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Toward More Accurate Ancestral Protein Genotype–Phenotype Reconstructions with the Use of Species Tree-Aware Gene Trees

机译:利用物种树识别基因树实现更精确的祖先蛋白基因型-表型重建

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摘要

The resurrection of ancestral proteins provides direct insight into how natural selection has shaped proteins found in nature. By tracing substitutions along a gene phylogeny, ancestral proteins can be reconstructed in silico and subsequently synthesized in vitro. This elegant strategy reveals the complex mechanisms responsible for the evolution of protein functions and structures. However, to date, all protein resurrection studies have used simplistic approaches for ancestral sequence reconstruction (ASR), including the assumption that a single sequence alignment alone is sufficient to accurately reconstruct the history of the gene family. The impact of such shortcuts on conclusions about ancestral functions has not been investigated. Here, we show with simulations that utilizing information on species history using a model that accounts for the duplication, horizontal transfer, and loss (DTL) of genes statistically increases ASR accuracy. This underscores the importance of the tree topology in the inference of putative ancestors. We validate our in silico predictions using in vitro resurrection of the LeuB enzyme for the ancestor of the Firmicutes, a major and ancient bacterial phylum. With this particular protein, our experimental results demonstrate that information on the species phylogeny results in a biochemically more realistic and kinetically more stable ancestral protein. Additional resurrection experiments with different proteins are necessary to statistically quantify the impact of using species tree-aware gene trees on ancestral protein phenotypes. Nonetheless, our results suggest the need for incorporating both sequence and DTL information in future studies of protein resurrections to accurately define the genotype–phenotype space in which proteins diversify.
机译:祖先蛋白质的复活可以直接洞察自然选择如何塑造自然界中发现的蛋白质。通过沿着基因系统发育追踪替代,祖先蛋白可以在计算机中重建,然后在体外合成。这种优雅的策略揭示了负责蛋白质功能和结构进化的复杂机制。但是,迄今为止,所有蛋白质复活研究都使用了简单的方法来进行祖先序列重建(ASR),包括以下假设:仅单个序列比对就足以准确地重建基因家族的历史。这些捷径对有关祖先功能的结论的影响尚未得到研究。在这里,我们通过仿真显示,利用模型中的物种历史信息来统计基因的重复,水平转移和丢失(DTL),可以提高ASR的准确性。这强调了树拓扑在推定祖先推断中的重要性。我们使用LeuB酶在体外复活的Firmicutes(主要和古老的细菌门)的祖先来验证我们的计算机模拟预测。有了这种特殊的蛋白质,我们的实验结果表明,有关物种系统发育的信息导致了生物化学上更现实,动力学上更稳定的祖先蛋白质。要用统计学方法量化使用树种感知基因树对祖先蛋白表型的影响,还需要使用不同蛋白质进行其他复活实验。但是,我们的结果表明,在蛋白质复活的未来研究中需要将序列和DTL信息都纳入其中,以准确定义蛋白质多样化的基因型-表型空间。

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