Français
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Journal of Agricultural and Food Chemistry 2007-Oct

A strategy for designing multi-taxa specific reference gene systems. example of application--ppi phosphofructokinase (ppi-PPF) used for the detection and quantification of three taxa: maize (Zea mays), cotton (Gossypium hirsutum) and rice (Oryza sativa).

Seuls les utilisateurs enregistrés peuvent traduire des articles
Se connecter S'inscrire
Le lien est enregistré dans le presse-papiers
Maher Chaouachi
Sandra Giancola
Marcel Romaniuk
Valérie Laval
Yves Bertheau
Dominique Brunel

Mots clés

Abstrait

In the first part of the paper, we report the description of a new strategy for the development of a plant reference gene system that can be used for genetically modified organism (GMO) analysis. On the basis of in silico research for candidate genes, the design of degenerate primers allowed the obtention of genomic sequences of the selected gene ppi-phosphofructokinase ( ppi-PPF) for nine taxa in which GMOs have been developed. The comparison and the analysis of inter- and intraspecies sequence variability were performed using a large number of species and cultivars. As an example of application following the detection of single nucleotide polymorphism, we designed specific conventional and real-time polymerase chain reaction tests for the detection and quantification of three taxa, namely, maize, cotton, and rice. This system was highly specific and sensitive. The gene copy number conservation among different cultivars was analyzed and confirmed with a sequencing step. This reference gene system is adequate for use in routine assays for the quantification of GMOs. We then explain briefly the constraints faced and propose recommendations when designing a reference gene system depending on the species to be targeted.

Rejoignez notre
page facebook

La base de données d'herbes médicinales la plus complète soutenue par la science

  • Fonctionne en 55 langues
  • Cures à base de plantes soutenues par la science
  • Reconnaissance des herbes par image
  • Carte GPS interactive - étiquetez les herbes sur place (à venir)
  • Lisez les publications scientifiques liées à votre recherche
  • Rechercher les herbes médicinales par leurs effets
  • Organisez vos intérêts et restez à jour avec les nouvelles recherches, essais cliniques et brevets

Tapez un symptôme ou une maladie et lisez des informations sur les herbes qui pourraient aider, tapez une herbe et voyez les maladies et symptômes contre lesquels elle est utilisée.
* Toutes les informations sont basées sur des recherches scientifiques publiées

Google Play badgeApp Store badge