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一种热循环策略的计算测试,该策略通过体外筛选从随机序列库中分离出更复杂的功能性核酸基序。

Computational tests of a thermal cycling strategy to isolate more complex functional nucleic acid motifs from random sequence pools by in vitro selection.

作者信息

Reba Aaron, Meyer Austin G, Barrick Jeffrey E

机构信息

Department of Chemistry and Biochemistry, Center for Computational Biology and Bioinformatics, Institute for Cellular and Molecular Biology, The University of Texas at Austin.

Center for Systems and Synthetic Biology, Center for Computational Biology and Bioinformatics, Institute for Cellular and Molecular Biology, The University of Texas at Austin.

出版信息

Artif Life 13 (2012). 2013;13:473-480. doi: 10.7551/978-0-262-31050-5-ch062.

Abstract

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.

摘要

核酸的双重信息功能特性已在实验室中得到利用,通过体外选择和扩增循环,从随机DNA和RNA序列中分离新型受体和催化剂。该策略特别有效,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折叠成确定的三维结构。然而,核酸普遍的碱基配对潜力也会导致其折叠过程中的动力学陷阱。也就是说,相同的DNA或RNA序列通常可以采用替代的碱基配对结构,这些结构是局部能量最小值,并且这些折叠可能相互转换得非常缓慢。我们使用核酸折叠算法进行模拟,以评估错误折叠对体外选择实验的影响。我们证明,动力学陷阱可通过两种机制阻止新型复杂功能基序家族的回收。首先,错误折叠可导致第一轮选择中独特序列的随机丢失。其次,频繁的错误折叠可将序列多个拷贝的平均活性降低到一定程度,以至于在多轮选择后它将被淘汰。在这些模拟中,在选择自我修饰催化活性期间添加热循环以对一个序列的多个折叠进行采样,可以提高更复杂结构的罕见实例的回收率。尽管新分离的序列可能折叠不佳,但它们可以代表序列空间中的立足点,经过几次突变后可以改进以可靠折叠。因此,昼夜循环或原始地球上的其他机制进行的热循环对于第一批RNA催化剂的进化可能很重要,并且折叠采样策略可用于今天在实验室中寻找更有效的核酸催化剂。

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