Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 4 de 4
Filtrar
Mais filtros












Base de dados
Intervalo de ano de publicação
1.
Infect Genet Evol ; 123: 105623, 2024 Jun 18.
Artigo em Inglês | MEDLINE | ID: mdl-38901623

RESUMO

The discovery of Orsay virus (OrV), the first virus infecting wild populations of Caenorhabditis elegans, has boosted studies of viral immunity pathways in this nematode. Considering the many advantages that C. elegans offers for fundamental research in host-pathogen interactions, this pathosystem has high potential to become a model system for experimental virus evolution studies. However, the evolutionary constraints - i.e, the balance between genetic variation, selection, drift and historical contingency- operating in this pathosystem have barely been explored. Here we describe for the first time an evolution experiment of two different OrV strains in C. elegans. Comparison of the two ancestral strains showed differences in infectivity and sequence, and highlighted the importance of consistently normalize viral inocula for meaningful comparisons among strains. After 10 serial passages of evolution, we report slight changes in infectivity and non-synonymous mutations fixed in the evolved viral populations. In addition, we observed numerous minor variants emerging in the viral population. These minor variants were not randomly distributed along the genome but concentrated in polymorphic genomic regions. Overall, our work established the grounds for future experimental virus evolution studies using Caenorhabditis nematodes.

2.
Viruses ; 16(4)2024 04 20.
Artigo em Inglês | MEDLINE | ID: mdl-38675984

RESUMO

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. Understanding the dynamics of DVGs alongside standard viral genomes during infection remains unclear. To address this, we conducted a long-term experimental evolution of two betacoronaviruses, the human coronavirus OC43 (HCoV-OC43) and the murine hepatitis virus (MHV), in cell culture at both high and low multiplicities of infection (MOI). We then performed RNA-seq at regular time intervals, reconstructed DVGs, and analyzed their accumulation dynamics. Our findings indicate that DVGs evolved to exhibit greater diversity and abundance, with deletions and insertions being the most common types. Notably, some high MOI deletions showed very limited temporary existence, while others became prevalent over time. We observed differences in DVG abundance between high and low MOI conditions in HCoV-OC43 samples. The size distribution of HCoV-OC43 genomes with deletions differed between high and low MOI passages. In low MOI lineages, short and long DVGs were the most common, with an additional cluster in high MOI lineages which became more prevalent along evolutionary time. MHV also showed variations in DVG size distribution at different MOI conditions, though they were less pronounced compared to HCoV-OC43, suggesting a more random distribution of DVG sizes. We identified hotspot regions for deletions that evolved at a high MOI, primarily within cistrons encoding structural and accessory proteins. In conclusion, our study illustrates the widespread formation of DVGs during betacoronavirus evolution, influenced by MOI and cell- and virus-specific factors.


Assuntos
Coronavirus Humano OC43 , Vírus Defeituosos , Evolução Molecular , Genoma Viral , Vírus da Hepatite Murina , Replicação Viral , Animais , Humanos , Vírus Defeituosos/genética , Vírus da Hepatite Murina/genética , Coronavirus Humano OC43/genética , Camundongos , RNA Viral/genética , Linhagem Celular
3.
Evolution ; 78(1): 69-85, 2024 Jan 04.
Artigo em Inglês | MEDLINE | ID: mdl-37891007

RESUMO

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. All evolved lineages showed adaptation to the lack of epigenetically regulated responses through significant increases in infectivity, virulence, and viral load although the magnitude of the improvements strongly depended on the plant genotype. In early passages, these traits evolved more rapidly, but the rate of evolution flattened out in later ones. Viral load was positively correlated with different measures of virulence, though the strength of the associations changed from the ancestral to the evolved viruses. High-throughput sequencing was used to evaluate the viral diversity of each lineage, as well as characterizing the nature of fixed mutations, evolutionary convergences, and potential targets of TuMV adaptation. Within each lineage, we observed a net increase in genome-wide genetic diversity, with some instances where nonsynonymous alleles experienced a transient rise in abundance before being displaced by the ancestral allele. In agreement with previous studies, viral VPg protein has been shown as a key player in the adaptation process, even though no obvious association between fixed alleles and host genotype was found.


Assuntos
Proteínas de Arabidopsis , Arabidopsis , Potyvirus , Arabidopsis/genética , Proteínas de Arabidopsis/genética , Proteínas de Arabidopsis/metabolismo , Interações Hospedeiro-Patógeno/genética , Potyvirus/genética , Proteínas Virais/genética , Proteínas Virais/metabolismo , Genômica , Epigênese Genética , Doenças das Plantas/genética
4.
Viruses ; 14(5)2022 05 23.
Artigo em Inglês | MEDLINE | ID: mdl-35632855

RESUMO

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. Several algorithms have been proposed to accomplish this goal, though all incur false positives, a problem of practical interest if such DVGs have to be synthetized and tested in the laboratory. We present a metasearch tool, DVGfinder, that wraps the two most commonly used DVG search algorithms in a single workflow for the identification of the DVGs in HTS data. DVGfinder processes the results of ViReMa-a and DI-tector and uses a gradient boosting classifier machine learning algorithm to reduce the number of false-positive events. The program also generates output files in user-friendly HTML format, which can help users to explore the DVGs identified in the sample. We evaluated the performance of DVGfinder compared to the two search algorithms used separately and found that it slightly improves sensitivities for low-coverage synthetic HTS data and DI-tector precision for high-coverage samples. The metasearch program also showed higher sensitivity on a real sample for which a set of copy-backs were previously validated.


Assuntos
Vírus Defeituosos , Vírus de RNA , Vírus Defeituosos/genética , Genoma Viral , Sequenciamento de Nucleotídeos em Larga Escala , Vírus de RNA/genética , RNA-Seq
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA
...