Evidence map›Paper›PMID 21930509›Full record

ArticleNucleic acids research2011

ecoPrimers: inference of new DNA barcode markers from whole genome sequence analysis.

Tiayyba Riaz, Wasim Shehzad, Alain Viari, François Pompanon, Pierre Taberlet, Eric Coissac

Abstract readValidation Study
In one paragraph

Article in Nucleic acids research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 218 papers.

0numbers the graph read from it
0cells of the map it votes in
218citing 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

218 citing papers in PubMed.

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  17. Diet and Prey Preference of Tigers (Ecology and evolution · 2026
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158 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.

Tiayyba RiazLaboratoire d'Ecologie Alpine, CNRS UMR 5553 2233, Université Joseph Fourrier, BP 53, 38041 Grenoble Cedex-9, France.
Wasim Shehzad
Alain Viari
François Pompanon
Pierre Taberlet
Eric Coissac

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using non-conventional markers, DNA metabarcoding allows biodiversity assessment from complex substrates. In this article, we present ecoPrimers, a software for identifying new barcode markers and their associated PCR primers. ecoPrimers scans whole genomes to find such markers without a priori knowledge. ecoPrimers optimizes two quality indices measuring taxonomical range and discrimination to select the most efficient markers from a set of reference sequences, according to specific experimental constraints such as marker length or specifically targeted taxa. The key step of the algorithm is the identification of conserved regions among reference sequences for anchoring primers. We propose an efficient algorithm based on data mining, that allows the analysis of huge sets of sequences. We evaluate the efficiency of ecoPrimers by running it on three different sequence sets: mitochondrial, chloroplast and bacterial genomes. Identified barcode markers correspond either to barcode regions already in use for plants or animals, or to new potential barcodes. Results from empirical experiments carried out on a promising new barcode for analyzing vertebrate diversity fully agree with expectations based on bioinformatics analysis. These tests demonstrate the efficiency of ecoPrimers for inferring new barcodes fitting with diverse experimental contexts. ecoPrimers is available as an open source project at: http://www.grenoble.prabi.fr/trac/ecoPrimers.

Indexed as

DNA PrimersSoftwareAlgorithmsAnimalsData MiningDNA Barcoding, TaxonomicGenetic MarkersGenome, BacterialGenome, ChloroplastGenome, MitochondrialGenomicsPolymerase Chain ReactionVertebratesDNA PrimersGenetic Markers

Identifiers

PMID21930509
PMCPMC3241669

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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.