1,395 research outputs found

    On the Need for Adoption of the Sports Code of the Republic of Belarus

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    This article discusses the need for the adoption of the Sports Code. The national legislation in the field of sports is analyzed. Foreign experience and its positive impact on the development of sports are considered. The positive and negative aspects following the adoption of the Sports Code are predicted

    The \u3cem\u3elet-7\u3c/em\u3e MicroRNA Family Members \u3cem\u3emir\u3c/em\u3e-48, \u3cem\u3emir\u3c/em\u3e-84, and mir-241 Function Together to Regulate Developmental Timing in \u3cem\u3eCaenorhabditis elegans\u3c/em\u3e

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    The microRNA let-7 is a critical regulator of developmental timing events at the larval-to-adult transition in C. elegans. Recently, microRNAs with sequence similarity to let-7 have been identified. We find that doubly mutant animals lacking the let-7 family microRNA genes mir-48 and mir-84 exhibit retarded molting behavior and retarded adult gene expression in the hypodermis. Triply mutant animals lacking mir-48, mir-84, and mir-241 exhibit repetition of L2-stage events in addition to retarded adult-stage events. mir-48, mir-84, and mir-241 function together to control the L2-to-L3 transition, likely by base pairing to complementary sites in the hbl-1 3′ UTR and downregulating hbl-1 activity. Genetic analysis indicates that mir-48, mir-84, and mir-241 specify the timing of the L2-to-L3 transition in parallel to the heterochronic genes lin-28 and lin-46. These results indicate that let-7 family microRNAs function in combination to affect both early and late developmental timing decisions

    Pseudomonas aeruginosa cleaves the decoding center of Caenorhabditis elegans ribosomes

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    Pathogens such as Pseudomonas aeruginosa advantageously modify animal host physiology, for example, by inhibiting host protein synthesis. Translational inhibition of insects and mammalian hosts by P. aeruginosa utilizes the well-known exotoxin A effector. However, for the infection of Caenorhabditis elegans by P. aeruginosa, the precise pathways and mechanism(s) of translational inhibition are not well understood. We found that upon exposure to P. aeruginosa PA14, C. elegans undergoes a rapid loss of intact ribosomes accompanied by the accumulation of ribosomes cleaved at helix 69 (H69) of the 26S ribosomal RNA (rRNA), a key part of ribosome decoding center. H69 cleavage is elicited by certain virulent P. aeruginosa isolates in a quorum sensing (QS)-dependent manner and independently of exotoxin A-mediated translational repression. H69 cleavage is antagonized by the 3 major host defense pathways defined by the pmk-1, fshr-1, and zip-2 genes. The level of H69 cleavage increases with the bacterial exposure time, and it is predominantly localized in the worm\u27s intestinal tissue. Genetic and genomic analysis suggests that H69 cleavage leads to the activation of the worm\u27s zip-2-mediated defense response pathway, consistent with translational inhibition. Taken together, our observations suggest that P. aeruginosa deploys a virulence mechanism to induce ribosome degradation and H69 cleavage of host ribosomes. In this manner, P. aeruginosa would impair host translation and block antibacterial responses

    On the Need for Adoption of the Sports Code of the Republic of Belarus

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    This article discusses the need for the adoption of the Sports Code. The national legislation in the field of sports is analyzed. Foreign experience and its positive impact on the development of sports are considered. The positive and negative aspects following the adoption of the Sports Code are predicted

    Most \u3cem\u3eCaenorhabditis elegans\u3c/em\u3e MicroRNAs are Individually Not Essential for Development or Viability

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    MicroRNAs (miRNAs), a large class of short noncoding RNAs found in many plants and animals, often act to post-transcriptionally inhibit gene expression. We report the generation of deletion mutations in 87 miRNA genes in Caenorhabditis elegans, expanding the number of mutated miRNA genes to 95, or 83% of known C. elegans miRNAs. We find that the majority of miRNAs are not essential for the viability or development of C. elegans, and mutations in most miRNA genes do not result in grossly abnormal phenotypes. These observations are consistent with the hypothesis that there is significant functional redundancy among miRNAs or among gene pathways regulated by miRNAs. This study represents the first comprehensive genetic analysis of miRNA function in any organism and provides a unique, permanent resource for the systematic study of miRNAs

