis dataset Dataset 2015 ftdatacite https://doi.org/10.5061/dryad.7dv96 https://doi.org/10.1111/1755-0998.12490 2022-02-08T12:42:49Z 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. : Model System DataPlease see ReadMe filePrey_Library_DataPlease see ReadMe fileSupplemental_FilesTissue mix sequence counts Custom BLAST database Model system species sequences Dataset harbour seal Phoca vitulina DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic Predator Prey Interactions
Diet Analysis
spellingShingle Predator Prey Interactions
Diet Analysis
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 Predator Prey Interactions
Diet Analysis
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. : Model System DataPlease see ReadMe filePrey_Library_DataPlease see ReadMe fileSupplemental_FilesTissue mix sequence counts Custom BLAST database Model system species sequences
format Dataset
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
publisher Dryad
publishDate 2015
url https://dx.doi.org/10.5061/dryad.7dv96
http://datadryad.org/stash/dataset/doi:10.5061/dryad.7dv96
genre harbour seal
Phoca vitulina
genre_facet harbour seal
Phoca vitulina
op_relation https://dx.doi.org/10.1111/1755-0998.12490
op_rights Creative Commons Zero v1.0 Universal
https://creativecommons.org/publicdomain/zero/1.0/legalcode
cc0-1.0
op_rightsnorm CC0
op_doi https://doi.org/10.5061/dryad.7dv96
https://doi.org/10.1111/1755-0998.12490
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