Evidence map›Paper›PMID 35796594›Full record

ArticleDatabase : the journal of biological databases and curation2022

Curation of a reference database of COI sequences for insect identification through DNA metabarcoding: COins.

Giulia Magoga, Giobbe Forni, Matteo Brunetti, Aycan Meral, Alberto Spada, Alessio De Biase, Matteo Montagna

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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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

13 citing papers in PubMed.

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  8. Filling knowledge gaps in insect conservation by leveraging genetic data from public archives.Database : the journal of biological databases and curation · 2024
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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

7 authors.

Giulia MagogaDepartment of Agricultural and Environmental Sciences, University of Milan, Via Celoria 2, Milano 20133, Italy.ORCID 0000-0002-0662-5840
Giobbe ForniDepartment of Agricultural and Environmental Sciences, University of Milan, Via Celoria 2, Milano 20133, Italy.
Matteo BrunettiDepartment of Agricultural and Environmental Sciences, University of Milan, Via Celoria 2, Milano 20133, Italy.
Aycan MeralDepartment of Agricultural and Environmental Sciences, University of Milan, Via Celoria 2, Milano 20133, Italy.
Alberto SpadaDepartment of Agricultural and Environmental Sciences, University of Milan, Via Celoria 2, Milano 20133, Italy.
Alessio De BiaseDepartment of Biology and Biotechnology 'Charles Darwin', Sapienza University of Rome, Viale dell'Università 32, Rome 00185, Italy.
Matteo MontagnaDepartment of Agricultural Sciences, University of Naples Federico II, Via Università 100, Portici 80055, Italy.ORCID 0000-0003-4465-7146

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA metabarcoding is a widespread approach for the molecular identification of organisms. While the associated wet-lab and data processing procedures are well established and highly efficient, the reference databases for taxonomic assignment can be implemented to improve the accuracy of identifications. Insects are among the organisms for which DNA-based identification is most commonly used; yet, a DNA-metabarcoding reference database specifically curated for their species identification using software requiring local databases is lacking. Here, we present COins, a database of 5' region cytochrome c oxidase subunit I sequences (COI-5P) of insects that includes over 532 000 representative sequences of >106 000 species specifically formatted for the QIIME2 software platform. Through a combination of automated and manually curated steps, we developed this database starting from all COI sequences available in the Barcode of Life Data System for insects, focusing on sequences that comply with several standards, including a species-level identification. COins was validated on previously published DNA-metabarcoding sequences data (bulk samples from Malaise traps) and its efficiency compared with other publicly available reference databases (not specific for insects). COins can allow an increase of up to 30% of species-level identifications and thus can represent a valuable resource for the taxonomic assignment of insects' DNA-metabarcoding data, especially when species-level identification is needed https://doi.org/10.6084/m9.figshare.19130465.v1.

Indexed as

DNA Barcoding, TaxonomicNumismaticsAnimalsDatabases, Nucleic AcidDNAInsectaDNA

Identifiers

PMID35796594
PMCPMC9261288

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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.