PLoS ONE · 2014 · 31 citations · 62 references
Life SciencesBiologyPlant PathologyGene ExpressionTranscriptomicsViral Plant PathologyPlant Virus SymptomatologyPlant VirusesViral Diseases Of InsectsViral Rna BiologyConfocal Laser Scanning MicroscopyDeep Sequencing AnalysisEpidermal CellsPathogen Response TranscriptomicsRna Virus BiologyTranscriptome ProfilingViral Insect PathogensVirus-induced Gene Expression Changes
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.
62
Full-length transcriptome assembly from RNA-Seq data without a reference genome
Manfred Grabherr, Brian J. Haas, Moran Yassour et al. · Nature Biotechnology · 2011 · 22.6K citations · Full text
TopHat: discovering splice junctions with RNA-Seq
Cole Trapnell, Lior Pachter, Steven L. Salzberg · Bioinformatics · 2009 · 12.1K citations · Full text
agriGO: a GO analysis toolkit for the agricultural community
Zhou Du, Xin Zhou, Yi Ling et al. · Nucleic Acids Research · 2010 · 2.5K citations · Full text
Stem cell transcriptome profiling via massive-scale mRNA sequencing
Nicole Cloonan, Alistair R. R. Forrest, Gabriel Kolle et al. · Nature Methods · 2008 · 1K citations
Gibberellin-induced DELLA recognition by the gibberellin receptor GID1
Kohji Murase, Yoshinori Hirano, Tai‐ping Sun et al. · Nature · 2008 · 794 citations