Identification and Genomic Characterization of a New Virus (
            <i>Tymoviridae</i>
            Family) Associated with Citrus Sudden Death Disease

Maccheroni, Walter; Alegria, Marcos C.; Greggio, Christian C.; Piazza, João Paulo; Kamla, Rachel F.; Zacharias, Paula R. A.; Bar‐Joseph, M.; Kitajima, Elliot Watanabe; Assumpção, Laura C.; Camarotte, Giovana; Cardozo, J. Zelada; Casagrande, Elaine C.; Ferrari, Fernanda; Franco, Sulamita F.; Giachetto, P. F.; Girasol, Alessandra; Jordão, Hamilton; Silva, Vitor H. A.; Souza, Larissa Gonçalves; Aguilar-Vildoso, Carlos Ivan; Zanca, Almir S.; Arruda, Paulo; Kitajima, João Paulo; Reinach, Fernando C.; Ferro, J. A.; Silva, Ana C. R. da

doi:10.1128/jvi.79.5.3028-3037.2005

Cited by 80 publications

(87 citation statements)

References 32 publications

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“…Various researches have suggested the pathogen based theory. For example, Maccheroni et al (2005) suggest that the pathogen could be a new strain of citrus tristeza or a new virus belonging to the family Tymoviridae (gender Marafivirus) and transmitted by insects.…”

Section: Resultsmentioning

confidence: 99%

“…Two viruses similar to plants infected with CSD, the virus CTV (Citrus tristeza virus, family Closteroviridae) and a new type virus belonging to the family Tymoviridae, as well as their association with the disease has been studied (Coletta Maccheroni et al, 2005;Terencio et al, 2005). Up to now, the diagnostics of CSD is based on signs found in sick plants.…”

Section: Introductionmentioning

confidence: 99%

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Temporal clustering detection of disease in agricultural crops

Mateus¹,

Scalon²

2016

Rev. Ciênc. Agr.

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A B S T R A C TInformation about temporal dynamics of plant diseases is of paramount importance for appropriate technologies development for diseases management in production systems. The major interest when studying a temporal point pattern is to detect temporal clustering of events. There are some methods available for events cluster detection over time. The majority of these methods has been developed to detect temporal clustering inhuman diseases. The temporal patterns analysisfor plant diseases are not very well described in the literature. In this study, we aimed to propose new methods, based on both empirical distribution function and Monte Carlo simulation, for testing the null hypothesis that a temporal point pattern is purely random. These methods are compared to the time K-function for detecting temporal clustering for incidence of citrus sudden death disease in orange trees. All methodologies were found to show good performance for analyzing temporal point patterns and they led to the detection of temporal clustering of the citrus sudden death disease in an orange trees planting.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Temporal clustering detection of disease in agricultural crops

Mateus¹,

Scalon²

2016

Rev. Ciênc. Agr.

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“…Search for infectious agents in CSD-symptomatic trees including fungi, exogenous and endogenous bacteria and phytoplasmas, and viroids produced negative results (Bassanezi et al, 2003;Román et al, 2004). Only two virus, CTV and a new virus Tymoviridae, tentatively called Citrus sudden death associated virus (CSDaV), have been found in CSDaffected trees, and their association with the disease has been studied (Coletta Filho et al, 2005;Maccheroni et al, 2005). However, the extreme variability and complexity of CTV and the very low concentration of CSDaV make the CSD etiology very difficulty to be proven.…”

Section: Introductionmentioning

confidence: 99%

Autologistic model with an application to the citrus "sudden death" disease

Krainski

Ribeiro

Bassanezi

et al. 2008

Sci. agric. (Piracicaba, Braz.)

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The citrus sudden death (CSD) disease affects dramatically citrus trees causing a progressive plant decline and death. The disease has been identified in the late 90's in the main citrus production area of Brazil and since then there are efforts to understand the etiology as well as the mechanisms its spreading. One relevant aspect of such studies is to investigate spatial patterns of the occurrence within a field. Methods for determining whether the spatial pattern is aggregated or not has been frequently used. However it is possible to further explore and describe the data by means of adopting an explicit model to discriminate and quantify effects by attaching parameters to covariates which represent aspects of interest to be investigated. One alternative involves autologistic models, which extend a usual logistic model in order to accommodate spatial effects. In order to implement such model it is necessary to take into account the reuse of data to built spatial covariates, which requires extensions in methodology and algorithms to assess the variance of the estimates. This work presents an application of the autologistic model to data collected at 11 time points from citrus fields affected by CSD. It is shown how the autologistic model is suitable to investigate diseases of this type, as well as a description of the model and the computational aspects necessary for model fitting. Key words: spatial statistics, plant disease, binary response variable, pseudolikelihood, bootstrap MODELO AUTOLOGÍSTICO COM APLICAÇÃO PARAA DOENÇA "MORTE SÚBITA" DOS CITRUS RESUMO: A morte súbita dos citros (MSC) é uma doença com efeitos dramáticos em árvores de citros causando declínio progressivo e morte. Ela foi identificada no final da década de 90 em uma das principais áreas de produção no Brasil e desde então esforços são empregados para entender a sua etiologia e os seus mecanismos de dispersão. Um aspecto relevante para estudos é a investigação do padrão espacial da incidência dentro de um campo. Métodos para determinar se o padrão espacial é agregado ou não têm sido freqüentemente utilizados. Entretanto é possível explorar e descrever os dados adotando um modelo explícito, com o qual é possível discriminar e quantificar os efeitos com parâmetros para covariáveis que representam aspectos de interesse investigados. Uma das alternativas é adoção de modelos autologísticos, que estendem o modelo de regressão logística para acomodar efeitos espaciais. Para implementar esse modelo é necessário que se reutilize os dados para extrair covariáveis espaciais, o que requer extensões na metodologia e algoritmos para avaliar a variância das estimativas. Este trabalho apresenta uma aplicação do modelo autologístico a dados coletados em 11 pontos no tempo em um campo de citros afetado pela MSC. É mostrado como o modelo autologístico é apropriado para investigar doenças desse tipo, bem como é feita uma descrição do modelo e dos aspectos computacionais necessários para a estimação dos parâmetros. Palavras-chave: estatística espacia...