    How to minimise the effect of tumour cell content in detection of aberrant genetic markers in neuroblastoma

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    Background:Clinical heterogeneity reflects the complexity of genetic events associated with neuroblastoma (NB). To identify the status of all described genetic loci with possible prognostic interest, high-throughput approaches have been used, but only with tumour cell content >60%. In some tumours, necrotic, haemorrhagic and/or calcification areas influence the low amount of neuroblasts. We evaluated the effect of tumour cell content in the detection of relevant aberrant genetic markers (AGM) diagnosed by fluorescence in situ hybridisation (FISH) on tissue microarrays (TMA) in NB.Methods:Two hundred and thirty-three MYCN non-amplified primary NB included in 12 TMAs were analysed.Results:Presence of AGM reduced event-free survival (EFS) (P=0.004) as well as overall survival (OS) (P=0.004) of patients in the whole cohort. There were no differences in prognostic impact of presence of AGM according to tumour cell content.Conclusion:We propose the use of FISH to diagnose AGM of all NB samples having the above-mentioned areas to determine patient risk

    Viral Fitness Correlates with the Magnitude and Direction o the Perturbation Induced in the Host's Transcriptome: The Tobacco Etch Potyvirus-Tobacco Case Study

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    [EN] Determining the fitness of viral genotypes has become a standard practice in virology as it is essential to evaluate their evolutionary potential. Darwinian fitness, defined as the advantage of a given genotype with respect to a reference one, is a complex property that captures, in a single figure, differences in performance at every stage of viral infection. To what extent does viral fitness result from specific molecular interactions with host factors and regulatory networks during infection? Can we identify host genes in functional classes whose expression depends on viral fitness? Here, we compared the transcriptomes of tobacco plants infected with seven genotypes of tobacco etch potyvirus that differ in fitness. We found that the larger the fitness differences among genotypes, the more dissimilar the transcriptomic profiles are. Consistently, two different mutations, one in the viral RNA polymerase and another in the viral suppressor of RNA silencing, resulted in significantly similar gene expression profiles. Moreover, we identified host genes whose expression showed a significant correlation, positive or negative, with the virus' fitness. Differentially expressed genes which were positively correlated with viral fitness activate hormone- and RNA silencing-mediated pathways of plant defense. In contrast, those that were negatively correlated with fitness affect metabolism, reducing growth, and development. Overall, these results reveal the high information content of viral fitness and suggest its potential use to predict differences in genomic profiles of infected hosts.We thank Francisca de la Iglesia and Paula Agudo for excellent technical assistance, the EvolSysVir lab members for help, comments and discussions, Rachel Whitaker for English proofreading, and Lorena Latorre (IBMCP Genomics Service) and Javier Forment (IBMCP Bioinformatics Service) for their assistance. This research was supported by grants from Spain's Agencia Estatal de Investigacion-FEDER (BFU2012-30805 and BFU2015-65037-P to S.F.E. and BFU2015-66894-P to G.R.) and Generalitat Valenciana (PROMETEOII/2014/021).Cervera-Benet, H.; Ambros Palaguerri, S.; Bernet, GP.; Rodrigo Tarrega, G.; Elena Fito, SF. (2018). Viral Fitness Correlates with the Magnitude and Direction o the Perturbation Induced in the Host's Transcriptome: The Tobacco Etch Potyvirus-Tobacco Case Study. Molecular Biology and Evolution. 