Journal of Chemistry

Journal of Chemistry / 2015 / Article

Research Article | Open Access

Volume 2015 |Article ID 496986 |

Cinzia Montemurro, Monica Marilena Miazzi, Antonella Pasqualone, Valentina Fanelli, Wilma Sabetta, Valentina di Rienzo, "Traceability of PDO Olive Oil “Terra di Bari” Using High Resolution Melting", Journal of Chemistry, vol. 2015, Article ID 496986, 7 pages, 2015.

Traceability of PDO Olive Oil “Terra di Bari” Using High Resolution Melting

Academic Editor: Jose A. Pereira
Received29 Dec 2014
Revised16 Mar 2015
Accepted17 Mar 2015
Published29 Mar 2015


The aim of the research was to verify the applicability of microsatellite (SSR) markers in High Resolution Melting (HRM) analysis for the identification of the olive cultivars used in the “Terra di Bari” PDO extra virgin olive oil. A panel of nine cultivars, widespread in Apulia region, was tested with seventeen SSR primer pairs and the PCR products were at first analysed with a Genetic Analyzer automatic sequencer. An identification key was obtained for the nine cultivars, which showed an unambiguous discrimination among the varieties constituting the “Terra di Bari” PDO extra virgin olive oil: Cima di Bitonto, Coratina, and Ogliarola. Subsequently, an SSR based method was set up with the DCA18 marker, coupled with HRM analysis for the distinction of the Terra di Bari olive oil from non-Terra di Bari olive oil using different mixtures. Thus, this analysis enabled the distinction and identification of the PDO mixtures. Hence, this assay provided a flexible, cost-effective, and closed-tube microsatellite genotyping method, well suited to varietal identification and authentication analysis in olive oil.

1. Introduction

The average worldwide production of olive oil has grown steadily in the last years, mainly due to the recommendation of doctors and nutritionists about the benefit of Mediterranean diet, in which olive oil is a key element. Despite the fact that Italy remains one of the main producers of this sector, the total production and consumption of olive oil have undergone a considerable decrease [1]. In this scenario, Apulia is the main oil producing region in Italy [2]. Due to their authenticity, most of the Apulian olive oils obtained the quality marks of Protected Denomination of Origin (PDO) by the European Community, according to the EC Regulation 2081/92. This certification implies the use of specific local cultivars and peculiar sensory features of oil (Official Journal of the European Communities, 1992). Consequently, monitoring the origin of raw material and industrial process becomes of primary importance during the production of a high value PDO product.

The verification of the cultivars used to produce olive oil is becoming of particular interest in the last decade. This fact assumes a strong commercial appeal especially in the protection of high-quality olive oils, such as PDO, which might be adulterated with other low-quality oil using minor or less expensive cultivars [3]. In fact, the quality of olive oil strictly depends on the variety employed for its production and there is a strong link between the cultivar and the territory of cultivation. Several analytical approaches have been developed to help the identification of olive oil cultivars, constituents, and possible adulterants. The compositional markers monitored for traceability purposes are different, such as triglycerides, sterols, fatty acids, phenolic compounds, volatile compounds, pigments, hydrocarbons, and tocopherols [47]. However, all these compositional markers can be severely affected by the environmental conditions during the plant growth, which might cause ambiguous or erroneous results [3]. Since the chemical analyses are not enough for themselves to verify the olive oil authenticity or its varietal identification, other traceability markers based on DNA analysis have been used to identify olive cultivars. In fact DNA, being less influenced by environment and food processing, is the best resource for comparison of different genetic material [810].

In this contest, molecular markers represent an ideal tool to accurately and exclusively characterize olive cultivars by detection of DNA polymorphisms and the establishment of an identification key. To this purpose, microsatellites or Simple Sequence Repeats (SSR) are among the most suitable molecular markers, since they are characterized by a high polymorphism level, due to variations of the repeats number. Moreover, SSR analysis is easy to perform, just implying an amplification with species-specific primer pairs and the subsequent electrophoresis on agarose or acrylamide gels. In particular, microsatellites have been preferred by several authors for variability studies, germplasm characterization, and varietal fingerprinting of numerous species such as wheat [11], rice [12], grape [13], tomato [14], and olive [1518]. SSR markers can allow to determine an unambiguously identification key of the most common Italian monovarietal oils, also thanks to their capacity to detect any “alien” allele [9, 19].

