82 research outputs found

    Molecular evolution of viral multifunctional proteins: the case of Potyvirus HC-Pro

    Get PDF
    [EN] Our knowledge on the mode of evolution of the multifunctional viral proteins remains incomplete. To tackle this problem, here, we have investigated the evolutionary dynamics of the potyvirus multifunctional protein HC-Pro, with particular focus on its functional domains. The protein was partitioned into the three previously described functional domains, and each domain was analyzed separately and assembled. We searched for signatures of adaptive evolution and evolutionary dependencies of amino acid sites within and between the three domains using the entire set of available potyvirus sequences in GenBank. Interestingly, we identified strongly significant patterns of co-occurrence of adaptive events along the phylogenetic tree in the three domains. These patterns suggest that Domain I, whose main function is to mediate aphid transmission, has likely been coevolving with the other two domains, which are involved in different functions but all requiring the capacity to bind RNA. By contrast, episodes of positive selection on Domains II and III did not correlate, reflecting a trade-off between their evolvability and their evolutionary dependency likely resulting from their functional overlap. Covariation analyses have identified several groups of amino acids with evidence of concerted variation within each domain, but interdomain significant covariations were only found for Domains II and III, further reflecting their functional overlappingThis work was supported by grants BFU2012-30805 (SFE) and BFU2012-36346 (MAF) from the Spanish Direccio´n General de Investigacio´n Cientı´fica y Te´cnica and by an EMBO Short-Term Fellowship and the Mentoring Program from the Foundation for Polish Science (BHJ).Hasiów-Jaroszewska, B.; Fares Riaño, MA.; Elena Fito, SF. (2014). Molecular evolution of viral multifunctional proteins: the case of Potyvirus HC-Pro. Journal of Molecular Evolution. 78(1):75-86. https://doi.org/10.1007/s00239-013-9601-0S7586781Adams MJ, Antoniw JF, Beaudoin F (2005) Overview and analysis of the polyprotein cleavage sites in the family Potyviridae. Mol Plant Pathol 6:471–487Atreya CD, Atryea P, Thornbury DW, Pirone TP (1992) Site-directed mutations in the potyvirus HC-Pro gene affect helper component activity, virus accumulation and symptoms expression in infected tobacco plants. Virology 191:106–111Blanc S, López-Moya JJ, Wang R, García-Lampasona S, Thornbury DW, Pirone TP (1997) A specific interaction between coat protein and helper component correlates with aphid transmission of a potyvirus. Virology 231:141–147Blanc S, Ammar ED, García-Lampasona S, Dolja VV, Llave C, Baker J, Pirone TP (1998) Mutations in the potyvirus helper component protein: effects on interactions with virions and aphid stylets. J Gen Virol 79:3119–3122Cantó T, López-Moya JJ, Serra-Yodi MT, Díaz-Ruiz JR, López-Abella D (1995) Different helper component mutations associated with lack of aphid transmissibility in two isolates of potato virus. Phytopathology 85:1519–1524Carrington JC, Freed DD, Sanders TC (1989) Autocatalytic processing of the potyvirus helper component proteinase in Escherichia coli and in vitro. J Virol 63:4459–4463Chung BY, Miller WA, Atkins JF, Firth AE (2008) An overlapping essential gene in the Potyviridae. Proc Natl Acad Sci USA 105:5897–5902Cronin S, Verchot J, Haldeman-Cahill R, Schaad MC, Carrington JC (1995) Long distance movement factor: a transport function of the potyvirus helper component-proteinase. Plant Cell 7:549–559Edgar RC (2004) MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucl Acids Res 32:1792–1797Elena SF, Rodrigo G (2012) Towards and integrated molecular model of plant-virus interactions. Curr Opin Virol 2:713–718Fares MA (2004) SWAPSC: sliding-window analysis procedure to detect selective constraints. Bioinformatics 20:2867–2868Fares MA, McNally D (2006) CAPS: coevolution analysis using protein sequences. Bioinformatics 22:2821–2822Fares MA, Travers AA (2006) A novel method for detecting intramolecular coevolution: adding a further dimension to selective constrains analyses. Genetics 173:9–23Fares MA, Elena SF, Ortiz J, Moya A, Barrio E (2002) A sliding window-based method to detect selective constraints in protein-coding genes and its application to RNA viruses. J Mol Evol 55:509–521Gibbs A, Ohshima K (2010) Potyviruses and the digital revolution. Annu Rev Phytopathol 48:205–223Guo D, Mertis A, Saarma M (1999) Self-association and mapping of interaction domains of helper component of Potato virus A potyvirus. J Gen Virol 80:1127–1131Guo B, Lin J, Ye K (2011) Structure of the autocatalytic cysteine protease domain of potyvirus helper-component proteinase. J Biol Chem 286:21937–21943Haikonen T, Rajamäki ML, Tian YP, Valkonen JPT (2013) Mutation of a short variable region in HC-Pro protein of Potato virus A affects interactions with microtubule-associated protein and induces necrotic responses in tobacco. Mol Plant Microbe Interact 26:721–733Hall TA (1999) BIOEDIT: a user-friendly biological sequence alignment editor and analysis program for Windows 95/98/NT. Nucl Acids Symp Ser 41:95–98Hughes AL (2009) Small effective population sizes and rare nonsynonymous variants in potyviruses. Virology 393:127–134Jones DT (1999) Protein secondary structure prediction based on position-specific scoring matrices. J Mol Biol 292:195–202Kasschau KD, Carrington JC (1995) Requirement for HC-Pro processing during genome amplification of Tobacco etch potyvirus. Virology 209:268–273Kasschau KD, Carrington JC (2001) Long-distance movement and replication maintenance functions correlate with silencing suppression activity of potyviral HC-Pro. Virology 285:71–81Kasschau KD, Cronin