Mecânica estatística de evolução convergente em padronização espacial

Statistical mechanics of convergent evolution in spatial patterning

Bhavin S. Khatria,b,1, Tom C. B. McLeishc,d and Richard P. Seara

+Author Affiliations

aDepartment of Physics, University of Surrey, Guildford GU2 7XH, United Kingdom;

cSchool of Physics, University of Edinburgh, Edinburgh EH9 3JZ, United Kingdom;

bSchool of Physics and Astronomy, University of Leeds, Leeds LS2 9JT, United Kingdom; and

dDepartments of Physics and Chemistry, Durham University, Durham DH1 3HP, United Kingdom

Edited by José N. Onuchic, University of California at San Diego, La Jolla, CA, and approved April 24, 2009 (received for review December 3, 2008)

Abstract

We explore how the genotype–phenotype map determines convergent evolution in a simple model of spatial gene regulation during development. Evolution is simulated via a Monte Carlo scheme that incorporates mutation, selection, and genetic drift, by using a bottom-up model of gene regulation with a fitness function that is optimized by a switch-like response to a morphogen gradient. We find that even for very simple regulation, the genotype–phenotype map gives rise to an emergent fitness landscape of remarkable complexity. This leads to a richness of evolutionary behavior as population size is increased that parallels the thermodynamics of physical systems as temperature decreases. Convergence is controlled by the existence of sufficiently dominant global optima in “free fitness,” which is a quantity that is the balance of mutational entropy and fitness. In independent simulations at low population sizes, we find convergence to a phenotype of suboptimal fitness due to the multiplicity or entropy of solutions. This contrasts with convergence to the optimal fitness phenotype at high population size. However, at sufficiently large population sizes, we find convergence in only the phenotypes with greatest effect on fitness, whereas noncritical phenotypes exhibit divergence due to quenched disorder on a locally rough landscape. Our results predict that for large populations, the evolution of even simple gene regulatory circuits may be glassy-like, such that, counter to the commonly accepted view that conservation implies function, many conserved phenotypes are simply frozen accidents of little consequence to the fitness of the organism.

fitness landscapes gene regulation genotype–phenotype map mutational entropy population genetics

Footnotes

1To whom correspondence should be addressed. E-mail: bhavin.khatri@physics.org

Author contributions: B.S.K., T.C.B.M., and R.P.S. designed research; B.S.K. performed research; and B.S.K., T.C.B.M., and R.P.S. wrote the paper.

The authors declare no conflict of interest.

This article is a PNAS Direct Submission.

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