Evolutionary Analysis of Grapevine Virus A: Insights into the Dispersion in Sicily (Italy)

Grapevine virus A (GVA) is a phloem-restricted virus (genus Vitivirus, family Betaflexiviridae) that cause crop losses of 5–22% in grapevine cultivars, transmitted by different species of pseudococcid mealybugs, the mealybug Heliococcus bohemicus, and by the scale insect Neopulvinaria innumerabilis. In this work, we studied the genetic structure and molecular variability of GVA, ascertaining its presence and spread in different commercial vineyards of four Sicilian provinces (Italy). In total, 11 autochthonous grapevine cultivars in 20 commercial Sicilian vineyards were investigated, for a total of 617 grapevine samples. Preliminary screening by serological (DAS-ELISA) analysis for GVA detection were conducted and subsequently confirmed by molecular (RT-PCR) analysis. Results showed that 10 out of the 11 cultivars analyzed were positive to GVA, for a total of 49 out of 617 samples (8%). A higher incidence of infection was detected on ‘Nerello Mascalese’, ‘Carricante’, ‘Perricone’ and ‘Nero d’Avola’ cultivars, followed by ‘Alicante’, ‘Grecanico’, ‘Catarratto’,‘Grillo’, ‘Nerello Cappuccio’ and ‘Zibibbo’, while in the ‘Moscato’ cultivar no infection was found. Phylogenetic analyses carried out on the coat protein (CP) gene of 16 GVA sequences selected in this study showed a low variability degree among the Sicilian isolates, closely related with other Italian isolates retrieved in GenBank, suggesting a common origin, probably due to the exchange of infected propagation material within the Italian territory

Epidemiological Survey of Grapevine Leafroll-Associated Virus 1 and 3 in Sicily (Italy): Genetic Structure and Molecular Variability

Background: the most widely distributed and virulent Grapevine leafroll-associated viruses (GLRaV) that affect grapevine are GLRaV-1 and GLRaV-3, transmitted semi-persistently by different mealybugs and soft scales, mainly causing downward rolling of the leaf margins and interveinal reddening. Methods: the main objectives of this study were to investigate the genetic structure and molecular diversity of GLRaV-1 and GLRaV-3 in 617 samples from 11 autochthonous Sicilian grapevine cultivars, ascertaining their presence and spread. The detection was implemented by serological and molecular analyses and subsequently phylogenetic analyses on selected Sicilian isolates were conducted. Results: in total, 33 and 138 samples resulted positive to GLRaV-1 and GLRaV-3, with an incidence of 5.34% and 22.36%, respectively; 9 out of the 11 cultivars resulted positive, while the presence of both viruses was not found in ‘Grillo’ and ‘Moscato’ cultivars. Conclusions: phylogenetic analyses of the coat protein (CP) gene of 12 GLRaV-1 selected sequences showed a close relationship with European isolates; the discrete nucleotide differentiation and positive selection could demonstrate a current increase in population fitness. The phylogenetic analyses of the CP gene of 31 GLRaV-3 Sicilian CP sequences demonstrates a close relationship between Sicilian and different countries isolates; a certain stability of GLRaV-3 in the different cultivars analyzed is suggested by the discrete differentiation nucleotide and negative selection of the Sicilian isolates

Simultaneous detection of the seven main tomato-infecting RNA viruses by two multiplex reverse transcription polymerase chain reactions

Cucumber mosaic virus, Tomato spotted wilt virus, Tomato mosaic virus, Tomato chlorosis virus, Pepino mosaic virus, Torrado tomato virus and Tomato infectious chlorosis virus cause serious damage and significant economic losses in tomato crops worldwide. The early detection of these pathogens is essential for preventing the viruses from spreading and improving their control. In this study, a procedure based on two multiplex RT-PCRs was developed for the sensitive and reliable detection of these seven viruses. Serial dilutions of positive controls were analysed by this methodology, and the results were compared with those obtained by ELISA and singleplex versions of RT-PCR. The multiplex and singleplex RT-PCR assays were able to detect specific targets at the same dilution and were 100 times more sensitive than ELISA. The multiplex versions were able to detect composite samples containing different concentrations of specific targets at ratios from 1:1 to 1:1000. In addition, 45 symptomatic tomato samples collected in different tomato-growing areas of Sicily (Italy) were analysed by multiplex RT-PCR, singleplex RT-PCR and commercially available ELISA tests. Similar results were obtained using the RT-PCR techniques, with a higher sensitivity than ELISA, revealing a common occurrence of mixed infections and confirming the presence of these seven virus species in ItalyPanno, S.; Davino, S.; Rubio, L.; Rangel, E.; Davino, M.; García Hernández, J.; Olmos Castelló, A. (2012). Simultaneous detection of the seven main tomato-infecting RNA viruses by two multiplex reverse transcription polymerase chain reactions. Journal of Virological Methods. 186(1-2):152-156. doi:10.1016/j.jviromet.2012.08.003S1521561861-

