Protobiotic Systems Chemistry Analyzed by Molecular Dynamics

Systems chemistry has been a key component of origin of life research, invoking models of life’s inception based on evolving molecular networks. One such model is the graded autocatalysis replication domain (GARD) formalism embodied in a lipid world scenario, which offers rigorous computer simulation based on defined chemical kinetics equations. GARD suggests that the first pre-RNA life-like entities could have been homeostatically-growing assemblies of amphiphiles, undergoing compositional replication and mutations, as well as rudimentary selection and evolution. Recent progress in molecular dynamics has provided an experimental tool to study complex biological phenomena such as protein folding, ligand-receptor interactions, and micellar formation, growth, and fission. The detailed molecular definition of GARD and its inter-molecular catalytic interactions make it highly compatible with molecular dynamics analyses. We present a roadmap for simulating GARD’s kinetic and thermodynamic behavior using various molecular dynamics methodologies. We review different approaches for testing the validity of the GARD model by following micellar accretion and fission events and examining compositional changes over time. Near-future computational advances could provide empirical delineation for further system complexification, from simple compositional non-covalent assemblies towards more life-like protocellular entities with covalent chemistry that underlies metabolism and genetic encoding.

Protobiotic Systems Chemistry Analyzed by Molecular Dynamics

Systems Chemistry has been a key component of origin of life research, invoking models of life’s inception based on evolving molecular networks. One such model is the Graded Autocatalysis Replication Domain (GARD) formalism embodied in a Lipid World scenario, which offers rigorous computer simulation based on defined chemical kinetics equations. GARD suggests that the first pre-RNA life-like entities could have been homeostatically-growing assemblies of amphiphiles, undergoing compositional replication and mutations, as well as rudimentary selection and evolution. Recent progress in Molecular Dynamics has provided an experimental tool to study complex biological phenomena such as protein folding, ligand-receptor interactions and micellar formation, growth and fission. The detailed molecular definition of GARD and its inter-molecular catalytic interactions make it highly compatible with Molecular Dynamics analyses. We present a roadmap for simulating GARD’s kinetic and thermodynamic behavior using various Molecular Dynamics methodologies. We review different approaches for testing the validity of the GARD model, by following micellar accretion and fission events and examining compositional changes over time. Near future computational advances could provide empirical delineation for further system complexification, from simple compositional non-covalent assemblies towards more life-like protocellular entities with covalent chemistry that underlies metabolism and genetic encoding.

Systems protobiology: origin of life in lipid catalytic networks

Life is that which replicates and evolves, but there is no consensus on how life emerged. We advocate a systems protobiology view, whereby the first replicators were assemblies of spontaneously accreting, heterogeneous and mostly non-canonical amphiphiles. This view is substantiated by rigorous chemical kinetics simulations of the graded autocatalysis replication domain (GARD) model, based on the notion that the replication or reproduction of compositional information predated that of sequence information. GARD reveals the emergence of privileged non-equilibrium assemblies (composomes), which portray catalysis-based homeostatic (concentration-preserving) growth. Such a process, along with occasional assembly fission, embodies cell-like reproduction. GARD pre-RNA evolution is evidenced in the selection of different composomes within a sparse fitness landscape, in response to environmental chemical changes. These observations refute claims that GARD assemblies (or other mutually catalytic networks in the metabolism first scenario) cannot evolve. Composomes represent both a genotype and a selectable phenotype, anteceding present-day biology in which the two are mostly separated. Detailed GARD analyses show attractor-like transitions from random assemblies to self-organized composomes, with negative entropy change, thus establishing composomes as dissipative systems—hallmarks of life. We show a preliminary new version of our model, metabolic GARD (M-GARD), in which lipid covalent modifications are orchestrated by non-enzymatic lipid catalysts, themselves compositionally reproduced. M-GARD fills the gap of the lack of true metabolism in basic GARD, and is rewardingly supported by a published experimental instance of a lipid-based mutually catalytic network. Anticipating near-future far-reaching progress of molecular dynamics, M-GARD is slated to quantitatively depict elaborate protocells, with orchestrated reproduction of both lipid bilayer and lumenal content. Finally, a GARD analysis in a whole-planet context offers the potential for estimating the probability of life's emergence. The invigorated GARD scrutiny presented in this review enhances the validity of autocatalytic sets as a bona fide early evolution scenario and provides essential infrastructure for a paradigm shift towards a systems protobiology view of life's origin.

