論文

査読有り
2005年3月

Evidence that RNA silencing-mediated resistance to Beet necrotic yellow vein virus is less effective in roots than in leaves

MOLECULAR PLANT-MICROBE INTERACTIONS
  • IB Andika
  • ,
  • H Kondo
  • ,
  • T Tamada

18
3
開始ページ
194
終了ページ
204
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1094/MPMI-18-0194
出版者・発行元
AMER PHYTOPATHOLOGICAL SOC

In plants, RNA silencing is part of a defense mechanism against virus infection but there is little information as to whether RNA silencing-mediated resistance functions similarly in roots and leaves. We have obtained transgenic Nicotiana benthamiana plants encoding the coat protein readthrough domain open reading frame (54 kDa) of Beet necrotic yellow vein virus (BNYVV), which either showed a highly resistant or a recovery phenotype following foliar rub-inoculation with BNYVV. These phenotypes were associated with an RNA silencing mechanism. Roots of the resistant plants that were immune to foliar rub-inoculation with BNYVV could be infected by viruliferous zoo-spores of the vector fungus Polymyxa betae, although virus multiplication was greatly limited. In addition, virus titer was reduced in symptomless leaves of the plants showing the recovery phenotype, but it was high in roots of the same plants. Compared with leaves of silenced plants, higher levels of transgene mRNAs and lower levels of transgene-derived small interfering RNAs (siRNAs) accumulated in roots. Similarly, in nontransgenic plants inoculated with BNYVV, accumulation level of viral RNA-derived siRNAs in roots was lower than in leaves. These results indicate that the RNA silencing-mediated resistance to BNYVV is less effective in roots than in leaves.

リンク情報
DOI
https://doi.org/10.1094/MPMI-18-0194
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/15782633
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000227162400002&DestApp=WOS_CPL
ID情報
  • DOI : 10.1094/MPMI-18-0194
  • ISSN : 0894-0282
  • PubMed ID : 15782633
  • Web of Science ID : WOS:000227162400002

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