S, Carrington JC (1997) Genome amplification and long-distance movement functions associated with the central domain of Tobacco etch potyvirus helper component-proteinase. Virology 228:251–262Kosakovsky Pond SL, Frost SDW (2005a) DATAMONKEY: rapid detection of selective pressure on individual sites of codon alignments. Bioinformatics 21:2531–2533Kosakovsky Pond SL, Frost SDW (2005b) Not so different after all: a comparison of methods for detecting amino acid sites under selection. Mol Biol Evol 22:1208–1222Kosakovsky Pond SL, Posada D, Gravenor MB, Woelk CH, Frost SDW (2006) Automated phylogenetic detection of recombination using a genetic algorithm. Mol Biol Evol 23:1891–1901Lakatos L, Csorba T, Pantaleo V, Chapman EJ, Carrington JC, Liu YP, Dojla VV, Calvino LF, López-Moya JJ, Burgyan J (2006) Small RNA binding is a common strategy to suppress RNA silencing by several viral suppressors. EMBO J 25:2768–2780Lalić J, Elena SF (2012) Magnitude and sign epistasis among deleterious mutations in a positive-sense plant RNA virus. Heredity 109:71–77Leigh JW, Susko E, Baumgartner M, Roger AJ (2008) Testing congruence in phylogenomic analysis. Syst Biol 57:104–115Li WH (1993) Unbiased estimation of the rates of synonymous and nonsynonymous substitution. J Mol Evol 36:96–99Llave C, Kasschau KD, Carrington JC (2000) Virus-encoded suppressor of posttranscriptional gene silencing targets a maintenance step in the silencing pathway. Proc Natl Acad Sci USA 97:13401–13406Maia S, Haenni AL, Bernardi F (1996) Potyviral HC-Pro: a multifunctional protein. J Gen Virol 77:1335–1341Martin DP, Lemey P, Lott M, Moulton V, Posada D, Lefeuvre P (2010) RDP3: a flexible and fast computer program for analyzing recombination. Bioinformatics 26:2462–2463Moroni E, Morra G, Colombo G (2012) Molecular dynamics simulations of Hsp90 with an eye to inhibitor design. Pharmaceuticals 5:944–962Peng YH, Kadoury D, Gaol-On A, Huet H, Wang Y, Raccah B (1998) Mutations in HC-Pro gene of Zucchini yellow mosaic potyvirus: effects on aphid transmission and binding to purified virions. J Gen Virol 79:897–904Plisson C, Drucker M, Blanc S, German-Retana S, Le Gall O, Thomas D, Bron P (2003) Structural characterization of HC-Pro a plant virus multifunctional protein. J Biol Chem 278:23753–23761Posada D, Crandall KA (1998) MODELTEST: testing the model of DNA substitution. Bioinformatics 14:817–818Revers F, Le Gall O, Candresse T, Maule J (1999) New advances in understanding the molecular biology of plant/potyvirus interaction. Mol Plant Microbe Interact 12:367–376Riechmann JL, Lain S, García JA (1992) Highlights and prospects of potyvirus molecular biology. J Gen Virol 73:1–16Roy A, Kucukural A, Zhang Y (2010) I-TASSER: a unified platform for automated protein structure and function prediction. Nat Protoc 5:725–738Ruiz-Ferrer V, Boskovic J, Alfonso C, Rivas G, Llorca O, López-Abella D, López-Moya JJ (2005) Structural analysis of Tobacco etch potyvirus HC-pro oligomers involved in aphid transmission. J Virol 79:3758–3765Shiboleth YM, Haronsky E, Leibman D, Arazi T, Wassenegger M, Whitham SA, Gaba V, Gal-On A (2007) The conserved FRNK box in HC-Pro, a plant viral suppressor of gene silencing, is required for small RNA binding and mediates symptom development. J Virol 81:13135–13148Smoot M, Ono K, Ruschelnski J, Wang PL, Ideker T (2011) CYTOSCAPE 2.8: new features for data integration and network visualization. Bioinformatics 27:431–432Syller J (2006) The roles and mechanisms of helper component proteins encoded by potyviruses and caulimoviruses. Physiol Mol Plant Pathol 67:119–130Tamura K, Peterson D, Peterson N, Stecher G, Nei M, Kumar S (2011) MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods. Mol Biol Evol 28:2731–2739Torres-Barceló C, Martín S, Daròs JA, Elena SF (2008) From hypo- to hypersuppression: effect of amino acid substitutions on the RNA-silencing suppressor activity of Tobacco etch potyvirus HC-Pro. Genetics 180:1039–1049Torres-Barceló C, Daròs JA, Elena SF (2010a) Compensatory molecular evolution of HC-Pro, an RNA-silencing suppressor from a plant RNA virus. Mol Biol Evol 27:543–551Torres-Barceló C, Daròs JA, Elena SF (2010b) HC-Pro hypo- and hypersuppressor mutants: differences in viral siRNA accumulation in vivo and siRNA binding activity in vitro. Arch Virol 155:251–254Urcuqui-Inchima S, Walter J, Drugeon G, German-Retans S, Haeni AL, Candresse T, Bernardi F, Le Gall O (1999) Potyvirus HC-Pro self-interaction in the yeast two hybrid system and delineation of the interaction domain involved. Virology 258:95–99Urcuqui-Inchima S, Maia IG, Arruda P, Haenni AL, Bernardi F (2000) Deletion mapping of the potyviral helper component-proteinase reveals two regions involved in RNA binding. Virology 268:104–111Urcuqui-Inchima S, Haenni AL, Bernardi F (2001) Potyvirus proteins: a wealth of functions. Virus Res 74:157–175Varrelmann M, Maiss E, Pilot R, Palkovics L (2007) Use of pentapeptide-insertion scanning mutagenesis for functional mapping of the Plum pox virus helper component proteinase suppressor of gene silencing. J Gen Virol 88:10051015Ward CW, Shukla DD (1991) Taxonomy of potyviruses: current problems and some solutions. Intervirology 32:269–296Wu S, Zhang Y (2007) LOMETS: a local meta-threading-server for protein structure prediction. Nucl Acids Res 35:3375–3382Yang Z, Bielawski JP (2000) Statistical methods for detecting molecular adaptation. Trends Ecol Evol 15:496–503Yap YK, Duangjit J, Panyim S (2009) N-terminal of Papaya ringspot virus type-W (PRSV-W) helper component proteinase (HC-Pro) is essential for PRSV systemic infection in zucchini. Virus Genes 38:461–467Zheng H, Yan F, Lu Y, Sun L, Lin L, Cai L, Hou M, Chen J (2010) Mapping the self-interaction domains of TuMV HC-pro and the subcellular localization of the protein. Virus Genes 42:110–11