First report of Tomato leaf curl New Delhi virus affecting zucchini squash in an important horticultural area of southern Italy

omato leaf curl New Delhi virus (ToLCNDV) is a bipartite begomovirus (family Geminiviridae) which infects species in the families Cucurbitaceae and Solanaceae (Padidam et al., 1995; Mizutani et al., 2011). Begomoviruses are transmitted by the whitefly Bemisia tabaci in a persistent manner (Rosen et al., 2015). In October 2015, severe symptoms not previously reported by growers in the horticultural area of the Province of Trapani (Sicily, Italy) were observed on zucchini squash (Cucurbita pepo) in open fields. The symptoms included yellow mosaic, severe leaf curling, swelling of veins of young leaves, shortening of internodes, roughness of the skin of fruit and reduced fruit size; the symptoms were reminiscent of those caused by begomoviruses. Total DNA was extracted from young leaves of 22 plants by phenol/chloroform extraction and ethanol precipitation. PCR was performed with the A1F/A1R primer pair (Mizutani et al., 2011) for the DNA-A component and the pair described by Ruiz et al. (2015) for the DNA-B component to amplify a ~1200-bp fragment of DNA-A and a ~890 bp fragment of DNA-B, respectively. All 10 samples were positive by PCR with both primer pairs. No amplification products were obtained using primers specific for the monopartite begomoviruses Tomato yellow leaf curl virus and Tomato yellow leaf curl Sardinia virus (Davino et al., 2008). DAS-ELISA analysis for Cucumber mosaic virus, Papaya ring spot virus and Zucchini yellow mosaic virus (Loewe Phytodiagnostica, Germany) yielded negative results

First report of Southern tomato virus in tomato crops in Italy

Twenty-five tomato plants (Solanum lycopersicum) showing symptoms of viral disease were sampled from different greenhouses in the Ragusa province (Southern Italy) in summer 2015. Plants showed chlorosis on leaves and fruits and deformation and depressed spots of dark colour which later evolved into necrosis (Fig. 1). These symptoms were observed on the entire cluster of fruit making the product unsaleable. Based on these symptoms, samples were analysed for Cucumber mosaic virus, Pepino mosaic virus (PepMV), Potato virus Y (PVY), Tomato mosaic virus and Tomato spotted wilt virus by DAS-ELISA with polyclonal antibodies (Loewe Phytodiagnostica, Germany), and for the emerging Southern tomato virus (STV) by RT-PCR (Candresse et al., 2013). Three of the 25 samples analysed were positive only for PepMV whereas the rest of the samples had mixed infections: fifteen plants were co-infected with PepMV and PVY, and seven with STV, PepMV and PVY. The amplification product (894 bp) obtained from one STV-infected plant was purified using the UltraClean® PCR Clean-Up kit (Mo-Bio, USA) and the consensus nucleotide sequences were determined in both senses using an ABI 3130XL Genetic Analyzer (Life Technologies, USA) and deposited in GenBank under accession number KT948068. The nucleotide identity of the Italian STV isolate was greater than 99% with STV isolates Mexico1 (EF442780), BD-13 (KT634055), CN-12 (KT438549), MS7 (EU413670) and FR (KC333078) from Mexico, Bangladesh, China, USA and France, respectively

