Italian
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)
Biochemical and Biophysical Research Communications 2020-Jan

Host-induced gene silencing of the acetolactate synthases VdILV2 and VdILV6 confers resistance to Verticillium wilt in cotton (Gossypium hirsutum L.).

Solo gli utenti registrati possono tradurre articoli
Entra registrati
Il collegamento viene salvato negli appunti
Chunyan Wei
Tengfei Qin
Yuqing Li
Weipeng Wang
Tao Dong
Qinglian Wang

Parole chiave

Astratto

Cotton Verticillium wilt caused by Verticillium dahliae (V. dahliae) is one of the most destructive fungal diseases and is difficult to control. However, resistant germplasm resources are scarce in cotton. Many studies have shown that host-induced gene silencing (HIGS) is a practical and effective technology in crop disease prevention by silencing virulence genes of pathogens. Acetolactate synthase (ALS) contains a catalytic subunit ILV2 and a regulatory subunit ILV6, which catalyzes the first common step reaction in branched-chain amino acid (BCAA) biosynthesis. We identified two acetolactate synthases, VdILV2 and VdILV6, which are homologs of ILV2 and ILV6, respectively, in Magnaporthe oryzae. To characterize the function of VdILV2 and VdILV6 in V. dahliae, we suppressed their expression in the strong pathogenic isolate Vd991 by using HIGS technology. VdILV2- or VdILV6-silenced V. dahliae had a dramatic reduction in pathogenicity. The results indicated that VdILV2 and VdILV6 are involved in the pathogenicity of V. dahliae. HIGS of VdILV2 or VdILV6 provides a novel fungicide target and an effective control to resist Verticillium wilt caused by V. dahliae.

Unisciti alla nostra
pagina facebook

Il database di erbe medicinali più completo supportato dalla scienza

  • Funziona in 55 lingue
  • Cure a base di erbe sostenute dalla scienza
  • Riconoscimento delle erbe per immagine
  • Mappa GPS interattiva - tagga le erbe sul luogo (disponibile a breve)
  • Leggi le pubblicazioni scientifiche relative alla tua ricerca
  • Cerca le erbe medicinali in base ai loro effetti
  • Organizza i tuoi interessi e tieniti aggiornato sulle notizie di ricerca, sperimentazioni cliniche e brevetti

Digita un sintomo o una malattia e leggi le erbe che potrebbero aiutare, digita un'erba e osserva le malattie ei sintomi contro cui è usata.
* Tutte le informazioni si basano su ricerche scientifiche pubblicate

Google Play badgeApp Store badge