Kriton Kalantidis

Generation of transgenic potato plants highly resistant to potato virus Y (PVY) through RNA silencing

In this study we applied RNA silencing to engineer potato plants that are resistant to potato virus Y (PVY). We expressed double-stranded (ds) RNA derived from the 3′ terminal part of the coat protein gene of PVY, which is highly conserved in sequence amongst different PVY isolates, in transgenic potatoes of the commercial variety ‘Spunta’. Transgenic plants were analyzed for generation of transgene-derived short interfering RNAs (siRNAs) prior to virus inoculation. Twelve of fifteen transgenic lines produced siRNAs and were highly resistant to three strains of PVY, each belonging to three different subtypes of the virus (PVYN, PVYO and PVYNTN). Infection of transgenic plants with Potato virus X (PVX) simultaneously or prior to the challenge with PVY did not interfere with PVY-resistance.

Virp1 Is a Host Protein with a Major Role in Potato Spindle Tuber Viroid Infection in Nicotiana Plants

ABSTRACT Viroids are small, circular, single-stranded RNA molecules that, while not coding for any protein, cause several plant diseases. Viroids rely for their infectious cycle on host proteins, most of which are likely to be involved in endogenous RNA-mediated phenomena. Therefore, characterization of host factors interacting with the viroid may contribute to the elucidation of RNA-related pathways of the hosts. Potato spindle tuber viroid (PSTVd) infects several members of the Solanaceae family. In an RNA ligand screening we have previously isolated the tomato protein Virp1 by its ability to specifically interact with PSTVd positive-strand RNA. Virp1 is a bromodomain-containing protein with an atypical RNA binding domain and a nuclear localization signal. Here we investigate the role of Virp1 in the viroid infection cycle by the use of transgenic lines of Nicotiana tabacum and Nicotiana benthamiana that either overexpress the tomato Virp1 RNA or suppress the orthologous Nicotiana genes through RNA silencing. Plants of the Virp1-suppressed lines were not infected by PSTVd or Citrus exocortis viroid through mechanical inoculation, indicating a major role of Virp1 in viroid infection. On the other hand, overexpression of tomato Virp1 in N. tabacum and N. benthamiana plants did not affect PSTVd KF 440-2 infectivity or symptomatology in these species. Transfection experiments with isolated protoplasts revealed that Virp1-suppressed cells were unable to sustain viroid replication, suggesting that resistance to viroid infection in Virp1-suppressed plants is likely the result of cell-autonomous events.

Prediction of novel microRNA genes in cancer-associated genomic regions—a combined computational and experimental approach

The majority of existing computational tools rely on sequence homology and/or structural similarity to identify novel microRNA (miRNA) genes. Recently supervised algorithms are utilized to address this problem, taking into account sequence, structure and comparative genomics information. In most of these studies miRNA gene predictions are rarely supported by experimental evidence and prediction accuracy remains uncertain. In this work we present a new computational tool (SSCprofiler) utilizing a probabilistic method based on Profile Hidden Markov Models to predict novel miRNA precursors. Via the simultaneous integration of biological features such as sequence, structure and conservation, SSCprofiler achieves a performance accuracy of 88.95% sensitivity and 84.16% specificity on a large set of human miRNA genes. The trained classifier is used to identify novel miRNA gene candidates located within cancer-associated genomic regions and rank the resulting predictions using expression information from a full genome tiling array. Finally, four of the top scoring predictions are verified experimentally using northern blot analysis. Our work combines both analytical and experimental techniques to show that SSCprofiler is a highly accurate tool which can be used to identify novel miRNA gene candidates in the human genome. SSCprofiler is freely available as a web service at http://www.imbb.forth.gr/SSCprofiler.html.

Light intensity affects RNA silencing of a transgene in Nicotiana benthamiana plants

BackgroundExpression of exogenous sequences in plants is often suppressed through one of the earliest described RNA silencing pathways, sense post-transcriptional gene silencing (S-PTGS). This type of suppression has made significant contributions to our knowledge of the biology of RNA silencing pathways and has important consequences in plant transgenesis applications. Although significant progress has been made in recent years, factors affecting the stability of transgene expression are still not well understood. It has been shown before that the efficiency of RNA silencing in plants is influenced by various environmental factors.ResultsHere we report that a major environmental factor, light intensity, significantly affects the induction and systemic spread of S-PTGS. Moreover, we show that photoadaptation to high or low light intensity conditions differentially affects mRNA levels of major components of the RNA silencing machinery.ConclusionsLight intensity is one of the previously unknown factors that affect transgene stability at the post-transcriptional level. Our findings demonstrate an example of how environmental conditions could affect RNA silencing.