Psychological Predictors of Energy Saving Behavior: A Meta-Analytic Approach

Understanding how psychological processes drive human energy choices is an urgent, and yet relatively under-investigated, need for contemporary society. A knowledge gap still persists on the links between psychological factors identified in earlier studies and people’s behaviors in the energy domain. This research applies a meta-analytical procedure to assess the strength of the associations between five different classes of individual variables (i.e.,: attitudes, intentions, values, awareness, and emotions) and energy-saving behavioral intentions and behaviors (self-reported and actual). Based on a systematic review of studies published between 2007 and 2017, we estimate the average effect size of predictor-criterion relations, and we assess relevant moderators and publication bias, drawing on data obtained from 102 independent samples reported in 67 published studies (N = 59.948). Results from a series of five single meta-analyses reveal a pattern of significant positive associations between the selected psychological determinants and energy-saving indicators: associations between individual-level predictors and energy-saving outcomes are positive and moderate in size, ranging from large effects for emotions to small-moderate effects for pro-environmental values. Interestingly, moderation analysis reveals, among other things, that attitude-behavior links are not statistically significant when actual behavior is considered as an outcome. Implications for policy interventions are discussed

Next-generation methods for early disease detection in crops

: Plant pathogens are commonly identified in the field by the typical disease symptoms that they can cause. The efficient early detection and identification of pathogens are essential procedures to adopt effective management practices that reduce or prevent their spread in order to mitigate the negative impacts of the disease. In this review, the traditional and innovative methods for early detection of the plant pathogens highlighting their major advantages and limitations are presented and discussed. Traditional techniques of diagnosis used for plant pathogen identification are focused typically on the DNA, RNA (when molecular methods), and proteins or peptides (when serological methods) of the pathogens. Serological methods based on mainly enzyme-linked immunosorbent assay (ELISA) are the most common method used for pathogen detection due to their high-throughput potential and low cost. This technique is not particularly reliable and sufficiently sensitive for many pathogens detection during the asymptomatic stage of infection. For non-cultivable pathogens in the laboratory, nucleic acid-based technology is the best choice for consistent pathogen detection or identification. Lateral flow systems are innovative tools that allow fast and accurate results even in field conditions, but they have sensitivity issues to be overcome. PCR assays performed on last-generation portable thermocyclers may provide rapid detection results in situ. The advent of portable instruments can speed pathogen detection, reduce commercial costs, and potentially revolutionize plant pathology. This review provides information on current methodologies and procedures for the effective detection of different plant pathogens. © 2023 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry

Actas de Horticultura

El cultivo de los cítricos comenzó en Extremo Oriente hace unos 4.000 años, en las regiones que ocupan actualmente China y Japón. Los grandes movimientos migratorios que ocasionaron las conquistas de Alejandro Magno, la expansión del Islam y el descubrimiento de América favorecieron la expansión de este cultivo por todo el mundo. Sin embargo, fue a partir del siglo XVIII cuando la citricultura adquirió una relevancia económica, tanto desde el punto de vista industrial como ornamental. El movimiento de plantas fue acompañado por la difusión de diversos patógenos, aunque afortunadamente, sólo una parte de los presentes en las regiones de origen han llegado en las nuevas áreas de cultivo. En Italia, la superficie cultivada con cítricos es de aproximadamente 160.000 Ha y de éstas, alrededor del 60% se encuentran en Sicilia. En los últimos años ha cobrado relevancia la producción de cítricos destinados a fines ornamentales, con una producción media anual en Sicilia de unos 4,5 millones de plantas, lo que la convierte en el máximo productor de cítricos ornamentales de Europa. Entre estos se encuentran los limones ornamentales, distintos kumquats, calamondín, naranjo amargo, cidro, naranjo dulce, mandarinos y pomelos. Desde el punto de vista sanitario, hay que tener en cuenta que las plantas ornamentales que se venden por todo el territorio Europeo pueden actuar como reservorios y facilitar el tráfico y emergencia de nuevas enfermedades. Entre las enfermedades más comunes en los cítricos ornamentales se encuentra la exocortis, las protuberancias nerviales (vein enation), las manchas anulares (ringspot), la psoriasis, la tristeza, la variegación, las concavidades gomosas (concave gum), la impietratura, el stubborn y el Huanglongbing. En este artículo se describen las principales enfermedades que afectan a los cítricos ornamentales y que representan un riesgo en la Comunidad Europea

Development of a Real-Time Loop-Mediated Isothermal Amplification Assay for the Rapid Detection of Olea Europaea Geminivirus

