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Biomedical subjects

P R Campos

Publications and source records attributed to P R Campos.

2 recordsLinked to original sources

Group selection models in prebiotic evolution.

The evolution of enzyme production is studied analytically using ideas of the group selection theory for the evolution of altruistic behavior. In particular, we argue that the mathematical formulation of Wilson's structured deme model [The Evolution of Populations and Communities (Benjamin-Cumings, Menlo Park, 1980)] is a mean-field approach in which the actual environment that a particular individual experiences is replaced by an average environment. That formalism is further developed so as to avoid the mean-field approximation and then applied to the problem of enzyme production in the prebiotic context, where the enzyme producer molecules play the altruists role while the molecules that benefit from the catalyst without paying its production cost play the nonaltruists role. The effects of synergism (i.e., division of labor) as well as of mutations are also considered and the results of the equilibrium analysis are summarized in phase diagrams showing the regions of the space of parameters where the altruistic, nonaltruistic, and the coexistence regimes are stable. In general, those regions are delimitated by discontinuous transition lines which end at critical points.

Enzymes↗

Error propagation in the hypercycle.

We study analytically the steady-state regime of a network of n error-prone self-replicating templates forming an asymmetric hypercycle and its error tail. We show that the existence of a master template with a higher noncatalyzed self-replicative productivity a than the error tail ensures the stability of chains in which m < n-1 templates coexist with the master species. The stability of these chains against the error tail is guaranteed for catalytic coupling strengths K on the order of a. We find that the hypercycle becomes more stable than the chains only if K is on the order of a2. Furthermore, we show that the minimal replication accuracy per template needed to maintain the hypercycle, the so-called error threshold, vanishes as square root of n/K for large K and N < or = 4.

DNA Replication↗