Enhancement of Prebiotic Peptide Formation in Cyclic Environments.

The dynamic behaviors of prebiotic reaction networks may be critically important to understanding how larger biopolymers could emerge, despite being unfavorable to form in water. We focus on understanding the dynamics of simple systems, prior to the emergence of replication mechanisms, and what role they may have played in biopolymer formation. We specifically consider the dynamics in cyclic environments using both model and experimental data. Cyclic environmental conditions prevent a system from reaching thermodynamic equilibrium, improving the chance of observing interesting kinetic behaviors. We used an approximate kinetic model to simulate the dynamics of trimetaphosphate (TP)-activated peptide formation from glycine in cyclic wet-dry conditions. The model predicts that environmental cycling allows trimer and tetramer peptides to sustain concentrations above the predicted fixed points of the model due to overshoot, a dynamic phenomenon. Our experiments demonstrate that oscillatory environments can shift product distributions in favor of longer peptides. However, experimental validation of certain behaviors in the kinetic model is challenging, considering that open systems with cyclic environmental conditions break many of the common assumptions in classical chemical kinetics. Overall, our results suggest that the dynamics of simple peptide reaction networks in cyclic environments may have been important for the formation of longer polymers on the early Earth. Similar phenomena may have also contributed to the emergence of reaction networks with product distributions determined not by thermodynamics, but rather by kinetics.

Kinetic Modeling and Parameter Estimation of a Prebiotic Peptide Reaction Network.

Although our understanding of how life emerged on Earth from simple organic precursors is speculative, early precursors likely included amino acids. The polymerization of amino acids into peptides and interactions between peptides are of interest because peptides and proteins participate in complex interaction networks in extant biology. However, peptide reaction networks can be challenging to study because of the potential for multiple species and systems-level interactions between species. We developed and employed a computational network model to describe reactions between amino acids to form di-, tri-, and tetra-peptides. Our experiments were initiated with two of the simplest amino acids, glycine and alanine, mediated by trimetaphosphate-activation and drying to promote peptide bond formation. The parameter estimates for bond formation and hydrolysis reactions in the system were found to be poorly constrained due to a network property known as sloppiness. In a sloppy model, the behavior mostly depends on only a subset of parameter combinations, but there is no straightforward way to determine which parameters should be included or excluded. Despite our inability to determine the exact values of specific kinetic parameters, we could make reasonably accurate predictions of model behavior. In short, our modeling has highlighted challenges and opportunities toward understanding the behaviors of complex prebiotic chemical experiments.

Glycine to Oligoglycine via Sequential Trimetaphosphate Activation Steps in Drying Environments.

Polyphosphate-mediated peptide bond formation is central to protein synthesis in modern organisms, but a simpler form of activation likely preceded the emergence of proteins and RNA. One suggested scenario involves trimetaphosphate (TP), an inorganic phosphate that promotes peptide condensation. Peptide bond formation can also be promoted by high pH and drying, but the interaction of these factors with TP has yet to be characterized kinetically. We studied the formation of glycine oligomers formed under initially alkaline conditions in the presence of TP during the process of drying. Oligopeptide products sampled over 24 h were analyzed by functionalization and high-performance liquid chromatography with ultraviolet absorption (UV-HPLC). As they dried, two different pH-dependent mechanisms dominated during different stages of the process. The first mechanism occurs in alkaline solutions and activates monomer amino acids to form dimers while reducing the pH. Our results then become consistent with a second mechanism that proceeds at neutral pH and consumes dimers to form longer products. The possibility that a series of reactions might occur where the first reaction changes the environment to favor the second, and so on, may have broader implications for prebiotic polymerization. Studying how the environment changes during time-varying conditions, like drying, could help us understand how organic polymers formed during the origin of life.