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Nayaka SN, Mondal F, Ranjan JK, Roy A, Mandal B. Bottle gourd IC-0262269, a super-susceptible genotype to tomato leaf curl Palampur virus. 3 Biotech 2024; 14:8. [PMID: 38074288 PMCID: PMC10709538 DOI: 10.1007/s13205-023-03838-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2023] [Accepted: 10/29/2023] [Indexed: 01/19/2024] Open
Abstract
While conducting field trial of 82 genotypes of bottle gourd at Delhi during 2020-2021, a particular genotype, IC-0262269 was found to be affected by chlorotic curly stunt disease (CCSD). The affected plants were severely stunted and bearing very small chlorotic and crinkle leaves. The disease incidence in the said genotype was as high as 80% among different replicated trial blocks. The application of PCR using a generic primers specific to begomoviruses, as well as species-specific PCR diagnostics to six tomato-infecting begomoviruses: tomato leaf curl New Delhi virus (ToLCNDV), tomato leaf curl Palampur virus (ToLCPalV), tomato leaf curl Joydebpur virus (ToLCJoV), tomato leaf curl Gujrat virus (ToLCGuV), tomato leaf curl Bangalore virus (ToLCBV), and chilli leaf curl virus (ChiLCV) showed that, only ToLCPalV could be detected in the genotype IC-0262269. Following, rolling circle amplification, cloning and sequencing of full-length DNA-A and DNA-B genome of an isolate BoG1-ND from the genotype IC-0262269 revealed association of ToLCPalV with the disease. The successful agro-infection of the cloned genome of BoG1-ND (DNA-A and DNA-B) in the plants of Nicotiana benthamiana and bottle gourd demonstrated that ToLCPalV is the causal begomovirus of CCSD. The study provides the first evidence of the natural occurrence of ToLCPalV in bottle gourd crop and also showed that the bottle gourd genotype IC-0262269 is super-susceptible to ToLCPalV. Supplementary Information The online version contains supplementary material available at 10.1007/s13205-023-03838-y.
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Affiliation(s)
- S. Naveen Nayaka
- Advanced Centre for Plant Virology, Division of Plant Pathology, ICAR-Indian Agricultural Research Institute, New Delhi, India
| | - Firoz Mondal
- Advanced Centre for Plant Virology, Division of Plant Pathology, ICAR-Indian Agricultural Research Institute, New Delhi, India
| | - Jeetendra Kumar Ranjan
- Division of Vegetable Science, ICAR-Indian Agricultural Research Institute, New Delhi, India
| | - Anirban Roy
- Advanced Centre for Plant Virology, Division of Plant Pathology, ICAR-Indian Agricultural Research Institute, New Delhi, India
| | - Bikash Mandal
- Advanced Centre for Plant Virology, Division of Plant Pathology, ICAR-Indian Agricultural Research Institute, New Delhi, India
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Molecular characterization and phylogenetic analysis of tomato leaf curl Palampur virus, a bipartite begomovirus, associated with Cucumis sativus L. in Pakistan. 3 Biotech 2019; 9:204. [PMID: 31139535 DOI: 10.1007/s13205-019-1727-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2018] [Accepted: 04/24/2019] [Indexed: 12/28/2022] Open
Abstract
Leaf samples of Cucumis Sativus L. (C. sativus) (Family; Cucurbitaceae) showing vein thickening, mild leaf curling and leaf enations were collected from the farmer's field. Amplification of the full-length viral molecules was performed through rolling circle amplification (RCA). Cloning of the full-length viral molecules was done through standard cloning procedure followed by sequencing. Sequence similarity analysis and phylogenetic studies showed that the virus associated with leaf curling and enations in C. sativus was a bipartite begomovirus, where DNA-A and DNA-B showed highest nucleotide sequence homology of 98% and 97% to tomato leaf curl Palampur virus (ToLCPMV) from India. Attempts to isolate betasatellites and alphasatellites through PCR using RCA product as template, did not result in any amplification. A maximum likelihood phylogenetic tree grouped DNA-A and B components with other isolates from India. SDT was used to find the pairwise identity scores of different sequences of ToLCPMV present in the database. Phylogenetic analysis showed that sequences of ToLCPMV DNA-A and B components in this study share high degree of homology with existing viruses and are isolates of ToLCPMV-India. Infectious molecules of both components (Accessions, MG252783 and MG252784, respectively) were constructed for infectivity analysis to fulfill the Koch's postulate. Infectivity analysis revealed that ToLCPMV DNA-A is infectious to model host plant Nicotiana benthamiana and viral accumulation was confirmed through Southern blot analysis. Accumulation of DNA-B was confirmed through PCR. Infectivity analysis was also conducted using the original host, C. sativus, but plants were unable to survive the agroinoculation. To our knowledge this is the first report of ToLCPMV associated with C. sativus L. in Pakistan.
