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高分辨率谱系追踪揭示实验室酵母中适应性的传播波。

High-resolution lineage tracking reveals travelling wave of adaptation in laboratory yeast.

机构信息

Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA, USA.

Graduate Program in Systems Biology, Harvard University, Cambridge, MA, USA.

出版信息

Nature. 2019 Nov;575(7783):494-499. doi: 10.1038/s41586-019-1749-3. Epub 2019 Nov 13.

Abstract

In rapidly adapting asexual populations, including many microbial pathogens and viruses, numerous mutant lineages often compete for dominance within the population. These complex evolutionary dynamics determine the outcomes of adaptation, but have been difficult to observe directly. Previous studies have used whole-genome sequencing to follow molecular adaptation; however, these methods have limited resolution in microbial populations. Here we introduce a renewable barcoding system to observe evolutionary dynamics at high resolution in laboratory budding yeast. We find nested patterns of interference and hitchhiking even at low frequencies. These events are driven by the continuous appearance of new mutations that modify the fates of existing lineages before they reach substantial frequencies. We observe how the distribution of fitness within the population changes over time, and find a travelling wave of adaptation that has been predicted by theory. We show that clonal competition creates a dynamical 'rich-get-richer' effect: fitness advantages that are acquired early in evolution drive clonal expansions, which increase the chances of acquiring future mutations. However, less-fit lineages also routinely leapfrog over strains of higher fitness. Our results demonstrate that this combination of factors, which is not accounted for in existing models of evolutionary dynamics, is critical in determining the rate, predictability and molecular basis of adaptation.

摘要

在快速适应的无性繁殖种群中,包括许多微生物病原体和病毒,许多突变谱系经常在种群内竞争主导地位。这些复杂的进化动态决定了适应的结果,但很难直接观察到。以前的研究使用全基因组测序来跟踪分子适应;然而,这些方法在微生物种群中的分辨率有限。在这里,我们引入了一种可再生的条形码系统,可以在实验室出芽酵母中以高分辨率观察进化动态。我们甚至在低频时也发现了嵌套的干扰和搭便车模式。这些事件是由不断出现的新突变驱动的,这些新突变在现有谱系达到实质性频率之前改变了它们的命运。我们观察了种群内的适应度分布随时间的变化,并发现了理论预测的适应性传播波。我们表明,克隆竞争产生了一种动态的“富者愈富”效应:在进化早期获得的适应性优势会推动克隆扩张,从而增加获得未来突变的机会。然而,适应度较低的谱系也经常超越适应度较高的菌株。我们的结果表明,这种组合因素,在现有的进化动态模型中没有考虑到,对于决定适应的速度、可预测性和分子基础至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0b2d/6938260/7bfd919d37a3/nihms-1541050-f0005.jpg

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