A real-time loop-mediated isothermal amplification (LAMP) assay was developed for simple, rapid and efficient detection of the Olea europaea geminivirus (OEGV), a virus recently reported in different olive cultivation areas worldwide. A preliminary screening by end-point PCR for OEGV detection was conducted to ascertain the presence of OEGV in Sicily. A set of six real-time LAMP primers, targeting a 209-nucleotide sequence elapsing the region encoding the coat protein (AV1) gene of OEGV, was designed for specific OEGV detection. The specificity, sensitivity, and accuracy of the diagnostic assay were determined. The LAMP assay showed no cross-reactivity with other geminiviruses and was allowed to detect OEGV with a 10-fold higher sensitivity than conventional end-point PCR. To enhance the potential of the LAMP assay for field diagnosis, a simplified sample preparation procedure was set up and used to monitor OEGV spread in different olive cultivars in Sicily. As a result of this survey, we observed that 30 out of 70 cultivars analyzed were positive to OEGV, demonstrating a relatively high OEGV incidence. The real-time LAMP assay developed in this study is suitable for phytopathological laboratories with limited facilities and resources, as well as for direct OEGV detection in the field, representing a reliable method for rapid screening of olive plant material

Emergence and phylodynamics of Citrus tristeza virus in Sicily, Italy

[EN] Citrus tristeza virus (CTV) outbreaks were detected in Sicily island, Italy for the first time in 2002. To gain insight into the evolutionary forces driving the emergence and phylogeography of these CTV populations, we determined and analyzed the nucleotide sequences of the p20 gene from 108 CTV isolates collected from 2002 to 2009. Bayesian phylogenetic analysis revealed that mild and severe CTV isolates belonging to five different clades (lineages) were introduced in Sicily in 2002. Phylogeographic analysis showed that four lineages co-circulated in the main citrus growing area located in Eastern Sicily. However, only one lineage (composed of mild isolates) spread to distant areas of Sicily and was detected after 2007. No correlation was found between genetic variation and citrus host, indicating that citrus cultivars did not exert differential selective pressures on the virus. The genetic variation of CTV was not structured according to geographical location or sampling time, likely due to the multiple introduction events and a complex migration pattern with intense co- and recirculation of different lineages in the same area. The phylogenetic structure, statistical tests of neutrality and comparison of synonymous and nonsynonymous substitution rates suggest that weak negative selection and genetic drift following a rapid expansion may be the main causes of the CTV variability observed today in Sicily. Nonetheless, three adjacent amino acids at the p20 N-terminal region were found to be under positive selection, likely resulting from adaptation events.A.W. and S.F.E. were supported by grant BFU2012-30805 from the Spanish Secretaria de Estado de Investigacion, Desarrollo e Innovacion and by a grant 22371 from the John Templeton Foundation. The opinions expressed in this publication are those of the authors and do not necessarily reflect the views of the John Templeton Foundation. