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Walter Fontana


Earlier research

Formalization and emergence of functional organization

The formal structure of evolutionary theory is based upon the dynamics of (populations of) “individuals.” It therefore assumes the entities whose existence it is supposed to explain. At the heart of the existence problem is determining how biological organizations arise in ontogeny and in phylogeny. The research theme we called Algorithmic Chemistry (AlChemy) was an attempt at constructing a formal framework for thinking about molecular organization through an abstraction of chemistry.  Our stance was to view molecules as rules of transformation and to exploit a mathematical theory of functions (lambda-calculus) to represent abstract “molecules” that act upon one another generating new molecules, that is, rules of transformation. Under suitable boundary conditions this model generates self-maintaining collectives of rules whose mutual transformations permit the continuous regeneration of these same rules.  The “organization” of such a system is specified by the relationships of transformation that enable self-maintenance, i.e. the algebraic structure of the system.  This framework permits to address the robustness of organizations with respect to the elimination of components (self-repair), the addition of components not belonging to the organization (constrained extension) and the merger of autonomous organizations into higher-order structures (integration).

Although this particular model has slipped into the background, its basic vision remains intact. I keep gravitating back to the question of how the theoretical foundations of computation can help us represent and reason about biological processes. Computation is organization and the classical theory of computation (Turing, Hilbert, Church, and others) is but a theory of one very specific form of organization. Other forms will be discovered.

Key collaborator:  Leo Buss (Yale)

selected papers:

  • W.Fontana and L.W.Buss, The Barrier of Objects: From Dynamical Systems to Bounded Organizations, in: Boundaries and Barriers, J.Casti and A.Karlqvist (eds.), pp.56–116, Addison-Wesley, 1996 [pdf]
  • W.Fontana and L.W.Buss, 'The Arrival of the Fittest': Toward a Theory of Biological Organization, Bull. Math. Biol., 56, 1-64 (1994) [pdf]
  • W.Fontana and L.W.Buss , What would be conserved if ‘the tape were played twice’?, Proc. Natl. Acad. Sci. USA, 91, 757–761 (1994) [pdf]


Genotype-phenotype mappings

The heritable modification of biological phenotypes occurs by mutation of the genotype. Accessing one phenotype from another is therefore an indirect process mediated by the mapping from genotype to phenotype (development). Evolutionary dynamics and innovation therefore depend on the statistical features of this mapping. I studied this mapping at the level of a single type of molecule: RNA. An RNA molecule is a sequence (genotype) that folds into a shape (phenotype). The statistical analysis of RNA folding has produced insights that may generalize to more complex systems. The most consequential feature is the notion of a neutral network: a mutationally connected set of sequences folding into the same shape and spanning a web through sequence space. Neutral networks allow populations to drift across genotype space without losing their current phenotype. In this way, populations can access many more novel phenotypes than if they were confined to a small region of genetic space. Neutral networks dispel the dichotomy of robustness versus evolvability by demonstrating that robustness enables change. Prompted by this line of work, researchers at MIT’s Whitehead Institute discovered neutral networks in RNA test tube experiments (Schultes and Bartel, Science, 289, 448-452, 2000). The adjacency of neutral networks can be used to define a notion of phenotype space based on the accessibility of phenotypes through genetic mutation rather than phenotypic similarity. Other concepts that emerged from this line of research are shape space covering (that all frequent shapes occur within a relatively small neighborhood of any random sequence) and plasto-genetic congruence (that the genetic variability of a shape on a given sequence correlates with the alternative structures accessible by thermal fluctuations). Plasto-genetic congruence suggests a trade-off between genetic robustness and phenotypic plasticity.

Key collaborators: Peter Schuster (Vienna), Peter Stadler (Vienna), Lauren Ancel-Meyers (Austin)

selected papers:


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