Experimental evolution of an RNA virus in Caenorhabditis elegans

IF 2.6 4区医学 Q3 INFECTIOUS DISEASES

Infection Genetics and Evolution Pub Date : 2024-06-18 DOI:10.1016/j.meegid.2024.105623

Victoria G. Castiglioni , María J. Olmo-Uceda , Susana Martín , Marie-Anne Félix , Rubén González , Santiago F. Elena

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引用次数: 0

Abstract

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.

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一种 RNA 病毒在秀丽隐杆线虫中的实验进化。

奥赛病毒（Orsay virus，OrV）是第一种感染秀丽隐杆线虫野生种群的病毒，它的发现推动了对该线虫病毒免疫途径的研究。考虑到秀丽隐杆线虫在宿主-病原体相互作用基础研究方面的诸多优势，该病理系统极有可能成为病毒进化实验研究的模型系统。然而，对这一病理系统中的进化制约因素（即遗传变异、选择、漂移和历史偶然性之间的平衡）几乎没有进行过研究。在这里，我们首次描述了两种不同的 OrV 菌株在秀丽隐杆线虫中的进化实验。对这两种祖先毒株的比较显示了它们在感染性和序列上的差异，并强调了病毒接种量持续正常化对毒株间进行有意义比较的重要性。经过 10 次连续的进化，我们发现病毒的感染性发生了轻微变化，进化后的病毒种群中固定了非同义突变。此外，我们还观察到病毒群体中出现了许多小变种。这些小变异并非随机分布在基因组中，而是集中在多态基因组区域。总之，我们的工作为今后利用 Caenorhabditis 线虫进行病毒进化实验研究奠定了基础。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Infection Genetics and Evolution 医学-传染病学

CiteScore

8.40

自引率

0.00%

发文量

215

审稿时长

82 days

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 .