    Production of HIV Particles Is Regulated by Altering Sub-Cellular Localization and Dynamics of Rev Induced by Double-Strand RNA Binding Protein

    Get PDF
    Human immunodeficiency virus (HIV)-1 encoded Rev is essential for export from the nucleus to the cytoplasm, of unspliced and singly spliced transcripts coding for structural and nonstructural viral proteins. This process is spatially and temporally coordinated resulting from the interactions between cellular and viral proteins. Here we examined the effects of the sub-cellular localization and dynamics of Rev on the efficiency of nucleocytoplasmic transport of HIV-1 Gag transcripts and virus particle production. Using confocal microscopy and fluorescence recovery after bleaching (FRAP), we report that NF90ctv, a cellular protein involved in Rev function, alters both the sub-cellular localization and dynamics of Rev in vivo, which drastically affects the accumulation of the viral protein p24. The CRM1–dependent nuclear export of Gag mRNA linked to the Rev Response Element (RRE) is dependent on specific domains of the NF90ctv protein. Taken together, our results demonstrate that the appropriate intracellular localization and dynamics of Rev could regulate Gag assembly and HIV-1 replication

    Relocation of the NIb gene in the tobacco etch potyvirus genome

    Get PDF
    Supplemental material for this article may be found at http://dx.doi.org/10.1128/JVI.03336-13[EN] Potyviruses express most of their proteins from a long open reading frame that is translated into a large polyprotein processed by three viral proteases. To understand the constraints on potyvirus genome organization, we relocated the viral RNA-dependent RNA polymerase (NIb) cistron to all possible intercistronic positions of the Tobacco etch virus (TEV) polyprotein. Only viruses with NIb at the amino terminus of the polyprotein or in between P1 and HC-Pro were viable in tobacco plants.This research was supported by grant BIO2011-26741 from the Spanish Ministerio de Economia y Competitividad (MINECO) to J.-A.D., grant PROMETEO/2010/019 from Generalitat Valenciana to S. F. E. and J.-A.D., and grants BFU2012-30805 and 22371 from MINECO and the John Templeton Foundation, respectively, to S. F. E. E. M. was supported by a predoctoral fellowship (AP2012-3751) from the Spanish Ministerio de Educacion, Cultura y Deporte. M.P.Z. was supported by a Juan de la Cierva postdoctoral contract (JCI-2011-10379) from MINECO and a Rubicon grant from the Netherlands Organization for Scientific Research (www.nwo.nl).Majer, E.; Salvador, Z.; Zwart, MP.; Willemsen, A.; Elena Fito, SF.; Daros Arnau, JA. (2014). Relocation of the NIb gene in the tobacco etch potyvirus genome. Journal of Virology. (88):4586-4590. https://doi.org/10.1128/JVI.03336-13S4586459088Roossinck, M. J. (2011). The big unknown: plant virus biodiversity. Current Opinion in Virology, 1(1), 63-67. doi:10.1016/j.coviro.2011.05.022Chirico, N., Vianelli, A., & Belshaw, R. (2010). Why genes overlap in viruses. Proceedings of the Royal Society B: Biological Sciences, 277(1701), 3809-3817. doi:10.1098/rspb.2010.1052Belshaw, R., Pybus, O. G., & Rambaut, A. (2007). The evolution of genome compression and genomic novelty in RNA viruses. Genome Research, 17(10), 1496-1504. doi:10.1101/gr.6305707Nguyen, M., & Haenni, A.-L. (2003). Expression strategies of ambisense viruses. Virus Research, 93(2), 141-150. doi:10.1016/s0168-1702(03)00094-7Riechmann, J. L., Lain, S., & Garcia, J. A. (1992). Highlights and prospects of potyvirus molecular biology. Journal of General Virology, 73(1), 1-16. doi:10.1099/0022-1317-73-1-1Urcuqui-Inchima, S., Haenni, A.-L., & Bernardi, F. (2001). Potyvirus proteins: a wealth of functions. Virus Research, 74(1-2), 157-175. doi:10.1016/s0168-1702(01)00220-9Chung, B. Y.-W., Miller, W. A., Atkins, J. F., & Firth, A. E. (2008). An overlapping essential gene in the Potyviridae. Proceedings of the National Academy of Sciences, 105(15), 5897-5902. doi:10.1073/pnas.0800468105Li, X. H., & Carrington, J. C. (1995). Complementation of tobacco etch potyvirus mutants by active RNA polymerase expressed in transgenic cells. Proceedings of the National Academy of Sciences, 92(2), 457-461. doi:10.1073/pnas.92.2.457Bedoya, L., Martínez, F., Rubio, L., & Daròs, J.-A. (2010). Simultaneous equimolar expression of multiple proteins in plants from a disarmed potyvirus vector. Journal of Biotechnology, 150(2), 268-275. doi:10.1016/j.jbiotec.2010.08.006Bedoya, L. C., Martínez, F., Orzáez, D., & Daròs, J.-A. (2012). Visual Tracking of Plant Virus Infection and Movement Using a Reporter MYB Transcription Factor That Activates Anthocyanin Biosynthesis. Plant Physiology, 158(3), 1130-1138. doi:10.1104/pp.111.192922Majer, E., Daròs, J.-A., & Zwart, M. (2013). Stability and Fitness Impact of the Visually Discernible Rosea1 Marker in the Tobacco etch virus Genome. Viruses, 5(9), 2153-2168. doi:10.3390/v5092153Bedoya, 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.2010.02.004Chen, C.-C., Chen, T.-C., Raja, J. A. J., Chang, C.-A., Chen, L.-W., Lin, S.-S., & Yeh, S.-D. (2007). Effectiveness and stability of heterologous proteins expressed in plants by Turnip mosaic virus vector at five different insertion sites. Virus Research, 130(1-2), 210-227. doi:10.1016/j.virusres.2007.06.014Merits, A., Runeberg-Roos, P., Rajamäki, M.-L., Puustinen, P., Mäkeläinen, K., Saarma, M., … Kekarainen, T. (2002). Proteolytic processing of potyviral proteins and polyprotein processing intermediates in insect and plant cells. Journal of General Virology, 83(5), 1211-1221. doi:10.1099/0022-1317-83-5-1211Parks, T. D., Howard, E. D., Wolpert, T. J., Arp, D. J., & Dougherty, W. G. (1995). Expression and Purification of a Recombinant Tobacco Etch Virus NIa Proteinase: Biochemical Analyses of the Full-Length and a Naturally Occurring Truncated Proteinase Form. Virology, 210(1), 194-201. doi:10.1006/viro.1995.1331KIM, D.-H., PARK, Y. S., KIM, S. S., LEW, J., NAM, H. G., & CHOI, K. Y. (1995). Expression, Purification, and Identification of a Novel Self-Cleavage Site of the NIa C-Terminal 27-kDa Protease of Turnip Mosaic Potyvirus C5. Virology, 213(2), 517-525. doi:10.1006/viro.1995.0024Dolja, V. V., McBride, H. J., & Carrington, J. C. (1992). Tagging of plant potyvirus replication and movement by insertion of beta-glucuronidase into the viral polyprotein. Proceedings of the National Academy of Sciences, 89(21), 10208-10212. doi:10.1073/pnas.89.21.10208Fernández-Fernández, M. R., Mouriño, M., Rivera, J., Rodríguez, F., Plana-Durán, J., & García, J. A. (2001). Protection of Rabbits against Rabbit Hemorrhagic Disease Virus by Immunization with the VP60 Protein Expressed in Plants with a Potyvirus-Based Vector. Virology, 280(2), 283-291. doi:10.1006/viro.2000.0762Sánchez, F., Sáez, M., Lunello, P., & Ponz, F. (2013). Plant viral elongated nanoparticles modified for log-increases of foreign peptide immunogenicity and specific antibody detection. Journal of Biotechnology, 168(4), 409-415. doi:10.1016/j.jbiotec.2013.09.002Masuta, C., Yamana, T., Tacahashi, Y., Uyeda, I., Sato, M., Ueda, S., & Matsumura, T. (2000). Development of clover yellow vein virus as an efficient, stable gene-expression system for legume species. The Plant Journal, 23(4), 539-546. doi:10.1046/j.1365-313x.2000.00795.xBeauchemin, C., Bougie, V., & Laliberté, J.-F. (2005). Simultaneous production of two foreign proteins from a potyvirus-based vector. Virus Research, 112(1-2), 1-8. doi:10.1016/j.virusres.2005.03.001Kelloniemi, J., Mäkinen, K., & Valkonen, J. P. T. (2008). Three heterologous proteins simultaneously expressed from a chimeric potyvirus: Infectivity, stability and the correlation of genome and virion lengths. Virus Research, 135(2), 282-291. doi:10.1016/j.virusres.2008.04.006Whitham, S. A., Yamamoto, M. L., & Carrington, J. C. (1999). Selectable viruses and altered susceptibility mutants in Arabidopsis thaliana. Proceedings of the National Academy of Sciences, 96(2), 772-777. doi:10.1073/pnas.96.2.772Dolja, V. V., Hong, J., Keller, K. E., Martin, R. R., & Peremyslov, V. V. (1997). Suppression of Potyvirus Infection by Coexpressed Closterovirus Protein. Virology, 234(2), 243-252. doi:10.1006/viro.1997.8660Dietrich, C. (2003). Fluorescent labelling reveals spatial separation of potyvirus populations in mixed infected Nicotiana benthamiana plants. Journal of General Virology, 84(10), 2871-2876. doi:10.1099/vir.0.19245-0Rajamäki, M.-L., Kelloniemi, J., Alminaite, A., Kekarainen, T., Rabenstein, F., & Valkonen, J. P. T. (2005). A novel insertion site inside the potyvirus P1 cistron allows expression of heterologous proteins and suggests some P1 functions. Virology, 342(1), 88-101. doi:10.1016/j.virol.2005.07.01

    Topology analysis and visualization of Potyvirus protein-protein interaction network

