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组成性遗传的分子根源。

The molecular roots of compositional inheritance.

作者信息

Segré D, Shenhav B, Kafri R, Lancet D

机构信息

Department of Molecular Genetics and The Crown Genome Center, The Weizmann Institute of Science, Rehovot, 76100, Israel.

出版信息

J Theor Biol. 2001 Dec 7;213(3):481-91. doi: 10.1006/jtbi.2001.2440.

Abstract

Non-covalent compositional assemblies, made of monomeric mutually catalytic molecules, constitute an alternative to alphabet-based informational biopolymers as a mechanism of primordial inheritance. Such assemblies appear implicitly in many "Metabolism First" origin of life scenarios, and more explicitly in the Graded Autocatalysis Replication Domain (GARD) model [Segréet al. (2000). Proc. Natl Acad. Sci. U.S.A.97, 4112-4117]. In the present work, we provide a detailed analysis of the quantitative molecular roots of such behavior. It is demonstrated that the fidelity of reproduction provided by a newly defined heritability measure eta(*)(s), strongly depends on the values of molecular recognition parameters and on assembly size. We find that if the catalytic rate acceleration coefficients are distributed normally, transfer of compositional information becomes impossible, due to frequent "compositional error catastrophes". In contrast, if the catalytic acceleration rates obey a lognormal distribution, as actually predicted by a statistical formalism for molecular repertoires, high reproduction fidelity is obtained. There is also a clear dependence on assembly size N, whereby maximal eta is seen in a narrow range around N approximately 3.5 N(G)/lambda, where N(G)is the size of the primordial molecular repertoire and lambda is a molecular interaction statistical parameter. Such relationships help define the physicochemical conditions that could underlie the early steps in pre-biotic evolution.

摘要

由单体相互催化分子构成的非共价组成组装体,作为一种原始遗传机制,是基于字母的信息生物聚合物的一种替代方案。这种组装体在许多“代谢优先”的生命起源情景中隐含出现,在分级自催化复制域(GARD)模型中则更为明确[塞格雷等人(2000年)。《美国国家科学院院刊》97,4112 - 4117]。在本工作中,我们对这种行为的定量分子根源进行了详细分析。结果表明,新定义的遗传力度量η*(s)所提供的复制保真度,强烈依赖于分子识别参数的值和组装体大小。我们发现,如果催化速率加速系数呈正态分布,由于频繁出现“组成错误灾难”,组成信息的传递将变得不可能。相反,如果催化加速速率服从对数正态分布,正如分子库的统计形式所实际预测的那样,就会获得高复制保真度。对组装体大小N也有明显的依赖性,在N约为3.5N(G)/λ的狭窄范围内可看到最大的η,其中N(G)是原始分子库的大小,λ是分子相互作用统计参数。这些关系有助于确定可能构成前生物进化早期步骤基础的物理化学条件。

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