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病毒RNA包装的序列依赖性。

Sequence Dependence of Viral RNA Encapsidation.

作者信息

Kelly Joshua, Grosberg Alexander Y, Bruinsma Robijn

机构信息

Department of Physics and Astronomy, University of California , Los Angeles, California 90095, United States.

Department of Physics and Center for Soft Matter Research, New York University , New York, New York 10003, United States.

出版信息

J Phys Chem B. 2016 Jul 7;120(26):6038-50. doi: 10.1021/acs.jpcb.6b01964. Epub 2016 Jun 2.

Abstract

We develop a Flory mean-field theory for viral RNA (vRNA) molecules that extends the current RNA folding algorithms to include interactions between different sections of the secondary structure. The theory is applied to sequence-selective vRNA encapsidation. The dependence on sequence enters through a single parameter: the largest eigenvalue of the Kramers matrix of the branched polymer obtained by coarse graining the secondary structure. Differences between the work of encapsidation of vRNA molecules and of randomized isomers are found to be in the range of 20 kBT, more than sufficient to provide a strong bias in favor of vRNA encapsidation. The method is applied to a packaging competition experiment where large vRNA molecules compete for encapsidation with two smaller RNA species that together have the same nucleotide sequence as the large molecule. We encounter a substantial, generic free energy bias, that also is of the order of 20 kBT, in favor of encapsidating the single large RNA molecule. The bias is mainly the consequence of the fact that dividing up a large vRNA molecule involves the release of stored elastic energy. This provides an important, nonspecific mechanism for preferential encapsidation of single larger vRNA molecules over multiple smaller mRNA molecules with the same total number of nucleotides. The result is also consistent with recent RNA packaging competition experiments by Comas-Garcia et al.1 Finally, the Flory method leads to the result that when two RNA molecules are copackaged, they are expected to remain segregated inside the capsid.

摘要

我们为病毒RNA(vRNA)分子开发了一种弗洛里平均场理论,该理论扩展了当前的RNA折叠算法,以纳入二级结构不同部分之间的相互作用。该理论应用于序列选择性vRNA包装。对序列的依赖性通过一个单一参数进入:通过对二级结构进行粗粒化得到的支化聚合物的克莱默斯矩阵的最大特征值。发现vRNA分子与随机异构体的包装功之间的差异在20kBT范围内,这足以提供有利于vRNA包装的强烈偏向。该方法应用于一个包装竞争实验,其中大的vRNA分子与两种较小的RNA物种竞争包装,这两种较小的RNA物种合起来与大的vRNA分子具有相同的核苷酸序列。我们遇到了一个相当大的、普遍的自由能偏向,其量级也为20kBT,有利于将单个大的RNA分子包装起来。这种偏向主要是因为将一个大的vRNA分子分开涉及到储存的弹性能量的释放。这为单个较大的vRNA分子优先于具有相同核苷酸总数的多个较小的mRNA分子进行包装提供了一个重要的非特异性机制。该结果也与Comas-Garcia等人最近的RNA包装竞争实验一致。最后,弗洛里方法得出的结果是,当两个RNA分子被共同包装时,它们预计会在衣壳内保持分离。

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