A Bromodomain-Containing Host Protein Mediates the Nuclear Importation of a Satellite RNA of Cucumber Mosaic Virus

ABSTRACT Replication of the satellite RNA (satRNA) of Cucumber Mosaic Virus is dependent on replicase proteins of helper virus (HV). However, we recently demonstrated that like with Potato spindle tuber viroid (PSTVd), a satRNA associated with Cucumber Mosaic Virus strain Q (Q-satRNA) has the propensity to localize in the nucleus and generate multimers that subsequently serve as templates for HV-dependent replication. But the mechanism regulating the nuclear importation of Q-satRNA is unknown. Here we show that the nuclear importation of Q-satRNA is mediated by a bromodomain-containing host protein (BRP1), which is also apparently involved in the nuclear localization of PSTVd. A comparative analysis of nuclear and cytoplasmic fractions from Nicotiana benthamiana plants coinfected with Q-satRNA and its HV confirmed the association of Q-satRNA but not HV with the nuclear compartment. A combination of the MS2-capsid protein-based RNA tagging assay and confocal microscopy demonstrated that the nuclear localization of Q-satRNA was completely blocked in transgenic lines of Nicotiana benthamiana (ph5.2nb) that are defective in BRP1 expression. This defect, however, was restored when the ph5.2nb lines of N. benthamiana were trans-complemented by ectopically expressed BRP1. The binding specificity of BRP1 with Q-satRNA was confirmed in vivo and in vitro by coimmunoprecipitation and electrophoretic mobility shift assays, respectively. Finally, infectivity assays involving coexpression of Q-satRNA and its HV in wild-type and ph5.2nb lines of N. benthamiana accentuated a biological role for BRP1 in the Q-satRNA infection cycle. The significance of these results in relation to a possible evolutionary relationship to viroids is discussed.

Virus-associated small satellite RNAs and viroids display similarities in their replication strategies.

Since the discovery of non-coding, small, highly structured, satellite RNAs (satRNAs) and viroids as subviral pathogens of plants , have been of great interest to molecular biologists as possible living fossils of pre-cellular evolution in an RNA world. Despite extensive studies performed in the last four decades, there is still mystery surrounding the origin and evolutionary relationship between these subviral pathogens. Recent technical advances revealed some commonly shared replication features between these two subviral pathogens. In this review, we discuss our current perception of replication and evolutionary origin of these petite RNA pathogens.

Hairpin transcription does not necessarily lead to efficient triggering of the RNAi pathway

Previously, we had shown that stable expression of a hairpin RNA sharing homology with the coat protein (CP) of the Cucumber mosaic virus (CMV) (hpRNACMV) produced CMV resistant Nicotiana tabacum plants. However, only 17% of the hpRNACMV-expressing plants generated substantial amounts of siRNAs that mediated CMV resistance (siRNAsCMV). Here, we demonstrate that the transcription of a hpRNACMV per se is not sufficient to trigger cytoplasmic and nuclear RNAi. A multiple-transgene copy line showed a strong resistance phenotype. Segregation of individual copies revealed that in one locus, the transgene-produced hpRNACMV transcript was processed into 21-nt and 24-nt siRNAsCMV and lines containing this locus were resistant. At a second locus, where the transgene was shown to be transcribed, no siRNAsCMV were produced and lines harbouring only this locus were susceptible. In addition, the second locus failed to trigger de novo RNA-directed DNA methylation (RdDM) in cis, of its cognate sequence. However, after being induced in trans, methylation in the transcribed region of the transgene was maintained in both CG and CHG residues. Sequence-specific maintenance of methylation in transcribed regions, as well as diverse RNA degradation pathways in plants are discussed in view of our observations.

Grafting the Way to the Systemic Silencing Signal in Plants

Grafting is a powerful but complex means to study the spread of RNA silencing

RNA silencing movement in plants

Multicellular organisms, like higher plants, need to coordinate their growth and development and to cope with environmental cues. To achieve this, various signal molecules are transported between neighboring cells and distant organs to control the fate of the recipient cells and organs. RNA silencing produces cell non-autonomous signal molecules that can move over short or long distances leading to the sequence specific silencing of a target gene in a well defined area of cells or throughout the entire plant, respectively. The nature of these signal molecules, the route of silencing spread, and the genes involved in their production, movement and reception are discussed in this review. Additionally, a short section on features of silencing spread in animal models is presented at the end of this review.

Prediction of miRNA targets.

Computational methods for miRNA target prediction are currently undergoing extensive review and evaluation. There is still a great need for improvement of these tools and bioinformatics approaches are looking towards high-throughput experiments in order to validate predictions. The combination of large-scale techniques with computational tools will not only provide greater credence to computational predictions but also lead to the better understanding of specific biological questions. Current miRNA target prediction tools utilize probabilistic learning algorithms, machine learning methods and even empirical biologically defined rules in order to build models based on experimentally verified miRNA targets. Large-scale protein downregulation assays and next-generation sequencing (NGS) are now being used to validate methodologies and compare the performance of existing tools. Tools that exhibit greater correlation between computational predictions and protein downregulation or RNA downregulation are considered the state of the art. Moreover, efficiency in prediction of miRNA targets that are concurrently verified experimentally provides additional validity to computational predictions and further highlights the competitive advantage of specific tools and their efficacy in extracting biologically significant results. In this review paper, we discuss the computational methods for miRNA target prediction and provide a detailed comparison of methodologies and features utilized by each specific tool. Moreover, we provide an overview of current state-of-the-art high-throughput methods used in miRNA target prediction.