Information and fitness

TL;DR

This paper explores how organisms' internal states must encode a minimum amount of information about external conditions to optimize growth, linking biological efficiency to information theory.

Contribution

It introduces an information-theoretic framework to quantify the minimal information required for optimal growth in organisms, connecting biological regulation with efficiency.

Findings

Minimum information needed for growth is close to maximum biologically feasible information.

Evolution favors cellular mechanisms that efficiently encode environmental information.

Applicable primarily to unicellular organisms, with implications for higher organisms.

Abstract

The growth rate of organisms depends both on external conditions and on internal states, such as the expression levels of various genes. We show that to achieve a criterion mean growth rate over an ensemble of conditions, the internal variables must carry a minimum number of bits of information about those conditions. Evolutionary competition thus can select for cellular mechanisms that are more efficient in an abstract, information theoretic sense. Estimates based on recent experiments suggest that the minimum information required for reasonable growth rates is close to the maximum information that can be conveyed through biologically realistic regulatory mechanisms. These ideas are applicable most directly to unicellular organisms, but there are analogies to problems in higher organisms, and we suggest new experiments for both cases.