Institute for Integrative Systems Biology (I2SysBio), Universitat de Valencia-CSIC, Valencia, Spain.
PLoS Biol. 2024 Jul 16;22(7):e3002709. doi: 10.1371/journal.pbio.3002709. eCollection 2024 Jul.
RNA viruses have notoriously high mutation rates due to error-prone replication by their RNA polymerase. However, natural selection concentrates variability in a few key viral proteins. To test whether this stems from different mutation tolerance profiles among viral proteins, we measured the effect of >40,000 non-synonymous mutations across the full proteome of coxsackievirus B3 as well as >97% of all possible codon deletions in the nonstructural proteins. We find significant variation in mutational tolerance within and between individual viral proteins, which correlated with both general and protein-specific structural and functional attributes. Furthermore, mutational fitness effects remained stable across cell lines, suggesting selection pressures are mostly conserved across environments. In addition to providing a rich dataset for understanding virus biology and evolution, our results illustrate that incorporation of mutational tolerance data into druggable pocket discovery can aid in selecting targets with high barriers to drug resistance.
RNA 病毒由于其 RNA 聚合酶易错复制,突变率极高。然而,自然选择会集中在少数关键的病毒蛋白中的变异性。为了测试这是否源于病毒蛋白之间不同的突变容忍度谱,我们测量了柯萨奇病毒 B3 全蛋白中超过 40000 个非同义突变以及非结构蛋白中 97%以上的所有可能密码子缺失的影响。我们发现单个病毒蛋白内和之间的突变容忍度存在显著差异,这与一般和蛋白质特异性结构和功能属性相关。此外,突变适应性效应在细胞系之间保持稳定,这表明选择压力在很大程度上在环境中保持一致。除了为理解病毒生物学和进化提供丰富的数据集外,我们的结果还表明,将突变容忍度数据纳入可用药口袋发现中可以帮助选择对药物耐药性具有高障碍的靶标。