High-resolution melting analysis for testing the authenticity of fresh and canned heart of palm, an economically important non-timber forest product from the Neotropics

References

• Aliki X, Ioannis G, Apostolos K, Maslin O, Paschalina C, Athanasios T, Panagiotis M. 2016. Multiplex HRM analysis as a tool for rapid molecular authentication of nine herbal teas. Food Control. 60:113–116.
   Google Scholar
• Backes P, Irgang B. 2004. Mata Atlântica: as árvores e a paisagem. Porto Alegre: Paisagem do Sul; p. 393. ISBN: 9788598956015.
   Google Scholar
• Brokamp G. 2015. Relevance and sustainability of wild plant collection in NW South America. Insights from the plant families Arecaceae and Krameriaceae. Springer Fachmedien Wiesbaden. doi:10.1007/978-3-658-08696-1.
   Google Scholar
• Calvo JH, Zaragoza P, Osta R. 2001. Random amplified polymorphic DNA fingerprints for identification of species in poultry pate. Poult Sci. 80:522–524.
   Google Scholar
• Chikuni K, Ozustume K, Kawa TH, Kato S. 1990. Species identification of cooked meats by DNA hybridization assay. Meat Sci. 27:199–208.
   Google Scholar
• De Beer JH, McDermott M. 1996. The economic value of non-timber forest products in South East Asia. 2nd ed. Amsterdam: The Netherlands Committee for IUCN. ISBN: 9075909012.
   Google Scholar
• Debode F, Marien A, Janssen E, Bragard C, Berben G. 2017. The influence of amplicon length on real-time PCR results. Base. 21(1):3–11.
   Google Scholar
• Deguilloux MF, Pemonge MH, Petit R. 2002. Novel perspectives in wood certification and forensics: dry wood as a source of DNA. Proc R Soc London, Ser B. 269:1039–1046.
   Google Scholar
• Doyle JJ, Doyle JL. 1987. A rapid DNA isolation procedure for small quantities of fresh leaf tissue. Phytochem Bull. 19:11–15.
   Google Scholar
• Edgar RC. 2004. MUSCLE: a multiple sequence alignment method with reduced time and space complexity. BMC Bioinf. 5(1):1–19.
   Google Scholar
• Fernandes TJR, Costa J, Oliveira MBPP, Mafra I. 2017. DNA barcoding coupled to HRM analysis as a new and simple tool for the authentication of Gadidae fish species. Food Chem. 230:49–57.
   Google Scholar
• Food and Agriculture Organization of the United Nations. 1997. State of the world’s forests. UK: Oxford; p. 201. ISBN 9251039771.
   Google Scholar
• Hajibabaei M, Smith MA, Janzen DH, Rodriguez JJ, Whitfield JB, Hebert PDN. 2006. A minimalist barcode can identify a specimen whose DNA is degraded. Mol Ecol Resour. 6(4):959–964.
   Google Scholar
• Haunshi S, Basumatary R, Girish PS, Doley S, Bardoloi RK, Kumar A. 2009. Identification of chicken, duck, pigeon and pig meat by species-specific markers of mitochondrial origin. Meat Sci. 83:454–459.
   Google Scholar
• Hebert PDN, Cywinska A, Ball SL, Waard JR. 2003. Biological identifications through DNA barcodes. Proc R Soc London, Ser B. 270:313–321.
   Google Scholar
• Hollingsworth PM, Forrest LL, Spouge JL., et al. 2009. A DNA barcode for land plants. Proc Natl Acad Sci U S A. 106:12794–12797.
   Google Scholar
• Hollingsworth PM, Graham SW, Little DP. 2011. Choosing and using a plant DNA barcode. PLoS One. 6(5):e19254. doi:10.1371/journal.pone.0019254.
   Google Scholar
• Jaakola L, Suokas M, Häggman H. 2010. Novel approaches based on DNA barcoding and high-resolution melting of amplicons for authenticity analyses of berry species. Food Chem. 123:494–500.
   Google Scholar
• Jilberto F, Araneda C, Larraín MA. 2017. High resolution melting analysis for identification of commercially-important Mytilus species. Food Chem. 229:716–720.
   Google Scholar
• Koh MC, Lim CH, Chua SB, Chew ST, Phang STW. 1998. Random amplified polymorphic DNA (RAPD) fingerprints for identification of red meat animal species. Meat Sci. 48:275–285.
   Google Scholar
• Kress WJ, Wurdack KJ, Zimmer EA, Weigt LA, Janzen DH. 2005. Use of DNA barcodes to identify flowering plants. Proc Natl Acad Sci U S A. 102(23):8369–8374.
   Google Scholar
• Kumar S, Stecher G, Tamura K. 2016. MEGA7: molecular evolutionary genetics analysis version 7.0 for bigger datasets. Mol Biol Evol. 33(7):1870–1874.