Modeling the closing behavior of a smart hydrogel micro-valve

Smart hydrogel micro-valves are essential components of micro-chemo-mechanical fluid systems. These valves are based on phase-changeable polymers. They can open and close micro-fluidic channels depending on the chemical concentration or the temperature in the fluid. A concept of finite element–based modeling in combination with network methods to simulate concentration-triggered, phase-changeable hydrogels is proposed. We introduce a temperature domain as a replication domain to substitute insufficiently implemented domains. With the used simulation tools, problems are highlighted and their solutions are presented. The computed parameters of such valves are included in a circuit representation, which is capable of efficiently computing large-scale micro-fluidic systems. These methods will help predict, visualize, and understand polymeric swelling behavior as well as the performance of large-scale chip applications before any complex experiment is performed.

PML plays both inimical and beneficial roles in HSV-1 replication

After entry into the nucleus, herpes simplex virus (HSV) DNA is coated with repressive proteins and becomes the site of assembly of nuclear domain 10 (ND10) bodies. These small (0.1–1 μM) nuclear structures contain both constant [e.g., promyelocytic leukemia protein (PML), Sp100, death-domain associated protein (Daxx), and so forth] and variable proteins, depending on the function of the cells or the stress to which they are exposed. The amounts of PML and the number of ND10 structures increase in cells exposed to IFN-β. On initiation of HSV-1 gene expression, ICP0, a viral E3 ligase, degrades both PML and Sp100. The earlier report that IFN-β is significantly more effective in blocking viral replication in murinePML+/+cells than in siblingPML−/−cells, reproduced here with human cells, suggests that PML acts as an effector of antiviral effects of IFN-β. To define more precisely the function of PML in HSV-1 replication, we constructed aPML−/−human cell line. We report that inPML−/−cells, Sp100 degradation is delayed, possibly because colocalization and merger of ICP0 with nuclear bodies containing Sp100 and Daxx is ineffective, and that HSV-1 replicates equally well in parental HEp-2 andPML−/−cells infected at 5 pfu wild-type virus per cell, but poorly inPML−/−cells exposed to 0.1 pfu per cell. Finally, ICP0 accumulation is reduced inPML−/−infected at low, but not high, multiplicities of infection. In essence, the very mechanism that serves to degrade an antiviral IFN-β effector is exploited by HSV-1 to establish an efficient replication domain in the nucleus.

Excess Mutual Catalysis Is Required for Effective Evolvability

It is widely accepted that autocatalysis constitutes a crucial facet of effective replication and evolution (e.g., in Eigen's hypercycle model). Other models for early evolution (e.g., by Dyson, Gánti, Varela, and Kauffman) invoke catalytic networks, where cross-catalysis is more apparent. A key question is how the balance between auto- (self-) and cross- (mutual) catalysis shapes the behavior of model evolving systems. This is investigated using the graded autocatalysis replication domain (GARD) model, previously shown to capture essential features of reproduction, mutation, and evolution in compositional molecular assemblies. We have performed numerical simulations of an ensemble of GARD networks, each with a different set of lognormally distributed catalytic values. We asked what is the influence of the catalytic content of such networks on beneficial evolution. Importantly, a clear trend was observed, wherein only networks with high mutual catalysis propensity (pmc) allowed for an augmented diversity of composomes, quasi-stationary compositions that exhibit high replication fidelity. We have reexamined a recent analysis that showed meager selection in a single GARD instance and for a few nonstationary target compositions. In contrast, when we focused here on compotypes (clusters of composomes) as targets for selection in populations of compositional assemblies, appreciable selection response was observed for a large portion of the networks simulated. Further, stronger selection response was seen for high pmc values. Our simulations thus demonstrate that GARD can help analyze important facets of evolving systems, and indicate that excess mutual catalysis over self-catalysis is likely to be important for the emergence of molecular systems capable of evolutionlike behavior.