35(7):1599-1615. https://doi.org/10.1093/molbev/msy038S15991615357Acevedo, A., Brodsky, L., & Andino, R. (2013). Mutational and fitness landscapes of an RNA virus revealed through population sequencing. Nature, 505(7485), 686-690. doi:10.1038/nature12861Agudelo-Romero, P., Carbonell, P., Perez-Amador, M. A., & Elena, S. F. (2008). Virus Adaptation by Manipulation of Host’s Gene Expression. PLoS ONE, 3(6), e2397. doi:10.1371/journal.pone.0002397Alamillo, J. M., Saénz, P., & García, J. A. (2006). Salicylic acid-mediated and RNA-silencing defense mechanisms cooperate in the restriction of systemic spread of plum pox virus in tobacco. The Plant Journal, 48(2), 217-227. doi:10.1111/j.1365-313x.2006.02861.xAlonso, R., Salavert, F., Garcia-Garcia, F., Carbonell-Caballero, J., Bleda, M., Garcia-Alonso, L., … Dopazo, J. (2015). Babelomics 5.0: functional interpretation for new generations of genomic data. Nucleic Acids Research, 43(W1), W117-W121. doi:10.1093/nar/gkv384Bailer, S., & Haas, J. (2009). Connecting viral with cellular interactomes. Current Opinion in Microbiology, 12(4), 453-459. doi:10.1016/j.mib.2009.06.004Barabási, A.-L., Gulbahce, N., & Loscalzo, J. (2010). Network medicine: a network-based approach to human disease. Nature Reviews Genetics, 12(1), 56-68. doi:10.1038/nrg2918Bedoya, L. C., & Daròs, J.-A. (2010). Stability of Tobacco etch virus infectious clones in plasmid vectors. Virus Research, 149(2), 234-240. doi:10.1016/j.virusres.2010.02.004Bernet, G. P., & Elena, S. F. (2015). Distribution of mutational fitness effects and of epistasis in the 5’ untranslated region of a plant RNA virus. BMC Evolutionary Biology, 15(1). doi:10.1186/s12862-015-0555-2Bolstad, B. M., Irizarry, R. ., Astrand, M., & Speed, T. P. (2003). A comparison of normalization methods for high density oligonucleotide array data based on variance and bias. Bioinformatics, 19(2), 185-193. doi:10.1093/bioinformatics/19.2.185Bouquin, T., Meier, C., Foster, R., Nielsen, M. E., & Mundy, J. (2001). Control of Specific Gene Expression by Gibberellin and Brassinosteroid. Plant Physiology, 127(2), 450-458. doi:10.1104/pp.010173Brazma, A., Hingamp, P., Quackenbush, J., Sherlock, G., Spellman, P., Stoeckert, C., … Vingron, M. (2001). Minimum information about a microarray experiment (MIAME)—toward standards for microarray data. Nature Genetics, 29(4), 365-371. doi:10.1038/ng1201-365Carrasco, P., Daròs, J. A., Agudelo-Romero, P., & Elena, S. F. (2007). A real-time RT-PCR assay for quantifying the fitness of tobacco etch virus in competition experiments. Journal of Virological Methods, 139(2), 181-188. doi:10.1016/j.jviromet.2006.09.020Carrasco, P., de la Iglesia, F., & Elena, S. F. (2007). Distribution of Fitness and Virulence Effects Caused by Single-Nucleotide Substitutions in Tobacco Etch Virus. Journal of Virology, 81(23), 12979-12984. doi:10.1128/jvi.00524-07Cervera, H., Lalić, J., & Elena, S. F. (2016). Effect of Host Species on Topography of the Fitness Landscape for a Plant RNA Virus. Journal of Virology, 90(22), 10160-10169. doi:10.1128/jvi.01243-16Chao, L. (1990). Fitness of RNA virus decreased by Muller’s ratchet. Nature, 348(6300), 454-455. doi:10.1038/348454a0Codoñer, F. M., Darós, J.