The extra virgin olive oil “Terra di Bari” is one of the most important Italian PDO oils, whose spread on the national market is equal to 13.1% [20]. According to the Ministerial Decree of 4 September 1998, the EC Regulation 2325/97, and the article 17 of EEC Regulation 2081/92, the disciplinary regulations about the production of “Terra di Bari” oil, with “Bitonto” as additional geographical mention, expect that this oil is obtained from the following olive cultivars, in the minimum quantity of 80%, alone or mixed together: Cima di Bitonto or Ogliarola Barese and Coratina (UG n. 227 of 29 September 1998). Thereby, the main aim of the present study was to test the applicability of microsatellite markers for the identification of cultivars constituting the “Terra di Bari” PDO oil.

2. Material and Methods

2.1. Plant Material and DNA Extraction

Nine olive cultivars, diffused in the Apulia Region (Italy), were sampled at the Olive Pre-multiplication Centre field “Conca d’Oro”, Palagiano (Taranto, Italy): Cima di Bitonto, Ogliarola, Coratina, Toscanina, Maiatica, Cellina di Nardò, Nociara, Cima di Mola, and Simone. These cultivars were previously tested for the genetic identity and are considered as certified varieties. The DNA was extracted both from leaves and 9 monovarietal olive oils. The experimental material was enriched with two commercial PDO olive oils used for DNA extraction and HRM analyses. Genomic DNA from leaves was extracted according to Li protocol [21] modified as reported by Sabetta et al., 2011 [22], starting from 30 mg of lyophilized leaves. DNA from monovarietal and commercial olive oils was extracted by means of Gene Elute Plant Kit (Sigma, St. Louis, MO) following the manufacturer’s instructions and the modifications reported in Pasqualone et al. [9]. Cellular residuals were obtained by centrifuging 250 mL of oil at 10,000 rpm for 5 min. The extracted DNA was checked in terms of quality and quantity by means both of 0.8% agarose gel electrophoresis and spectrophotometer (Nanodrop 1000. Thermo Scientific, Waltham, MA, USA) at 260 nm. DNA from lyophilized leaves resulted to have optimal quality and a concentration of 100 ng/μL, whereas DNA extracted from oil had lower concentration (5 ng/μL) and was partially degraded [23].

2.2. SSR Markers Analysis and Genetic Relationship

Seventeen microsatellite primer pairs DCA03, DCA04, DCA18, DCA05, DCA09, DCA13, DCA14, DCA15, DCA16, DCA17 [15] and GAPU103a, GAPU71b, GAPU101, GAPU45 [24], EMOL, EMO90 [25], and UDO43 [26] (Table 1) labelled with FAM or HEX fluorochromes were used in the analysis and the amplification reactions were carried out in a final volume of 25 μL containing the following: 50 ng DNA, 1X PCR buffer, 0.25 mM dNTP, 0.25 μM of each primer, 2.5 mM MgCl2, and 0.06 U Taq Polymerase (Euroclone). The PCRs were carried out in a C1000 thermal cycler (Bio-Rad) and the conditions were set as follows: 5 min at 95°C; 35 cycles consisting of 30 sec at 95°C, 30 sec at the specific annealing temperature, 30 sec at 72°C; 60 min at 72°C for final elongation. The amplification products were separated by capillary electrophoresis on an automated sequencer ABI PRISM 3100 Avant Genetic Analyzer (Applied Biosystems) and the obtained electropherograms were analysed by the GeneMapper 3.7 software (Applied Biosystems).

LocusRepeat motifPrimer sequence (5′-3′)Annealing temperatureAllelic profiles (bp)
Cima di BitontoOgliarola BareseCoratina


















The amplified fragments were used to get a binary matrix, in which amplicons were marked with 1 for presence and 0 for the absence of a fragment to a certain molecular weight. Genetic similarity among the olive cultivars was calculated by Jaccard coefficient and the Unweighted Pair Group Method using Arithmetic Averages (UPGMA) was performed for cluster analysis with NTSYS-PC 2.0 [27].