    Get PDF
    Background: One of the central interests of Virology is the identification of host factors that contribute to virus infection. Despite tremendous efforts, the list of factors identified remains limited. With omics techniques, the focus has changed from identifying and thoroughly characterizing individual host factors to the simultaneous analysis of thousands of interactions, framing them on the context of protein-protein interaction networks and of transcriptional regulatory networks. This new perspective is allowing the identification of direct and indirect viral targets. Such information is available for several members of the Potyviridae family, one of the largest and more important families of plant viruses. Results: After collecting information on virus protein-protein interactions from different potyviruses, we have processed it and used it for inferring a protein-protein interaction network. All proteins are connected into a single network component. Some proteins show a high degree and are highly connected while others are much less connected, with the network showing a significant degree of dissortativeness. We have attempted to integrate this virus protein-protein interaction network into the largest protein-protein interaction network of Arabidopsis thaliana, a susceptible laboratory host. To make the interpretation of data and results easier, we have developed a new approach for visualizing and analyzing the dynamic spread on the host network of the local perturbations induced by viral proteins. We found that local perturbations can reach the entire host protein-protein interaction network, although the efficiency of this spread depends on the particular viral proteins. By comparing the spread dynamics among viral proteins, we found that some proteins spread their effects fast and efficiently by attacking hubs in the host network while other proteins exert more local effects. Conclusions: Our findings confirm that potyvirus protein-protein interaction networks are highly connected, with some proteins playing the role of hubs. Several topological parameters depend linearly on the protein degree. Some viral proteins focus their effect in only host hubs while others diversify its effect among several proteins at the first step. Future new data will help to refine our model and to improve our predictions.This work was supported by the Spanish Ministerio de Economia y Competitividad grants BFU2012-30805 (to SFE), DPI2011-28112-C04-02 (to AF) and DPI2011-28112-C04-01 (to JP). The first two authors are recipients of fellowships from the Spanish Ministerio de Economia y Competitividad: BES-2012-053772 (to GB) and BES-2012-057812 (to AF-F).Bosque, G.; Folch Fortuny, A.; Picó Marco, JA.; Ferrer, A.; Elena Fito, SF. (2014). Topology analysis and visualization of Potyvirus protein-protein interaction network. BMC Systems Biology. 129(8):1-15. doi:10.1186/s12918-014-0129-8S1151298Gibbs A, Ohshima K: Potyviruses and the digital revolution. Annu Rev Phytopathol. 2010, 48: 205-223. 10.1146/annurev-phyto-073009-114404.Spence NJ, Phiri NA, Hughes SL, Mwaniki A, Simons S, Oduor G, Chacha D, Kuria A, Ndirangu S, Kibata GN, Marris GC: Economic impact of turnip mosaic virus, cauliflower mosaic virus and beet mosaic virus in three Kenyan vegetables. Plant Pathol. 2007, 56: 317-323. 10.1111/j.1365-3059.2006.01498.x.Ward CW, Shukla DD: Taxonomy of potyviruses: current problems and some solutions. Intervirology. 1991, 32: 269-296.Riechmann JL, Laín S, García JA: Highlights and prospects of potyvirus molecular biology. J Gen Virol. 1992, 73 (Pt 1): 1-16. 10.1099/0022-1317-73-1-1.Elena SF, Rodrigo G: Towards an integrated molecular model of plant-virus interactions. Curr Opin Virol. 2012, 2: 719-724. 10.1016/j.coviro.2012.09.004.Wei T, Zhang C, Hong J, Xiong R, Kasschau KD, Zhou X, Carrington JC, Wang A: Formation of complexes at plasmodesmata for potyvirus intercellular movement is mediated by the viral protein P3N-PIPO. PLoS Pathog. 2010, 6: e1000962-10.1371/journal.ppat.1000962.Chung BY-W, Miller WA, Atkins JF, Firth AE: An overlapping essential gene in the Potyviridae. Proc Natl Acad Sci. 2008, 105: 5897-5902. 10.1073/pnas.0800468105.Allison R, Johnston RE, Dougherty WG: The nucleotide sequence of the coding region of tobacco etch virus genomic RNA: evidence for the synthesis of a single polyprotein. Virology. 1986, 154: 9-20. 10.1016/0042-6822(86)90425-3.Domier LL, Franklin KM, Shahabuddin M, Hellmann GM, Overmeyer JH, Hiremath ST, Siaw MF, Lomonossoff GP, Shaw JG, Rhoads RE: The nucleotide sequence of tobacco vein mottling virus RNA. Nucleic Acids Res. 1986, 14: 5417-5430. 