Turkish
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 Physiology 1998-Feb

Effects of Hypoxia on 13NH4+ Fluxes in Rice Roots. Kinetics and compartmental analysis Kinetics and Compartmental Analysis

Sadece kayıtlı kullanıcılar makaleleri çevirebilir
Giriş yapmak kayıt olmak
Bağlantı panoya kaydedilir
Kronzucker
Kirk
Yaeesh Siddiqi M
Glass

Anahtar kelimeler

Öz

Techniques of compartmental (efflux) and kinetic influx analyses with the radiotracer 13NH4+ were used to examine the adaptation to hypoxia (15, 35, and 50% O2 saturation) of root N uptake and metabolism in 3-week-old hydroponically grown rice (Oryza sativa L., cv IR72) seedlings. A time-dependence study of NH4+ influx into rice roots after onset of hypoxia (15% O2) revealed an initial increase in the first 1 to 2.5 h after treatment imposition, followed by a decline to less than 50% of influx in control plants by 4 d. Efflux analyses conducted 0, 1, 3, and 5 d after the treatment confirmed this adaptation pattern of NH4+ uptake. Half-lives for NH4+ exchange with subcellular compartments, cytoplasmic NH4+ concentrations, and efflux (as percentage of influx) were unaffected by hypoxia. However, significant differences were observed in the relative amounts of N allocated to NH4+ assimilation and the vacuole versus translocation to the shoot. Kinetic experiments conducted at 100, 50, 35, and 15% O2 saturation showed no significant change in the Km value for NH4+ uptake with varying O2 supply. However, Vmax was 42% higher than controls at 50% O2 saturation, unchanged at 35%, and 10% lower than controls at 15% O2. The significance of these flux adaptations is discussed.

Facebook sayfamıza katılın

Bilim tarafından desteklenen en eksiksiz şifalı otlar veritabanı

  • 55 dilde çalışır
  • Bilim destekli bitkisel kürler
  • Görüntüye göre bitki tanıma
  • Etkileşimli GPS haritası - bölgedeki bitkileri etiketleyin (yakında)
  • Aramanızla ilgili bilimsel yayınları okuyun
  • Şifalı bitkileri etkilerine göre arayın
  • İlgi alanlarınızı düzenleyin ve haber araştırmaları, klinik denemeler ve patentlerle güncel kalın

Bir belirti veya hastalık yazın ve yardımcı olabilecek bitkiler hakkında bilgi edinin, bir bitki yazın ve karşı kullanıldığı hastalıkları ve semptomları görün.
* Tüm bilgiler yayınlanmış bilimsel araştırmalara dayanmaktadır

Google Play badgeApp Store badge