Juliana Lopez-Jimenez , Herman D. Palacio-Torres , Juan F. Alzate
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引用次数: 0
Abstract
Plant viral infections pose a significant threat to global crop productivity. Despite their profound impact on agriculture, plant viruses have been relatively understudied, primarily due to technological limitations associated with classical molecular methods. However, the advent of RNA Next-Generation Sequencing (NGS) RNA-seq analysis has revolutionized virus characterization in environmental settings, overcoming previous limitations and providing a powerful tool for studying plant viruses.
In an RNA-seq experiment conducted on a diseased Colombian Cannabis sativa hemp plant, we identified a linear positive-sense single-stranded RNA genome belonging to Tobacco Necrosis Virus A (TNV-A), a common cause of necrotic lesions in plants such as tobacco and tulipa. The affected Cannabis sativa hemp plant exhibited severe symptoms, including alterations in pigmentation, leaf morphology such as chlorosis, necrotic tissue formation, and surface wear on the leaves. The complete genome sequence of the Cannabis sativa TNV-A was 3656 nucleotides long, containing five putative ORFs, and was classified in the family Tombusviridae, genus Alphanecrovirus, and belonging to the Necro-like clade based on RdRp protein phylogenetic analysis. Our analysis revealed a well-conserved RdRp protein among the Alphanecroviruses, with 89 % of the amino acid residues in the peptide being entirely conserved. In contrast, the coat protein exhibited significantly higher variability, with only 49.3 % of the residues being 100 % conserved. Regarding the viral genome expression of Cannabis sativa TNV-A, we observed that the virus was highly abundant in the leaves of the diseased plant, ranking among the topmost abundant transcripts, occupying the percentile position of 3 %. Overall, our study generated the first reference genome of TNV-A virus in the tropical region and reported the first case of this virus infecting a Cannabis sativa plant.
期刊介绍:
(aka Journal of Molecular Epidemiology and Evolutionary Genetics of Infectious Diseases -- MEEGID)
Infectious diseases constitute one of the main challenges to medical science in the coming century. The impressive development of molecular megatechnologies and of bioinformatics have greatly increased our knowledge of the evolution, transmission and pathogenicity of infectious diseases. Research has shown that host susceptibility to many infectious diseases has a genetic basis. Furthermore, much is now known on the molecular epidemiology, evolution and virulence of pathogenic agents, as well as their resistance to drugs, vaccines, and antibiotics. Equally, research on the genetics of disease vectors has greatly improved our understanding of their systematics, has increased our capacity to identify target populations for control or intervention, and has provided detailed information on the mechanisms of insecticide resistance.
However, the genetics and evolutionary biology of hosts, pathogens and vectors have tended to develop as three separate fields of research. This artificial compartmentalisation is of concern due to our growing appreciation of the strong co-evolutionary interactions among hosts, pathogens and vectors.
Infection, Genetics and Evolution and its companion congress [MEEGID](http://www.meegidconference.com/) (for Molecular Epidemiology and Evolutionary Genetics of Infectious Diseases) are the main forum acting for the cross-fertilization between evolutionary science and biomedical research on infectious diseases.
Infection, Genetics and Evolution is the only journal that welcomes articles dealing with the genetics and evolutionary biology of hosts, pathogens and vectors, and coevolution processes among them in relation to infection and disease manifestation. All infectious models enter the scope of the journal, including pathogens of humans, animals and plants, either parasites, fungi, bacteria, viruses or prions. The journal welcomes articles dealing with genetics, population genetics, genomics, postgenomics, gene expression, evolutionary biology, population dynamics, mathematical modeling and bioinformatics. We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services .