10.1093/nar/14.13.5417.Revers F, Le Gall O, Candresse T, Maule AJ: New advances in understanding the molecular biology of plant/potyvirus interactions. Mol Plant Microbe Interact. 1999, 12: 367-376. 10.1094/MPMI.1999.12.5.367.Urcuqui-Inchima S, Haenni AL, Bernardi F: Potyvirus proteins: a wealth of functions. Virus Res. 2001, 74: 157-175. 10.1016/S0168-1702(01)00220-9.Merits A, Rajamäki M-L, Lindholm P, Runeberg-Roos P, Kekarainen T, Puustinen P, Mäkeläinen K, Valkonen JPT, Saarma M: Proteolytic processing of potyviral proteins and polyprotein processing intermediates in insect and plant cells. J Gen Virol. 2002, 83: 1211-1221.Adams MJ, Antoniw JF, Beaudoin F: Overview and analysis of the polyprotein cleavage sites in the family Potyviridae. Mol Plant Pathol. 2005, 6: 471-487. 10.1111/j.1364-3703.2005.00296.x.Zheng H, Yan F, Lu Y, Sun L, Lin L, Cai L, Hou M, Chen J: Mapping the self-interacting domains of TuMV HC-Pro and the subcellular localization of the protein. Virus Genes. 2011, 42: 110-116. 10.1007/s11262-010-0538-8.Culver JN, Padmanabhan MS: Virus-induced disease: altering host physiology one interaction at a time. Annu Rev Phytopathol. 2007, 45: 221-243. 10.1146/annurev.phyto.45.062806.094422.De Las Rivas J, Fontanillo C: Protein-protein interactions essentials: key concepts to building and analyzing interactome networks. PLoS Comput Biol. 2010, 6: e1000807-10.1371/journal.pcbi.1000807.Bornke F: Protein Interaction Networks. Anal Biol Netw. Edited by: Junker BH, Schreiber F. 2008, John Wiley & Sons, Inc, Hoboken, NJ, USA, 207-232. 10.1002/9780470253489.ch9.Phizicky EM, Fields S: Protein-protein interactions: methods for detection and analysis. Microbiol Rev. 1995, 59: 94-123.Brückner A, Polge C, Lentze N, Auerbach D, Schlattner U: Yeast two-hybrid, a powerful tool for systems biology. Int J Mol Sci. 2009, 10: 2763-2788. 10.3390/ijms10062763.Fields S, Song O: A novel genetic system to detect protein-protein interactions. Nature. 1989, 340: 245-246. 10.1038/340245a0.Ho Y, Gruhler A, Heilbut A, Bader GD, Moore L, Adams S-L, Millar A, Taylor P, Bennett K, Boutilier K, Yang L, Wolting C, Donaldson I, Schandorff S, Shewnarane J, Vo M, Taggart J, Goudreault M, Muskat B, Alfarano C, Dewar D, Lin Z, Michalickova K, Willems AR, Sassi H, Nielsen PA, Rasmussen KJ, Andersen JR, Johansen LE, Hansen LH, et al: Systematic identification of protein complexes in Saccharomyces cerevisiae by mass spectrometry. Nature. 2002, 415: 180-183. 10.1038/415180a.Hu C-D, Chinenov Y, Kerppola TK: Visualization of interactions among bZIP and Rel family proteins in living cells using bimolecular fluorescence complementation. Mol Cell. 2002, 9: 789-798. 10.1016/S1097-2765(02)00496-3.Kodama Y, Hu C-D: An improved bimolecular fluorescence complementation assay with a high signal-to-noise ratio. Biotechniques. 2010, 49: 793-805. 10.2144/000113519.Rual J-F, Venkatesan K, Hao T, Hirozane-Kishikawa T, Dricot A, Li N, Berriz GF, Gibbons FD, Dreze M, Ayivi-Guedehoussou N, Klitgord N, Simon C, Boxem M, Milstein S, Rosenberg J, Goldberg DS, Zhang LV, Wong SL, Franklin G, Li S, Albala JS, Lim J, Fraughton C, Llamosas E, Cevik S, Bex C, Lamesch P, Sikorski RS, Vandenhaute J, Zoghbi HY, et al: Towards a proteome-scale map of the human protein-protein interaction network. Nature. 2005, 437: 1173-1178. 10.1038/nature04209.Venkatesan K, Rual J-F, Vazquez A, Stelzl U, Lemmens I, Hirozane-Kishikawa T, Hao T, Zenkner M, Xin X, Goh K-I, Yildirim MA, Simonis N, Heinzmann K, Gebreab F, Sahalie JM, Cevik S, Simon C, de Smet A-S, Dann E, Smolyar A, Vinayagam A, Yu H, Szeto D, Borick H, Dricot A, Klitgord N, Murray RR, Lin C, Lalowski M, Timm J, et al: An empirical framework for binary interactome mapping. Nat Methods. 2008, 6: 83-90. 10.1038/nmeth.1280.Uetz P, Giot L, Cagney G, Mansfield TA, Judson RS, Knight JR, Lockshon D, Narayan V, Srinivasan M, Pochart P, Qureshi-Emili A, Li Y, Godwin B, Conover D, Kalbfleisch T, Vijayadamodar G, Yang M, Johnston M, Fields S, Rothberg JM: A comprehensive analysis of protein-protein interactions in Saccharomyces cerevisiae. Nature. 2000, 403: 623-627. 10.1038/35001009.Ito T, Chiba T, Ozawa R, Yoshida M, Hattori M, Sakaki Y: A comprehensive two-hybrid analysis to explore the yeast protein interactome. Proc Natl Acad Sci. 2001, 98: 4569-4574. 10.1073/pnas.061034498.Uetz P, Dong Y-A, Zeretzke C, Atzler C, Baiker A, Berger B, Rajagopala SV, Roupelieva M, Rose D, Fossum E, Haas J: Herpesviral protein networks and their interaction with the human proteome. Science. 2006, 311: 239-242. 