Varietal identification in pasta through an SSR-based approach: a case study.
SSR
durum wheat
molecular traceability
pasta
varietal identification
Journal
Journal of the science of food and agriculture
ISSN: 1097-0010
Titre abrégé: J Sci Food Agric
Pays: England
ID NLM: 0376334
Informations de publication
Date de publication:
30 Aug 2023
30 Aug 2023
Historique:
revised:
03
04
2023
received:
18
01
2023
accepted:
14
04
2023
medline:
3
7
2023
pubmed:
15
4
2023
entrez:
14
4
2023
Statut:
ppublish
Résumé
Pasta is a worldwide popular Italian food made exclusively of durum wheat. The choice of variety to be used to produce pasta is at the discretion of the producer based on the peculiar characteristics of each cultivar. The availability of analytical approaches for the tracking of specific varieties along the productive chain is becoming increasingly important to authenticate the pasta products and distinguish between fraudulent activities and cross-contaminations during the production process. Among the different methods, molecular approaches based on DNA markers are the most used for these purposes because of their ease of use and high reproducibility. In the present study, we used an easy simple sequence repeats-based method to identify the durum wheat varieties used to produce 25 samples of semolina and commercial pasta comparing their molecular profile with those of the four varieties declared by the producer and other 10 durum wheat cultivars commonly used in pasta production. All of the samples showed the expected molecular profile; however, most of them present also a foreign allele indicating a possible cross-contamination. Moreover, we evaluated the accuracy of the proposed approach through the analysis of 27 hand-made mixtures with increasing amounts of a specific contaminant variety, allowing the estimation of the limit of detection of 5% (w/w). We demonstrated the feasibility of the proposed method and its effectiveness in the detection of not declared varieties when these are present in a percentage equal to or higher than 5%. © 2023 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
Sections du résumé
BACKGROUND
BACKGROUND
Pasta is a worldwide popular Italian food made exclusively of durum wheat. The choice of variety to be used to produce pasta is at the discretion of the producer based on the peculiar characteristics of each cultivar. The availability of analytical approaches for the tracking of specific varieties along the productive chain is becoming increasingly important to authenticate the pasta products and distinguish between fraudulent activities and cross-contaminations during the production process. Among the different methods, molecular approaches based on DNA markers are the most used for these purposes because of their ease of use and high reproducibility.
RESULTS
RESULTS
In the present study, we used an easy simple sequence repeats-based method to identify the durum wheat varieties used to produce 25 samples of semolina and commercial pasta comparing their molecular profile with those of the four varieties declared by the producer and other 10 durum wheat cultivars commonly used in pasta production. All of the samples showed the expected molecular profile; however, most of them present also a foreign allele indicating a possible cross-contamination. Moreover, we evaluated the accuracy of the proposed approach through the analysis of 27 hand-made mixtures with increasing amounts of a specific contaminant variety, allowing the estimation of the limit of detection of 5% (w/w).
CONCLUSION
CONCLUSIONS
We demonstrated the feasibility of the proposed method and its effectiveness in the detection of not declared varieties when these are present in a percentage equal to or higher than 5%. © 2023 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
5521-5528Subventions
Organisme : Agritech National Research Center funded by the European Union Next-GenerationEU (PIANO NAZIONALE DI RIPRESA E RESILIENZA (PNRR)-MISSIONE 4 COMPONENTE 2, INVESTIMENTO 1.4-D.D. 1032 17/06/2022, CN00000022)
Organisme : MIUR-PON Ricerca e Innovazione 2014-2020 (project AIM1809249-attività 2, linea 1).
Informations de copyright
© 2023 The Authors. Journal of The Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
Références
De Vita P and Taranto F, Durum wheat (Triticum turgidum ssp. durum) breeding to meet the challenge of climate change, in Advances in Plant Breeding Strategies: Cereals, ed. by Al-Khayri J, Jain SM and Johnson DV. Springer Nature, Switzerland, Cham, pp. 471-524 (2019).
Italian Republic President Decree 9th February 2001, n. 187. Available: https://www.gazzettaufficiale.it/atto/serie_generale/caricaDettaglioAtto/originario?atto.dataPubblicazioneGazzetta=2001-0522&atto.codiceRedazionale=001A5636&elenco30giorni=false.
Italian Republic President Decree 5th March 2013, n. 41. Available: https://www.politicheagricole.it/flex/cm/pages/ServeBLOB.php/L/IT/IDPagina/6230.
