Evidence map›Paper›PMID 26807711›Full record

ArticlePloS one2016

Towards Plant Species Identification in Complex Samples: A Bioinformatics Pipeline for the Identification of Novel Nuclear Barcode Candidates.

Alexandre Angers-Loustau, Mauro Petrillo, Valentina Paracchini, Dafni M Kagkli, Patricia E Rischitor, Antonio Puertas Gallardo, Alex Patak, Maddalena Querci, Joachim Kreysa

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
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

9 authors.

Alexandre Angers-LoustauMolecular Biology and Genomic Unit, Institute for Health and Consumer Protection, Joint Research Center, European Commission, Ispra, Italy.
Mauro PetrilloMolecular Biology and Genomic Unit, Institute for Health and Consumer Protection, Joint Research Center, European Commission, Ispra, Italy.
Valentina ParacchiniMolecular Biology and Genomic Unit, Institute for Health and Consumer Protection, Joint Research Center, European Commission, Ispra, Italy.
Dafni M KagkliMolecular Biology and Genomic Unit, Institute for Health and Consumer Protection, Joint Research Center, European Commission, Ispra, Italy.
Patricia E RischitorMolecular Biology and Genomic Unit, Institute for Health and Consumer Protection, Joint Research Center, European Commission, Ispra, Italy.
Antonio Puertas GallardoMolecular Biology and Genomic Unit, Institute for Health and Consumer Protection, Joint Research Center, European Commission, Ispra, Italy.
Alex PatakMolecular Biology and Genomic Unit, Institute for Health and Consumer Protection, Joint Research Center, European Commission, Ispra, Italy.
Maddalena QuerciMolecular Biology and Genomic Unit, Institute for Health and Consumer Protection, Joint Research Center, European Commission, Ispra, Italy.
Joachim KreysaMolecular Biology and Genomic Unit, Institute for Health and Consumer Protection, Joint Research Center, European Commission, Ispra, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monitoring of the food chain to fight fraud and protect consumer health relies on the availability of methods to correctly identify the species present in samples, for which DNA barcoding is a promising candidate. The nuclear genome is a rich potential source of barcode targets, but has been relatively unexploited until now. Here, we show the development and use of a bioinformatics pipeline that processes available genome sequences to automatically screen large numbers of input candidates, identifies novel nuclear barcode targets and designs associated primer pairs, according to a specific set of requirements. We applied this pipeline to identify novel barcodes for plant species, a kingdom for which the currently available solutions are known to be insufficient. We tested one of the identified primer pairs and show its capability to correctly identify the plant species in simple and complex samples, validating the output of our approach.

Indexed as

DNA Barcoding, TaxonomicComputational BiologyDNA, PlantDNA PrimersPlantsDNA, PlantDNA Primers

Identifiers

PMID26807711
PMCPMC4725681

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.