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Rapid diagnostic PCR method for identification of the genera sarcocornia and salicornia

dc.contributor.authorContreras, Roberto Cesar
dc.contributor.authorSepulveda, Bernardo Antonio
dc.contributor.authorAguayo, Fernanda
dc.contributor.authorPorcile, Vincenzo
dc.date.accessioned2020-09-14T15:24:51Z
dc.date.available2020-09-14T15:24:51Z
dc.date.issued2018
dc.identifier.citationIdesia vol.36 no.3 Arica Sept. 2018
dc.identifier.urihttps://hdl.handle.net/20.500.12740/15982
dc.description.abstractPlants that belong to different genera sometimes may present close morphological similarity and cannot be distinguished phe notypically by non-specialists. The aim of this study was to develop a simple diagnostic PCR for the identification of plants of Sarcocornia and Salicornia and to test this new procedure to identify 82 samples of Sarcocornia neii from coastal and valleys of the Atacama region of Chile. Six primer pairs were designed from ETS sequences of the genera Sarcocornia and Salicornia and evaluated for the identification of both genera. Primers with a mismatch in the 3’ nucleotide indicate the site of the SNP. Four primer pairs (SALI2F-2R, SALI3F-4R, SARCO1F-1R and SARCO3F-3R) were selected to develop an efficient and simple diagnostic PCR for the identification of Sarcocornia and Salicornia. The results show that with this method is possible to identify Sarcocornia and Salicornia. This method may be useful as an approach for genetic traceability of conserved products (sea asparagus). This work provides an applicable and efficient method using only DNA, PCR and electrophoresis.
dc.rightsAtribución-NoComercial 3.0 Chile
dc.rights.urihttps://creativecommons.org/licenses/by-nc/3.0/cl/
dc.sourcehttp://dx.doi.org/10.4067/S0718-34292018005001501
dc.subjectSALICORNIA
dc.subjectSARCOCORNIA
dc.subjectallele-specific primer
dc.subjectPCR
dc.subjectSNP
dc.titleRapid diagnostic PCR method for identification of the genera sarcocornia and salicornia
dc.typeArtículo de Revista
dc.cuartilQ3
dc.indice.citasJournal
dc.relation.vriphttp://dx.doi.org/10.4067/S0718-34292018005001501
dc.unidadCRIDESAT
dc.databaseScopus-SciELO


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