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Manivannan K, Renukadevi P, Malathi VG, Karthikeyan G, Balakrishnan N. A new seed-transmissible begomovirus in bitter gourd (Momordica charantia L.). Microb Pathog 2018; 128:82-89. [PMID: 30583019 DOI: 10.1016/j.micpath.2018.12.036] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2018] [Revised: 12/18/2018] [Accepted: 12/18/2018] [Indexed: 11/17/2022]
Abstract
A begomovirus isolate collected from bitter gourd plants showing yellowing, puckering and stunting symptoms from Coimbatore district, Tamil Nadu, India was characterized. The full-length genome of the virus isolate was amplified by rolling circle amplification using phi29 DNA polymerase. The virus isolate exhibited 98% identity in the nucleotide sequence of DNA-A component with the Coccinia mosaic Virudhunagar virus (GenBank accession no. KY860899). The DNA-B component was very distinct and shared only 60% identity with the begomovirus, Coccinia mosaic Tamil Nadu virus (GenBank accession no. KM244719). The virus renamed as new species Bitter gourd yellow mosaic virus (BgYMV) was detected in seeds from infected plants and in the grow-out test seedlings by ELISA and virus-specific PCR. The seed infectivity was 79.16% and transmission rate to seedling was 32.05%. The virus titre as indicated by A405 absorption value was high (0.854-0.280) in different seed parts. Results clearly indicated seed transmission of the begomovirus, BgYMV.
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Affiliation(s)
- Kothandan Manivannan
- Department of Plant Pathology, Centre for Plant Protection Studies, Tamil Nadu Agricultural University, Coimbatore 641003, Tamil Nadu, India.
| | - Perumal Renukadevi
- Department of Plant Pathology, Centre for Plant Protection Studies, Tamil Nadu Agricultural University, Coimbatore 641003, Tamil Nadu, India.
| | - Varagur Ganesan Malathi
- Department of Plant Pathology, Centre for Plant Protection Studies, Tamil Nadu Agricultural University, Coimbatore 641003, Tamil Nadu, India.
| | - Gandhi Karthikeyan
- Department of Plant Pathology, Centre for Plant Protection Studies, Tamil Nadu Agricultural University, Coimbatore 641003, Tamil Nadu, India.
| | - Natarajan Balakrishnan
- Centre for Plant Molecular Biology and Biotechnology, Tamil Nadu Agricultural University, Coimbatore 641003, Tamil Nadu, India.
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Sangeetha B, Malathi VG, Alice D, Suganthy M, Renukadevi P. A distinct seed-transmissible strain of tomato leaf curl New Delhi virus infecting Chayote in India. Virus Res 2018; 258:81-91. [PMID: 30336187 DOI: 10.1016/j.virusres.2018.10.009] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2018] [Revised: 10/11/2018] [Accepted: 10/13/2018] [Indexed: 11/16/2022]
Abstract
Chayote (Sechium edule (Jacq. Sw.) is a single seeded cucurbitaceous vegetable crop mainly grown for its fruit. During 2015-2016, mosaic and leaf distortion type of symptoms were observed in chayote plants in hilly regions of Tamil Nadu. The disease incidence was 50. 3-100% and yield loss was about 69.9% in Dindigul district. The infected chayote plants showed yellow spots, yellow mosaic, leaf curling, puckering, and enations. The fruits of infected plants were malformed and were not marketable. The begomovirus causing the disease was identified as a variant of tomato leaf curl New Delhi virus. The chayote isolates of ToLCNDV share only 91 to 92% identity with other ToLCNDV isolates, deserving to be designated as distinct strain. The phylogenetic analysis on the basis of DNA A component nucleotides clearly indicated common origin of chayote, ridge gourd, ash gourd isolates of India along with Spanish isolates of ToLCNDV. This was contrasting to diverse origin of ToLCNDV isolates from other countries. The virus was sap transmissible to selected cucurbitaceous hosts. The whitefly population (Asia-I) reared in the glass house transmitted the virus to bottle gourd with 4 h of acquisition access period (AAP) and 24 h of inoculation feeding period (IFP). Heavy infestation of greenhouse whiteflies, Trialeurodes vaporariorum on infected chayote plant in Kodaikanal paved way to investigations on its role in vector transmission of ToLCNDV. The field population of T. vaporariorum was found to be viruliferous in PCR using virus specific primers. The greenhouse whitefly efficiently transmitted the virus with 4 h of AAP and 24 h IFP. Seed-borne nature of ToLCNDV was confirmed in PCR by using Roja's and ToLCNDV specific primers in different parts of the fruit viz., pericarp, mesocarp, seed coat, endosperm and embryo. This is the first report of seed transmissible nature of ToLCNDV, its implication in transboundary movement of the virus across several countries is discussed.
