Papers
Topics
Authors
Recent
Search
2000 character limit reached

The origin and early evolution of life in chemical complexity space

Published 3 Jan 2018 in q-bio.PE | (1801.01146v1)

Abstract: Life can be viewed as a localized chemical system that sits on, or in the basin of attraction of, a metastable dynamical attractor state that remains out of equilibrium with the environment. Such a view of life allows that new living states can arise through chance changes in local chemical concentration (=mutations) that move points in space into the basin of attraction of a life state - the attractor being an autocatalytic sets whose essential (=keystone) species are produced at a higher rate than they are lost to the environment by diffusion, such that growth in expected. This conception of life yields several new insights and conjectures. (1) This framework suggests that the first new life states to arise are likely at interfaces where the rate of diffusion of keystone species is tied to a low-diffusion regime, while precursors and waste products diffuse at a higher rate. (2) There are reasons to expect that once the first life state arises, most likely on a mineral surface, additional mutations will generate derived life states with which the original state will compete. (3) I propose that in the resulting adaptive process there is a general tendency for higher complexity life states (i.e., ones that are further from being at equilibrium with the environment) to dominate a given mineral surface. (4) The framework suggests a simple and predictable path by which cells evolve and provides pointers on why such cells are likely to acquire particulate inheritance. Overall, the dynamical systems theoretical framework developed provides an integrated view of the origin and early evolution of life and supports novel empirical approaches.

Authors (1)

Summary

No one has generated a summary of this paper yet.

Paper to Video (Beta)

No one has generated a video about this paper yet.

Whiteboard

No one has generated a whiteboard explanation for this paper yet.

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Continue Learning

We haven't generated follow-up questions for this paper yet.

Collections

Sign up for free to add this paper to one or more collections.