Members of the family Geminiviridae have single-stranded (ss), circular DNA genomes that are encapsidated into non-enveloped quasi-icosahedral twinned (geminate) particles, causing yield losses in several economically important crops worldwide. Sequence-based approaches used for molecular characterization of Geminiviridae genomes, associated with powerful bioinformatic tools, provided a better picture about the true extent of the Geminiviridae species diversity. This chapter describes procedures to reconstruct Geminiviridae phylogenetic relationships based on coat protein (CP) and replication-associated protein (Rep) amino acid sequences and full-length nucleotide genomes using both maximum likelihood (ML) and Bayesian inference (BI) approaches. Although topological incongruences can be observed among the ML phylogenetic trees for CP, Rep, and genome sequences, suggesting inter-genera recombination, Geminiviridae exemplar viruses predominantly cluster according to the genera recognized by the International Committee on Taxonomy of Viruses.
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http://dx.doi.org/10.1007/978-1-0716-4454-6_10 | DOI Listing |
Methods Mol Biol
March 2025
Instituto de Ciencias Agrarias (ICA), Consejo Superior de Investigaciones Científicas (CSIC), Madrid, Spain.
The majority of plant viruses rely on Hemipteran vectors for their survival and transmission. Moreover, many viruses can manipulate their insect vectors. In this context, the Electrical Penetration Graph (EPG) technique is a valuable tool for understanding how plant viruses, such as the begomovirus tomato yellow leaf curl virus (TYLCV), modify the probing and feeding behavior of piercing-sucking insect vectors like the whitefly Bemisia tabaci Gennadius (Hemiptera: Aleyrodidae).
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March 2025
State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing, China.
Geminiviruses rely heavily on complicated protein-protein interactions between viral proteins and between virus and host plant proteins to establish successful infection. The bimolecular fluorescence complementation (BiFC) assay is based on the in vivo complementation of nonfluorescent component parts of a fluorescent protein through the interaction of proximity target proteins, each fused to a different part of the fluorescent protein. Here, we describe a protocol for the BiFC-based method for the identification of the interaction between geminivirus and plant proteins, which allows for the visualization of protein-protein interactions and the subcellular localization of protein interaction complexes in living systems.
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March 2025
National Institute of Science and Technology in Plant-Pest Interactions/BIOAGRO, Universidade Federal de Viçosa, Viçosa, MG, Brazil.
In eukaryotic cells, the subcellular localization of proteins is inherently linked to their function. Since viruses rely on the host cellular machinery to complete their life cycle, viral proteins are expected to employ the host transport machinery to reach various compartments. Several factors, including the multifunctional nature of viral proteins, the stage of virus infection, and interactions with both viral and host proteins, influence the final destination of viral proteins.
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March 2025
Amity Institute of Virology & Immunology, Amity University Uttar Pradesh, Noida, India.
Successful disease management relies on rapid and accurate identification of the causal agent. Begomoviruses (family Geminiviridae) cause severe economic losses and pose a serious threat to sustainable agriculture. Here, we describe a clustered regularly interspaced short palindromic repeats (CRISPR)-based nucleic acid detection method utilizing the CRISPR/Cas12a and CRISPR/Cas13a system for begomoviruses used in our laboratory.
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March 2025
Dep. de Fitopatologia/BIOAGRO, Universidade Federal de Viçosa, Viçosa, MG, Brazil.
The development of high-throughput sequencing (HTS) technologies has revolutionized plant virology. One of the many application of HTS is the detection and diagnostics of plant viruses. The main advantage of HTS compared to other diagnostics methods is its unbiased nature, meaning that it is capable of detecting any virus present in the sample.
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