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自然选择在自催化杂多聚物群体中的起始。

Onset of natural selection in populations of autocatalytic heteropolymers.

机构信息

Center for Functional Nanomaterials, Brookhaven National Laboratory, Upton, New York 11973, USA.

Department of Bioengineering, University of Illinois at Urbana-Champaign, 1270 Digital Computer Laboratory, MC-278, Urbana, Illinois 61801, USA.

出版信息

J Chem Phys. 2018 Oct 7;149(13):134901. doi: 10.1063/1.5048488.

Abstract

Reduction of information entropy along with ever-increasing complexity is among the key signatures of life. Understanding the onset of such behavior in the early prebiotic world is essential for solving the problem of the origin of life. Here we study a general problem of heteropolymers capable of template-assisted ligation based on Watson-Crick-like hybridization. The system is driven off-equilibrium by cyclic changes in the environment. We model the dynamics of 2-mers, i.e., sequential pairs of specific monomers within the heteropolymer population. While the possible number of them is (where is the number of monomer types), we observe that most of the 2-mers get extinct, leaving no more than 2 survivors. This leads to a dramatic reduction of the information entropy in the sequence space. Our numerical results are supported by a general mathematical analysis of the competition of growing polymers for constituent monomers. This natural-selection-like process ultimately results in a limited subset of polymer sequences. Importantly, the set of surviving sequences depends on initial concentrations of monomers and remains exponentially large (2 down from for length ) in each of realizations. Thus, an inhomogeneity in initial conditions allows for a massively parallel search of the sequence space for biologically functional polymers, such as ribozymes. We also propose potential experimental implementations of our model in the contexts of either biopolymers or artificial nano-structures.

摘要

信息熵的减少伴随着复杂性的不断增加,是生命的关键特征之一。理解这种行为在早期前生物世界中的出现,对于解决生命起源的问题至关重要。在这里,我们研究了一种基于沃森-克里克样杂交的模板辅助连接的杂聚物的一般问题。该系统通过环境的循环变化被驱动到非平衡状态。我们对 2 聚体的动力学进行建模,即杂聚物群体中特定单体的顺序对。虽然它们的可能数量是 (其中 是单体类型的数量),但我们观察到大多数 2 聚体都会灭绝,只剩下不超过 2 个幸存者。这导致序列空间中的信息熵急剧减少。我们的数值结果得到了对生长聚合物竞争组成单体的一般数学分析的支持。这种类似于自然选择的过程最终导致聚合物序列的有限子集。重要的是,存活序列的集合取决于单体的初始浓度,并且在每个实现中都保持指数级的大(从 减少到 长度)。因此,初始条件的不均匀性允许对具有生物功能的聚合物(如核酶)进行大规模并行的序列空间搜索。我们还提出了在生物聚合物或人工纳米结构的背景下实现我们模型的潜在实验方案。

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