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ArticleMolecular ecology resources2025

EntoSieve: Automated Size-Sorting of Insect Bulk Samples to Aid Accurate Megabarcoding and Metabarcoding.

Aleida Ascenzi, Lorenz Wührl, Vivian Feng, Nathalie Klug, Christian Pylatiuk, Pierfilippo Cerretti, Rudolf Meier

Abstract read
In one paragraph

Article in Molecular ecology resources, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

7 authors.

Aleida AscenziDepartment of Biology and Biotechnologies "Charles Darwin", Sapienza University of Rome, Rome, Italy.ORCID https://orcid.org/0009-0001-3056-2966
Lorenz WührlInstitute for Automation and Applied Informatics (IAI), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany.
Vivian FengMuseum für Naturkunde, Center for Integrative Biodiversity Discovery, Leibniz-Institut für Evolutions-Und Biodiversitätsforschung, Berlin, Germany.
Nathalie KlugInstitute for Automation and Applied Informatics (IAI), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany.
Christian PylatiukInstitute for Automation and Applied Informatics (IAI), Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany.
Pierfilippo CerrettiDepartment of Biology and Biotechnologies "Charles Darwin", Sapienza University of Rome, Rome, Italy.
Rudolf MeierMuseum für Naturkunde, Center for Integrative Biodiversity Discovery, Leibniz-Institut für Evolutions-Und Biodiversitätsforschung, Berlin, Germany.

Funding

Ministero dell'Università e della Ricerca, Programma Operativo Nazionale B85F21005360001
6 · The paper itself

Abstract

Widespread insect decline necessitates the development and use of standardized protocols for regular monitoring. These methods have to be rapid, efficient and cost-effective to allow for large-scale implementation. Many insect sampling and molecular methods have been developed. These include Malaise trapping, high-throughput DNA barcoding ('megabarcoding') and metabarcoding. The latter allows for assessing the species diversity in whole samples using few steps, but sample heterogeneity in terms of body size remains a challenge since large insects contribute disproportionately more mtDNA than small ones. This can potentially overwhelm the template DNA from small species that then go undetected. Size-sorting can mitigate this problem, but no satisfying automated, rapid and non-destructive solutions are available. We introduce the EntoSieve, a low-cost and DIY motorized instrument that disentangles and sorts abundant insect bulk samples into several body size fractions while minimizing damage to specimens, thus reducing the risk of DNA contamination across size fractions (e.g. legs of large specimens in small body size fraction). EntoSieve utilizes readily available components, 3D-printed parts and customizable meshes, thus enabling parallelization at low cost. We here show the efficiency of the EntoSieve for three samples with more than 10,000 specimens using three sieving protocols and assess the impact on specimen integrity. Efficiency ranged from 92% to 99%, achieved within 18-60 min, and specimen damage was not significant for subsamples. By facilitating rapid pre-processing, the device contributes to producing morphologically valuable vouchers for megabarcoding and is likely to improve compositional diversity accuracy across size classes when using metabarcoding.

Indexed as

DNA Barcoding, TaxonomicEntomologyInsectaSpecimen HandlingAnimalsAutomationBody Sizebiomass biasbulk samplesDNA barcodinginsect biodiversitysequence recovery

Identifiers

PMID40066677
PMCPMC12225705

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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.