10.1126/science.1116804.Fossum E, Friedel CC, Rajagopala SV, Titz B, Baiker A, Schmidt T, Kraus T, Stellberger T, Rutenberg C, Suthram S, Bandyopadhyay S, Rose D, von Brunn A, Uhlmann M, Zeretzke C, Dong Y-A, Boulet H, Koegl M, Bailer SM, Koszinowski U, Ideker T, Uetz P, Zimmer R, Haas J: Evolutionarily conserved herpesviral protein interaction networks. PLoS Pathog. 2009, 5: e1000570-10.1371/journal.ppat.1000570.Rodrigo G, Carrera J, Ruiz-Ferrer V, del Toro FJ, Llave C, Voinnet O, Elena SF: A meta-analysis reveals the commonalities and differences in Arabidopsis thaliana response to different viral pathogens. PLoS One. 2012, 7: e40526-10.1371/journal.pone.0040526.Newman MEJ: The structure and function of complex networks. SIAM Rev. 2003, 45: 167-256. 10.1137/S003614450342480.Watts DJ, Strogatz SH: Collective dynamics of "small-world" networks. Nature. 1998, 393: 440-442. 10.1038/30918.Albert R, Barabási A-L: Statistical mechanics of complex networks. Rev Mod Phys. 2002, 74: 47-97. 10.1103/RevModPhys.74.47.Boccaletti S, Latora V, Moreno Y, Chávez M, Hwang D: Complex networks: structure and dynamics. Phys Rep. 2006, 424: 175-308. 10.1016/j.physrep.2005.10.009.Barabási A-L, Oltvai ZN: Network biology: understanding the cell's functional organization. Nat Rev Genet. 2004, 5: 101-113. 10.1038/nrg1272.Albert R, DasGupta B, Hegde R, Sivanathan GS, Gitter A, Gürsoy G, Paul P, Sontag E: Computationally efficient measure of topological redundancy of biological and social networks. Phys Rev E. 2011, 84: 036117-10.1103/PhysRevE.84.036117.Cho D-Y, Kim Y-A, Przytycka TM: Chapter 5: network biology approach to complex diseases. PLoS Comput Biol. 2012, 8: e1002820-10.1371/journal.pcbi.1002820.Russell RB, Aloy P: Targeting and tinkering with interaction networks. Nat Chem Biol. 2008, 4: 666-673. 10.1038/nchembio.119.Winterbach W, Mieghem PV, Reinders M, Wang H, de Ridder D: Topology of molecular interaction networks. BMC Syst Biol. 2013, 7: 90-10.1186/1752-0509-7-90.Pržulj N: Protein-protein interactions: making sense of networks via graph-theoretic modeling. Bioessays. 2011, 33: 115-123. 10.1002/bies.201000044.Yook S-H, Oltvai ZN, Barabási A-L: Functional and topological characterization of protein interaction networks. Proteomics. 2004, 4: 928-942. 10.1002/pmic.200300636.Pržulj N, Wigle DA, Jurisica I: Functional topology in a network of protein interactions. Bioinformatics. 2004, 20: 340-348. 10.1093/bioinformatics/btg415.Elena SF, Carrera J, Rodrigo G: A systems biology approach to the evolution of plant-virus interactions. Curr Opin Plant Biol. 2011, 14: 372-377. 10.1016/j.pbi.2011.03.013.Zilian E, Maiss E: Detection of plum pox potyviral protein-protein interactions in planta using an optimized mRFP-based bimolecular fluorescence complementation system. J Gen Virol. 2011, 92: 2711-2723. 10.1099/vir.0.033811-0.Lin L, Shi Y, Luo Z, Lu Y, Zheng H, Yan F, Chen J, Chen J, Adams MJ, Wu Y: Protein-protein interactions in two potyviruses using the yeast two-hybrid system. Virus Res. 2009, 142: 36-40. 10.1016/j.virusres.2009.01.006.Guo D, Rajamäki M-L, Saarma M, Valkonen JPT: Towards a protein interaction map of potyviruses: protein interaction matrixes of two potyviruses based on the yeast two-hybrid system. J Gen Virol. 2001, 82: 935-939.Shen WT, Wang MQ, Yan P, Gao L, Zhou P: Protein interaction matrix of papaya ringspot virus type P based on a yeast two-hybrid system. Acta Virol. 2010, 54: 49-54. 10.4149/av_2010_01_49.Kang S, Ws L, Kh K: A protein interaction map of soybean mosaic virus strain G7H based on the yeast two-hybrid system. Mol Cells. 2004, 18: 122-126.Yambao MLM, Masuta C, Nakahara K, Uyeda I: The central and C-terminal domains of VPg of Clover yellow vein virus are important for VPg-HCPro and VPg-VPg interactions. J Gen Virol. 2003, 84: 2861-2869. 10.1099/vir.0.19312-0.Evidence for network evolution in an Arabidopsis interactome map. Science. 2011, 333: 601-607. 10.1126/science.1203877.Shannon P, Markiel A, Ozier O, Baliga NS, Wang JT, Ramage D, Amin N, Schwikowski B, Ideker T: Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res. 2003, 13: 2498-2504. 10.1101/gr.1239303.Fouss F, Francoisse K, Yen L, Pirotte A, Saerens M: An experimental investigation of kernels on graphs for collaborative recommendation and semisupervised classification. Neural Netw Off J Int Neural Netw Soc. 2012, 31: 53-72. 10.1016/j.neunet.2012.03.001.Bass JIF, Diallo A, Nelson J, Soto JM, Myers CL, Walhout AJM: Using networks to measure similarity between genes: association index selection. Nat Methods. 2013, 10: 1169-1176. 10.1038/nmeth.2728.Newman MEJ: Assortative mixing in networks. Phys Rev Lett. 2002, 89: 208701-10.1103/PhysRevLett.89.208701

