21 research outputs found
Complete nucleotide sequence of a potato isolate of strain group C of Potato virus Y from 1938
The complete genomic sequence of an isolate (PRI-509) of the C strain of Potato virus Y (PVYC), which was originally isolated from potato in 1938, was elucidated. The genomic RNA of PRI-509 consists of 9699 nucleotides, with the capacity to encode a polyprotein of 3061 amino acids with a molecular mass of 337Â kDa
Mixed viral infection constrains the genome formula of multipartite cucumber mosaic virus
Many plant viruses have a multipartite organization, with multiple genome segments packaged into separate virus particles. The genome formula describes the relative frequencies of all viral genome segments, and previous work suggests rapid changes in these frequencies facilitate virus adaptation. Many studies have reported mixed viral infections in plants, often resulting in strong virus–virus interactions. Here, we tested whether mixed infections with tripartite alfalfa mosaic virus (AMV) and monopartite potato virus Y (PVY) affected the genome formula of the tripartite cucumber mosaic virus (CMV), our experimental model. We found that the CMV titer was reduced in mixed infections with its tripartite Bromoviridae relative AMV and in triple infections with both AMV and PVY, indicating notable virus–virus interactions. The variability of the CMV genome formula was significantly lower in mixed infections (CMV and AMV, CMV and PVY, and CMV and AMV and PVY) than in single infections (CMV only). These observations led to the surprising conclusion that mixed infections with two distinct viruses constrain the CMV genome formula. It remains unclear how common these effects are for different combinations of virus species and strains and what the underlying mechanisms are. We, therefore, extended a simulation model to consider three putative scenarios in which a second virus affected the genome formula. The simulation results also suggested that shifts in the genome formula occur, but may not be widespread due to the required conditions. One scenario modeled—co-infection exclusion through niche differentiation—was congruent with the experimental data, as this scenario led to reductions in genome formula variability and titer of the multipartite virus. Whereas previous studies highlighted host–species effects, our results indicate that the genome formula is also affected by mixed infections, suggesting that there is a broader set of environmental cues that affect the genome formula
Arabidopsis latent virus 1, a comovirus widely spread in Arabidopsis thaliana collections
Transcriptome studies of Illumina RNA-Seq datasets of different Arabidopsis thaliana natural accessions and T-DNA mutants revealed the presence of two virus-like RNA sequences which showed the typical two-segmented genome characteristics of a comovirus. This comovirus did not induce any visible symptoms in infected A. thaliana plants cultivated under standard laboratory conditions. Hence it was named Arabidopsis latent virus 1 (ArLV1). Virus infectivity in A. thaliana plants was confirmed by quantitative reverse transcription polymerase chain reaction, transmission electron microscopy and mechanical inoculation. Arabidopsis latent virus 1 can also mechanically infect Nicotiana benthamiana, causing distinct mosaic symptoms. A bioinformatics investigation of A. thaliana RNA-Seq repositories, including nearly 6500 Sequence Read Archives (SRAs) in the NCBI SRA database, revealed the presence of ArLV1 in 25% of all archived natural A. thaliana accessions and in 8.5% of all analyzed SRAs. Arabidopsis latent virus 1 could also be detected in A. thaliana plants collected from the wild. Arabidopsis latent virus 1 is highly seed-transmissible with up to 40% incidence on the progeny derived from infected A. thaliana plants. This has probably led to a worldwide distribution in the model plant A. thaliana with as yet unknown effects on plant performance in a substantial number of studies
Host range and symptomatology of Pepino mosaic virus strains occurring in Europe
Pepino mosaic virus (PepMV) has caused great concern in the greenhouse tomato industry after it was found causing a new disease in tomato in 1999. The objective of this paper is to investigate alternative hosts and compare important biological characteristics of the three PepMV strains occurring in Europe when tested under different environmental conditions. To this end we compared the infectivity and symptom development of three, well characterized isolates belonging to three different PepMV strains, EU-tom, Ch2 and US1, by inoculating them on tomato, possible alternative host plants in the family Solanaceae and selected test plants. The inoculation experiments were done in 10 countries from south to north in Europe. The importance of alternative hosts among the solanaceous crops and the usefulness of test plants in the biological characterization of PepMV isolates are discussed. Our data for the three strains tested at 10 different European locations with both international and local cultivars showed that eggplant is an alternative host of PepMV. Sweet pepper is not an important host of PepMV, but potato can be infected when the right isolate is matched with a specific cultivar. Nicotiana occidentalis 37B is a useful indicator plant for PepMV studies, since it reacts with a different symptomatology to each one of the PepMV strains.Ravnikar, M.; Blystad, D.; Van Der Vlugt, R.; Alfaro Fernández, AO.; Del Carmen Cordoba, M.; Bese, G.; Hristova, D.... (2015). Host range and symptomatology of Pepino mosaic virus strains occurring in Europe. European Journal of Plant Pathology. 