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.Davino, S.; Willemsen, A.; Panno. Stefano; Davino, M.; Catara, A.; Elena Fito, SF.; Rubio, L. (2013). Emergence and phylodynamics of Citrus tristeza virus in Sicily, Italy. PLoS ONE. 8:66700-66700. doi:10.1371/journal.pone.0066700S66700667008Domingo, 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.51.1.151Grenfell, B. T. (2004). Unifying the Epidemiological and Evolutionary Dynamics of Pathogens. Science, 303(5656), 327-332. doi:10.1126/science.1090727Moya, A., Holmes, E. C., & González-Candelas, F. (2004). The population genetics and evolutionary epidemiology of RNA viruses. Nature Reviews Microbiology, 2(4), 279-288. doi:10.1038/nrmicro863Gray, R. R., Tatem, A. J., Lamers, S., Hou, W., Laeyendecker, O., Serwadda, D., … Salemi, M. (2009). Spatial phylodynamics of HIV-1 epidemic emergence in east Africa. AIDS, 23(14), F9-F17. doi:10.1097/qad.0b013e32832faf61Holmes, E. C. (2008). Evolutionary History and Phylogeography of Human Viruses. Annual Review of Microbiology, 62(1), 307-328. doi:10.1146/annurev.micro.62.081307.162912Pybus, O. G., Suchard, M. A., Lemey, P., Bernardin, F. J., Rambaut, A., Crawford, F. W., … Delwart, E. L. (2012). Unifying the spatial epidemiology and molecular evolution of emerging epidemics. Proceedings of the National Academy of Sciences, 109(37), 15066-15071. doi:10.1073/pnas.1206598109Talbi, C., Lemey, P., Suchard, M. A., Abdelatif, E., Elharrak, M., Jalal, N., … Bourhy, H. (2010). Phylodynamics and Human-Mediated Dispersal of a Zoonotic Virus. PLoS Pathogens, 6(10), e1001166. doi:10.1371/journal.ppat.1001166Vijaykrishna, D., Bahl, J., Riley, S., Duan, L., Zhang, J. X., Chen, H., … Guan, Y. (2008). Evolutionary Dynamics and Emergence of Panzootic H5N1 Influenza Viruses. PLoS Pathogens, 4(9), e1000161. doi:10.1371/journal.ppat.1000161Gómez, P., Sempere, R. N., Aranda, M. A., & Elena, S. F. (2012). Phylodynamics of Pepino mosaic virus in Spain. European Journal of Plant Pathology, 134(3), 445-449. doi:10.1007/s10658-012-0019-0Lefeuvre, P., Martin, D. P., Harkins, G., Lemey, P., Gray, A. J. A., Meredith, S., … Heydarnejad, J. (2010). The Spread of Tomato Yellow Leaf Curl Virus from the Middle East to the World. PLoS Pathogens, 6(10), e1001164. doi:10.1371/journal.ppat.1001164TOMITAKA, Y., & OHSHIMA, K. (2006). A phylogeographical study of the Turnip mosaic virus population in East Asia reveals an ‘emergent’ lineage in Japan. Molecular Ecology, 15(14), 4437-4457. doi:10.1111/j.1365-294x.2006.03094.xWu, B., Blanchard-Letort, A., Liu, Y., Zhou, G., Wang, X., & Elena, S. F. (2011). Dynamics of Molecular Evolution and Phylogeography of Barley yellow dwarf virus-PAV. PLoS ONE, 6(2), e16896. doi:10.1371/journal.pone.0016896MORENO, P., AMBRÓS, S., ALBIACH-MARTÍ, M. R., GUERRI, J., & PEÑA, L. (2008). Citrus tristeza virus: a pathogen that changed the course of the citrus industry. Molecular Plant Pathology, 9(2), 251-268. doi:10.1111/j.1364-3703.2007.00455.xTatineni, S., Robertson, C. J., Garnsey, S. M., & Dawson, W. O. (2011). A plant virus evolved by acquiring multiple nonconserved genes to extend its host range. Proceedings of the National Academy of Sciences, 108(42), 17366-17371. doi:10.1073/pnas.1113227108Folimonova, S. Y. (2012). Superinfection Exclusion Is an Active Virus-Controlled Function That Requires a Specific Viral Protein. Journal of Virology, 86(10), 5554-5561. doi:10.1128/jvi.00310-12Bar-Joseph, M., Marcus, R., & Lee, R. F. (1989). The Continuous Challenge of Citrus Tristeza Virus Control. Annual Review of Phytopathology, 27(1), 291-316. doi:10.1146/annurev.py.27.090189.001451Davino, S., Rubio, L., & Davino, M. (2005). Molecular analysis suggests that recent Citrus tristeza virus outbreaks in Italy were originated by at least two independent introductions. European Journal of Plant Pathology, 111(3), 289-293. doi:10.1007/s10658-003-2815-zAlbiach-Marti, M. R., Mawassi, M., Gowda, S., Satyanarayana, T., Hilf, M. E., Shanker, S., … Dawson, W. O. (2000). Sequences of Citrus Tristeza Virus Separated in Time and Space Are Essentially Identical. Journal of Virology, 74(15), 