Application of Microsatellites to Trace the Dairy Products Back to the Farm of Origin.

STR dairy products genetic traceability

Journal

Foods (Basel, Switzerland)
ISSN: 2304-8158
Titre abrégé: Foods
Pays: Switzerland
ID NLM: 101670569

Informations de publication

Date de publication:
15 Nov 2023
Historique:
received: 19 10 2023
revised: 07 11 2023
accepted: 13 11 2023
medline: 25 11 2023
pubmed: 25 11 2023
entrez: 25 11 2023
Statut: epublish

Résumé

The increasing number of food frauds, mainly targeting high quality products, is a rising concern among producers and authorities appointed to food controls. Therefore, the development or implementation of methods to reveal frauds is desired. The genetic traceability of traditional or high-quality dairy products (i.e., products of protected designation of origin, PDO) represents a challenging issue due to the technical problems that arise. The aim of the study was to set up a genetic tool for the origin traceability of dairy products. We investigated the use of Short Tandem Repeats (STRs) to assign milk and cheese to the corresponding producer. Two farms were included in the study, and the blood of the cows, bulk milk, and derived cheese were sampled monthly for one year. Twenty STRs were selected and Polymerase Chain Reactions for each locus were carried out. The results showed that bulk milk and derived cheese express an STR profile composed of a subset of STRs of the lactating animals. A bioinformatics tool was used for the exclusion analysis. The study allowed the identification of a panel of 20 markers useful for the traceability of milk and cheeses, and its effectiveness in the traceability of dairy products obtained from small producers was demonstrated.

Identifiants

pubmed: 38002189
pii: foods12224131
doi: 10.3390/foods12224131
pmc: PMC10670529
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Italian Ministry of Health
ID : IZS PLV 02/11 RC

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Auteurs

Simona Perga (S)

Istituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, 10154 Turin, Italy.

Cristina Biolatti (C)

Istituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, 10154 Turin, Italy.

Isabella Martini (I)

Istituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, 10154 Turin, Italy.

Francesco Rossi (F)

Computer and Control Engineering Department, Polytechnic of Turin, 10100 Turin, Italy.

Alfredo Benso (A)

Computer and Control Engineering Department, Polytechnic of Turin, 10100 Turin, Italy.

Pier Luigi Acutis (PL)

Istituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, 10154 Turin, Italy.

Alessandro Bagnato (A)

Department of Veterinary and Animal Science, Università degli Studi di Milano, 26900 Lodi, Italy.

Domenico Cognata (D)

Azienda Sanitaria Locale BI, 13900 Biella, Italy.

Piero Caroggio (P)

Azienda Sanitaria Locale 1 Imperiese, 18100 Imperia, Italy.

Simone Peletto (S)

Istituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, 10154 Turin, Italy.

Paola Modesto (P)

Istituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, 10154 Turin, Italy.

Classifications MeSH