-A., Solé, R. V., & Elena, S. F. (2006). The Fittest versus the Flattest: Experimental Confirmation of the Quasispecies Effect with Subviral Pathogens. PLoS Pathogens, 2(12), e136. doi:10.1371/journal.ppat.0020136Cui, H., Gobbato, E., Kracher, B., Qiu, J., Bautor, J., & Parker, J. E. (2016). A core function of EDS1 with PAD4 is to protect the salicylic acid defense sector in Arabidopsis immunity. New Phytologist, 213(4), 1802-1817. doi:10.1111/nph.14302Da Silva, J., & Wyatt, S. K. (2014). Fitness valleys constrain HIV-1’s adaptation to its secondary chemokine coreceptor. Journal of Evolutionary Biology, 27(3), 604-615. doi:10.1111/jeb.12329De la Iglesia, F., & Elena, S. F. (2007). Fitness Declines in Tobacco Etch Virus upon Serial Bottleneck Transfers. Journal of Virology, 81(10), 4941-4947. doi:10.1128/jvi.02528-06Denyer, K., Clarke, B., Hylton, C., Tatge, H., & Smith, A. M. (1996). The elongation of amylose and amylopectin chains in isolated starch granules. The Plant Journal, 10(6), 1135-1143. doi:10.1046/j.1365-313x.1996.10061135.xDomingo, E., & Holland, J. J. (1997). RNA VIRUS MUTATIONS AND FITNESS FOR SURVIVAL. Annual Review of Microbiology, 51(1), 151-178. doi:10.1146/annurev.micro.51.1.151Domingo-Calap, P., Cuevas, J. M., & Sanjuán, R. (2009). The Fitness Effects of Random Mutations in Single-Stranded DNA and RNA Bacteriophages. PLoS Genetics, 5(11), e1000742. doi:10.1371/journal.pgen.1000742Duarte, E., Clarke, D., Moya, A., Domingo, E., & Holland, J. (1992). Rapid fitness losses in mammalian RNA virus clones due to Muller’s ratchet. Proceedings of the National Academy of Sciences, 89(13), 6015-6019. doi:10.1073/pnas.89.13.6015Elena, S. F., & Rodrigo, G. (2012). Towards an integrated molecular model of plant–virus interactions. Current Opinion in Virology, 2(6), 719-724. doi:10.1016/j.coviro.2012.09.004Fernandez-Pozo, N., Menda, N., Edwards, J. D., Saha, S., Tecle, I. Y., Strickler, S. R., … Mueller, L. A. (2014). The Sol Genomics Network (SGN)—from genotype to phenotype to breeding. Nucleic Acids Research, 43(D1), D1036-D1041. doi:10.1093/nar/gku1195Finzer, P. (2017). How we become ill. EMBO reports, 18(4), 515-518. doi:10.15252/embr.201743948Friedel, C. C., & Haas, J. (2011). Virus–host interactomes and global models of virus-infected cells. Trends in Microbiology, 19(10), 501-508. doi:10.1016/j.tim.2011.07.003Geng, C., Wang, H.-Y., Liu, J., Yan, Z.-Y., Tian, Y.-P., Yuan, X.-F., … Li, X.-D. (2016). Transcriptomic changes in Nicotiana benthamiana plants inoculated with the wild-type or an attenuated mutant of Tobacco vein banding mosaic virus. Molecular Plant Pathology, 18(8), 1175-1188. doi:10.1111/mpp.12471Hafrén, A., Lõhmus, A., & Mäkinen, K. (2015). Formation of Potato Virus A-Induced RNA Granules and Viral Translation Are Interrelated Processes Required for Optimal Virus Accumulation. PLOS Pathogens, 11(12), e1005314. doi:10.1371/journal.ppat.1005314Henty-Ridilla, J. L., Li, J., Day, B., & Staiger, C. J. (2014). ACTIN DEPOLYMERIZING FACTOR4 Regulates Actin Dynamics during Innate Immune Signaling in Arabidopsis. The Plant Cell, 26(1), 340-352. doi:10.1105/tpc.113.122499Hillung, J., Cuevas, J. M., Valverde, S., & Elena, S. F. (2014). EXPERIMENTAL EVOLUTION OF AN EMERGING PLANT VIRUS IN HOST GENOTYPES THAT DIFFER IN THEIR SUSCEPTIBILITY TO INFECTION. Evolution, 68(9), 2467-2480. doi:10.1111/evo.12458Hillung, J., García-García, F., Dopazo, J., Cuevas, J. M., & Elena, S. F. (2016). The transcriptomics of an experimentally evolved plant-virus interaction. Scientific Reports, 6(1). doi:10.1038/srep24901Hyun, T. K., Albacete, A., van der Graaff, E., Eom, S. H., Großkinsky, D. K., Böhm, H., … Roitsch, T. (2015). The Arabidopsis PLAT domain protein1 promotes abiotic stress tolerance and growth in tobacco. Transgenic Research, 24(4), 651-663. doi:10.1007/s11248-015-9868-6Lalić, J., Agudelo-Romero, P., Carrasco, P., & Elena, S. F. (2010). Adaptation