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Affiliation(s)
- B Sangeetha
- Department of Plant Pathology, Centre for Plant Protection studies, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, 641003, India.
| | - V G Malathi
- Department of Plant Pathology, Centre for Plant Protection studies, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, 641003, India.
| | - D Alice
- Department of Plant Pathology, Centre for Plant Protection studies, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, 641003, India.
| | - M Suganthy
- Department of Agricultural Entomology, Centre for Plant Protection studies, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, 641003, India.
| | - P Renukadevi
- Department of Plant Pathology, Centre for Plant Protection studies, Tamil Nadu Agricultural University, Coimbatore, Tamil Nadu, 641003, India.
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Jeske H. Barcoding of Plant Viruses with Circular Single-Stranded DNA Based on Rolling Circle Amplification. Viruses 2018; 10:E469. [PMID: 30200312 PMCID: PMC6164888 DOI: 10.3390/v10090469] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2018] [Revised: 08/28/2018] [Accepted: 08/30/2018] [Indexed: 01/10/2023] Open
Abstract
The experience with a diagnostic technology based on rolling circle amplification (RCA), restriction fragment length polymorphism (RFLP) analyses, and direct or deep sequencing (Circomics) over the past 15 years is surveyed for the plant infecting geminiviruses, nanoviruses and associated satellite DNAs, which have had increasing impact on agricultural and horticultural losses due to global transportation and recombination-aided diversification. Current state methods for quarantine measures are described to identify individual DNA components with great accuracy and to recognize the crucial role of the molecular viral population structure as an important factor for sustainable plant protection.
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Affiliation(s)
- Holger Jeske
- Department of Molecular Biology and Plant Virology, Institute of Biomaterials and Biomolecular Systems, University of Stuttgart, Pfaffenwaldring 57, 70550 Stuttgart, Germany.
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Iqbal Z, Shafiq M, Ali I, Mansoor S, Briddon RW. Maintenance of Cotton Leaf Curl Multan Betasatellite by Tomato Leaf Curl New Delhi Virus-Analysis by Mutation. FRONTIERS IN PLANT SCIENCE 2017; 8:2208. [PMID: 29312431 PMCID: PMC5744040 DOI: 10.3389/fpls.2017.02208] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/03/2017] [Accepted: 12/15/2017] [Indexed: 06/07/2023]
Abstract
Viruses of the genus Begomovirus (family Geminiviridae) are economically important phytopathogens that are transmitted plant-to-plant by the whitefly Bemisia tabaci. Most Old World (OW) begomoviruses are monopartite and many of these interact with symptoms and host range determining betasatellites. Tomato leaf curl New Delhi virus (ToLCNDV) is one of only a few OW begomoviruses with a bipartite genome (components known as DNA A and DNA B). Four genes [AV2, coat protein (CP), transcriptional-activator protein (TrAP), and AC4] of ToLCNDV were mutated and the effects of the mutations on infectivity, symptoms and the ability to maintain Cotton leaf curl Multan betasatellite (CLCuMuB) were investigated. Infectivity and virus/betasatellite DNA titer were assessed by Southern blot hybridization, PCR, and quantitative PCR. The results showed TrAP of ToLCNDV to be essential for maintenance of CLCuMuB and AV2 to be important only in the presence of the DNA B. AC4 was found to be important for the maintenance of CLCuMuB in the presence of, but indispensable in the absence of, the DNA B. Rather than being required for maintenance, the CP was shown to possibly interfere with maintenance of the betasatellite. The findings show that the interaction between a bipartite begomovirus and a betasatellite is more complex than just trans-replication. Clearly, multiple levels of interactions are present and such associations can cause additional significant losses to crops although the interaction may not be stable.
