Indonesian
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)
Natural Product Communications 2015-May

Effect of caffeine on the expression pattern of water-soluble proteins in rice (Oryza sativa) seedlings.

Hanya pengguna terdaftar yang dapat menerjemahkan artikel
Masuk daftar
Tautan disimpan ke clipboard
Wei-Wei Deng
Hamako Sasamoto
Hiroshi Ashihara

Kata kunci

Abstrak

It has been suggested that caffeine acts as an allelochemical which influences the germination and growth of plants. The effect of caffeine on the expression profiles of proteins was investigated in shoot-root axes of rice (Oryza sativa) seedlings. Two-dimensional difference gel electrophoresis combined with Matrix-Assisted Laser Desorption/Ionization Time of Flight/Time of Flight Mass Spectrometry was employed for the separation and identification of proteins. The results indicated that amounts of 51 protein spots were reduced and 14 were increased by treatment with 1 mM caffeine. Twelve rice seedling proteins were identified. Down-regulated proteins were β-tubulin, sucrose synthase, glyceraldehyde-3-phosphate dehydrogenase, reversibly glycosylated polypeptide/α-1,4-glucan protein synthase and cytoplasmic malate dehydrogenase. In contrast, up-regulated proteins were alanyl-aminopeptidase, acetyl-CoA carboxylase, adenine phosphoribosyltransferase, NAD-malate dehydrogenase, ornithine carbamoyltransferase, glucose-6-phosphate isomerase and nuclear RNA binding protein. Possible alternation of metabolism caused by caffeine is discussed with the protein expression data.

Bergabunglah dengan
halaman facebook kami

Database tanaman obat terlengkap yang didukung oleh sains

  • Bekerja dalam 55 bahasa
  • Pengobatan herbal didukung oleh sains
  • Pengenalan herbal melalui gambar
  • Peta GPS interaktif - beri tag herba di lokasi (segera hadir)
  • Baca publikasi ilmiah yang terkait dengan pencarian Anda
  • Cari tanaman obat berdasarkan efeknya
  • Atur minat Anda dan ikuti perkembangan berita, uji klinis, dan paten

Ketikkan gejala atau penyakit dan baca tentang jamu yang mungkin membantu, ketik jamu dan lihat penyakit dan gejala yang digunakan untuk melawannya.
* Semua informasi didasarkan pada penelitian ilmiah yang dipublikasikan

Google Play badgeApp Store badge