2.3. DNA Mixtures and SSR Genotyping by High Resolution Melting (HRM) Analysis

Reference DNAs of cultivars Coratina, Cima di Bitonto, and Ogliarola were used alone or combined in order to get mixtures simulating Terra di Bari oil, which comprises a 20% of unspecified local varieties widely spread in the area. The local varieties, indicated as “other cultivars,” were Simone, Toscanina, Cima di Mola, Nociara, Maiatica, and Cellina di Nardò. In addition, we analysed two commercial olive oils Terra di Bari and an extra-European monovarietal oil obtained from the cultivar Aeleh (Algeria) in order to consider a possible introduction of unlabelled extra community olive oil (Table 2). Progressive adulteration of a PDO oil sample (monovarietal Coratina olive oil) was simulated by adding a crescent proportion of cultivar Aeleh from 10% to 50%.

CultivarDNA mixtures (v/v in %)

Cima di Bitonto1008026.64040
Other cultivars26.626.626.620202020202020

On the bases of PDO “Terra di Bari” procedure rules, these commercial samples should be made by 80% of Coratina, Ogliarola Barese, and/or Cima di Bitonto alone or in mixture and a 20% of other cultivars.
Mixture in equal proportion of cultivars: Simone, Cima di Mola, Nociara, and Toscanina.

We performed a High Resolution Melting (HRM) analysis choosing the SSR marker DCA18, on the basis of its different allelic profiles in the cultivars Coratina, Cima di Bitonto, and Ogliarola Barese obtained by capillary electrophoresis.

HRM reaction was performed in a final volume of 10 μL consisting of 50 ng of genomic DNA, 1 × Sso Fast EvaGreen Master mix (Bio-Rad, Hercules, CA), and 0.25 μM of each primer (Sigma-Aldrich, St. Louis, MO). A No Template Control (NTC) was included in each run [28].

Amplification and HRM analysis were performed on CFX96 Touch Real Time PCR Detection System (Bio-Rad, Hercules, CA) and the cycling program consisted of a touchdown protocol: 2 min of initial denaturation at 98°C, followed by 5 cycles of denaturation at 98°C for 8 sec, annealing at 56°C for 8 sec (with decrement of 0.5°C per cycle), and extension at 72°C for 12 sec. The annealing temperature was maintained at 54°C for the successive 40 steps and denaturation temperature was decreased to 95°C, acquiring fluorescent data at the end of each cycle. The amplification protocol was immediately followed by the High Resolution Melting steps of 95°C for 10 sec, cooling to 58°C for 30 sec, and raising the temperature from 65°C to 95°C with increasing of 0.2°C every 10 sec with fluorescence acquisition.

After verification of robust amplification curves, the melting curve stage was further analysed by CFX Manager software (Bio-Rad, Hercules, CA). The melt curve was normalized along the temperature axis (temperature shifting) to permit easy differentiation of DNA curve.

3. Results and Discussion

Among the different types of genetic markers available for varietal identification purposes, the nuclear microsatellite or SSR (Simple Sequence Repeat) is the marker of choice largely used and the only one accepted for forensic applications [29]. This is essentially due to the numerous advantages intrinsic of such marker: codominant nature, high polymorphism, wide distribution across the genome, and automated detection. As SSR can be used to distinguish olive varieties when DNA is extracted directly from olive oils and based on our previous works [30] we identified the most informative and effective markers (DCA04 and DCA18) to genotype the selected cultivars showing a different allelic profiles (Table 1).

In this work SSR markers were directly applied to DNA extracted from olive oil, which is highly degraded and poor in quantity. The best approach is to select SSR markers providing a simple and reproducible pattern, whilst they maintain their informativeness and efficiency. The SSR markers used in this work were selected for their high polymorphism and for the clear allelic profile.

All 17 SSR markers showed a very high value of PD (Power Discrimination) [31], with the maximum value of 0.88 scored for DCA18.

