Italian
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)
Biological and Pharmaceutical Bulletin 2008-Dec

Molecular characterization of the phenylalanine ammonia-lyase from Ephedra sinica.

Solo gli utenti registrati possono tradurre articoli
Entra registrati
Il collegamento viene salvato negli appunti
Taketo Okada
Masayuki Mikage
Setsuko Sekita

Parole chiave

Astratto

The cDNAs (Espals) encoding phenylalanine ammonia-lyase (PAL) were cloned from Ephedra sinica by reverse transcription polymerase chain reaction (RT-PCR) using degenerate primers and by 5' and 3'-rapid amplification of cDNA ends (RACE). 2166 bp of the open reading frame (ORF) encoded 722 amino acids; sequence analyses of Espal clones suggested that at least four isoforms of EsPAL (EsPAL1, 2, 3, 4) existed, with nine amino acids substitution in their sequences. Phylogenetic analysis of EsPAL and PALs from other plant species revealed that EsPAL and Pinus PAL formed a gymnosperm-type PAL subfamily. The recombinant EsPAL1 to 4 functionally catalyzed a PAL reaction and their K(m), V(max), K(cat) and K(cat)/K(m) values did not show significant differences. Semi-quantitative RT-PCR analysis indicated that the expression of Espal genes in the roots was higher than in the plant's aerial parts. In addition, the activity of PAL in the roots was also higher than in the aerial parts. These results suggest that Espal genes are expressed in the whole plant but are dominant in the roots rather than in the aerial parts.

Unisciti alla nostra
pagina facebook

Il database di erbe medicinali più completo supportato dalla scienza

  • Funziona in 55 lingue
  • Cure a base di erbe sostenute dalla scienza
  • Riconoscimento delle erbe per immagine
  • Mappa GPS interattiva - tagga le erbe sul luogo (disponibile a breve)
  • Leggi le pubblicazioni scientifiche relative alla tua ricerca
  • Cerca le erbe medicinali in base ai loro effetti
  • Organizza i tuoi interessi e tieniti aggiornato sulle notizie di ricerca, sperimentazioni cliniche e brevetti

Digita un sintomo o una malattia e leggi le erbe che potrebbero aiutare, digita un'erba e osserva le malattie ei sintomi contro cui è usata.
* Tutte le informazioni si basano su ricerche scientifiche pubblicate

Google Play badgeApp Store badge