Troccoli A, Borrelli GM, De Vita P, Fares C and Di Fonzo N, Durum wheat quality: a multidisciplinary concept. J Cereal Sci 32:99-113 (2000).
Taranto F, Mangini G, Pasqualone A, Gadaleta A and Blanco A, Mapping and allelic variations of Ppo-B1 and Ppo-B2 gene-related polyphenol oxidase activity in durum wheat. Mol Breed 35:1-10 (2015).
De Santis MA, Giuliani MM, Giuzio L, De Vita P, Lovegrove A, Shewry PR et al., Differences in gluten protein composition between old and modern durum wheat genotypes in relation to 20th century breeding in Italy. Eur J Agron 87:19-29 (2017).
Mefleh M, Conte P, Fadda C, Giunta F, Piga A, Hassoun G et al., From ancient to old and modern durum wheat varieties: interaction among cultivar traits, management, and technological quality. J Sci Food Agric 99:2059-2067 (2019).
Melini V, Melini F and Acquistucci R, Nutritional characterization of an Italian traditional bread from ancient grains: the case study of the durum wheat bread “Pane di Monreale”. Eur Food Res Technol 247:193-200 (2021).
Pasqualone A, Alba V, Mangini G, Blanco A and Montemurro C, Durum wheat cultivar traceability in PDO Altamura bread by analysis of DNA microsatellites. Eur Food Res Technol 230:723-729 (2010).
Visioli G, Giannelli G, Agrimonti C, Spina A and Pasini G, Traceability of Sicilian durum wheat landraces and historical varieties by high molecular weight glutenins footprint. Agronomy 11:143 (2021).
Ianiro G, Rizzatti G, Napoli M, Matteo MV, Rinninella E, Mora V et al., A durum wheat variety-based product is effective in reducing symptoms in patients with non-celiac gluten sensitivity: a double-blind randomized cross-over trial. Nutrients 11:712 (2019).
Italian Criminal Code, Article n. 515 (Frode nell'esercizio del commercio). Available: https://www.altalex.com/documents/codici-altalex/2014/10/30/codice-penale.
Wadood SA, Boli G, Xiaowen Z, Hussain I and Yimin W, Recent development in the application of analytical techniques for the traceability and authenticity of food of plant origin. Microchem J 152:104295 (2020).
Pasqualone A, Di Rienzo V, Nasti R, Blanco A, Gomes T and Montemurro C, Traceability of Italian protected designation of origin (PDO) table olives by means of microsatellite molecular markers. J Agric Food Chem 61:3068-3073 (2013).
Cibecchini G, Cecere P, Tumino G, Morcia C, Ghizzoni R, Carnevali P et al., A fast, naked-eye assay for varietal traceability in the durum wheat production chain. Foods 9:1691 (2020).
Fanelli V, Mascio I, Miazzi MM, Savoia MA, De Giovanni C and Montemurro C, Molecular approaches to agri-food traceability and authentication: an updated review. Foods 10:1644 (2021).
Kumar P, Gupta V, Misra A, Modi D and Pandey B, Potential of molecular markers in plant biotechnology. Plant Omics 4:141-162 (2009).
Ganopoulos I, Argiriou A and Tsaftaris A, Microsatellite high resolution melting (SSR-HRM) analysis for authenticity testing of protected designation of origin (PDO) sweet cherry products. Food Control 22:532-541 (2011).
Di Rienzo V, Fanelli V, Miazzi MM, Savino V, Pasqualone A, Summo C et al., A reliable analytical procedure to discover table grape DNA adulteration in industrial wines and musts. Acta Hortic 1188:365-370 (2017).
Sabetta W, Miazzi MM, Di Rienzo V, Pasqualone A and Montemurro C, Development and application of protocols to certify the authenticity and traceability of Apulian typical products in olive sector. Riv Ital Sostanze Grasse 94:37-43 (2017).
Gomes S, Breia R, Carvalho T, Carnide V and Martins-Lopes P, Microsatellite high-resolution melting (SSR-HRM) to track olive genotypes: from field to olive oil. J Food Sci 83:2415-2423 (2018).
Crawford LM, Carrasquilla-Garcia N, Cook D and Wang SC, Analysis of microsatellites (SSRs) in processed olives as a means of cultivar traceability and authentication. J Agric Food Chem 68:1110-1117 (2020).
Piarulli L, Savoia MA, Taranto F, D'Agostino N, Sardaro R, Girone S et al., A robust DNA isolation protocol from filtered commercial olive oil for PCR-based fingerprinting. Foods 8:462 (2019).
