Evidence map›Paper›PMID 35681800›Full record

ArticleAnimals : an open access journal from MDPI2022

A 20-SNP Panel as a Tool for Genetic Authentication and Traceability of Pig Breeds.

Riccardo Moretti, Andrea Criscione, Federica Turri, Salvatore Bordonaro, Donata Marletta, Bianca Castiglioni, Stefania Chessa

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2022. 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

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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. Article
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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

7 authors.

Riccardo MorettiDepartment of Veterinary Science, University of Turin, 10095 Turin, Italy.ORCID 0000-0001-7758-3417
Andrea CriscioneDepartment of Agriculture, Food and Environment, University of Catania, 95131 Catania, Italy.ORCID 0000-0002-6701-1906
Federica TurriInstitute of Agricultural Biology and Biotechnology, National Research Council, 26900 Lodi, Italy.ORCID 0000-0003-2876-999X
Salvatore BordonaroDepartment of Agriculture, Food and Environment, University of Catania, 95131 Catania, Italy.ORCID 0000-0002-8723-9457
Donata MarlettaDepartment of Agriculture, Food and Environment, University of Catania, 95131 Catania, Italy.ORCID 0000-0002-8408-7443
Bianca CastiglioniInstitute of Agricultural Biology and Biotechnology, National Research Council, 26900 Lodi, Italy.ORCID 0000-0003-2326-6701
Stefania ChessaDepartment of Veterinary Science, University of Turin, 10095 Turin, Italy.ORCID 0000-0001-9720-5982

Funding

This study was supported by the Italian Ministry of Economy and Finance to the Italian National Research Council for the project "Innovazione e Sviluppo del Mezzogiorno - Conoscenze Inte-grate per Sostenibilità ed Innovazione del Made in Italy Agroalimentare (CISIA)"
6 · The paper itself

Abstract

Food authentication in local breeds has important implications from both an economic and a qualitative point of view. Meat products from autochthonous breeds are of premium value, but can easily incur fraudulent or accidental substitution or mislabeling. The aim of this study was to identify a small number of SNPs using the Illumina PorcineSNP60 BeadChip for breed traceability, in particular of the Italian Nero Siciliano pig and its derived products. A panel of 12 SNPs was sufficient to discriminate Nero Siciliano pig from cosmopolitan breeds and wild boars. After adding 8 SNPs, the final panel of 20 SNPs allowed us to discriminate all the breeds involved in the study, to correctly assign each individual to its breed, and, moreover, to discriminate Nero Siciliano from first-generation hybrids. Almost all livestock breeds are being genotyped with medium- or high-density SNP panels, providing a large amount of information for many applications. Here, we proposed a method to select a reduced SNP panel to be used for the traceability of pig breeds.

Indexed as

molecular markerspig breedsSNPtraceability

Identifiers

PMID35681800
PMCPMC9179885

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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.