Evidence map›Paper›PMID 34593851›Full record

ArticleScientific reports2021

Handling of targeted amplicon sequencing data focusing on index hopping and demultiplexing using a nested metabarcoding approach in ecology.

Yasemin Guenay-Greunke, David A Bohan, Michael Traugott, Corinna Wallinger

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

21 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. First isolation of a methanotrophicApplied and environmental microbiology · 2025
    Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Possible Shifts in the Genetic Diversity of Red-crowned Cranes (Animals : an open access journal from MDPI · 2024
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Yasemin Guenay-GreunkeApplied Animal Ecology, Department of Zoology, University of Innsbruck, Technikerstraße 25, 6020, Innsbruck, Austria. yasemin.guenay-greunke.science@outlook.com.ORCID 0000-0002-7054-3380
David A BohanAgroécologie, AgroSup Dijon, INRAE, Université Bourgogne Franche-Comté, 21000, Dijon, France.ORCID 0000-0001-5656-775X
Michael TraugottApplied Animal Ecology, Department of Zoology, University of Innsbruck, Technikerstraße 25, 6020, Innsbruck, Austria.ORCID 0000-0001-9719-5059
Corinna WallingerApplied Animal Ecology, Department of Zoology, University of Innsbruck, Technikerstraße 25, 6020, Innsbruck, Austria.ORCID 0000-0002-7153-9690

Funding

Austrian Science Fund FWF P 28578
6 · The paper itself

Abstract

High-throughput sequencing platforms are increasingly being used for targeted amplicon sequencing because they enable cost-effective sequencing of large sample sets. For meaningful interpretation of targeted amplicon sequencing data and comparison between studies, it is critical that bioinformatic analyses do not introduce artefacts and rely on detailed protocols to ensure that all methods are properly performed and documented. The analysis of large sample sets and the use of predefined indexes create challenges, such as adjusting the sequencing depth across samples and taking sequencing errors or index hopping into account. However, the potential biases these factors introduce to high-throughput amplicon sequencing data sets and how they may be overcome have rarely been addressed. On the example of a nested metabarcoding analysis of 1920 carabid beetle regurgitates to assess plant feeding, we investigated: (i) the variation in sequencing depth of individually tagged samples and the effect of library preparation on the data output; (ii) the influence of sequencing errors within index regions and its consequences for demultiplexing; and (iii) the effect of index hopping. Our results demonstrate that despite library quantification, large variation in read counts and sequencing depth occurred among samples and that the sequencing error rate in bioinformatic software is essential for accurate adapter/primer trimming and demultiplexing. Moreover, setting an index hopping threshold to avoid incorrect assignment of samples is highly recommended.

Indexed as

DNA Barcoding, TaxonomicEcologyHigh-Throughput Nucleotide SequencingSequence Analysis, DNAAnimalsColeopteraComputational BiologyGene LibrarySoftware

Identifiers

PMID34593851
PMCPMC8484467

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.