Figure 1 reports the genetic similarity dendrogram obtained with 17 SSR markers. The cultivars Toscanina and Nociara showed the highest degree of diversity, whereas the others are separated in two subclusters. In the first group there are Cima di Mola, Ogliarola, Maiatica, and Simone, and in the second one there are Cellina di Nardò, Coratina, Cima di Bitonto, and Toscanina. All the cultivars showed small sized fruits, characteristic of olive oil attitude cultivars, with Cima di Mola and Ogliarola, and Coratina and Cima di Bitonto that are very similar in the morphological traits. Ogliarola and Cima di Bitonto are commonly considered as synonymous referred to the same variety, and also the disciplinary of “Terra di Bari” olive oil production induces in an ambiguous appellation of them, not clarifying that are two different cultivars. The results of our analyses define Cima di Bitonto and Ogliarola as two distinct cultivars, as confirmed by capillary electrophoresis and HRM analysis (Figure 2).

Among the seventeen markers, the DCA18 was the most polymorphic SSR able to discriminate all samples, and for this reason it was chosen to realize an identification key (Figure 3). This marker revealed 10 different amplicons that are combined in 9 unique genotypes and for this reason was selected for the HRM application. In recent years different authors reported the use of HRM for the varietal identification [32, 33], genotyping [28, 34], and food traceability [35]. The advantages of this technique that was originally conceived for the human diagnostic [36], such as absence of manipulation after PCR, cost effectiveness, closed-tube analysis, and results obtainable in less than 3 hours, are nowadays emerging in plant and food sector. All the HRM experiments were realized with the marker DCA18 and in Figure 4 is reported the difference curve of some Terra di Bari experimental samples compared to commercial Terra di Bari olive oil and one experimental olive oil made up of Nociara and Toscanina. The plot well established the difference among the Terra di Bari group (mixes 3, 6, 7, 9, 10, 11, 12) and non-Terra di Bari group (mix 13). The preparation of different mixtures (Table 2) is essential to constitute a dataset of melting curve profiles in order to perform a quick preliminary analysis and define the belonging of an unknown sample to the Terra di Bari group, specified and declared as well in the label. This analysis might be useful as first check of the varietal composition of olive oil, especially when it is necessary to work with large number of samples. The high efficiency of discrimination of the technique, already tested by Vietina et al. [37] and Ganopoulos et al. [38] in adulteration of olive oil by the addition of cheaper oils obtained from other plants (i.e., maize, sunflower, and soybean), is proved also in the varietal identification if a cultivar is required and specified by production disciplinary. A further application of HRM method is to quantify the presence of adulterants; in literature are reported several studies regarding the identification of adulterants (i.e., different species or botanical varieties) and their quantification [35, 38, 39]. Figure 5 showed the set-up of quantification of increasing addition of the Algerian cultivar Aeleh to a monovarietal Coratina olive oil. It is possible to appreciate the clear distinction between the monovarietal oil of Coratina and Aeleh, showing different melting temperature, and the placement of the different level of adulteration (10–20–30–40–50%) between them. The obtained results confirmed the possibility to use the HRM technique not only for a qualitative application but also for a quantitative detection of the addiction of different amounts of olive oils produced by cultivars not allowed in the PDO disciplinary production.

4. Conclusion

This molecular analysis allowed the distinction of the cultivars included in the “Terra di Bari” PDO disciplinary with respect to those widely diffused in the Apulian region. In addition, SSR markers were able to provide a specific profile for Coratina, Ogliarola Barese, and Cima di Bitonto cultivars. The production rules of “Terra di Bari” olive oil consider the cultivar Cima di Bitonto and Ogliarola as two synonymous referred to the same genotypes. The allelic profiles obtained with capillary electrophoresis analysis clarify unambiguously that Cima di Bitonto and Ogliarola are two distinct varieties, and this aspect should be taken into account for an accurate review of the disciplinary.

These results should be useful in the agrofood compartment, where the application of molecular techniques could lead to the identification of raw materials and derived products allowing to trace origin and identity of cultivars used for the obtainment of typical products.

Conflict of Interests

The authors declare that there is no conflict of interests regarding the publication of this paper.