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“…However, CTV and a new marafivirus (Tymoviridae) provisionally called Citrus sudden death associated virus (CSDaV) have been found in diseased trees. The association of CSD affected trees with CTV variants (Coletta-Filho et al, 2005;Maccheroni et al, 2005) and the new marafivirus (Jesus Junior et al, 2005;Maccheroni et al, 2005) has been studied, but the role these viruses play in CSD is still unclear and Koch's postulates have not yet been fulfilled.…”

Section: The Introduction Of T Citricida In the Caribbeanmentioning

confidence: 99%

Comparative epidemiology of citrus tristeza in Cuba and citrus sudden death in Brazil

Batista¹,

Bassanezi²,

Laranjeira³

2008

Trop. plant pathol.

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Citrus Sudden Death (CSD) is a disease of unknown etiology, reported only in Brazil. Due to similarities between the epidemiology of CSD in Brazil and Citrus Tristeza (CT) in other countries, this work aimed to compare CSD and CT in Cuba. Besides testing the hypothesis of shared epidemiological patterns, the data generated can be used to carry out control strategies if CSD breaks out in Cuba. Seven epidemic data sets were statistically compared for each disease by analyzing their progress in time and the dependence among symptomatic or infected plants at two levels of spatial scale. CSD and CT epidemics could not be differentiated based on mean progress rate, area under disease progress curves, proportion of aggregated sequences (Ordinary runs test), index of Dispersion (D) or both parameters, log (A) and b, of the binary power law model. The progress rate of both diseases varied from low (0.0003/month) to very high (0.045/month). The proportion of aggregated sequences was low (<0.16) and D, log(A) and b values indicated aggregation in groups of 4 to 16 plants for both diseases. These results suggest that measures currently used for CT eradication and management in Cuba may be applied in case of an eventual introduction of CSD in that country. Keywords: Citrus tristeza virus, CTV, Closterovirus, Citrus sudden death associated virus, CSDaV, temporal pattern, spatial pattern. RESUMO Epidemiologia comparativa da tristeza dos citros em Cuba e morte súbita dos citros no BrasilA morte súbita dos citros (MSC) é uma doença de causa desconhecida relatada apenas no Brasil. Em função de semelhanças com a tristeza em outros países, objetivou-se comparar a MSC com a tristeza em Cuba. Além de testar a hipótese de similaridade dos padrões epidemiológicos, os dados gerados podem ser utilizados no delineamento de estratégias de controle no caso de uma eventual introdução da MSC em Cuba. Sete epidemias de cada doença foram comparadas estatisticamente por meio de análise do progresso no tempo e da dependência entre plantas sintomáticas ou infectadas em dois níveis de escala espacial. As epidemias de MSC e tristeza não puderam ser distinguidas com base na taxa média de progresso, na área abaixo da curva de progresso da doença, na proporção de seqüências agregadas (Ordinary Runs test), no índice de dispersão (D) ou nos parâmetros log(A) e b após ajuste da lei de Taylor binária. A taxa de progresso das epidemias de ambas as doenças foi variável, de baixa (0,0003/mês) a muito alta (0,045/mês). A proporção de seqüências agregadas foi baixa (<0,16) e os valores de D, log(A) e b indicaram agregação em grupos de 4 a 16 plantas tanto para a MSC quanto para a tristeza. Esses resultados indicam que as atuais medidas usadas no programa de erradicação e manejo da tristeza em Cuba poderiam ser usadas na eventualidade da introdução da MSC nesse país. Palavras-chave: Citrus tristeza virus, CTV, Closterovirus, Citrus sudden death associated virus, CSDaV, padrão temporal, padrão espacial.

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Identification and Genomic Characterization of a New Virus ( Tymoviridae Family) Associated with Citrus Sudden Death Disease

Cited by 80 publications

References 32 publications

Temporal clustering detection of disease in agricultural crops

Temporal clustering detection of disease in agricultural crops

Autologistic model with an application to the citrus "sudden death" disease

Comparative epidemiology of citrus tristeza in Cuba and citrus sudden death in Brazil

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