scholarly journals Whitefly Control Strategies against Tomato Leaf Curl New Delhi Virus in Greenhouse Zucchini

2019 ◽  
Vol 16 (15) ◽  
pp. 2673 ◽  
Author(s):  
Estefanía Rodríguez ◽  
Mª Mar Téllez ◽  
Dirk Janssen
Keyword(s):  
Pest Management ◽  
Control Strategies ◽  
Integrated Management ◽  
Management Strategies ◽  
Tomato Leaf ◽  
New Delhi ◽  
Pesticide Reduction ◽  
Virus Suppression ◽  
Tomato Leaf Curl ◽  
Leaf Curl

(1) Background: Tomato leaf curl New Delhi virus (ToLCNDV), transmitted by tobacco whitefly (Bemisia tabaci Gennadius) (Hemiptera: Aleyrodidae), is of major concern in the cultivation of zucchini. The threat of this virus motivates reliance on chemical vector control but European consumers’ demands for vegetables grown free of pesticides provides an important incentive for alternative pest management; (2) Methods: Different whitefly management strategies and ToLCNDV incidences were surveyed in commercial zucchini greenhouses in south-east Spain. In an experimental greenhouse, three different whitefly control strategies, biological, chemical, and integrated (IPM), were evaluated in a replicated trial to determine the most effective strategy for virus suppression (3) Results: Whitefly was present in all commercial zucchini crops surveyed, whereas fewer crops had Amblyseius swirskii or other natural enemies. During three consecutive years, pest management was increasingly based on chemical treatments. Yet, ToLCNDV was widespread in zucchini greenhouses. Experimental results showed that the order of best strategy for virus suppressing was integrated management (73%) > biological control (58%) > chemical control (44%); and (4) Conclusions: IPM was the best strategy for virus suppression. The results can assist in the design of appropriate control strategies for chemical pesticide reduction and decision-making in pest management.

Potato apical leaf curl disease: current status and perspectives on a disease caused by tomato leaf curl New Delhi virus

2021 ◽  
Author(s):  
Ravinder Kumar ◽  
Rahul Kumar Tiwari ◽  
Arjunan Jeevalatha ◽  
Sundaresha Siddappa ◽  
Mohd. Abas Shah ◽  
...  
Keyword(s):  
Tomato Leaf ◽  
Current Status ◽  
New Delhi ◽  
Apical Leaf ◽  
Tomato Leaf Curl ◽  
Leaf Curl Disease ◽  
Leaf Curl

scholarly journals Metagenomic analyses and genetic diversity of Tomato leaf curl Arusha virus affecting tomato plants in Kenya

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Edith Khamonya Avedi ◽  
Adedapo Olutola Adediji ◽  
Dora Chao Kilalo ◽  
Florence Mmogi Olubayo ◽  
Isaac Macharia ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Selection Pressure ◽  
Management Strategies ◽  
Purifying Selection ◽  
Tomato Leaf ◽  
Amino Acid Sequences ◽  
Virus Population ◽  
Tomato Production ◽  
Tomato Leaf Curl ◽  
Leaf Curl

Abstract Background Tomato production is threatened worldwide by the occurrence of begomoviruses which are associated with tomato leaf curl diseases. There is little information on the molecular properties of tomato begomoviruses in Kenya, hence we investigated the population and genetic diversity of begomoviruses associated with tomato leaf curl in Kenya. Methods Tomato leaf samples with virus-like symptoms were obtained from farmers’ field across the country in 2018 and Illumina sequencing undertaken to determine the genetic diversity of associated begomoviruses. Additionally, the occurrence of selection pressure and recombinant isolates within the population were also evaluated. Results Twelve complete begomovirus genomes were obtained from our samples with an average coverage of 99.9%. The sequences showed 95.7–99.7% identity among each other and 95.9–98.9% similarities with a Tomato leaf curl virus Arusha virus (ToLCArV) isolate from Tanzania. Analysis of amino acid sequences showed the highest identities in the regions coding for the coat protein gene (98.5–100%) within the isolates, and 97.1–100% identity with the C4 gene of ToLCArV. Phylogenetic algorithms clustered all Kenyan isolates in the same clades with ToLCArV, thus confirming the isolates to be a variant of the virus. There was no evidence of recombination within our isolates. Estimation of selection pressure within the virus population revealed the occurrence of negative or purifying selection in five out of the six coding regions of the sequences. Conclusions The begomovirus associated with tomato leaf curl diseases of tomato in Kenya is a variant of ToLCArV, possibly originating from Tanzania. There is low genetic diversity within the virus population and this information is useful in the development of appropriate management strategies for the disease in the country.

Tomato leaf curl New Delhi virus. [Distribution map].

2016 ◽  
Author(s):  
Keyword(s):  
Tamil Nadu ◽  
Uttar Pradesh ◽  
Tomato Leaf ◽  
New Delhi ◽  
Distribution Map ◽  
Tomato Leaf Curl ◽  
Virus Distribution ◽  
New Distribution ◽  
Distribution In Europe ◽  
Leaf Curl

Abstract A new distribution map is provided for Tomato leaf curl New Delhi virus. Geminiviridae: Begomovirus. Hosts: tomato (Solanum lycopersicum) and other Solanaceae such as aubergine (S. melongena), potato (S. tuberosum), Capsicum spp. and Cucurbitaceae. Information is given on the geographical distribution in Europe (Italy, Sicily, Spain, Mainland Spain), Asia (Bangladesh, India, Andhra Pradesh, Delhi, Gujarat, Haryana, Karnataka, Maharashtra, Punjab, Tamil Nadu, Uttar Pradesh, West Bengal, Indonesia, Java, Iran, Pakistan, Philippines, Sri Lanka, Taiwan and Thailand) and Africa (Tunisia).