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Affiliation(s)
- Zafar Iqbal
- Agricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering, Faisalabad, Pakistan
| | - Muhammad Shafiq
- Agricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering, Faisalabad, Pakistan
- Pakistan Institute of Engineering and Applied Sciences, Nilore, Pakistan
| | - Irfan Ali
- Agricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering, Faisalabad, Pakistan
| | - Shahid Mansoor
- Agricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering, Faisalabad, Pakistan
| | - Rob W. Briddon
- Agricultural Biotechnology Division, National Institute for Biotechnology and Genetic Engineering, Faisalabad, Pakistan
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Silva JCF, Carvalho TFM, Fontes EPB, Cerqueira FR. Fangorn Forest (F2): a machine learning approach to classify genes and genera in the family Geminiviridae. BMC Bioinformatics 2017; 18:431. [PMID: 28964254 PMCID: PMC5622471 DOI: 10.1186/s12859-017-1839-x] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2017] [Accepted: 09/20/2017] [Indexed: 11/14/2022] Open
Abstract
Background Geminiviruses infect a broad range of cultivated and non-cultivated plants, causing significant economic losses worldwide. The studies of the diversity of species, taxonomy, mechanisms of evolution, geographic distribution, and mechanisms of interaction of these pathogens with the host have greatly increased in recent years. Furthermore, the use of rolling circle amplification (RCA) and advanced metagenomics approaches have enabled the elucidation of viromes and the identification of many viral agents in a large number of plant species. As a result, determining the nomenclature and taxonomically classifying geminiviruses turned into complex tasks. In addition, the gene responsible for viral replication (particularly, the viruses belonging to the genus Mastrevirus) may be spliced due to the use of the transcriptional/splicing machinery in the host cells. However, the current tools have limitations concerning the identification of introns. Results This study proposes a new method, designated Fangorn Forest (F2), based on machine learning approaches to classify genera using an ab initio approach, i.e., using only the genomic sequence, as well as to predict and classify genes in the family Geminiviridae. In this investigation, nine genera of the family Geminiviridae and their related satellite DNAs were selected. We obtained two training sets, one for genus classification, containing attributes extracted from the complete genome of geminiviruses, while the other was made up to classify geminivirus genes, containing attributes extracted from ORFs taken from the complete genomes cited above. Three ML algorithms were applied on those datasets to build the predictive models: support vector machines, using the sequential minimal optimization training approach, random forest (RF), and multilayer perceptron. RF demonstrated a very high predictive power, achieving 0.966, 0.964, and 0.995 of precision, recall, and area under the curve (AUC), respectively, for genus classification. For gene classification, RF could reach 0.983, 0.983, and 0.998 of precision, recall, and AUC, respectively. Conclusions Therefore, Fangorn Forest is proven to be an efficient method for classifying genera of the family Geminiviridae with high precision and effective gene prediction and classification. The method is freely accessible at www.geminivirus.org:8080/geminivirusdw/discoveryGeminivirus.jsp. Electronic supplementary material The online version of this article (10.1186/s12859-017-1839-x) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- José Cleydson F Silva
- Department of Informatics, Universidade Federal de Viçosa, Viçosa, Minas Gerais, 36570-900, Brazil.,Department of Biochemistry and Molecular Biology, Universidade Federal de Viçosa, Campus Universitário, Viçosa, Minas Gerais, 36570-900, Brazil
| | - Thales F M Carvalho
- Department of Informatics, Universidade Federal de Viçosa, Viçosa, Minas Gerais, 36570-900, Brazil
| | - Elizabeth P B Fontes
- National Institute of Science and Technology in Plant-Pest Interactions/BIOAGRO, Campus Universitário, Viçosa, Minas Gerais, 36570-900, Brazil. .,Department of Biochemistry and Molecular Biology, Universidade Federal de Viçosa, Campus Universitário, Viçosa, Minas Gerais, 36570-900, Brazil.
| | - Fabio R Cerqueira
- Department of Informatics, Universidade Federal de Viçosa, Viçosa, Minas Gerais, 36570-900, Brazil. .,Department of Production Engineering, Universidade Federal Fluminense, Rua Domingos Silvério, s/n, Bairro Quitandinha, Petrópolis, Rio de Janeiro, 25650-050, Brazil.
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