Data from: Quantitative DNA metabarcoding: improved estimates of species proportional biomass using correction factors derived from control material

AbstractDNA 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 seque...

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Main Authors: Thomas, Austen C., Deagle, Bruce E., Eveson, J. Paige, Harsch, Corie H., Trites, Andrew W.
Format: Dataset
Language:unknown
Published: 2021
Subjects:
Online Access:https://search.dataone.org/view/sha256:c289d15ceb47b43977ced73a0d92eb24214bf211a1ffbcd5be107bb70847426e
id dataone:sha256:c289d15ceb47b43977ced73a0d92eb24214bf211a1ffbcd5be107bb70847426e
record_format openpolar
spelling dataone:sha256:c289d15ceb47b43977ced73a0d92eb24214bf211a1ffbcd5be107bb70847426e 2024-06-03T18:46:52+00:00 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. 2021-05-20T00:00:00Z https://search.dataone.org/view/sha256:c289d15ceb47b43977ced73a0d92eb24214bf211a1ffbcd5be107bb70847426e unknown Diet Analysis Other Predator Prey Interactions Dataset 2021 dataone:urn:node:BOREALIS 2024-06-03T18:17:48Z AbstractDNA 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., Usage notesModel 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 Unknown
institution Open Polar
collection Unknown
op_collection_id dataone:urn:node:BOREALIS
language unknown
topic Diet Analysis
Other
Predator Prey Interactions
spellingShingle Diet Analysis
Other
Predator Prey Interactions
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 Diet Analysis
Other
Predator Prey Interactions
description AbstractDNA 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., Usage notesModel 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
publishDate 2021
url https://search.dataone.org/view/sha256:c289d15ceb47b43977ced73a0d92eb24214bf211a1ffbcd5be107bb70847426e
genre harbour seal
Phoca vitulina
genre_facet harbour seal
Phoca vitulina
_version_ 1800872349306716160