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 Reports 2013-Sep

Identification of MV-generated ROS responsive EST clones in floral buds of Litchi chinensis Sonn.

Samo registrirani korisnici mogu prevoditi članke
Prijava Registriraj se
Veza se sprema u međuspremnik
Wei-Wei Liu
Hye-Ji Kim
Hou-Bin Chen
Xing-Yu Lu
Bi-Yan Zhou

Ključne riječi

Sažetak

CONCLUSIONS

A suppression subtractive hybridization library was constructed using inflorescence primordia of 'Nuomici' litchi to identify EST clones responsive to MV-generated ROS. 93 ESTs could be aligned as unique gene sequences in the inflorescence primordia of litchi. Litchi is an evergreen woody tree widely cultivated in subtropical and tropical regions. However, defective flowering is a pending problem of litchi production. Our previous study indicated that reactive oxygen species (ROS) induced by methyl viologen dichloride hydrate (MV) promotes flowering in litchi. In the present study, a suppression subtractive hybridization (SSH) library was constructed using inflorescence primordia of 'Nuomici' with the aim to find out ROS responsive clones during floral differentiation. 1856 Expressed sequence tag (EST) clones were randomly selected. Clones carrying single exogenous fragments were screened by reverse northern analysis to identify those responsive to MV-generated ROS. A total of 783 differentially expressed EST clones were identified as MV responsive cDNA and were subjected to sequencing. Among them, 26 clones were represented more than three times. 783 clones were aligned to 93 unique gene sequences. The unique genes were classified into 9 categories. 16 % of them were involved in transport facilitation, 11 % in transcription regulation, 4 % in stress response, 9 % in carbohydrate metabolism, 1 % in secondary metabolism, 14 % in intracellular signaling, and 25 % in other metabolism, while 9 % were genes with unknown functions and 11 % were genes with no match in the database.

Pridružite se našoj
facebook stranici

Najkompletnija baza ljekovitog bilja potpomognuta znanošću

  • Radi na 55 jezika
  • Biljni lijekovi potpomognuti znanošću
  • Prepoznavanje bilja slikom
  • Interaktivna GPS karta - označite bilje na mjestu (uskoro)
  • Pročitajte znanstvene publikacije povezane s vašom pretragom
  • Pretražite ljekovito bilje po učincima
  • Organizirajte svoje interese i budite u toku s istraživanjem vijesti, kliničkim ispitivanjima i patentima

Upišite simptom ili bolest i pročitajte o biljkama koje bi mogle pomoći, unesite travu i pogledajte bolesti i simptome protiv kojih se koristi.
* Svi podaci temelje se na objavljenim znanstvenim istraživanjima

Google Play badgeApp Store badge