Spanish
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)
Plant Cell 2016-Sep

Arabidopsis STAY-GREEN, Mendel's Green Cotyledon Gene, Encodes Magnesium-Dechelatase.

Solo los usuarios registrados pueden traducir artículos
Iniciar sesión Registrarse
El enlace se guarda en el portapapeles.
Yousuke Shimoda
Hisashi Ito
Ayumi Tanaka

Palabras clave

Abstracto

Pheophytin a is an essential component of oxygenic photosynthetic organisms because the primary charge separation between chlorophyll a and pheophytin a is the first step in the conversion of light energy. In addition, conversion of chlorophyll a to pheophytin a is the first step of chlorophyll degradation. Pheophytin is synthesized by extracting magnesium (Mg) from chlorophyll; the enzyme Mg-dechelatase catalyzes this reaction. In this study, we report that Mendel's green cotyledon gene, STAY-GREEN (SGR), encodes Mg-dechelatase. The Arabidopsis thaliana genome has three SGR genes, SGR1, SGR2, and STAY-GREEN LIKE (SGRL). Recombinant SGR1/2 extracted Mg from chlorophyll a but had very low or no activity against chlorophyllide a; by contrast, SGRL had higher dechelating activity against chlorophyllide a compared with chlorophyll a All SGRs could not extract Mg from chlorophyll b Enzymatic experiments using the photosystem and light-harvesting complexes showed that SGR extracts Mg not only from free chlorophyll but also from chlorophyll in the chlorophyll-protein complexes. Furthermore, most of the chlorophyll and chlorophyll binding proteins disappeared when SGR was transiently expressed by a chemical induction system. Thus, SGR is not only involved in chlorophyll degradation but also contributes to photosystem degradation.

Únete a nuestra
página de facebook

La base de datos de hierbas medicinales más completa respaldada por la ciencia

  • Funciona en 55 idiomas
  • Curas a base de hierbas respaldadas por la ciencia
  • Reconocimiento de hierbas por imagen
  • Mapa GPS interactivo: etiquete hierbas en la ubicación (próximamente)
  • Leer publicaciones científicas relacionadas con su búsqueda
  • Buscar hierbas medicinales por sus efectos.
  • Organice sus intereses y manténgase al día con las noticias de investigación, ensayos clínicos y patentes.

Escriba un síntoma o una enfermedad y lea acerca de las hierbas que podrían ayudar, escriba una hierba y vea las enfermedades y los síntomas contra los que se usa.
* Toda la información se basa en investigaciones científicas publicadas.

Google Play badgeApp Store badge