混合病毒感染限制了多片段黄瓜花叶病毒的基因组公式

IF 2 Q4 VIROLOGY
Dieke Boezen, Maritta Vermeulen, Marcelle L. Johnson, René A. A. van der Vlugt, Carolyn M. Malmstrom, M. Zwart
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摘要

许多植物病毒有一个多部分的组织,多个基因组片段被包装成单独的病毒颗粒。基因组公式描述了所有病毒基因组片段的相对频率,先前的研究表明,这些频率的快速变化有助于病毒的适应。许多研究报告了植物中的混合病毒感染,通常会导致强烈的病毒-病毒相互作用。在这里,我们测试了三重苜蓿花叶病毒(AMV)和单重马铃薯花叶病毒Y(PVY)的混合感染是否会影响我们的实验模型三重黄瓜花叶病毒(CMV)的基因组公式。我们发现,CMV滴度在混合感染其三重Bromoviridae相对AMV的情况下以及在三重感染AMV和PVY的情况下降低,这表明显著的病毒-病毒相互作用。混合感染(CMV和AMV,CMV和PVY,以及CMV和AM和PVY)中CMV基因组配方的变异性显著低于单一感染(仅CMV)。这些观察结果得出了一个令人惊讶的结论,即两种不同病毒的混合感染限制了CMV基因组公式。目前尚不清楚这些影响在病毒种类和毒株的不同组合中有多普遍,以及潜在的机制是什么。因此,我们扩展了一个模拟模型,以考虑第二种病毒影响基因组公式的三种假定情况。模拟结果还表明,基因组公式发生了变化,但由于所需的条件,可能不会广泛存在。一种建模的场景——通过生态位分化排除共感染——与实验数据一致,因为这种场景导致多部分病毒的基因组配方变异性和滴度降低。尽管之前的研究强调了宿主-物种效应,但我们的研究结果表明,基因组公式也受到混合感染的影响,这表明有更广泛的环境线索影响基因组公式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mixed viral infection constrains the genome formula of multipartite cucumber mosaic virus
Many plant viruses have a multipartite organization, with multiple genome segments packaged into separate virus particles. The genome formula describes the relative frequencies of all viral genome segments, and previous work suggests rapid changes in these frequencies facilitate virus adaptation. Many studies have reported mixed viral infections in plants, often resulting in strong virus–virus interactions. Here, we tested whether mixed infections with tripartite alfalfa mosaic virus (AMV) and monopartite potato virus Y (PVY) affected the genome formula of the tripartite cucumber mosaic virus (CMV), our experimental model. We found that the CMV titer was reduced in mixed infections with its tripartite Bromoviridae relative AMV and in triple infections with both AMV and PVY, indicating notable virus–virus interactions. The variability of the CMV genome formula was significantly lower in mixed infections (CMV and AMV, CMV and PVY, and CMV and AMV and PVY) than in single infections (CMV only). These observations led to the surprising conclusion that mixed infections with two distinct viruses constrain the CMV genome formula. It remains unclear how common these effects are for different combinations of virus species and strains and what the underlying mechanisms are. We, therefore, extended a simulation model to consider three putative scenarios in which a second virus affected the genome formula. The simulation results also suggested that shifts in the genome formula occur, but may not be widespread due to the required conditions. One scenario modeled—co-infection exclusion through niche differentiation—was congruent with the experimental data, as this scenario led to reductions in genome formula variability and titer of the multipartite virus. Whereas previous studies highlighted host–species effects, our results indicate that the genome formula is also affected by mixed infections, suggesting that there is a broader set of environmental cues that affect the genome formula.
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