Evidence map›Paper›PMID 24516555›Full record

ArticlePloS one2014

Characterization of the 18S rRNA gene for designing universal eukaryote specific primers.

Kenan Hadziavdic, Katrine Lekang, Anders Lanzen, Inge Jonassen, Eric M Thompson, Christofer Troedsson

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 185 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
185citing papers in PubMed, 1 pooled it
22.3field-weighted citation impact, top 1% of its field
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

185 citing papers in PubMed, 1 synthesis or guideline pooled it, 506 citations in OpenAlex.

  1. Pooled it
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125 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

6 authors at 3 institutions in 2 countries.

Kenan HadziavdicDepartment of Biology, University of Bergen, Bergen, Norway.
Katrine LekangDepartment of Biology, University of Bergen, Bergen, Norway.
Anders LanzenDepartment of Biology, University of Bergen, Bergen, Norway ; Uni Computing, Uni Research AS, Bergen, Norway ; Department of Ecology and Natural Resources, NEIKER-Tecnalia, Derio, Spain.
Inge JonassenUni Computing, Uni Research AS, Bergen, Norway ; Department of Informatics, University of Bergen, Bergen, Norway.
Eric M ThompsonDepartment of Biology, University of Bergen, Bergen, Norway ; Sars International Centre for Marine Molecular Biology, University of Bergen, Bergen, Norway.
Christofer TroedssonUni Environment, Uni Research AS, Bergen, Norway.
University of Bergen · NOUni Research (Norway) · NONEIKER, the Basque Institute for Agricultural Research and Development · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High throughput sequencing technology has great promise for biodiversity studies. However, an underlying assumption is that the primers used in these studies are universal for the prokaryotic or eukaryotic groups of interest. Full primer universality is difficult or impossible to achieve and studies using different primer sets make biodiversity comparisons problematic. The aim of this study was to design and optimize universal eukaryotic primers that could be used as a standard in future biodiversity studies. Using the alignment of all eukaryotic sequences from the publicly available SILVA database, we generated a full characterization of variable versus conserved regions in the 18S rRNA gene. All variable regions within this gene were analyzed and our results suggested that the V2, V4 and V9 regions were best suited for biodiversity assessments. Previously published universal eukaryotic primers as well as a number of self-designed primers were mapped to the alignment. Primer selection will depend on sequencing technology used, and this study focused on the 454 pyrosequencing GS FLX Titanium platform. The results generated a primer pair yielding theoretical matches to 80% of the eukaryotic and 0% of the prokaryotic sequences in the SILVA database. An empirical test of marine sediments using the AmpliconNoise pipeline for analysis of the high throughput sequencing data yielded amplification of sequences for 71% of all eukaryotic phyla with no isolation of prokaryotic sequences. To our knowledge this is the first characterization of the complete 18S rRNA gene using all eukaryotes present in the SILVA database, providing a robust test for universal eukaryotic primers. Since both in silico and empirical tests using high throughput sequencing retained high inclusion of eukaryotic phyla and exclusion of prokaryotes, we conclude that these primers are well suited for assessing eukaryote diversity, and can be used as a standard in biodiversity studies.

Indexed as

Eukaryotic CellsBiodiversityDNA PrimersEukaryotaHigh-Throughput Nucleotide SequencingPhylogenyRNA, Ribosomal, 18SDNA PrimersRNA, Ribosomal, 18S

Identifiers

PMID24516555
PMCPMC3917833
OpenAlexW2016866428

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.