Laboratory MIVEGEC (UMR CNRS 5290, IRD 224, UM), National Center for Scientific Research (CNRS), Montpellier, France.
Instituto de Biología Molecular y Celular de Plantas (IBMCP), Consejo Superior de Investigaciones Científicas-Universitat Politècnica de València, València, Spain.
Heredity (Edinb). 2018 Nov;121(5):499-509. doi: 10.1038/s41437-018-0086-x. Epub 2018 May 10.
Horizontal gene transfer is common among viruses, while they also have highly compact genomes and tend to lose artificial genomic insertions rapidly. Understanding the stability of genomic insertions in viral genomes is therefore relevant for explaining and predicting their evolutionary patterns. Here, we revisit a large body of experimental research on a plant RNA virus, tobacco etch potyvirus (TEV), to identify the patterns underlying the stability of a range of homologous and heterologous insertions in the viral genome. We obtained a wide range of estimates for the recombination rate-the rate at which deletions removing the insertion occur-and these appeared to be independent of the type of insertion and its location. Of the factors we considered, recombination rate was the best predictor of insertion stability, although we could not identify the specific sequence characteristics that would help predict insertion instability. We also considered experimentally the possibility that functional insertions lead to higher mutational robustness through increased redundancy. However, our observations suggest that both functional and non-functional increases in genome size decreased the mutational robustness. Our results therefore demonstrate the importance of recombination rates for predicting the long-term stability and evolution of viral RNA genomes and suggest that there are unexpected drawbacks to increases in genome size for mutational robustness.
水平基因转移在病毒中很常见,而它们的基因组也非常紧凑,往往会迅速失去人工基因组插入。因此,了解病毒基因组中基因组插入的稳定性对于解释和预测它们的进化模式是相关的。在这里,我们重新审视了大量关于植物 RNA 病毒烟草蚀纹病毒 (TEV) 的实验研究,以确定病毒基因组中一系列同源和异源插入的稳定性模式。我们获得了广泛的重组率估计值 - 即删除插入物的缺失发生的速率 - 并且这些似乎与插入物的类型及其位置无关。在我们考虑的因素中,重组率是插入稳定性的最佳预测因子,尽管我们无法确定有助于预测插入不稳定性的特定序列特征。我们还从实验上考虑了功能插入物通过增加冗余而导致更高突变稳健性的可能性。然而,我们的观察结果表明,基因组大小的功能和非功能增加都会降低突变稳健性。因此,我们的研究结果表明,重组率对于预测病毒 RNA 基因组的长期稳定性和进化非常重要,并表明基因组大小增加对突变稳健性存在意想不到的弊端。