Semi-quantitative detection of genetically modified grains based on CaMV 35S promoter amplification

Semi-quantitative detection of genetically modified grains based on CaMV 35S promoter amplification

The detection and exact quantification of the presence of GMOs (genetically modified organisms, also named as living modified organisms, LMOs) grains has become very important in international commercial transactions, especially from countries producing both types of commodities, GMOs and GMO-free....

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Tozzini,Alejandro C., Martínez,M. Carolina, Lucca,M. Florencia, Vázquez Rovere,Cecilia, Distéfano,Ana Julia, del Vas,Mariana, Hopp,Esteban
Lenguaje:English
Publicado: Pontificia Universidad Católica de Valparaíso 2000
Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-34582000000200006
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:scielo:S0717-34582000000200006
record_format dspace
spelling oai:scielo:S0717-345820000002000062003-10-13Semi-quantitative detection of genetically modified grains based on CaMV 35S promoter amplificationTozzini,Alejandro C.Martínez,M. CarolinaLucca,M. FlorenciaVázquez Rovere,CeciliaDistéfano,Ana Juliadel Vas,MarianaHopp,Esteban The detection and exact quantification of the presence of GMOs (genetically modified organisms, also named as living modified organisms, LMOs) grains has become very important in international commercial transactions, especially from countries producing both types of commodities, GMOs and GMO-free. This makes necessary to check every batch previous delivery to the recipient country. Several PCR protocols have been proposed to detect the presence of GMO DNA in a sample due to its sensitivity and independence of environmental and physiological influences. However, most of them are qualitative assays and don’t give a good quantitative estimation of the detected signal. We developed a semi-quantitative method based on the comparison of the mass of the amplification product of the sample with the mass obtained from standard samples of known GMO concentration delivering an accurate estimation of the amount of GMO in a sample. At the same time the reaction is countersigned by an internal reaction control. A strict set up of the conditions is essential to control error-prone steps (like the quantification of the DNA template and of the DNA products and pipetting errors) that may bias the result. Using this protocol, we were able to routinely assess the quantity of transgenic grains present in shipments that sum more than 600,000 tons of corn and 250,000 tons of soybean exported between 1997 and 1999. <A NAME="Article"></A>info:eu-repo/semantics/openAccessPontificia Universidad Católica de ValparaísoElectronic Journal of Biotechnology v.3 n.2 20002000-08-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-34582000000200006en
institution Scielo Chile
collection Scielo Chile
language English
description The detection and exact quantification of the presence of GMOs (genetically modified organisms, also named as living modified organisms, LMOs) grains has become very important in international commercial transactions, especially from countries producing both types of commodities, GMOs and GMO-free. This makes necessary to check every batch previous delivery to the recipient country. Several PCR protocols have been proposed to detect the presence of GMO DNA in a sample due to its sensitivity and independence of environmental and physiological influences. However, most of them are qualitative assays and don’t give a good quantitative estimation of the detected signal. We developed a semi-quantitative method based on the comparison of the mass of the amplification product of the sample with the mass obtained from standard samples of known GMO concentration delivering an accurate estimation of the amount of GMO in a sample. At the same time the reaction is countersigned by an internal reaction control. A strict set up of the conditions is essential to control error-prone steps (like the quantification of the DNA template and of the DNA products and pipetting errors) that may bias the result. Using this protocol, we were able to routinely assess the quantity of transgenic grains present in shipments that sum more than 600,000 tons of corn and 250,000 tons of soybean exported between 1997 and 1999. <A NAME="Article"></A>
author Tozzini,Alejandro C.
Martínez,M. Carolina
Lucca,M. Florencia
Vázquez Rovere,Cecilia
Distéfano,Ana Julia
del Vas,Mariana
Hopp,Esteban
spellingShingle Tozzini,Alejandro C.
Martínez,M. Carolina
Lucca,M. Florencia
Vázquez Rovere,Cecilia
Distéfano,Ana Julia
del Vas,Mariana
Hopp,Esteban
Semi-quantitative detection of genetically modified grains based on CaMV 35S promoter amplification
author_facet Tozzini,Alejandro C.
Martínez,M. Carolina
Lucca,M. Florencia
Vázquez Rovere,Cecilia
Distéfano,Ana Julia
del Vas,Mariana
Hopp,Esteban
author_sort Tozzini,Alejandro C.
title Semi-quantitative detection of genetically modified grains based on CaMV 35S promoter amplification
title_short Semi-quantitative detection of genetically modified grains based on CaMV 35S promoter amplification
title_full Semi-quantitative detection of genetically modified grains based on CaMV 35S promoter amplification
title_fullStr Semi-quantitative detection of genetically modified grains based on CaMV 35S promoter amplification
title_full_unstemmed Semi-quantitative detection of genetically modified grains based on CaMV 35S promoter amplification
title_sort semi-quantitative detection of genetically modified grains based on camv 35s promoter amplification
publisher Pontificia Universidad Católica de Valparaíso
publishDate 2000
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-34582000000200006
work_keys_str_mv AT tozzinialejandroc semiquantitativedetectionofgeneticallymodifiedgrainsbasedoncamv35spromoteramplification
AT martinezmcarolina semiquantitativedetectionofgeneticallymodifiedgrainsbasedoncamv35spromoteramplification
AT luccamflorencia semiquantitativedetectionofgeneticallymodifiedgrainsbasedoncamv35spromoteramplification
AT vazquezroverececilia semiquantitativedetectionofgeneticallymodifiedgrainsbasedoncamv35spromoteramplification
AT distefanoanajulia semiquantitativedetectionofgeneticallymodifiedgrainsbasedoncamv35spromoteramplification
AT delvasmariana semiquantitativedetectionofgeneticallymodifiedgrainsbasedoncamv35spromoteramplification
AT hoppesteban semiquantitativedetectionofgeneticallymodifiedgrainsbasedoncamv35spromoteramplification
_version_ 1718441689707708416

Ejemplares similares