    Virus Adaptation by Manipulation of Host's Gene Expression

    Get PDF
    Viruses adapt to their hosts by evading defense mechanisms and taking over cellular metabolism for their own benefit. Alterations in cell metabolism as well as side-effects of antiviral responses contribute to symptoms development and virulence. Sometimes, a virus may spill over from its usual host species into a novel one, where usually will fail to successfully infect and further transmit to new host. However, in some cases, the virus transmits and persists after fixing beneficial mutations that allow for a better exploitation of the new host. This situation would represent a case for a new emerging virus. Here we report results from an evolution experiment in which a plant virus was allowed to infect and evolve on a naïve host. After 17 serial passages, the viral genome has accumulated only five changes, three of which were non-synonymous. An amino acid substitution in the viral VPg protein was responsible for the appearance of symptoms, whereas one substitution in the viral P3 protein the epistatically contributed to exacerbate severity. DNA microarray analyses show that the evolved and ancestral viruses affect the global patterns of host gene expression in radically different ways. A major difference is that genes involved in stress and pathogen response are not activated upon infection with the evolved virus, suggesting that selection has favored viral strategies to escape from host defenses

    Nuclear Factor 90(NF90) targeted to TAR RNA inhibits transcriptional activation of HIV-1

    Get PDF
    <p>Abstract</p> <p>Background</p> <p>Examination of host cell-based inhibitors of HIV-1 transcription may be important for attenuating viral replication. We describe properties of a cellular double-stranded RNA binding protein with intrinsic affinity for HIV-1 TAR RNA that interferes with Tat/TAR interaction and inhibits viral gene expression.</p> <p>Results</p> <p>Utilizing TAR affinity fractionation, North-Western blotting, and mobility-shift assays, we show that the C-terminal variant of nuclear factor 90 (NF90ctv) with strong affinity for the TAR RNA, competes with Tat/TAR interaction <it>in vitro</it>. Analysis of the effect of NF90ctv-TAR RNA interaction <it>in vivo </it>showed significant inhibition of Tat-transactivation of HIV-1 LTR in cells expressing NF90ctv, as well as changes in histone H3 lysine-4 and lysine-9 methylation of HIV chromatin that are consistent with the epigenetic changes in transcriptionally repressed gene.</p> <p>Conclusion</p> <p>Structural integrity of the TAR element is crucial in HIV-1 gene expression. Our results show that perturbation Tat/TAR RNA interaction by the dsRNA binding protein is sufficient to inhibit transcriptional activation of HIV-1.</p

