Publications by authors named "Maria J Olmo-Uceda"

Motivation: Defective viral genomes (DVGs) are variants of the wild-type (wt) virus that lack the ability to complete autonomously an infectious cycle. However, in the presence of their parental (helper) wt virus, DVGs can interfere with the replication, encapsidation, and spread of functional genomes, acting as a significant selective force in viral evolution. DVGs also affect the host's immune responses and are linked to chronic infections and milder symptoms.

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Article Synopsis
  • Defective viral genomes (DVGs) arise from replication errors in viral genomes, leading to mutations that prevent them from infecting on their own without a helper virus.* -
  • In experiments with the tomato black ring virus (TBRV), researchers observed how DVGs formed when the virus was passed through different host plants, indicating that host diversity influenced DVG production.* -
  • The study found that deletions were the most common mutations in DVGs from TBRV, with diversity in the DVG population varying based on the host species used during the passage process.*
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Background: Plant-virus interaction models propose that a virus's ability to infect a host genotype depends on the compatibility between virulence and resistance genes. Recently, we conducted an evolution experiment in which lineages of turnip mosaic virus (TuMV) were passaged in Arabidopsis thaliana genotypes carrying mutations in components of the DNA methylation and the histone demethylation epigenetic pathways. All evolved lineages increased infectivity, virulence and viral load in a host genotype-dependent manner.

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Orsay virus (OrV) is the only known natural virus affecting , with minimal impact on the animal's fitness due to its robust innate immune response. This study aimed to understand the interactions between and OrV by tracking the infection's progression during larval development. Four distinct stages of infection were identified on the basis of viral load, with a peak in capsid-encoding RNA2 coinciding with the first signs of viral egression.

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Article Synopsis
  • The discovery of the Orsay virus (OrV) in wild Caenorhabditis elegans has sparked new research into viral immunity in these nematodes, highlighting their potential as a model for virus evolution studies.
  • This study conducted evolutionary experiments on two different strains of OrV, revealing variations in infectivity and the necessity of normalizing viral doses for accurate comparisons.
  • After 10 rounds of evolution, researchers noted subtle changes in viral infectivity and the emergence of minor genetic variants, emphasizing the complexity of viral evolution within this host-pathogen system.
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Virus-encoded replicases often generate aberrant RNA genomes, known as defective viral genomes (DVGs). When co-infected with a helper virus providing necessary proteins, DVGs can multiply and spread. While DVGs depend on the helper virus for propagation, they can in some cases disrupt infectious virus replication, impact immune responses, and affect viral persistence or evolution.

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In this study, we investigated how an emerging RNA virus evolves, interacts, and adapts to populations of a novel host species with defects in epigenetically controlled plant defense mechanisms. Mutations in epigenetic regulatory pathways would exert different effects on defense-response genes but also induce large-scale alterations in cellular physiology and homeostasis. To test whether these effects condition the emergence and subsequent adaptation of a viral pathogen, we have evolved five independent lineages of a naive turnip mosaic virus (TuMV) strain in a set of Arabidopsis thaliana genotypes carrying mutations that influence important elements of two main epigenetic pathways and compare the results with those obtained for viral lineages evolved in wild-type plants.

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The generation of different types of defective viral genomes (DVG) is an unavoidable consequence of the error-prone replication of RNA viruses. In recent years, a particular class of DVGs, those containing long deletions or genome rearrangements, has gain interest due to their potential therapeutic and biotechnological applications. Identifying such DVGs in high-throughput sequencing (HTS) data has become an interesting computational problem.

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