Department of Cell Biology and Neuroscience, University of California, Riverside, USA.
Phys Biol. 2011 Dec;8(6):066001. doi: 10.1088/1478-3975/8/6/066001. Epub 2011 Sep 26.
We present a new embodiment of the graded autocatalysis replication domain (GARD) for the growth, replication and evolution of lipid vesicles based on a semi-empirical foundation using experimentally measured kinetic values of selected extant lipid species. Extensive simulations using this formalism elucidated the details of the dependence of the replication and properties of the vesicles on the physicochemical properties and concentrations of the lipids, both in the environment and in the vesicle. As expected, the overall concentration and number of amphiphilic components strongly affect average replication time. Furthermore, variations in acyl chain length and unsaturation of vesicles also influence replication rate, as do the relative concentrations of individual lipid types. Understanding of the dependence of replication rates on physicochemical parameters opens a new direction in the study of prebiotic vesicles and lays the groundwork for future studies involving the competition between lipid vesicles for available amphiphilic monomers.
我们提出了一个新的梯度自催化复制域（GARD）模型，用于基于半经验基础的脂质囊泡的生长、复制和进化，该模型使用了实验测量的选定现有脂质物种的动力学值。使用这种形式系统进行的广泛模拟阐明了复制和囊泡性质对环境中和囊泡中脂质的物理化学性质和浓度的依赖性的细节。正如预期的那样，总体浓度和两亲性成分的数量强烈影响平均复制时间。此外，囊泡的酰基链长度和不饱和度的变化也会影响复制速率，而各脂质类型的相对浓度也是如此。对复制速率对物理化学参数的依赖性的理解为研究前生物脂质囊泡开辟了一个新的方向，并为未来涉及可用两亲性单体的脂质囊泡之间竞争的研究奠定了基础。