6856-6865. doi:10.1128/jvi.74.15.6856-6865.2000Rubio, L., Ayllon, M. A., Kong, P., Fernandez, A., Polek, M., Guerri, J., … Falk, B. W. (2001). Genetic Variation of Citrus Tristeza Virus Isolates from California and Spain: Evidence for Mixed Infections and Recombination. Journal of Virology, 75(17), 8054-8062. doi:10.1128/jvi.75.17.8054-8062.2001Silva, G., Marques, N., & Nolasco, G. (2011). The evolutionary rate of citrus tristeza virus ranks among the rates of the slowest RNA viruses. Journal of General Virology, 93(2), 419-429. doi:10.1099/vir.0.036574-0Mawassi, M., Mietkiewska, E., Gofman, R., Yang, G., & Bar-Joseph, M. (1996). Unusual Sequence Relationships Between Two Isolates of Citrus Tristeza Virus. Journal of General Virology, 77(9), 2359-2364. doi:10.1099/0022-1317-77-9-2359Vives, M. C., Dawson, W. O., Flores, R., L√≥pez, C., Albiach-Mart√≠, M. R., Rubio, L., … Moreno, P. (1999). The complete genome sequence of the major component of a mild citrus tristeza virus isolate. Journal of General Virology, 80(3), 811-816. doi:10.1099/0022-1317-80-3-811Martín, S., Elena, S. F., Guerri, J., Moreno, P., Sambade, A., Rubio, L., … Vives, M. C. (2009). Contribution of recombination and selection to molecular evolution of Citrus tristeza virus. Journal of General Virology, 90(6), 1527-1538. doi:10.1099/vir.0.008193-0Vives, M. C., Rubio, L., Sambade, A., Mirkov, T. E., Moreno, P., & Guerri, J. (2005). Evidence of multiple recombination events between two RNA sequence variants within a Citrus tristeza virus isolate. Virology, 331(2), 232-237. doi:10.1016/j.virol.2004.10.037D’Urso, F., Sambade, A., Moya, A., Guerri, J., & Moreno, P. (2003). Variation of haplotype distributions of two genomic regions of Citrus tristeza virus populations from eastern Spain. Molecular Ecology, 12(2), 517-526. doi:10.1046/j.1365-294x.2000.01747.xSambade, A., Rubio, L., Garnsey, S. M., Costa, N., Muller, G. W., Peyrou, M., … Moreno, P. (2002). Comparison of viral RNA populations of pathogenically distinct isolates of Citrus tristeza virus : application to monitoring cross-protection. Plant Pathology, 51(3), 257-265. doi:10.1046/j.1365-3059.2002.00720.xReed, J. C., Kasschau, K. D., Prokhnevsky, A. I., Gopinath, K., Pogue, G. P., Carrington, J. C., & Dolja, V. V. (2003). Suppressor of RNA silencing encoded by Beet yellows virus. Virology, 306(2), 203-209. doi:10.1016/s0042-6822(02)00051-xFolimonova, S. Y., Robertson, C. J., Shilts, T., Folimonov, A. S., Hilf, M. E., Garnsey, S. M., & Dawson, W. O. (2009). Infection with Strains of Citrus Tristeza Virus Does Not Exclude Superinfection by Other Strains of the Virus. Journal of Virology, 84(3), 1314-1325. doi:10.1128/jvi.02075-09Kong, P., Rubio, L., Polek, M., & Falk, B. W. (2000). Virus Genes, 21(3), 139-145. doi:10.1023/a:1008198311398Powell, C. A., Pelosi, R. R., Rundell, P. A., & Cohen, M. (2003). Breakdown of Cross-Protection of Grapefruit from Decline-Inducing Isolates of Citrus tristeza virus Following Introduction of the Brown Citrus Aphid. Plant Disease, 87(9), 1116-1118. doi:10.1094/pdis.2003.87.9.1116Roistacher C, Dodds J. (1993) Failure of 100 mild Citrus tristeza virus isolates from california to cross protect against a challenge by severe sweet orange stem pitting isolates. Proc 12th Conf IOCV: 100–107.Ayllón, M. A., Rubio, L., Sentandreu, V., Moya, A., Guerri, J., & Moreno, P. (2006). Variations in Two Gene Sequences of Citrus Tristeza Virus after Host Passage. Virus Genes, 32(2), 119-128. doi:10.1007/s11262-005-6866-4Ayllón, M. A., Rubio, L., Moya, A., Guerri, J., & Moreno, P. (1999). The Haplotype Distribution of Two Genes of Citrus Tristeza Virus Is Altered after Host Change or Aphid Transmission. Virology, 255(1), 32-39. doi:10.1006/viro.1998.9566Sentandreu, V., Castro, J. A., Ayllón, M. A., Rubio, L., Guerri, J., González-Candelas, F., … Moya, A. (2005). Evolutionary