Evidence map›Paper›PMID 32016319›Full record

ArticleDatabase : the journal of biological databases and curation2020

PLANiTS: a curated sequence reference dataset for plant ITS DNA metabarcoding.

Elisa Banchi, Claudio G Ametrano, Samuele Greco, David Stanković, Lucia Muggia, Alberto Pallavicini

Abstract readDataset
In one paragraph

Article in Database : the journal of biological databases and curation, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 56 papers.

0numbers the graph read from it
0cells of the map it votes in
56citing 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

56 citing papers in PubMed.

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  3. Real-time PCR to targetFood chemistry. Molecular sciences · 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

6 authors.

Elisa BanchiDepartment of Life Sciences, University of Trieste, via Giorgieri 5, 34127, Trieste, Italy.
Claudio G AmetranoDepartment of Life Sciences, University of Trieste, via Giorgieri 5, 34127, Trieste, Italy.
Samuele GrecoDepartment of Life Sciences, University of Trieste, via Giorgieri 5, 34127, Trieste, Italy.
David StankovićDepartment of Life Sciences, University of Trieste, via Giorgieri 5, 34127, Trieste, Italy.
Lucia MuggiaDepartment of Life Sciences, University of Trieste, via Giorgieri 5, 34127, Trieste, Italy.
Alberto PallaviciniDepartment of Life Sciences, University of Trieste, via Giorgieri 5, 34127, Trieste, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA metabarcoding combines DNA barcoding with high-throughput sequencing to identify different taxa within environmental communities. The ITS has already been proposed and widely used as universal barcode marker for plants, but a comprehensive, updated and accurate reference dataset of plant ITS sequences has not been available so far. Here, we constructed reference datasets of Viridiplantae ITS1, ITS2 and entire ITS sequences including both Chlorophyta and Streptophyta. The sequences were retrieved from NCBI, and the ITS region was extracted. The sequences underwent identity check to remove misidentified records and were clustered at 99% identity to reduce redundancy and computational effort. For this step, we developed a script called 'better clustering for QIIME' (bc4q) to ensure that the representative sequences are chosen according to the composition of the cluster at a different taxonomic level. The three datasets obtained with the bc4q script are PLANiTS1 (100 224 sequences), PLANiTS2 (96 771 sequences) and PLANiTS (97 550 sequences), and all are pre-formatted for QIIME, being this the most used bioinformatic pipeline for metabarcoding analysis. Being curated and updated reference databases, PLANiTS1, PLANiTS2 and PLANiTS are proposed as a reliable, pivotal first step for a general standardization of plant DNA metabarcoding studies. The bc4q script is presented as a new tool useful in each research dealing with sequences clustering. Database URL: https://github.com/apallavicini/bc4q; https://github.com/apallavicini/PLANiTS.

Indexed as

DNA Barcoding, TaxonomicDatabases, GeneticDNA, IntergenicDNA, PlantPlantsDNA, IntergenicDNA, Plant

Identifiers

PMID32016319
PMCPMC6997939

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.