Suppr超能文献

一种古老蛋白质序列空间中的替代进化历史。

Alternative evolutionary histories in the sequence space of an ancient protein.

作者信息

Starr Tyler N, Picton Lora K, Thornton Joseph W

机构信息

Department of Biochemistry and Molecular Biology, University of Chicago, Chicago, Illinois 60637, USA.

Department of Ecology and Evolution, University of Chicago, Chicago, Illinois 60637, USA.

出版信息

Nature. 2017 Sep 21;549(7672):409-413. doi: 10.1038/nature23902. Epub 2017 Sep 13.

Abstract

To understand why molecular evolution turned out as it did, we must characterize not only the path that evolution followed across the space of possible molecular sequences but also the many alternative trajectories that could have been taken but were not. A large-scale comparison of real and possible histories would establish whether the outcome of evolution represents an optimal state driven by natural selection or the contingent product of historical chance events; it would also reveal how the underlying distribution of functions across sequence space shaped historical evolution. Here we combine ancestral protein reconstruction with deep mutational scanning to characterize alternative histories in the sequence space around an ancient transcription factor, which evolved a novel biological function through well-characterized mechanisms. We find hundreds of alternative protein sequences that use diverse biochemical mechanisms to perform the derived function at least as well as the historical outcome. These alternatives all require prior permissive substitutions that do not enhance the derived function, but not all require the same permissive changes that occurred during history. We find that if evolution had begun from a different starting point within the network of sequences encoding the ancestral function, outcomes with different genetic and biochemical forms would probably have resulted; this contingency arises from the distribution of functional variants in sequence space and epistasis between residues. Our results illuminate the topology of the vast space of possibilities from which history sampled one path, highlighting how the outcome of evolution depends on a serial chain of compounding chance events.

摘要

为了理解分子进化为何如此,我们不仅必须描述进化在可能的分子序列空间中所遵循的路径,还必须描述许多本可采用但未被采用的替代轨迹。对真实历史和可能历史进行大规模比较,将确定进化的结果是代表由自然选择驱动的最优状态,还是历史偶然事件的偶然产物;这也将揭示序列空间中功能的潜在分布如何塑造了历史进化。在这里,我们将祖先蛋白重建与深度突变扫描相结合,以描述围绕一种古老转录因子的序列空间中的替代历史,该转录因子通过特征明确的机制进化出了一种新的生物学功能。我们发现了数百种替代蛋白序列,它们使用不同的生化机制来执行衍生功能,其效果至少与历史结果一样好。这些替代序列都需要先前的许可性替换,这些替换不会增强衍生功能,但并非所有都需要历史上发生的相同许可性变化。我们发现,如果进化从编码祖先功能的序列网络中的不同起点开始,可能会产生具有不同遗传和生化形式的结果;这种偶然性源于序列空间中功能变体的分布以及残基之间的上位性。我们的结果阐明了历史从中抽取一条路径的巨大可能性空间的拓扑结构,突出了进化结果如何依赖于一连串复合偶然事件。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/da9c/6214350/bb7ec18d4156/nihms-898685-f0005.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验