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)
Archives of Virology 2007

Nucleotide sequence of the S and M RNA segments of a Groundnut bud necrosis virus isolate from Vigna radiata in India.

Hanya pengguna terdaftar yang dapat menerjemahkan artikel
Masuk daftar
Tautan disimpan ke clipboard
R K Saritha
R K Jain

Kata kunci

Abstrak

Nucleotide sequence of the S and M RNA segments of a Groundnut bud necrosis virus isolate from Vigna radiata (mungbean isolate, GBNV-MB) was determined and compared with another isolate from Arachis hypogaea (groundnut isolate, GBNV-type). Comparative sequence analysis revealed that the genome organization of the S and M RNA segments of both GBNV-MB and GBNV-type isolates was similar. However, considerable differences were observed in their intergenic regions (IGRs) and the glycoprotein precursors (Gn/Gc) of the M RNA segments. M RNA IGRs of GBNV-MB and GBNV-type isolates differed in size by 14 nucleotides. This difference was of 75 nucleotides in another GBNV isolate from Lycopersicon esculentum (tomato). Sequence comparison of the M RNA IGRs of GBNV isolates from mungbean, groundnut and tomato from India revealed 56-89% sequence identity. The topology of Gn/Gc revealed the presence of both N-glycosylation (5) and O-glycosylation (1) sites in GBNV-MB isolate, whereas only N-glycosylation sites (4) were present in GBNV-type isolate.

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