analysis of genetic variation observed in citrus tristeza virus (CTV) after host passage. Archives of Virology, 151(5), 875-894. doi:10.1007/s00705-005-0683-xMatos, L. A., Hilf, M. E., Cayetano, X. A., Feliz, A. O., Harper, S. J., & Folimonova, S. Y. (2013). Dramatic Change in Citrus tristeza virus Populations in the Dominican Republic. Plant Disease, 97(3), 339-345. doi:10.1094/pdis-05-12-0421-reDavino, S., Davino, M., Sambade, A., Guardo, M., & Caruso, A. (2003). The First Citrus tristeza virus Outbreak Found in a Relevant Citrus Producing Area of Sicily, Italy. Plant Disease, 87(3), 314-314. doi:10.1094/pdis.2003.87.3.314aRUBIO, L., AYLLONl, M. A., GUERRI, J., PAPPU, H., NIBLETT, C., & MORENO, P. (1996). Differentiation of citrus tristeza closterovirus (CTV) isolates by single-strand conformation polymorphism analysis of the coat protein gene. Annals of Applied Biology, 129(3), 479-489. doi:10.1111/j.1744-7348.1996.tb05770.xLarkin, M. A., Blackshields, G., Brown, N. P., Chenna, R., McGettigan, P. A., McWilliam, H., … Higgins, D. G. (2007). Clustal W and Clustal X version 2.0. Bioinformatics, 23(21), 2947-2948. doi:10.1093/bioinformatics/btm404Tamura, 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. Molecular Biology and Evolution, 28(10), 2731-2739. doi:10.1093/molbev/msr121Kosakovsky Pond, S. L., Posada, D., Gravenor, M. B., Woelk, C. H., & Frost, S. D. W. (2006). GARD: a genetic algorithm for recombination detection. Bioinformatics, 22(24), 3096-3098. doi:10.1093/bioinformatics/btl474Martin, D. P., Lemey, P., Lott, M., Moulton, V., Posada, D., & Lefeuvre, P. (2010). RDP3: a flexible and fast computer program for analyzing recombination. Bioinformatics, 26(19), 2462-2463. doi:10.1093/bioinformatics/btq467Librado, P., & Rozas, J. (2009). DnaSP v5: a software for comprehensive analysis of DNA polymorphism data. Bioinformatics, 25(11), 1451-1452. doi:10.1093/bioinformatics/btp187Kimura M. (1985) The neutral theory of molecular evolution. Cambridge Univ Pr.Weir, B. S., & Cockerham, C. C. (1984). Estimating F-Statistics for the Analysis of Population Structure. Evolution, 38(6), 1358. doi:10.2307/2408641Pond, S. L. K., & Frost, S. D. W. (2005). Datamonkey: rapid detection of selective pressure on individual sites of codon alignments. Bioinformatics, 21(10), 2531-2533. doi:10.1093/bioinformatics/bti320Drummond, A. J., & Rambaut, A. (2007). BEAST: Bayesian evolutionary analysis by sampling trees. BMC Evolutionary Biology, 7(1), 214. doi:10.1186/1471-2148-7-214Bielejec, F., Rambaut, A., Suchard, M. A., & Lemey, P. (2011). SPREAD: spatial phylogenetic reconstruction of evolutionary dynamics. Bioinformatics, 27(20), 2910-2912. doi:10.1093/bioinformatics/btr481Stamatakis, A. (2006). RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models. Bioinformatics, 22(21), 2688-2690. doi:10.1093/bioinformatics/btl446Ott M, Zola J, Stamatakis A, Aluru S. (2007) Large-scale maximum likelihood-based phylogenetic analysis on the IBM BlueGene/L. Proceedings of the 19th ACM/IEEE conference on Supercomputing. Article No. 4.Shimodaira, H., & Hasegawa, M. (1999). Multiple Comparisons of Log-Likelihoods with Applications to Phylogenetic Inference. Molecular Biology and Evolution, 16(8), 1114-1116. doi:10.1093/oxfordjournals.molbev.a026201Soria-Carrasco, V., Talavera, G., Igea, J., & Castresana, J. (2007). The K tree score: quantification of differences in the relative branch length and topology of phylogenetic trees. Bioinformatics, 23(21), 2954-2956. doi:10.1093/bioinformatics/btm466Puigbo, P., Garcia-Vallve, S., & McInerney, J. O. (2007). TOPD/FMTS: a new software to compare phylogenetic trees. Bioinformatics, 23(12), 1556-1558. doi:10.1093/bioinformatics/btm13