Pasqualone A, Montemurro C, Grinn-Gofron A, Sonnante G and Blanco A, Detection of soft wheat in semolina and durum wheat bread by analysis of DNA microsatellites. J Agric Food Chem 55:3312-3318 (2007).
Sonnante G, Montemurro C, Morgese A, Sabetta W, Blanco A and Pasqualone A, DNA microsatellite region for a reliable quantification of soft wheat adulteration in durum wheat-based foodstuffs by real-time PCR. J Agric Food Chem 57:10199-10204 (2009).
Carloni E, Amagliani G, Omiccioli E, Ceppetelli V, Del Mastro M, Rotundo L et al., Validation and application of a quantitative real-time PCR assay to detect common wheat adulteration of durum wheat for pasta production. Food Chem 224:86-91 (2017).
Morcia C, Bergami R, Scaramagli S, Ghizzoni R, Carnevali P and Terzi V, A Chip Digital PCR assay for quantification of common wheat contamination in pasta production chain. Foods 9:911 (2020).
Morcia C, Terzi V, Ghizzoni R, Vaiuso C, Delogu C, Andreani L et al., Digital PCR for genotype quantification: a case study in a pasta production chain. Biology 10:419 (2021).
Gaggiotti S, Shkembi B, Sacchetti G and Compagnone D, Study on volatile markers of pasta quality using GC-MS and a peptide-based gas sensor array. LWT-Food Sci Technol 114:108364 (2019).
Sharp PJ, Kreis M, Shewry PR and Gale MD, Location of β-amylases sequences in wheat and its relatives. Theor Appl Genet 75:286-290 (1988).
Röder MS, Korzun V, Wendehake K, Plaschke J, Tixier MH, Leroy P et al., A microsatellite map of wheat. Genetics 149:2007-2023 (1998).
Eujayl I, Sorrells ME, Baum M, Wolters P and Powell W, Isolation of EST-derived microsatellite markers for genotyping the A and B genomes of wheat. Theor Appl Genet 104:399-407 (2002).
Salina EA, Leonova IN, Efremova TT and Röder MS, Wheat genome structure: translocations during the course of polyploidization. Funct Integr Genomics 6:71-80 (2006).
Broeders S, Huberb I, Grohmann L, Berben G, Taverniers I, Mazzara M et al., Guidelines for validation of qualitative real-time PCR methods. Trends Food Sci Technol 37:115-126 (2014).
Maccaferri M, Stefanelli S, Rotondo F, Tuberosa R and Sanguineti MC, Relationships among durum wheat accessions. I. Comparative analysis of SSR, AFLP, and phenotypic data. Genome 50:373-384 (2007).
Laidò G, Mangini G, Taranto F, Gadaleta A, Blanco A, Cattivelli L et al., Genetic diversity and population structure of tetraploid wheats (Triticum turgidum L.) estimated by SSR, DArT and pedigree data. PLoS One 8:e67280 (2013).
Uddin MS and Boerner A, Genetic diversity in hexaploid and tetraploid wheat genotypes using microsatellite markers. Plant Tissue Cult Biotechnol 18:65-73 (2008).
El-Rawy MA, Assessment of genetic diversity for some Egyptian wheat varieties based on morphological characters and SSR markers. Sci J Agric Sci 2:144-160 (2020).
Ramos-Cabrer AM, Fernández-Canto N, Almeida-García F, Gorostidi A, Lombardero-Fernández M, Romero-Rodríguez MÁ et al., Traceability of the local cultivar ‘Caaveiro’ in flour mixtures used to produce Galician bread by simple sequence repeats and droplet digital polymerase chain reaction technology. Int J Food Sci 57:7085-7098 (2022).
Kill RC and Turnbull K eds, Pasta and Semolina Technology. Wiley, Hoboken, NJ (2008).
Recupero M, Garino C, De Paolis A, Cereti E, Coisson JD, Travaglia F et al., A method to check and discover adulteration of Nebbiolo-based Monovarietal musts: detection of Barbera and Dolcetto cv via SSR analysis coupled with lab-on-Chip® microcapillary electrophoresis. Food Anal Methods 6:952-962 (2013).
Di Rienzo V, Miazzi MM, Fanelli V, Savino V, Pollastro S, Colucci F et al., An enhanced analytical procedure to discover table grape DNA adulteration in industrial musts. Food Control 60:124-130 (2016).
Chedid E, Rizou M and Kalaitzis P, Application of high-resolution melting combined with DNA-based markers for quantitative analysis of olive oil authenticity and adulteration. Food Chem: X 6:100082 (2020).