of tobacco etch potyvirus to a susceptible ecotype of Arabidopsis thaliana capacitates it for systemic infection of resistant ecotypes. Philosophical Transactions of the Royal Society B: Biological Sciences, 365(1548), 1997-2007. doi:10.1098/rstb.2010.0044Lalić, J., Cuevas, J. M., & Elena, S. F. (2011). Effect of Host Species on the Distribution of Mutational Fitness Effects for an RNA Virus. PLoS Genetics, 7(11), e1002378. doi:10.1371/journal.pgen.1002378Lalić, J., & Elena, S. F. (2013). Epistasis between mutations is host-dependent for an RNA virus. Biology Letters, 9(1), 20120396. doi:10.1098/rsbl.2012.0396Lalić, J., & Elena, S. F. (2015). The impact of high-order epistasis in the within-host fitness of a positive-sense plant RNA virus. Journal of Evolutionary Biology, 28(12), 2236-2247. doi:10.1111/jeb.12748Lamesch, P., Berardini, T. Z., Li, D., Swarbreck, D., Wilks, C., Sasidharan, R., … Huala, E. (2011). The Arabidopsis Information Resource (TAIR): improved gene annotation and new tools. Nucleic Acids Research, 40(D1), D1202-D1210. doi:10.1093/nar/gkr1090Li, Y., Jing, Y., Li, J., Xu, G., & Lin, R. (2014). Arabidopsis VQ MOTIF-CONTAINING PROTEIN29 Represses Seedling Deetiolation by Interacting with PHYTOCHROME-INTERACTING FACTOR1. Plant Physiology, 164(4), 2068-2080. doi:10.1104/pp.113.234492Linnen, C. R., & Hoekstra, H. E. (2009). Measuring Natural Selection on Genotypes and Phenotypes in the Wild. Cold Spring Harbor Symposia on Quantitative Biology, 74(0), 155-168. doi:10.1101/sqb.2009.74.045Martinez-Picado, J., & Martínez, M. A. (2008). HIV-1 reverse transcriptase inhibitor resistance mutations and fitness: A view from the clinic and ex vivo. Virus Research, 134(1-2), 104-123. doi:10.1016/j.virusres.2007.12.021Novella, I. S., Gilbertson, D. L., Borrego, B., Domingo, E., & Holland, J. J. (2005). Adaptability costs in immune escape variants of vesicular stomatitis virus. Virus Research, 107(1), 27-34. doi:10.1016/j.virusres.2004.06.007Orr, H. A. (2009). Fitness and its role in evolutionary genetics. Nature Reviews Genetics, 10(8), 531-539. doi:10.1038/nrg2603Peris, J. B., Davis, P., Cuevas, J. M., Nebot, M. R., & Sanjuán, R. (2010). Distribution of Fitness Effects Caused by Single-Nucleotide Substitutions in Bacteriophage f1. Genetics, 185(2), 603-609. doi:10.1534/genetics.110.115162Pesko, K., Voigt, E. A., Swick, A., Morley, V. J., Timm, C., Yin, J., & Turner, P. E. (2015). Genome rearrangement affects RNA virus adaptability on prostate cancer cells. Frontiers in Genetics, 6. doi:10.3389/fgene.2015.00121Revers, F., & García, J. A. (2015). Molecular Biology of Potyviruses. Advances in Virus Research, 101-199. doi:10.1016/bs.aivir.2014.11.006Robaglia, C., & Caranta, C. (2006). Translation initiation factors: a weak link in plant RNA virus infection. Trends in Plant Science, 11(1), 40-45. doi:10.1016/j.tplants.2005.11.004Rodrigo, G., Carrera, J., Ruiz-Ferrer, V., del Toro, F. J., Llave, C., Voinnet, O., & Elena, S. F. (2012). A Meta-Analysis Reveals the Commonalities and Differences in Arabidopsis thaliana Response to Different Viral Pathogens. PLoS ONE, 7(7), e40526. doi:10.1371/journal.pone.0040526Sánchez, F., Manrique, P., Mansilla, C., Lunello, P., Wang, X., Rodrigo, G., … Ponz, F. (2015). Viral Strain-Specific Differential Alterations in Arabidopsis Developmental Patterns. Molecular Plant-Microbe Interactions®, 28(12), 1304-1315. doi:10.1094/mpmi-05-15-0111-rSanjuan, R., Moya, A., & Elena, S. F. (2004). The distribution of fitness effects caused by single-nucleotide substitutions in an RNA virus. Proceedings of the National Academy of Sciences, 101(22), 8396-8401. doi:10.1073/pnas.0400146101Schmidt, G. W., & Delaney, S. K. (2010). Stable internal reference genes for normalization of real-time RT-PCR in tobacco (Nicotiana tabacum) during development and abiotic stress. Molecular Genetics and Genomics, 283(3), 233-241. doi:10.1007/s00438-010-0511-1Schoor, S., Farrow, S., Blaschke, H., Lee, S., Perry, G., von Schwartzenberg, K., … Moffatt, B. (2011). Adenosine Kinase Contributes to Cytokinin Interconversion in Arabidopsis. Plant Physiology, 157(2), 659-672. doi:10.1104/pp.111.181560Tan, S.