   Google Scholar
• Lopez-Oceja A, Nuñez C, Baeta M, Gamarra D, Pancorbo MM. 2017. Species identification in meat products: a new screening method based on high resolution melting analysis of cyt b gene. Food Chem. 237:701–706.
   Google Scholar
• Martinelli G, Moraes MA. 2013. Livro vermelho da flora do Brasil. Instituto de Pesquisas Jardim Botânico do Rio de Janeiro. Brazil: Rio de Janeiro; p. 1100. ISBN 9788588742581.
   Google Scholar
• McCauley DE. 1995. The use of chloroplast DNA polymorphism in studies of gene flow in plants. Trends Ecol Evol. 10(5):198–202.
   Google Scholar
• Mullis KB. 1990. The unusual origins of the polymerase chain reaction. Sci Am. 262:56–65.
   Google Scholar
• Murphy J, Armour J, Blais BW. 2007. Cloth-based hybridization array system for expanded identification of the animal species origin of derived materials in feeds. J Food Prot. 70(12):2900–2905.
   Google Scholar
• Palumbi SR, Cipriano F. 1998. Species identification using genetic tools: the value of nuclear and mitochondrial gene sequences in whale conservation. J Heredity. 89(5):459–464.
   Google Scholar
• Pappalardo AM, Ferrito V. 2015. DNA barcoding species identification unveils mislabeling of processed flatfish products in southern Italy markets. Fish Res. 164:153–158.
   Google Scholar
• Pascoal A, Barros-Velázquez J, Cepeda A, Gallardo JM, Calo-Mata P. 2008. A polymerase chain reaction-restriction fragment length polymorphism method based on the analysis of a 16S rRNA/tRNA(Val) mitochondrial region for species identification of commercial penaeid shrimps (Crustacea: decapoda: penaeoidea) of food interest. Electrophoresis. 29(2):499–509.
   Google Scholar
• Pereira L, Gomes S, Castro C, Eiras-Dias JE, Brazão J, Graça A, Fernandes JR, Martins-Lopes P. 2017. High resolution melting (HRM) applied to wine authenticity. Food Chem. 216:80–86.
   Google Scholar
• Reed GH, Kent JO, Wittwer CT. 2007. High-resolution DNA melting analysis for simple and efficient molecular diagnostics. Pharmacogenomics. 8:597–608.
   Google Scholar
• Reis MS, Fantini AC, Nodari RO, Reis A, Guerra MP, Mantovani A. 2000. Management and conservation of natural populations in Atlantic rain forest: the case study of palm heart (Euterpe edulis Martius). Biotropica. 32(4b):894–902.
   Google Scholar
• Resende JM, Júnior OLS, Silva EMR, Flori JE. 2009. Palmito de pupunha in natura e em conserva. Brasília (DF): Embrapa Informação Tecnológica; p. 109. ISBN 9788573834444.
   Google Scholar
• Ribeiro CC, Jorge LHA. 2013. Beneficiamento de produtos da pupunha para exportação. Manaus: Escola SENAI Antônio Simões, Serviço Brasileiro de Respostas Técnicas; p. 30. http://www.respostatecnica.org.br/dossie-tecnico/downloadsDT/Mjc2NjY=.
   Google Scholar
• Sousa EP, Soares NS, Cordeiro SA, Silva ML. 2011. Competitividade da produção de palmito de pupunha no Espírito Santo e em São Paulo. Rev Econ Sociologia Rural. 49(1):157–180. doi:10.1590/S0103-20032011000100007.
   Google Scholar
• Untergasser A, Cutcutache I, Koressaar T, Ye J, Faircloth BC, Remm M, Rozen SG. 2012. Primer3 - new capabilities and interfaces. Nucleic Acids Res. 40(15):e115.
   Google Scholar
• Vallejo MI, Valderrama N, Bemal R, Galeano G, Arteaga G, Leal C. 2011. Current status and perspectives of palm heart production from Euterpe oleracea Mart. (Arecaceae) at the Pacific Coast of Colombia. Colomb Forestal. 14(2):191–212.
   Google Scholar
• Verkaar ELC, Nijman IJ, Boutaga K, Lenstra JA. 2002. Differentiation of cattle species in beef by PCR-RFLP of mitochondrial and satellite DNA. Meat Sci. 60(4):365–369.
   Google Scholar
• Vietina M, Agrimonti C, Marmiroli N. 2013. Detection of plant oil DNA using high resolution melting (HRM) post PCR analysis: A tool for disclosure of olive oil adulteration. Food Chem. 141:3820–3826.
   Google Scholar
• Wang J, Qi H, Li L, Que H, Wang D, Zhang G. 2015. Discovery and validation of genic single nucleotide polymorphisms in the Pacific oyster Crassostrea gigas. Mol Ecol Resour. 15:123–135.
   Google Scholar
• Wittwer CT, Reed GH, Gundry CN, Vandersteen JG, Pryor RJ. 2003. High-resolution genotyping by amplicon melting analysis using LCGreen. Clin Chem. 49(6):853–860.
   Google Scholar