Shenhav Barak, Oz Aia, Lancet Doron
Department of Molecular Genetics and Crown Human Genome Centre, The Weizmann Institute of Science, Rehovot 76100, Israel.
Philos Trans R Soc Lond B Biol Sci. 2007 Oct 29;362(1486):1813-9. doi: 10.1098/rstb.2007.2073.
The coevolution of environment and living organisms is well known in nature. Here, it is suggested that similar processes can take place before the onset of life, where protocellular entities, rather than full-fledged living systems, coevolve along with their surroundings. Specifically, it is suggested that the chemical composition of the environment may have governed the chemical repertoire generated within molecular assemblies, compositional protocells, while compounds generated within these protocells altered the chemical composition of the environment. We present an extension of the graded autocatalysis replication domain (GARD) model--the environment exchange polymer GARD (EE-GARD) model. In the new model, molecules, which are formed in a protocellular assembly, may be exported to the environment that surrounds the protocell. Computer simulations of the model using an infinite-sized environment showed that EE-GARD assemblies may assume several distinct quasi-stationary compositions (composomes), similar to the observations in previous variants of the GARD model. A statistical analysis suggested that the repertoire of composomes manifested by the assemblies is independent of time. In simulations with a finite environment, this was not the case. Composomes, which were frequent in the early stages of the simulation disappeared, while others emerged. The change in the frequencies of composomes was found to be correlated with changes induced on the environment by the assembly. The EE-GARD model is the first GARD model to portray a possible time evolution of the composomes repertoire.
环境与生物有机体的共同进化在自然界中是众所周知的。在此,有人提出在生命出现之前可能会发生类似的过程,即原细胞实体而非成熟的生命系统与其周围环境共同进化。具体而言,有人提出环境的化学成分可能支配了分子聚集体(组成型原细胞)内产生的化学组成,而这些原细胞内产生的化合物则改变了环境的化学成分。我们提出了分级自催化复制域(GARD)模型的一个扩展——环境交换聚合物GARD(EE-GARD)模型。在新模型中,在原细胞聚集体中形成的分子可能会被输出到原细胞周围的环境中。使用无限大小环境对该模型进行的计算机模拟表明,EE-GARD聚集体可能呈现出几种不同的准稳态组成(组成体),这与之前GARD模型变体中的观察结果相似。统计分析表明,聚集体表现出的组成体组成与时间无关。在有限环境的模拟中,情况并非如此。在模拟早期频繁出现的组成体消失了,而其他组成体出现了。发现组成体频率的变化与聚集体对环境引起的变化相关。EE-GARD模型是第一个描绘组成体组成可能随时间演变的GARD模型。