This work has been carried out with financial support from the University of Bari—Projects: Idea Giovani 2010/11 and Cofin PRIN 2009, coordinated by Dr. Cinzia Montemurro.


  3. C. Montealegre, M. L. M. Alegre, and C. García-Ruiz, “Traceability markers to the botanical origin in olive oils,” Journal of Agricultural and Food Chemistry, vol. 58, no. 1, pp. 28–38, 2010. View at: Publisher Site | Google Scholar
  4. M. A. Brescia, G. Alviti, V. Liuzzi, and A. Sacco, “Chemometrics classification of olive cultivars based on compositional data of oils,” Journal of the American Oil Chemists' Society, vol. 80, no. 10, pp. 945–950, 2003. View at: Publisher Site | Google Scholar
  5. T. G. Diaz, I. D. Merás, J. S. Casas, and M. F. A. Franco, “Characterization of virgin olive oils according to its triglycerides and sterols composition by chemometric methods,” Food Control, vol. 16, no. 4, pp. 339–347, 2005. View at: Publisher Site | Google Scholar
  6. M. R. Alves, S. C. Cunha, J. S. Amaral, J. A. Pereira, and M. B. Oliveira, “Classification of PDO olive oils on the basis of their sterol composition by multivariate analysis,” Analytica Chimica Acta, vol. 549, no. 1-2, pp. 166–178, 2005. View at: Publisher Site | Google Scholar
  7. I. S. Arvanitoyannis and A. Vlachos, “Implementation of physicochemical and sensory analysis in conjunction with multivariate analysis towards assessing olive oil authentication/adulteration,” Critical Reviews in Food Science and Nutrition, vol. 47, no. 5, pp. 441–498, 2007. View at: Publisher Site | Google Scholar
  8. S. Pafundo, C. Agrimonti, and N. Marmiroli, “Traceability of plant contribution in olive oil by amplified fragment length polymorphisms,” Journal of Agricultural and Food Chemistry, vol. 53, no. 18, pp. 6995–7002, 2005. View at: Publisher Site | Google Scholar
  9. A. Pasqualone, C. Montemurro, C. Summo, W. Sabetta, F. Caponio, and A. Blanco, “Effectiveness of microsatellite DNA markers in checking the identity of protected designation of origin extra virgin olive oil,” Journal of Agricultural and Food Chemistry, vol. 55, no. 10, pp. 3857–3862, 2007. View at: Publisher Site | Google Scholar
  10. A. Pasqualone, V. di Rienzo, R. Nasti, A. Blanco, T. Gomes, and C. Montemurro, “Traceability of Italian protected designation of origin (PDO) table olives by means of microsatellite molecular markers,” Journal of Agricultural and Food Chemistry, vol. 61, no. 12, pp. 3068–3073, 2013. View at: Publisher Site | Google Scholar
  11. M. S. Akkaya and E. B. Buyukunal-Bal, “Assessment of genetic variation of bread wheat varieties using microsatellite markers,” Euphytica, vol. 135, no. 2, pp. 179–185, 2004. View at: Publisher Site | Google Scholar
  12. L. Zeng, T.-R. Kwon, X. Liu, C. Wilson, C. M. Grieve, and G. B. Gregorio, “Genetic diversity analyzed by microsatellite markers among rice (Oryza sativa L.) genotypes with different adaptations to saline soils,” Plant Science, vol. 166, no. 5, pp. 1275–1285, 2004. View at: Publisher Site | Google Scholar
  13. G. Cipriani, A. Spadotto, I. Jurman et al., “The SSR-based molecular profile of 1005 grapevine (Vitis vinifera L.) accessions uncovers new synonymy and parentages, and reveals a large admixture amongst varieties of different geographic origin,” Theoretical and Applied Genetics, vol. 121, no. 8, pp. 1569–1585, 2010. View at: Publisher Site | Google Scholar
  14. G. M. M. Bredemeijer, R. J. Cooke, M. W. Ganal et al., “Construction and testing of a microsatellite database containing more than 500 tomato varieties,” Theoretical and Applied Genetics, vol. 105, no. 6-7, pp. 1019–1026, 2002. View at: Publisher Site | Google Scholar
