Literature DB >> 25843980

The fitness value of information.

Matina C Donaldson-Matasci1, Carl T Bergstrom2, Michael Lachmann3.   

Abstract

Communication and information are central concepts in evolutionary biology. In fact, it is hard to find an area of biology where these concepts are not used. However, quantifying the information transferred in biological interactions has been difficult. How much information is transferred when the first spring rainfall hits a dormant seed, or when a chick begs for food from its parent? One measure that is commonly used in such cases is fitness value: by how much, on average, an individual's fitness would increase if it behaved optimally with the new information, compared to its average fitness without the information. Another measure, often used to describe neural responses to sensory stimuli, is the mutual information-a measure of reduction in uncertainty, as introduced by Shannon in communication theory. However, mutual information has generally not been considered to be an appropriate measure for describing developmental or behavioral responses at the organismal level, because it is blind to function; it does not distinguish between relevant and irrelevant information. In this paper we show that there is in fact a surprisingly tight connection between these two measures in the important context of evolution in an uncertain environment. In this case, a useful measure of fitness benefit is the increase in the long-term growth rate, or the fold increase in number of surviving lineages. We show that in many cases the fitness value of a developmental cue, when measured this way, is exactly equal to the reduction in uncertainty about the environment, as described by the mutual information.

Entities:  

Year:  2010        PMID: 25843980      PMCID: PMC4384894          DOI: 10.1111/j.1600-0706.2009.17781.x

Source DB:  PubMed          Journal:  Oikos        ISSN: 0030-1299            Impact factor:   3.903


  15 in total

Review 1.  Information theory and neural coding.

Authors:  A Borst; F E Theunissen
Journal:  Nat Neurosci       Date:  1999-11       Impact factor: 24.884

2.  The 1999 Crafoord Prize Lectures. The idea of information in biology.

Authors:  J Maynard Smith
Journal:  Q Rev Biol       Date:  1999-12       Impact factor: 4.875

3.  The disadvantage of combinatorial communication.

Authors:  Michael Lachmann; Carl T Bergstrom
Journal:  Proc Biol Sci       Date:  2004-11-22       Impact factor: 5.349

4.  Phenotypic diversity, population growth, and information in fluctuating environments.

Authors:  Edo Kussell; Stanislas Leibler
Journal:  Science       Date:  2005-08-25       Impact factor: 47.728

5.  Seed Germination in Desert Annuals: An Empirical Test of Adaptive Bet Hedging.

Authors:  M J Clauss; D L Venable
Journal:  Am Nat       Date:  2000-02       Impact factor: 3.926

6.  On population growth in a randomly varying environment.

Authors:  R C Lewontin; D Cohen
Journal:  Proc Natl Acad Sci U S A       Date:  1969-04       Impact factor: 11.205

7.  Adaptive "coin-flipping": a decision-theoretic examination of natural selection for random individual variation.

Authors:  W S Cooper; R H Kaplan
Journal:  J Theor Biol       Date:  1982-01-07       Impact factor: 2.691

8.  Optimizing reproduction in a randomly varying environment when a correlation may exist between the conditions at the time a choice has to be made and the subsequent outcome.

Authors:  D Cohen
Journal:  J Theor Biol       Date:  1967-07       Impact factor: 2.691

9.  Optimizing reproduction in a randomly varying environment.

Authors:  D Cohen
Journal:  J Theor Biol       Date:  1966-09       Impact factor: 2.691

10.  Dynamics of production of sexual forms in aphids: theoretical and experimental evidence for adaptive "coin-flipping" plasticity.

Authors:  Fabien Halkett; Richard Harrington; Maurice Hullé; Pavel Kindlmann; Frédéric Menu; Claude Rispe; Manuel Plantegenest
Journal:  Am Nat       Date:  2004-05-03       Impact factor: 3.926

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  31 in total

1.  Dissecting the smell of fear from conspecific and heterospecific prey: investigating the processes that induce anti-predator defenses.

Authors:  Heather M Shaffery; Rick A Relyea
Journal:  Oecologia       Date:  2015-09-12       Impact factor: 3.225

2.  The evolution of sensitive periods in a model of incremental development.

Authors:  Karthik Panchanathan; Willem E Frankenhuis
Journal:  Proc Biol Sci       Date:  2016-01-27       Impact factor: 5.349

3.  Balancing sampling and specialization: an adaptationist model of incremental development.

Authors:  Willem E Frankenhuis; Karthik Panchanathan
Journal:  Proc Biol Sci       Date:  2011-04-13       Impact factor: 5.349

4.  Exclusion rules, bottlenecks and the evolution of stochastic phenotype switching.

Authors:  Eric Libby; Paul B Rainey
Journal:  Proc Biol Sci       Date:  2011-04-13       Impact factor: 5.349

5.  Semantic information, autonomous agency and non-equilibrium statistical physics.

Authors:  Artemy Kolchinsky; David H Wolpert
Journal:  Interface Focus       Date:  2018-10-19       Impact factor: 3.906

6.  Noise and information transmission in promoters with multiple internal States.

Authors:  Georg Rieckh; Gašper Tkačik
Journal:  Biophys J       Date:  2014-03-04       Impact factor: 4.033

Review 7.  Biological information: why we need a good measure and the challenges ahead.

Authors:  Minus van Baalen
Journal:  Interface Focus       Date:  2013-12-06       Impact factor: 3.906

8.  Information theory, evolutionary innovations and evolvability.

Authors:  Andreas Wagner
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2017-12-05       Impact factor: 6.237

9.  Decomposing information into copying versus transformation.

Authors:  Artemy Kolchinsky; Bernat Corominas-Murtra
Journal:  J R Soc Interface       Date:  2020-01-22       Impact factor: 4.118

10.  Adaptive Bet-Hedging Revisited: Considerations of Risk and Time Horizon.

Authors:  Omri Tal; Tat Dat Tran
Journal:  Bull Math Biol       Date:  2020-04-04       Impact factor: 1.758

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