-L., Ganji, G., Paeper, B., Proll, S., & Katze, M. G. (2007). Systems biology and the host response to viral infection. Nature Biotechnology, 25(12), 1383-1389. doi:10.1038/nbt1207-1383Tang, B. S. F., Chan, K., Cheng, V. C. C., Woo, P. C. Y., Lau, S. K. P., Lam, C. C. K., … Yuen, K. (2005). Comparative Host Gene Transcription by Microarray Analysis Early after Infection of the Huh7 Cell Line by Severe Acute Respiratory Syndrome Coronavirus and Human Coronavirus 229E. Journal of Virology, 79(10), 6180-6193. doi:10.1128/jvi.79.10.6180-6193.2005Tian, T., Liu, Y., Yan, H., You, Q., Yi, X., Du, Z., … Su, Z. (2017). agriGO v2.0: a GO analysis toolkit for the agricultural community, 2017 update. Nucleic Acids Research, 45(W1), W122-W129. doi:10.1093/nar/gkx382Torres-Barceló, C., Martín, S., Daròs, J.-A., & Elena, S. F. (2008). From Hypo- to Hypersuppression: Effect of Amino Acid Substitutions on the RNA-Silencing Suppressor Activity of the Tobacco etch potyvirus HC-Pro. Genetics, 180(2), 1039-1049. doi:10.1534/genetics.108.091363Vale, P. F., Choisy, M., Froissart, R., Sanjuán, R., & Gandon, S. (2012). THE DISTRIBUTION OF MUTATIONAL FITNESS EFFECTS OF PHAGE φX174 ON DIFFERENT HOSTS. Evolution, 66(11), 3495-3507. doi:10.1111/j.1558-5646.2012.01691.xVijayapalani, P., Maeshima, M., Nagasaki-Takekuchi, N., & Miller, W. A. (2012). Interaction of the Trans-Frame Potyvirus Protein P3N-PIPO with Host Protein PCaP1 Facilitates Potyvirus Movement. PLoS Pathogens, 8(4), e1002639. doi:10.1371/journal.ppat.1002639Visher, E., Whitefield, S. E., McCrone, J. T., Fitzsimmons, W., & Lauring, A. S. (2016). The Mutational Robustness of Influenza A Virus. PLOS Pathogens, 12(8), e1005856. doi:10.1371/journal.ppat.1005856Viswanathan, K., & Früh, K. (2007). Viral proteomics: global evaluation of viruses and their interaction with the host. Expert Review of Proteomics, 4(6), 815-829. doi:10.1586/14789450.4.6.815Wachter, A., & Hartmann, L. (2014). NMD: Nonsense-Mediated Defense. Cell Host & Microbe, 16(3), 273-275. doi:10.1016/j.chom.2014.08.015Wargo, A. R., & Kurath, G. (2012). Viral fitness: definitions, measurement, and current insights. Current Opinion in Virology, 2(5), 538-545. doi:10.1016/j.coviro.2012.07.007Westerhout, E. M. (2005). HIV-1 can escape from RNA interference by evolving an alternative structure in its RNA genome. Nucleic Acids Research, 33(2), 796-804. doi:10.1093/nar/gki220Willemsen, A., Zwart, M. P., Higueras, P., Sardanyés, J., & Elena, S. F. (2016). Predicting the Stability of Homologous Gene Duplications in a Plant RNA Virus. Genome Biology and Evolution, 8(9), 3065-3082. doi:10.1093/gbe/evw219Xie, M., Ren, G., Zhang, C., & Yu, B. (2012). The DNA- and RNA-binding protein FACTOR of DNA METHYLATION 1 requires XH domain-mediated complex formation for its function in RNA-directed DNA methylation. The Plant Journal, 72(3), 491-500. doi:10.1111/j.1365-313x.2012.05092.xZhan, G.-M., Li, R.-J., Hu, Z.-Y., Liu, J., Deng, L.-B., Lu, S.-Y., & Hua, W. (2014). Cosuppression of RBCS3B in Arabidopsis leads to severe photoinhibition caused by ROS accumulation. Plant Cell Reports, 33(7), 1091-1108. doi:10.1007/s00299-014-1597-