  15. K. M. Sefc, M. S. Lopes, D. Mendonça, M. Rodrigues Dos Santos, M. Laimer Da Câmara Machado, and A. Da Câmara Machado, “Identification of microsatellite loci in olive (Olea europaea) and their characterization in Italian and Iberian olive trees,” Molecular Ecology, vol. 9, no. 8, pp. 1171–1173, 2000. View at: Publisher Site | Google Scholar
  16. C. Montemurro, R. Simeone, A. Pasqualone, E. Ferrara, and A. Blanco, “Genetic relationships and cultivar identification among 112 olive accessions using AFLP and SSR markers,” The Journal of Horticultural Science and Biotechnology, vol. 80, no. 1, pp. 105–110, 2005. View at: Google Scholar
  17. M. Hosseini-Mazinani, R. Mariotti, B. Torkzaban et al., “High genetic diversity detected in olives beyond the boundaries of the Mediterranean sea,” PLoS ONE, vol. 9, no. 4, Article ID e93146, 2014. View at: Publisher Site | Google Scholar
  18. D. Scarano and R. Rao, “DNA markers for food products authentication,” Diversity, vol. 6, no. 3, pp. 579–596, 2014. View at: Publisher Site | Google Scholar
  19. A. Pasqualone, C. Montemurro, F. Caponio, and A. Blanco, “Identification of virgin olive oil from different cultivars by analysis of dna microsatellites,” Journal of Agricultural and Food Chemistry, vol. 52, no. 5, pp. 1068–1071, 2004. View at: Publisher Site | Google Scholar
  21. J. T. Li, J. Yang, D. C. Chen, X. L. Zhang, and Z. S. Tang, “An optimized mini-preparation method to obtain high-quality genomic DNA from mature leaves of sunflower,” Genetics and Molecular Research, vol. 6, supplement 4, pp. 1064–1071, 2007. View at: Google Scholar
  22. W. Sabetta, V. Alba, A. Blanco, and C. Montemurro, “SunTILL: a TILLING resource for gene function analysis in sunflower,” Plant Methods, vol. 7, article 20, 2011. View at: Publisher Site | Google Scholar
  23. A. Pasqualone, V. di Rienzo, A. Blanco, C. Summo, F. Caponio, and C. Montemurro, “Characterization of virgin olive oil from Leucocarpa cultivar by chemical and DNA analysis,” Food Research International, vol. 47, no. 2, pp. 188–193, 2012. View at: Publisher Site | Google Scholar
  24. F. Carriero, G. Fontanazza, F. Cellini, and G. Giorio, “Identification of simple sequence repeats (SSRs) in olive (Olea europaea L.),” Theoretical and Applied Genetics, vol. 104, no. 2-3, pp. 301–307, 2002. View at: Publisher Site | Google Scholar
  25. R. de la Rosa, C. M. James, and K. R. Tobutt, “Isolation and characterization of polymorphic microsatellites in olive (Olea europaea L.) and their transferability to other genera in the Oleaceae,” Molecular Ecology Notes, vol. 2, no. 3, pp. 265–267, 2002. View at: Publisher Site | Google Scholar
  26. G. Cipriani, M. T. Marrazzo, R. Marconi, A. Cimato, and R. Testolin, “Microsatellite markers isolated in olive (Olea europaea L.) are suitable for individual fingerprinting and reveal polymorphism within ancient cultivars,” Theoretical and Applied Genetics, vol. 104, no. 2-3, pp. 223–228, 2002. View at: Publisher Site | Google Scholar
  27. F. J. Rohlf, NTSYS-PC. Numerical Taxonomy and Multivariate Analysis System, Version 2.02i, Department of Ecology and Evolution, State University of New York, Setauket, NY, USA, 1998.
  28. S. M. Sanzani, C. Montemurro, V. di Rienzo, M. Solfrizzo, and A. Ippolito, “Genetic structure and natural variation associated with host of origin in Penicillium expansum strains causing blue mould,” International Journal of Food Microbiology, vol. 165, no. 2, pp. 111–120, 2013. View at: Publisher Site | Google Scholar
