Estimating and mitigating amplification bias in qualitative and quantitative arthropod metabarcoding

Amplicon based metabarcoding promises rapid and cost-efficient analyses of species composition. However, it is disputed whether abundance estimates can be derived from metabarcoding due to taxon specific PCR amplification biases. PCR-free approaches have been suggested to mitigate this problem, but...

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Veröffentlicht in:Scientific reports 2017-12, Vol.7 (1), p.17668-12, Article 17668
Hauptverfasser: Krehenwinkel, Henrik, Wolf, Madeline, Lim, Jun Ying, Rominger, Andrew J., Simison, Warren B., Gillespie, Rosemary G.
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container_issue 1
container_start_page 17668
container_title Scientific reports
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creator Krehenwinkel, Henrik
Wolf, Madeline
Lim, Jun Ying
Rominger, Andrew J.
Simison, Warren B.
Gillespie, Rosemary G.
description Amplicon based metabarcoding promises rapid and cost-efficient analyses of species composition. However, it is disputed whether abundance estimates can be derived from metabarcoding due to taxon specific PCR amplification biases. PCR-free approaches have been suggested to mitigate this problem, but come with considerable increases in workload and cost. Here, we analyze multilocus datasets of diverse arthropod communities, to evaluate whether amplification bias can be countered by ( 1 ) targeting loci with highly degenerate primers or conserved priming sites, ( 2 ) increasing PCR template concentration, ( 3 ) reducing PCR cycle number or ( 4 ) avoiding locus specific amplification by directly sequencing genomic DNA. Amplification bias is reduced considerably by degenerate primers or targeting amplicons with conserved priming sites. Surprisingly, a reduction of PCR cycles did not have a strong effect on amplification bias. The association of taxon abundance and read count was actually less predictable with fewer cycles. Even a complete exclusion of locus specific amplification did not exclude bias. Copy number variation of the target loci may be another explanation for read abundance differences between taxa, which would affect amplicon based and PCR free methods alike. As read abundance biases are taxon specific and predictable, the application of correction factors allows abundance estimates.
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subjects 631/158/2464
631/158/670
Abundance
Animals
Arthropods
Arthropods - genetics
Bias
Copy number
DNA Copy Number Variations - genetics
DNA Primers - genetics
DNA sequencing
Gene Amplification - genetics
High-Throughput Nucleotide Sequencing - methods
Humanities and Social Sciences
multidisciplinary
Polymerase chain reaction
Polymerase Chain Reaction - methods
Primers
Science
Science (multidisciplinary)
Species composition
Taxa
title Estimating and mitigating amplification bias in qualitative and quantitative arthropod metabarcoding
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