    MicroRNA enrichment among short ‘ultraconserved’ sequences in insects

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    MicroRNAs are short (∼22 nt) regulatory RNA molecules that play key roles in metazoan development and have been implicated in human disease. First discovered in Caenorhabditis elegans, over 2500 microRNAs have been isolated in metazoans and plants; it has been estimated that there may be more than a thousand microRNA genes in the human genome alone. Motivated by the experimental observation of strong conservation of the microRNA let-7 among nearly all metazoans, we developed a novel methodology to characterize the class of such strongly conserved sequences: we identified a non-redundant set of all sequences 20 to 29 bases in length that are shared among three insects: fly, bee and mosquito. Among the few hundred sequences greater than 20 bases in length are close to 40% of the 78 confirmed fly microRNAs, along with other non-coding RNAs and coding sequence

    Molecular and biological characterization of an isolate of Tomato mottle mosaic virus (ToMMV) infecting tomato and other experimental hosts in eastern Spain

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    [EN] Tomato is known to be a natural and experimental reservoir host for many plant viruses. In the last few years a new tobamovirus species, Tomato mottle mosaic virus (ToMMV), has been described infecting tomato and pepper plants in several countries worldwide. Upon observation of symptoms in tomato plants growing in a greenhouse in Valencia, Spain, we aimed to ascertain the etiology of the disease. Using standard molecular techniques, we first detected a positive sense single-stranded RNA virus as the probable causal agent. Next, we amplified and sequenced its full-length genomic RNA which identified the virus as a new ToMMV isolate. Through extensive assays on distinct plant species, we investigated the host range of the Spanish ToMMV isolate. Several plant species were locally and/or systemically infected by the virus, some of which had not been previously reported as ToMMV hosts despite they are commonly used in research greenhouses. Finally, two reliable molecular diagnostic techniques were developed and used to assess the presence of ToMMV. This is the first observation of ToMMV in tomato plants in Europe. We discuss the possibility that, given the high sequence homology between ToMMV and Tomato mosaic virus, the former may have been mistakenly diagnosed as the latter by serological methods.This work was supported by grants BFU2015-70261-P and BFU2015-65037-P (to C.H. and S.F.E., respectively) from Spain Ministry of Economy, Industry and Competitiveness/FEDER.Ambros Palaguerri, S.; Martinez, F.; Ivars, P.; Hernandez Fort, C.; De La Iglesia Jordán, F.; Elena Fito, SF. (2017). Molecular and biological characterization of an isolate of Tomato mottle mosaic virus (ToMMV) infecting tomato and other experimental hosts in eastern Spain. European Journal of Plant Pathology. 