    Formation of Complexes at Plasmodesmata for Potyvirus Intercellular Movement Is Mediated by the Viral Protein P3N-PIPO

    Get PDF
    Intercellular transport of viruses through cytoplasmic connections, termed plasmodesmata (PD), is essential for systemic infection in plants by viruses. Previous genetic and ultrastructural data revealed that the potyvirus cyclindrical inclusion (CI) protein is directly involved in cell-to-cell movement, likely through the formation of conical structures anchored to and extended through PD. In this study, we demonstrate that plasmodesmatal localization of CI in N. benthamiana leaf cells is modulated by the recently discovered potyviral protein, P3N-PIPO, in a CI:P3N-PIPO ratio-dependent manner. We show that P3N-PIPO is a PD-located protein that physically interacts with CI in planta. The early secretory pathway, rather than the actomyosin motility system, is required for the delivery of P3N-PIPO and CI to PD. Moreover, CI mutations that disrupt virus cell-to-cell movement compromise PD-localization capacity. These data suggest that the CI and P3N-PIPO complex coordinates the formation of PD-associated structures that facilitate the intercellular movement of potyviruses in infected plants

    Propagation of kinetic uncertainties through a canonical topology of the TLR4 signaling network in different regions of biochemical reaction space

    Get PDF
    <p>Abstract</p> <p>Background</p> <p>Signal transduction networks represent the information processing systems that dictate which dynamical regimes of biochemical activity can be accessible to a cell under certain circumstances. One of the major concerns in molecular systems biology is centered on the elucidation of the robustness properties and information processing capabilities of signal transduction networks. Achieving this goal requires the establishment of causal relations between the design principle of biochemical reaction systems and their emergent dynamical behaviors.</p> <p>Methods</p> <p>In this study, efforts were focused in the construction of a relatively well informed, deterministic, non-linear dynamic model, accounting for reaction mechanisms grounded on standard mass action and Hill saturation kinetics, of the canonical reaction topology underlying Toll-like receptor 4 (TLR4)-mediated signaling events. This signaling mechanism has been shown to be deployed in macrophages during a relatively short time window in response to lypopolysaccharyde (LPS) stimulation, which leads to a rapidly mounted innate immune response. An extensive computational exploration of the biochemical reaction space inhabited by this signal transduction network was performed via local and global perturbation strategies. Importantly, a broad spectrum of biologically plausible dynamical regimes accessible to the network in widely scattered regions of parameter space was reconstructed computationally. Additionally, experimentally reported transcriptional readouts of target pro-inflammatory genes, which are actively modulated by the network in response to LPS stimulation, were also simulated. This was done with the main goal of carrying out an unbiased statistical assessment of the intrinsic robustness properties of this canonical reaction topology.</p> <p>Results</p> <p>Our simulation results provide convincing numerical evidence supporting the idea that a canonical reaction mechanism of the TLR4 signaling network is capable of performing information processing in a robust manner, a functional property that is independent of the signaling task required to be executed. Nevertheless, it was found that the robust performance of the network is not solely determined by its design principle (topology), but this may be heavily dependent on the network's current position in biochemical reaction space. Ultimately, our results enabled us the identification of key rate limiting steps which most effectively control the performance of the system under diverse dynamical regimes.</p> <p>Conclusions</p> <p>Overall, our <it>in silico </it>study suggests that biologically relevant and non-intuitive aspects on the general behavior of a complex biomolecular network can be elucidated only when taking into account a wide spectrum of dynamical regimes attainable by the system. Most importantly, this strategy provides the means for a suitable assessment of the inherent variational constraints imposed by the structure of the system when systematically probing its parameter space.</p

    Human macrophages differentiated in the presence of vitamin D3 restrict dengue virus infection and innate responses by downregulating mannose receptor expression

    Get PDF
    ABSTARCT: Severe dengue disease is associated with high viral loads and overproduction of pro-inflammatory cytokines, suggesting impairment in the control of dengue virus (DENV) and the mechanisms that regulate cytokine production. Vitamin D3 has been described as an important modulator of immune responses to several pathogens. Interestingly, increasing evidence has associated vitamin D with decreased DENV infection and early disease recovery, yet the molecular mechanisms whereby vitamin D reduces DENV infection are not well understood. METHODS AND PRINCIPAL FINDINGS: Macrophages represent important cell targets for DENV replication and consequently, they are key drivers of dengue disease. In this study we evaluated the effect of vitamin D3 on the differentiation of monocyte-derived macrophages (MDM) and their susceptibility and cytokine response to DENV. Our data demonstrate that MDM differentiated in the presence of vitamin D3 (D3-MDM) restrict DENV infection and moderate the classical inflammatory cytokine response. Mechanistically, vitamin D3-driven differentiation led to reduced surface expression of C-type lectins including the mannose receptor (MR, CD206) that is known to act as primary receptor for DENV attachment on macrophages and to trigger of immune signaling. Consequently, DENV bound less efficiently to vitamin D3-differentiated macrophages, leading to lower infection. Interestingly, IL-4 enhanced infection was reduced in D3-MDM by restriction of MR expression. Moreover, we detected moderate secretion of TNF-α, IL-1β, and IL-10 in D3-MDM, likely due to less MR engagement during DENV infection. CONCLUSIONS/SIGNIFICANCE: Our findings reveal a molecular mechanism by which vitamin D counteracts DENV infection and progression of severe disease, and indicates its potential relevance as a preventive or therapeutic candidate
    corecore