Evidence map›Paper›PMID 25786896›Full record

ArticleMicrobes and environments2015

A Comprehensive, Automatically Updated Fungal ITS Sequence Dataset for Reference-Based Chimera Control in Environmental Sequencing Efforts.

R Henrik Nilsson, Leho Tedersoo, Martin Ryberg, Erik Kristiansson, Martin Hartmann, Martin Unterseher, Teresita M Porter, Johan Bengtsson-Palme, Donald M Walker, Filipe de Sousa and 6 more

Abstract read
In one paragraph

Article in Microbes and environments, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers.

0numbers the graph read from it
0cells of the map it votes in
106citing 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

106 citing papers in PubMed.

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46 more citing papers are in PubMed but not listed here.

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

16 authors.

R Henrik NilssonDepartment of Biological and Environmental Sciences, University of Gothenburg.
Leho Tedersoo
Martin Ryberg
Erik Kristiansson
Martin Hartmann
Martin Unterseher
Teresita M Porter
Johan Bengtsson-Palme
Donald M Walker
Filipe de Sousa
Hannes Andres Gamper
Ellen Larsson
Karl-Henrik Larsson
Urmas Kõljalg
Robert C Edgar
Kessy Abarenkov

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The nuclear ribosomal internal transcribed spacer (ITS) region is the most commonly chosen genetic marker for the molecular identification of fungi in environmental sequencing and molecular ecology studies. Several analytical issues complicate such efforts, one of which is the formation of chimeric-artificially joined-DNA sequences during PCR amplification or sequence assembly. Several software tools are currently available for chimera detection, but rely to various degrees on the presence of a chimera-free reference dataset for optimal performance. However, no such dataset is available for use with the fungal ITS region. This study introduces a comprehensive, automatically updated reference dataset for fungal ITS sequences based on the UNITE database for the molecular identification of fungi. This dataset supports chimera detection throughout the fungal kingdom and for full-length ITS sequences as well as partial (ITS1 or ITS2 only) datasets. The performance of the dataset on a large set of artificial chimeras was above 99.5%, and we subsequently used the dataset to remove nearly 1,000 compromised fungal ITS sequences from public circulation. The dataset is available at http://unite.ut.ee/repository.php and is subject to web-based third-party curation.

Indexed as

ArtifactsEnvironmental MicrobiologySequence Analysis, DNADNA, FungalDNA, Ribosomal SpacerFungiMetagenomicsReference StandardsDNA, FungalDNA, Ribosomal Spacer

Identifiers

PMID25786896
PMCPMC4462924

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LicenceCC BY
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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.