149(2):261-268. https://doi.org/10.1007/s10658-017-1180-2S2612681492Fillmer, K., Adkins, S., Pongam, P., & D’Ella, T. (2015). Complete genome sequence of a Tomato mottle mosaic virus isolated from the United States. Genome Announcements, 3(2), e00167–e00115.Hadas, R., Pearlsman, M., Gefen, T., Lachman, O., Hadar, E., Sharabany, G., et al. (2004). Indexing system for Tomato mosaic virus (ToMV) in commercial tomato seed lots. Phytoparasitica, 32(4), 421–424.Lewandowski, D. J., & Dawson, W. O. (1998). Tobamoviruses. In A. Granoff & R. G. Webster (Eds.), Encyclopedia of virology (Vol. 3, 2nd ed., pp. 1780–1783). New York: Academic Press Inc..Li, R., Gao, S., Fel, Z., & Ling, K. (2013). Complete genome sequence of a new Tobamovirus naturally infecting tomatoes in Mexico. Genome Announcements, 1(5), e00794–e00713.Li, Y. Y., Wang, C. L., Xiang, D., Li, R. H., Liu, Y., & Li, F. (2014). First report of Tomato mottle mosaic virus infection of pepper in China. Plant Disease, 98(10), 1447.Martin, D. P., Murrell, B., Golden, M., Khoosal, A., Muhire, B. (2015). RDP4: detection and analysis of recombination patterns in virus genomes. Virus Evolution, 1(1), vev003.Moreira, S. R., Eiras, M., Chaves, A. L. R., Galleti, S. R., & Colariccio, A. (2003). Characterição de uma nova estirpe do Tomato mosaic virus isolada de tomateiro no estado de São Paulo. Fitopatologia Brasileira, 28(6), 602–607.Padmanabhan, C., Zheng, Y., Li, R., Martin, G. B., Fei, Z., & Ling, K. S. (2015). Complete genome sequence of a tomato-infecting Tomato mottle mosaic virus in New York. Genome Announcements, 3(6), e01523–e01515.Pirovano, W., Boetzer, M., Miozzi, L., & Pantaleo, V. (2015). Bioinformatics approaches for viral metagenomics in plants using short RNAs: Model case of study and application to a Cicer arietinum population. Frontiers in Microbiology, 5, 790.Ruiz-Ruiz, S., Moreno, P., Guerri, J., & Ambrós, S. (2006). The complete nucleotide sequence of a severe stem pitting isolate of Citrus tristeza virus from Spain: Comparison with isolates from different origins. Archives of Virology, 151(2), 387398.Salem, N., Mansour, A., Ciuffo, M., Falk, B. W., & Turina, M. (2016). A new tobamovirus infecting tomato crops in Jordan. Archives of Virology, 161(2), 503–506.Soler, S., Prohens, J., López, C., Aramburu, J., Galipienso, L., & Nuez, F. (2010). Viruses infecting tomato in València, Spain: Occurrence, distribution and effect of seed origin. Journal of Phytopathology, 158(11–12), 797–805.Tamura, L., Stecher, G., Peterson, D., Filipski, A., & Kumar, S. (2013). MEGA6: Molecular evolutionary genetics analysis version 6.0. Molecular Biology and Evolution, 30(12), 2725–2729.Turina, M., Geraats, B. P. J., & Ciuffo, M. (2016). First report of Tomato mottle mosaic virus in tomato crops in Israel. New Disease Reports, 33, 1.Webster, C. G., Rosskopf, E. N., Lucas, L., Mellinger, H. C., & Adkins, S. (2014). First report of Tomato mottle mosaic virus infecting tomato in the United States. Plant Health Progress. doi: 10.1094/PHP-BR-14-0023
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