Weeds as an Alternate Host of Geminivirus

Rajneesh Prajapat, PhD
Faculty of Medical Science, Department of Medical Biochemistry, Rama Medical College and Hospital, Rama University, Kanpur (U.P.) India

Rajarshi Kumar Gaur
Department of Science, Faculty of Arts, Science & Commerce, Mody Institute of Technology & Science, Laxamangarh, Sikar, Rajasthan, India

Series: Virology Research Progress
BISAC: SCI099000



Volume 10

Issue 1

Volume 2

Volume 3

Special issue: Resilience in breaking the cycle of children’s environmental health disparities
Edited by I Leslie Rubin, Robert J Geller, Abby Mutic, Benjamin A Gitterman, Nathan Mutic, Wayne Garfinkel, Claire D Coles, Kurt Martinuzzi, and Joav Merrick


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This book represents basic information about viral-caused and viral-like diseases in many weeds. Many scientific reports have demonstrated that weeds serve as a reservoir or alternative hosts for geminivirus genera (e.g., Begomovirus) for survival and spread in the absence of main crops. Thus, there is a pressing need for additional information on the diversity and distribution of begomoviruses infecting weeds, which likely serve as virus reservoirs. This book represents a tip of the iceberg of the diversity of begomoviruses in weeds. The recognition that geminivirus strains are capable of rapidly diverging through multiple mechanisms, underscores the need for accurate molecularly based methods that permit detection and tracking of biologically significant variants.

Molecular approaches must combine knowledge of biology, ecology and the ability to monitor both conserved sequences and specific sites, most likely to undergo alteration with phylogenetic predictions to facilitate accurate identification and tracking of begomovirus variants and to also recognize new or resurgent viruses. Establishing databases of baseline sequences for extant viruses will permit future comparisons in establishing and interpreting disease patterns and associated trends for vector populations. With the development of reliable computational recombination detection tools and an increasing number of available genome sequences, many studies have reported evidence of recombination in a wide range of virus genera.

The computational analysis suggests that interspecific recombination has resulted in remarkable diversity among geminiviruses and could be a major cause for the emergence of new geminivirus diseases. This book is a primary effort to identify begomovirus components associated with weeds and to design a distribution map of begomovirus on a national basis and in silico characterization of this genera. Throughout the book, the main focus is on the molecular tools and techniques, in silico phylogenetics, computational modeling, protein-protein docking, and recombination analysis of geminivirus strains.

The book also focuses on the first geminivirus database (GVDB) that contains biotic, molecular and in silico information which will permit rapid and accurate begomovirus identification and the selection of relevant viral species for the development of disease resistance/management strategy to the geminiviruses specific to individual crop production areas. To close, there is one chapter on the international and national status of geminivirus infection in various host weeds. Furthermore, the book’s heart discusses the most recent cutting-edge of research that makes this book essential reading for everyone, from researchers to scholars to students, working with molecular and computational aspects of geminivirus research as well as scientists already familiar with the area. (Imprint: Nova Biomedical )


About the Authors

Chapter I: An Overview of Geminivirus Epidemics

Chapter II: Infection Cycle and Transmission of Begomovirus

Chapter III: Begomovirus Associated with Alternative Host Weeds:
International and National Status

Chapter IV: Current Status of Geminivirus in India: RNAi Technology

Chapter V: Begomovirus Infecting Weeds of North India: Molecular Analysis

Chapter VI: Phylogenetic Characterization of Begomovirus
Infecting Weeds of North India

Chapter VII: Homology Modeling, Ligand and Protein Function
Prediction of Begomovirus Components

Chapter VIII: Protein Docking

Chapter IX: Geminivirus Host Mobility (In Silico Recombination Analysis)

Chapter X: The Geminivirus Database (GVDB)


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