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Bottleneck Isolate Amplify Select (BIAS) as a mechanistic framework for intracellular population dynamics of positive-sense RNA viruses

机译:瓶颈分离放大选择(偏见)作为体育型RNA病毒细胞内群体动态的机械框架

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摘要

Many positive-sense RNA viruses, especially those infecting plants, are known to experience stringent, stochastic population bottlenecks inside the cells they invade, but exactly how and why these populations become bottlenecked are unclear. A model proposed ten years ago advocates that such bottlenecks are evolutionarily favored because they cause the isolation of individual viral variants in separate cells. Such isolation in turn allows the viral variants to manifest the phenotypic differences they encode. Recently published observations lend mechanistic support to this model and prompt us to refine the model with novel molecular details. The refined model, designated Bottleneck, Isolate, Amplify, Select (BIAS), postulates that these viruses impose population bottlenecks on themselves by encoding bottleneck-enforcing proteins (BNEPs) that function in a concentration-dependent manner. In cells simultaneously invaded by numerous virions of the same virus, BNEPs reach the bottleneck-ready concentration sufficiently early to arrest nearly all internalized viral genomes. As a result, very few (as few as one) viral genomes stochastically escape to initiate reproduction. Repetition of this process in successively infected cells isolates viral genomes with different mutations in separate cells. This isolation prevents mutant viruses encoding defective viral proteins from hitchhiking on sister genome-encoded products, leading to the swift purging of such mutants. Importantly, genome isolation also ensures viral genomes harboring beneficial mutations accrue the cognate benefit exclusively to themselves, leading to the fixation of such beneficial mutations. Further interrogation of the BIAS hypothesis promises to deepen our understanding of virus evolution and inspire new solutions to virus disease mitigation.
机译:已知许多阳性感染RNA病毒,特别是那些感染植物,在他们侵入的细胞内体验严格,随机人群瓶颈,但是这些人群如何以及为什么这些人群变得令人讨意而驰。十年前提出的模型倡导这些瓶颈是进化的,因为它们导致单独细胞中的个体病毒变体分离。这种分离又允许病毒变体表现出他们编码的表型差异。最近公布的观察结果对这种模型提供了机械支持,并提示我们用新的分子细节来改进模型。精致模型,指定的瓶颈,分离,放大,选择(偏置),通过编码以浓缩依赖性方式起作用的瓶颈强制性蛋白质(BNEP)来赋予人群瓶颈。在同一病毒的众多病毒的细胞同时侵入的细胞中,BNEPs足够早期地达到瓶颈准备浓度以捕获几乎所有内化的病毒基因组。结果,很少有(少数一)病毒基因组随机逃逸以引发繁殖。在连续感染的细胞中重复该过程将具有不同突变的病毒基因组分离在单独的细胞中。该分离可防止突变病毒从携带筛选的患者组织编码产品中编码有缺陷的病毒蛋白,导致这种突变体的迅速吹扫。重要的是,基因组分离还确保患有有益突变的病毒基因组专门为自己赋予同源损益,导致这种有益突变的固定。进一步询问偏见假设的承诺,深化我们对病毒演化的理解,并激发了病毒疾病缓解的新解决方案。

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