通过体外选择从随机序列池中分离更复杂的功能性核酸基序的热循环策略的计算测试。

Aaron Reba, Austin G Meyer, Jeffrey E Barrick
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引用次数: 1

摘要

在实验室中,利用核酸的双重信息功能特性,通过体外选择和扩增循环,从随机DNA和RNA序列中分离出新的受体和催化剂。这种策略特别有效,因为与具有随机氨基酸序列的多肽不同,具有随机碱基序列的核酸通常能够稳定地折叠成确定的三维结构。然而,众所周知,核酸普遍存在的碱基配对潜力也会导致其折叠景观中的动力学陷阱。也就是说,相同的DNA或RNA序列通常可以采用局部能量最小的替代碱基配对结构,并且这些折叠可能非常缓慢地相互转换。我们用核酸折叠算法模拟了错误折叠对体外选择实验的影响。我们证明了动力学陷阱可以通过两种机制阻止复杂功能基序的新家族的恢复。首先,错误折叠会导致第一轮选择中唯一序列的随机丢失。其次,频繁的错误折叠会降低序列多个拷贝的平均活性,以至于在多轮选择后,它将被淘汰。在这些模拟中,在选择自修饰催化活性的过程中,对一个序列的多个折叠样品进行热循环可以提高更复杂结构的稀有样品的回收率。虽然新分离的序列可能折叠不好,但它们可以代表序列空间中的立足点,在经过一些突变后可以改进为可靠的折叠。因此,在原始地球上昼夜循环或其他机制的热循环可能对第一批RNA催化剂的进化很重要,并且在今天的实验室中可能使用折叠采样策略来寻找更有效的核酸催化剂。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Computational tests of a thermal cycling strategy to isolate more complex functional nucleic acid motifs from random sequence pools by in vitro selection.

The dual information-function nature of nucleic acids has been exploited in the laboratory to isolate novel receptors and catalysts from random DNA and RNA sequences by cycles of in vitro selection and amplification. This strategy is particularly effective because, unlike polypeptides with random amino acid sequences, nucleic acids with random base sequences are often capable of stably folding into defined three-dimensional structures. However, the pervasive base-pairing potential of nucleic acids is also known to lead to kinetic traps in their folding landscapes. That is, the same DNA or RNA sequence can often adopt alternative base-paired structures that are local energy minima, and these folds may interconvert very slowly. We have used simulations with nucleic acid folding algorithms to evaluate the effect of misfolding on in vitro selection experiments. We demonstrate that kinetic traps can prevent the recovery of novel families of complex functional motifs by two mechanisms. First, misfolding can lead to the stochastic loss of unique sequences in the first round of selection. Second, frequent misfolding can reduce the average activity of multiple copies of a sequence to such an extent that it will be outcompeted after multiple rounds of selection. In these simulations, adding thermal cycling to sample multiple folds of one sequence during a selection for a self-modifying catalytic activity can improve the recovery of rare examples of more complex structures. Although newly isolated sequences may fold poorly, they can represent footholds in sequence space that can be improved to reliably fold after a few mutations. Thus, it is plausible that thermal cycling by day-night cycles or other mechanisms on the primordial earth may have been important for the evolution of the first RNA catalysts, and a fold sampling strategy might be used to search for more effective nucleic acid catalysts in the laboratory today.

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