Evidence map›Paper›PMID 34065065›Full record

ArticleBiology2021

Digital PCR for Genotype Quantification: A Case Study in a Pasta Production Chain.

Caterina Morcia, Valeria Terzi, Roberta Ghizzoni, Chiara Vaiuso, Chiara Delogu, Lorella Andreani, Andrea Venturini, Paola Carnevali, Pier Paolo Pompa, Giorgio Tumino

Abstract read
In one paragraph

Article in Biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Digital PCR for the Authentication of KAMUTFoods (Basel, Switzerland) · 2026
    Article
  2. Article
  3. 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

10 authors.

Caterina MorciaConsiglio per la ricerca in agricoltura e l'analisi dell'economia agraria-Centro di Ricerca Genomica e Bioinformatica (CREA-GB), Via San Protaso 302, 29017 Fiorenzuola d'Arda, Italy.ORCID 0000-0001-5316-7435
Valeria TerziConsiglio per la ricerca in agricoltura e l'analisi dell'economia agraria-Centro di Ricerca Genomica e Bioinformatica (CREA-GB), Via San Protaso 302, 29017 Fiorenzuola d'Arda, Italy.ORCID 0000-0002-8006-6805
Roberta GhizzoniConsiglio per la ricerca in agricoltura e l'analisi dell'economia agraria-Centro di Ricerca Genomica e Bioinformatica (CREA-GB), Via San Protaso 302, 29017 Fiorenzuola d'Arda, Italy.
Chiara VaiusoConsiglio per la ricerca in agricoltura e l'analisi dell'economia agraria-Centro di Ricerca Genomica e Bioinformatica (CREA-GB), Via San Protaso 302, 29017 Fiorenzuola d'Arda, Italy.
Chiara DeloguConsiglio per la ricerca in agricoltura e l'analisi dell'economia agraria-Centro di Ricerca Difesa e Certificazione (CREA-DC), Via Emilia km 307, 26838 Tavazzano, Italy.
Lorella AndreaniConsiglio per la ricerca in agricoltura e l'analisi dell'economia agraria-Centro di Ricerca Difesa e Certificazione (CREA-DC), Via Emilia km 307, 26838 Tavazzano, Italy.
Andrea VenturiniConsiglio per la ricerca in agricoltura e l'analisi dell'economia agraria-Centro di Ricerca Difesa e Certificazione (CREA-DC), Via Emilia km 307, 26838 Tavazzano, Italy.
Paola CarnevaliBarilla S.p.A., Via Mantova 166, I-43122 Parma, Italy.
Pier Paolo PompaNanobiointeractions & Nanodiagnostics, Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genova, Italy.ORCID 0000-0001-7549-0612
Giorgio TuminoPlant Breeding, Wageningen University Research, Droevendaalsesteeg 1, 6708PB Wageningen, The Netherlands.ORCID 0000-0002-6505-7652

Funding

Horizon 2020 817970
6 · The paper itself

Abstract

Digital polymerase chain reaction (dPCR) is a breakthrough technology based on the partitioning of the analytical sample and detection of individual end-point amplifications into the separate compartments. Among the numerous applications of this technology, its suitability in mutation detection is relevant and characterized by unprecedented levels of precision. The actual applicability of this analytical technique to quantify the presence of a specific plant genotype, in both raw materials and transformed products, by exploiting a point polymorphism has been evaluated. As proof of concept, an Italian premium pasta production chain was considered and a dPCR assay based on a durum wheat target variety private point mutation was designed and evaluated in supply-chain samples. From the results obtained, the assay can be applied to confirm the presence of a target variety and to quantify it in raw materials and transformed products, such as commercial grain lots and pasta. The performance, costs, and applicability of the assay has been compared to analytical alternatives, namely simple sequence repeats (SSRs) and genotype-by-sequencing based on Diversity Arrays Technology sequencing (DArTseq

Indexed as

allelic discriminationdigital PCR (dPCR)durum wheatgenotype-by-sequencing (GBS)molecular traceabilitypastaprivate allelequantification of varietysimple sequence repeats (SSRs)varietal confirmation

Identifiers

PMID34065065
PMCPMC8151192

What OpenQuestion holds

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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.