Diagnostic methods of tomato leaf curl New Delhi virus in Russian Federation

2021 ◽  
Author(s):  
E. Lozovaya ◽  
Y. Prikhodko ◽  
T. Zhivaeva ◽  
E. Karimova ◽  
Y. Shneyder
Keyword(s):  
Russian Federation ◽  
Tomato Leaf ◽  
Diagnostic Methods ◽  
New Delhi ◽  
Tomato Leaf Curl ◽  
Leaf Curl

Emergence of tomato leaf curl New Delhi virus in Italy: estimation of incidence and genetic diversity

2019 ◽  
Vol 68 (3) ◽  
pp. 601-608 ◽  
Author(s):  
S. Panno ◽  
A. G. Caruso ◽  
E. Troiano ◽  
M. Luigi ◽  
A. Manglli ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Tomato Leaf ◽  
New Delhi ◽  
Tomato Leaf Curl ◽  
Leaf Curl

Diversity analysis of Tomato leaf curl New Delhi virus-[potato], causing apical leaf curl disease of potato in India

2017 ◽  
Vol 45 (1) ◽  
pp. 33-43 ◽  
Author(s):  
Arjunan Jeevalatha ◽  
Swarup Kumar Chakrabarti ◽  
Sanjeev Sharma ◽  
Vinay Sagar ◽  
Kamlesh Malik ◽  
...  
Keyword(s):  
Tomato Leaf ◽  
Diversity Analysis ◽  
New Delhi ◽  
Apical Leaf ◽  
Tomato Leaf Curl ◽  
Leaf Curl Disease ◽  
Leaf Curl

scholarly journals First report of tomato leaf curl New Delhi virus in zucchini crops in Greece

2019 ◽  
Vol 101 (3) ◽  
pp. 799-799 ◽  
Author(s):  
Chrysoula G. Orfanidou ◽  
Ioanna Malandraki ◽  
Despoina Beris ◽  
Oxana Kektsidou ◽  
Nikon Vassilakos ◽  
...  
Keyword(s):  
Tomato Leaf ◽  
New Delhi ◽  
First Report ◽  
Tomato Leaf Curl ◽  
Leaf Curl

scholarly journals In silico evaluation of molecular virus–virus interactions taking place between Cotton leaf curl Kokhran virus- Burewala strain and Tomato leaf curl New Delhi virus

PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e12018
Author(s):  
Nida Fatima Ali ◽  
Rehan Zafar Paracha ◽  
Muhammad Tahir
Keyword(s):  
Protein Structures ◽  
Protein Docking ◽  
Tomato Leaf ◽  
Replication Initiation ◽  
Electrostatic Energy ◽  
Cotton Leaf ◽  
New Delhi ◽  
Virus Interactions ◽  
Tomato Leaf Curl ◽  
Leaf Curl

Background Cotton leaf curl disease (CLCuD) is a disease of cotton caused by begomoviruses, leading to a drastic loss in the annual yield of the crop. Pakistan has suffered two epidemics of this disease leading to the loss of billions in annual exports. The speculation that a third epidemic of CLCuD may result as consequence of the frequent occurrence of Tomato leaf curl New Delhi virus (ToLCNDV) and Cotton leaf curl Kokhran Virus-Burewala Strain (CLCuKoV-Bu) in CLCuD infected samples, demand that the interactions taking between the two viruses be properly evaluated. This study is designed to assess virus-virus interactions at the molecular level and determine the type of co-infection taking place. Methods Based on the amino acid sequences of the gene products of both CLCuKoV-Bu and ToLCNDV, protein structures were generated using different software, i.e., MODELLER, I-TASSER, QUARKS, LOMETS and RAPTORX. A consensus model for each protein was selected after model quality assessment using ERRAT, QMEANDisCo, PROCHECK Z-Score and Ramachandran plot analysis. The active and passive residues in the protein structures were identified using the CPORT server. Protein–Protein Docking was done using the HADDOCK webserver, and 169 Protein–Protein Interaction (PPIs) were performed between the proteins of the two viruses. The docked complexes were submitted to the PRODIGY server to identify the interacting residues between the complexes. The strongest interactions were determined based on the HADDOCK Score, Desolvation energy, Van der Waals Energy, Restraint Violation Energy, Electrostatic Energy, Buried Surface Area and Restraint Violation Energy, Binding Affinity and Dissociation constant (Kd). A total of 50 ns Molecular Dynamic simulations were performed on complexes that exhibited the strongest affinity in order to validate the stability of the complexes, and to remove any steric hindrances that may exist within the structures. Results Our results indicate significant interactions taking place between the proteins of the two viruses. Out of all the interactions, the strongest were observed between the Replication Initiation protein (Rep) of CLCuKoV-Bu with the Movement protein (MP), Nuclear Shuttle Protein (NSP) of ToLCNDV (DNA-B), while the weakest were seen between the Replication Enhancer protein (REn) of CLCuKoV-Bu with the REn protein of ToLCNDV. The residues identified to be taking a part in interaction belonged to domains having a pivotal role in the viral life cycle and pathogenicity. It maybe deduced that the two viruses exhibit antagonistic behavior towards each other, and the type of infection may be categorised as a type of Super Infection Exclusion (SIE) or homologous interference. However, further experimentation, in the form of transient expression analysis, is needed to confirm the nature of these interactions and increase our understanding of the direct interactions taking place between two viruses.

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