  29. M. Pérez-Jiménez, G. Besnard, G. Dorado, and P. Hernandez, “Varietal tracing of virgin olive oil based on plastid DNA variation profiling,” PLoS ONE, vol. 8, no. 8, Article ID e70507, 2013. View at: Publisher Site | Google Scholar
  30. V. Alba, C. Montemurro, W. Sabetta, A. Pasqualone, and A. Blanco, “SSR-based identification key of cultivars of Olea europaea L. diffused in Southern-Italy,” Scientia Horticulturae, vol. 123, no. 1, pp. 11–16, 2009. View at: Publisher Site | Google Scholar
  31. A. D. Kloosterman, B. Budowle, and P. Daselaar, “PCR-amplification and detection of the human D1S80 VNTR locus: Amplification conditions, population genetics and application in forensic analysis,” International Journal of Legal Medicine, vol. 105, no. 5, pp. 257–264, 1993. View at: Publisher Site | Google Scholar
  32. J. F. MacKay, C. D. Wright, and R. G. Bonfiglioli, “A new approach to varietal identification in plants by microsatellite high resolution melting analysis: application to the verification of grapevine and olive cultivars,” Plant Methods, vol. 4, article 8, 2008. View at: Publisher Site | Google Scholar
  33. A. Xanthopoulou, I. Ganopoulos, G. Koubouris et al., “Microsatellite high-resolution melting (SSR-HRM) analysis for genotyping and molecular characterization of an Olea europaea germplasm collection,” Plant Genetic Resources, vol. 12, no. 3, pp. 273–277, 2014. View at: Publisher Site | Google Scholar
  34. I. Ganopoulos, A. Argiriou, and A. Tsaftaris, “Microsatellite high resolution melting (SSR-HRM) analysis for authenticity testing of protected designation of origin (PDO) sweet cherry products,” Food Control, vol. 22, no. 3-4, pp. 532–541, 2011. View at: Publisher Site | Google Scholar
  35. I. Ganopoulos, A. Argiriou, and A. Tsaftaris, “Adulterations in Basmati rice detected quantitatively by combined use of microsatellite and fragrance typing with High Resolution Melting (HRM) analysis,” Food Chemistry, vol. 129, no. 2, pp. 652–659, 2011. View at: Publisher Site | Google Scholar
  36. C. T. Wittwer, “High-resolution DNA melting analysis: advancements and limitations,” Human Mutation, vol. 30, no. 6, pp. 857–859, 2009. View at: Publisher Site | Google Scholar
  37. M. Vietina, C. Agrimonti, and N. Marmiroli, “Detection of plant oil DNA using high resolution melting (HRM) post PCR analysis: a tool for disclosure of olive oil adulteration,” Food Chemistry, vol. 141, no. 4, pp. 3820–3826, 2013. View at: Publisher Site | Google Scholar
  38. I. Ganopoulos, C. Bazakos, P. Madesis, P. Kalaitzis, and A. Tsaftaris, “Barcode DNA high-resolution melting (Bar-HRM) analysis as a novel close-tubed and accurate tool for olive oil forensic use,” Journal of the Science of Food and Agriculture, vol. 93, no. 9, pp. 2281–2286, 2013. View at: Publisher Site | Google Scholar
  39. E. Mader, J. Ruzicka, C. Schmiderer, and J. Novak, “Quantitative high-resolution melting analysis for detecting adulterations,” Analytical Biochemistry, vol. 409, no. 1, pp. 153–155, 2011. View at: Publisher Site | Google Scholar

Copyright © 2015 Cinzia Montemurro et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

More related articles

1240 Views | 650 Downloads | 23 Citations
 PDF Download Citation Citation
 Download other formatsMore
 Order printed copiesOrder

Related articles

We are committed to sharing findings related to COVID-19 as quickly as possible. We will be providing unlimited waivers of publication charges for accepted research articles as well as case reports and case series related to COVID-19. Review articles are excluded from this waiver policy. Sign up here as a reviewer to help fast-track new submissions.