Polish
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)
Bing du xue bao = Chinese journal of virology / [bian ji, Bing du xue bao bian ji wei yuan hui] 2015-Mar

[Identification of Host Factors Interacting with the Movement Protein of Apple Chlorotic Leaf Spot Virus by Yeast Two-Hybrid System].

Tylko zarejestrowani użytkownicy mogą tłumaczyć artykuły
Zaloguj się Zarejestruj się
Link zostanie zapisany w schowku
Yikun He
Min Zhong
Yu Zhang
Yanan Wang
Keqiang Cao

Słowa kluczowe

Abstrakcyjny

In order to identify host factors which interact with the movement protein (MP) of Apple chlorotic leaf spot virus (ACLSV), ACLSV MP was cloned into the bait vector pGBKT7 and used to screen a cDNA library of Malus sylvestris cv. R12740-7A, which had previously been constructed by yeast two-hybrid sequencing transformation. The protein functions of the identified host factors were determined according to their gene annotations in GenBank. The result showed that the bait plasmid pGBKT7-MP showed no virulence or self-activating effect on yeast strain Y2H Gold. Sixty-nine interactor proteins were identified, which were divided into the following 10 classes according to their described functions: hydrolases; pathogenesis-related proteins; DNA binding proteins; phosphatases; ligases; proteins with catalytic activity; phenylalanine ammonialyases; peroxidases; NAD binding proteins; and proteins of unknown function. Bioinformatic analysis of gene homology suggested that phosphatases, pathogenesis-related proteins and glyceraldehyde-3-phosphate dehydrogenase A may play an important role in the interaction between virus and host. This study may provide a theoretical basis for the further study of viral pathogenesis and virus-host interaction mechanisms.

Dołącz do naszej strony
na Facebooku

Najbardziej kompletna baza danych ziół leczniczych poparta naukowo

  • Działa w 55 językach
  • Ziołowe leki poparte nauką
  • Rozpoznawanie ziół na podstawie obrazu
  • Interaktywna mapa GPS - oznacz zioła na miejscu (wkrótce)
  • Przeczytaj publikacje naukowe związane z Twoim wyszukiwaniem
  • Szukaj ziół leczniczych po ich działaniu
  • Uporządkuj swoje zainteresowania i bądź na bieżąco z nowościami, badaniami klinicznymi i patentami

Wpisz objaw lub chorobę i przeczytaj o ziołach, które mogą pomóc, wpisz zioło i zobacz choroby i objawy, na które są stosowane.
* Wszystkie informacje oparte są na opublikowanych badaniach naukowych

Google Play badgeApp Store badge