143(1):43-56. doi:10.1007/s10658-015-0664-1S43561431Alfaro-Fernández, A., CĂłrdoba-SellĂ©s, M. C., Herrera-Vásquez, J. A., Cebrián, M. C., & Jordá, C. (2009). Transmission of Pepino mosaic virus by the fungal vector Olpidium virulentus. Journal of Phytopathology, 158, 217–226.Charmichael, D. J., Rey, M. E. C., Naidoo, S., Cook, G., & van Heerden, S. W. (2011). First report of Pepino mosaic virus infecting tomato in South Africa. Plant Disease, 95(6), 767.2.CĂłrdoba, M. C., MartĂnez-Priego, L., & Jordá, C. (2004). New natural hosts of Pepino mosaic virus in Spain. Plant Disease, 88, 906.CĂłrdoba-SellĂ©s, M. C., GarcĂa-Rández, A., Alfaro-Fernández, A., & Jordá-GutiĂ©rrez, C. (2007). Seed transmission of pepino mosaic virus and efficacy of tomato seed disinfection treatments. Plant Disease, 91, 1250–1254.Efthimiou, K. E., Gatsios, A. P., Aretakis, K. C., Papayannis, L. C., & Katis, N. I. (2011). First report of Pepino mosaic virus infecting greenhouse cherry tomato in Greece. Plant Disease, 95(1), 78.2.Fakhro, A., von Bargen, S., Bandte, M., BĂĽttner, C., Franken, P., & Schwarz, D. (2011). Susceptibility of different plant species and tomato cultivars to two isolates of Pepino mosaic virus. European Journal of Plant Pathology, 129, 579–590.GĂłmez, P., Sempere, R. 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Secoviridae: a proposed family of plant viruses within the order Picornavirales that combines the families Sequiviridae and Comoviridae, the unassigned genera Cheravirus and Sadwavirus, and the proposed genus Torradovirus
Evaluation of sequencing and PCR-based methods for the quantification of the viral genome formula
Viruses show great diversity in their genome organization. Multipartite viruses package their genome segments into separate particles, most or all of which are required to initiate infection in the host cell. The benefits of such seemingly inefficient genome organization are not well understood. One hypothesised benefit of multipartition is that it allows for flexible changes in gene expression by altering the frequency of each genome segment in different environments, such as encountering different host species. The ratio of the frequency of segments is termed the genome formula (GF). Thus far, formal studies quantifying the GF have been performed for well-characterised virus-host systems in experimental settings using RT-qPCR. However, to understand GF variation in natural populations or novel virus-host systems, a comparison of several methods for GF estimation including high-throughput sequencing (HTS) based methods is needed. Currently, it is unclear how HTS-methods compare a golden standard, such as RT-qPCR. Here we show a comparison of multiple GF quantification methods (RT-qPCR, RT-digital PCR, Illumina RNAseq and Nanopore direct RNA sequencing) using three host plants (Nicotiana tabacum, Nicotiana benthamiana, and Chenopodium quinoa) infected with cucumber mosaic virus (CMV), a tripartite RNA virus. Our results show that all methods give roughly similar results, though there is a significant method effect on genome formula estimates. While the RT-qPCR and RT-dPCR GF estimates are congruent, the GF estimates from HTS methods deviate from those found with PCR. Our findings emphasize the need to tailor the GF quantification method to the experimental aim, and highlight that it may not be possible to compare HTS and PCR-based methods directly. The difference in results between PCR-based methods and HTS highlights that the choice of quantification technique is not trivial
Evaluation of sequencing and PCR-based methods for the quantification of the viral genome formula
Viruses show great diversity in their genome organization. Multipartite viruses package their genome segments into separate particles, most or all of which are required to initiate infection in the host cell. The benefits of such seemingly inefficient genome organization are not well understood. One hypothesised benefit of multipartition is that it allows for flexible changes in gene expression by altering the frequency of each genome segment in different environments, such as encountering different host species. The ratio of the frequency of segments is termed the genome formula (GF). Thus far, formal studies quantifying the GF have been performed for well-characterised virus-host systems in experimental settings using RT-qPCR. However, to understand GF variation in natural populations or novel virus-host systems, a comparison of several methods for GF estimation including high-throughput sequencing (HTS) based methods is needed. Currently, it is unclear how HTS-methods compare a golden standard, such as RT-qPCR. Here we show a comparison of multiple GF quantification methods (RT-qPCR, RT-digital PCR, Illumina RNAseq and Nanopore direct RNA sequencing) using three host plants (Nicotiana tabacum, Nicotiana benthamiana, and Chenopodium quinoa) infected with cucumber mosaic virus (CMV), a tripartite RNA virus. Our results show that all methods give roughly similar results, though there is a significant method effect on genome formula estimates. While the RT-qPCR and RT-dPCR GF estimates are congruent, the GF estimates from HTS methods deviate from those found with PCR. Our findings emphasize the need to tailor the GF quantification method to the experimental aim, and highlight that it may not be possible to compare HTS and PCR-based methods directly. The difference in results between PCR-based methods and HTS highlights that the choice of quantification technique is not trivial
Predictions of the number of isolates of each pospiviroid species that will be detected using universal and species-specific assays of the Luminex MagPlex-TAG pospiviroid array.
<p>Predictions of the number of isolates of each pospiviroid species that will be detected using universal and species-specific assays of the Luminex MagPlex-TAG pospiviroid array.</p
Percentages of false positive and false negative results for Luminex MagPlex-TAG pospiviroid array data when analyzed using three different methods for setting thresholds for positivity.
<p>Percentages of false positive and false negative results for Luminex MagPlex-TAG pospiviroid array data when analyzed using three different methods for setting thresholds for positivity.</p
Details of pospiviroid isolates used for validation of the Luminex MagPlex-TAG pospiviroid array.
<p>Details of pospiviroid isolates used for validation of the Luminex MagPlex-TAG pospiviroid array.</p