Role of RNA and ssDNA Viruses in Plant–Virus/Viroid Interactions
A special issue of Agronomy (ISSN 2073-4395). This special issue belongs to the section "Pest and Disease Management".
Deadline for manuscript submissions: 30 September 2025 | Viewed by 543
Special Issue Editors
Interests: RNA and ssDNA plant viruses; virus variability; virus evolution; virology
Interests: microbiology; genetics; bioinformatics; molecular biology; virus evolution; viral population
Interests: tandem repeats; trinucleotide repeats; microsatellite; minisatellite; repeat expansion; DNA instability; DNA replication; DNA repair; replication slippage
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
RNA and single-stranded DNA (ssDNA) play pivotal roles in plant–virus and plant–viroid interactions, significantly influencing plant health and agricultural productivity. Understanding these interactions is essential for developing innovative strategies to manage plant diseases caused by these pathogens. This Special Issue seeks to compile cutting-edge research on the multifaceted roles of RNA and ssDNA in plant–virus/viroid interactions, including the molecular mechanisms of replication, host–pathogen interactions, virus and viroid evolution, and the latest bioinformatics approaches to study these processes.
We invite original research articles, comprehensive reviews, case studies, and perspectives that explore various aspects of RNA and ssDNA in plant–viral/viroid interactions. Topics of interest include, but are not limited to, the molecular dynamics of RNA and ssDNA replication, mechanisms of plant defense responses, virus and viroid transmission and evolution, including co-infection of viruses, recombination, and generation of virus and viroid variability, and the impact of these pathogens on plant physiology and crop yield. Additionally, contributions that utilize advanced bioinformatics tools to elucidate the genetic and epigenetic landscapes of these interactions are highly encouraged.
By bringing together diverse expertise and insights, this Special Issue aims to enhance our understanding of plant–virus/viroid biology and foster the development of effective disease management strategies. We welcome researchers and experts from various disciplines to contribute their valuable findings and perspectives to this comprehensive collection.
Prof. Dr. Ana Grande-Perez
Dr. Luis Díaz-Martinez
Prof. Dr. Enrique Viguera
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Agronomy is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- RNA
- ssDNA
- plant–virus interactions
- virus/viroid evolution
- host–pathogen interactions
- plant defense response
- sequence analysis/bioinformatics
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