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)
Scientific Reports 2017-Jan

Further characterization of Maize chlorotic mottle virus and its synergistic interaction with Sugarcane mosaic virus in maize.

Samo registrirani korisnici mogu prevoditi članke
Prijava Registriraj se
Veza se sprema u međuspremnik
Qiang Wang
Chao Zhang
Chunyan Wang
Yajuan Qian
Zhenghe Li
Jian Hong
Xueping Zhou

Ključne riječi

Sažetak

Maize chlorotic mottle virus (MCMV) was first reported in maize in China in 2009. In this study we further analyzed the epidemiology of MCMV and corn lethal necrosis disease (CLND) in China. We determined that CLND observed in China was caused by co-infection of MCMV and sugarcane mosaic virus (SCMV). Phylogenetic analysis using four full-length MCMV cDNA sequences obtained in this study and the available MCMV sequences retrieved from GenBank indicated that Chinese MCMV isolates were derived from the same source. To screen for maize germplasm resistance against MCMV infection, we constructed an infectious clone of MCMV isolate YN2 (pMCMV) and developed an Agrobacterium-mediated injection procedure to allow high throughput inoculations of maize with the MCMV infectious clone. Electron microscopy showed that chloroplast photosynthesis in leaves was significantly impeded by the co-infection of MCMV and SCMV. Mitochondria in the MCMV and SCMV co-infected cells were more severely damaged than in MCMV-infected cells. The results of this study provide further insight into the epidemiology of MCMV in China and shed new light on physiological and cytopathological changes related to CLND in maize.

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