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High-resolution melting analysis as a tool for plant species authentication

dc.contributor.authorGrazina, Liliana
dc.contributor.authorCosta, Joana
dc.contributor.authorAmaral, Joana S.
dc.contributor.authorMafra, Isabel
dc.date.accessioned2018-02-19T10:00:00Z
dc.date.accessioned2021-12-06T17:40:38Z
dc.date.available2018-01-19T10:00:00Z
dc.date.available2021-12-06T17:40:38Z
dc.date.issued2021
dc.description.abstractHigh-resolution melting (HRM) analysis is a cost-effective, specific, and rapid tool that allows distinguishing genetically related plants and other organisms based on the detection of small nucleotide variations, which are recognized from melting properties of the double-stranded DNA. It has been widely applied in several areas of research and diagnostics, including botanical authentication of several food commodities and herbal products. Generally, it consists of the main steps: (1) in silico sequence analysis and primer design; (2) DNA extraction from plant material; (3) amplification by real-time PCR with an enhanced fluorescent dye targeting a specific DNA barcode or other regions of taxonomic interest (100–200 bp); (4) melting curve analysis; and (5) statistical data analysis using a specific HRM software. This chapter presents an overview of HRM analysis and application, followed by the detailed description of all the required reagents, instruments, and protocols for the successful and easy implementation of a HRM method to differentiate closely related plant species.en_EN
dc.description.sponsorshipThis work was supported by FCT (Fundação para a Ciência e Tecnologia) under the Partnership Agreements UIDB/50006/2020 and UIDB/00690/2020. L. Grazina is grateful to FCT grant (SFRH/BD/132462/2017) financed by POPH-QREN (subsidized by FSE and MCTES).
dc.description.versioninfo:eu-repo/semantics/publishedVersionen_EN
dc.identifier.citationGrazina, Liliana; Costa, Joana; Amaral, Joana S.; Mafra, Isabel (2021). High-resolution melting analysis as a tool for plant species authentication. In Crop Breeding: Genetic Improvement Methods. Springer, p. 55-73. ISBN 978-1-0716-1201-9en_EN
dc.identifier.doi10.1007/978-1-0716-1201-9_5en_EN
dc.identifier.isbn978-1-0716-1201-9
dc.identifier.urihttp://hdl.handle.net/10198/24467
dc.language.isoeng
dc.peerreviewedyesen_EN
dc.relationAssociated Laboratory for Green Chemistry - Clean Technologies and Processes
dc.relationMountain Research Center
dc.relationSafety of Plant Food Supplements: advanced genomic and chemical approaches to assess botanical origin, illegal drugs and contaminants
dc.subjectAuthenticityen_EN
dc.subjectBotanical originen_EN
dc.subjectFooden_EN
dc.subjectHerbal productsen_EN
dc.subjectHRMen_EN
dc.subjectSpecies identificationen_EN
dc.titleHigh-resolution melting analysis as a tool for plant species authenticationen_EN
dc.typebook part
dspace.entity.typePublication
oaire.awardTitleAssociated Laboratory for Green Chemistry - Clean Technologies and Processes
oaire.awardTitleMountain Research Center
oaire.awardTitleSafety of Plant Food Supplements: advanced genomic and chemical approaches to assess botanical origin, illegal drugs and contaminants
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50006%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00690%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT//SFRH%2FBD%2F132462%2F2017/PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameAmaral
person.givenNameJoana S.
person.identifier.ciencia-id5319-7DE8-BEDA
person.identifier.orcid0000-0002-3648-7303
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccessen_EN
rcaap.typebookParten_EN
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relation.isAuthorOfPublication.latestForDiscovery42be2cf4-adc4-4e7f-ac60-7aab515b38cd
relation.isProjectOfPublication0d71ca47-dd95-4204-8a34-d28377654df3
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