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- W1996645904 abstract "Background Beet necrotic yellow vein virus (BNYVV), encodes either four or five plus-sense single stranded RNAs and is the causal agent of sugar beet rhizomania disease, which is widely distributed in most regions of the world. BNYVV can also infect Nicotiana benthamiana systemically, and causes severe curling and stunting symptoms in the presence of RNA4 or mild symptoms in the absence of RNA4. Results Confocal laser scanning microscopy (CLSM) analyses showed that the RNA4-encoded p31 protein fused to the red fluorescent protein (RFP) accumulated mainly in the nuclei of N. benthamiana epidermal cells. This suggested that severe RNA4-induced symptoms might result from p31-dependent modifications of the transcriptome. Therefore, we used next-generation sequencing technologies to analyze the transcriptome profile of N. benthamiana in response to infection with different isolates of BNYVV. Comparisons of the transcriptomes of mock, BN3 (RNAs 1+2+3), and BN34 (RNAs 1+2+3+4) infected plants identified 3,016 differentially expressed transcripts, which provided a list of candidate genes that potentially are elicited in response to virus infection. Our data indicate that modifications in the expression of genes involved in RNA silencing, ubiquitin-proteasome pathway, cellulose synthesis, and metabolism of the plant hormone gibberellin may contribute to the severe symptoms induced by RNA4 from BNYVV. Conclusions These results expand our understanding of the genetic architecture of N. benthamiana as well as provide valuable clues to identify genes potentially involved in resistance to BNYVV infection. Our global survey of gene expression changes in infected plants reveals new insights into the complicated molecular mechanisms underlying symptom development, and aids research into new strategies to protect crops against viruses." @default.
- W1996645904 created "2016-06-24" @default.
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- W1996645904 date "2014-01-09" @default.
- W1996645904 modified "2023-10-16" @default.
- W1996645904 title "Deep Sequencing–Based Transcriptome Profiling Reveals Comprehensive Insights into the Responses of Nicotiana benthamiana to Beet necrotic yellow vein virus Infections Containing or Lacking RNA4" @default.
- W1996645904 cites W137877459 @default.
- W1996645904 cites W1504404542 @default.
- W1996645904 cites W159696336 @default.
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- W1996645904 cites W1946742384 @default.
- W1996645904 cites W1978264814 @default.
- W1996645904 cites W1986069083 @default.
- W1996645904 cites W1987780906 @default.
- W1996645904 cites W1988549734 @default.
- W1996645904 cites W1992512552 @default.
- W1996645904 cites W2000189995 @default.
- W1996645904 cites W2002821316 @default.
- W1996645904 cites W2004419591 @default.
- W1996645904 cites W2006772434 @default.
- W1996645904 cites W2008567551 @default.
- W1996645904 cites W2023625976 @default.
- W1996645904 cites W2031698682 @default.
- W1996645904 cites W2031994133 @default.
- W1996645904 cites W2032007882 @default.
- W1996645904 cites W2032955073 @default.
- W1996645904 cites W2034561025 @default.
- W1996645904 cites W2036655095 @default.
- W1996645904 cites W2038555068 @default.
- W1996645904 cites W2043748917 @default.
- W1996645904 cites W2044023120 @default.
- W1996645904 cites W2046407819 @default.
- W1996645904 cites W2055770801 @default.
- W1996645904 cites W2056261250 @default.
- W1996645904 cites W2057914910 @default.
- W1996645904 cites W2060706976 @default.
- W1996645904 cites W2063053724 @default.
- W1996645904 cites W2064595932 @default.
- W1996645904 cites W2077363664 @default.
- W1996645904 cites W2081304063 @default.
- W1996645904 cites W2081854938 @default.
- W1996645904 cites W2083260329 @default.
- W1996645904 cites W2083761491 @default.
- W1996645904 cites W2084585162 @default.
- W1996645904 cites W2095073428 @default.
- W1996645904 cites W2097065948 @default.
- W1996645904 cites W2104217018 @default.
- W1996645904 cites W2105776281 @default.
- W1996645904 cites W2109066827 @default.
- W1996645904 cites W2110128669 @default.
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- W1996645904 cites W2116166762 @default.
- W1996645904 cites W2121355028 @default.
- W1996645904 cites W2126419817 @default.
- W1996645904 cites W2127026028 @default.
- W1996645904 cites W2127409485 @default.
- W1996645904 cites W2131970248 @default.
- W1996645904 cites W2136720667 @default.
- W1996645904 cites W2137761491 @default.
- W1996645904 cites W2139999800 @default.
- W1996645904 cites W2141235674 @default.
- W1996645904 cites W2142967323 @default.
- W1996645904 cites W2144662137 @default.
- W1996645904 cites W2145839489 @default.
- W1996645904 cites W2151425828 @default.
- W1996645904 cites W2159746639 @default.
- W1996645904 cites W2162431676 @default.
- W1996645904 cites W2162898739 @default.
- W1996645904 cites W2164802238 @default.
- W1996645904 cites W2167248105 @default.
- W1996645904 cites W2168475006 @default.
- W1996645904 cites W2168862476 @default.
- W1996645904 cites W2170846300 @default.
- W1996645904 cites W2391402588 @default.
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- W1996645904 doi "https://doi.org/10.1371/journal.pone.0085284" @default.
- W1996645904 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3887015" @default.
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