Evidence map›Paper›PMID 35228909›Full record

ArticlePeerJ2022

Disentangling bias for non-destructive insect metabarcoding.

Francesco Martoni, Alexander M Piper, Brendan C Rodoni, Mark J Blacket

Abstract read
In one paragraph

Article in PeerJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Accuracy of occurrence and abundance estimates from insect metabarcoding.bioRxiv : the preprint server for biology · 2026
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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.

Francesco MartoniAgriculture Victoria Research, AgriBio Centre for AgriBioscience, State Government Victoria, Bundoora, Victoria, Australia.ORCID 0000-0001-8064-4460
Alexander M PiperAgriculture Victoria Research, AgriBio Centre for AgriBioscience, State Government Victoria, Bundoora, Victoria, Australia.ORCID 0000-0002-0664-7564
Brendan C RodoniAgriculture Victoria Research, AgriBio Centre for AgriBioscience, State Government Victoria, Bundoora, Victoria, Australia.
Mark J BlacketAgriculture Victoria Research, AgriBio Centre for AgriBioscience, State Government Victoria, Bundoora, Victoria, Australia.ORCID 0000-0001-7864-5712

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A fast and reliable method for obtaining a species-level identification is a fundamental requirement for a wide range of activities, from plant protection and invasive species management to biodiversity assessments and ecological studies. For insects, novel molecular techniques such as DNA metabarcoding have emerged as a rapid alternative to traditional morphological identification, reducing the dependence on limited taxonomic experts. Until recently, molecular techniques have required a destructive DNA extraction, precluding the possibility of preserving voucher specimens for future studies, or species descriptions. Here we paired insect metabarcoding with two recent non-destructive DNA extraction protocols, to obtain a rapid and high-throughput taxonomic identification of diverse insect taxa while retaining a physical voucher specimen. The aim of this work was to explore how non-destructive extraction protocols impact the semi-quantitative nature of metabarcoding, which alongside species presence/absence also provides a quantitative, but biased, representation of their relative abundances. By using a series of mock communities representing each stage of a typical metabarcoding workflow we were able to determine how different morphological (

Indexed as

DNA Barcoding, TaxonomicInsectaAnimalsBiodiversityDNAPlantsDNABarcodingBiodiversityBiosecurityEntomologyHigh throughput sequencingPrimer bias

Identifiers

PMID35228909
PMCPMC8881911

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.