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Some Mathematical Challenges from Life Sciences Part II Peter Schuster, Universität Wien Peter F.Stadler, Universität Leipzig Günter Wagner, Yale University,

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Presentation on theme: "Some Mathematical Challenges from Life Sciences Part II Peter Schuster, Universität Wien Peter F.Stadler, Universität Leipzig Günter Wagner, Yale University,"— Presentation transcript:

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2 Some Mathematical Challenges from Life Sciences Part II Peter Schuster, Universität Wien Peter F.Stadler, Universität Leipzig Günter Wagner, Yale University, New Haven, CT Angela Stevens, Max-Planck-Institut für Mathematik in den Naturwissenschaften, Leipzig and Ivo L. Hofacker, Universität Wien Oberwolfach, GE,

3 Web-Page for further information:

4 Mathematics and the life sciences in the 21st century
Selection dynamics RNA evolution in silico and optimization of structure and properties

5 Reactions in the continuously stirred tank reactor (CSTR)
A  B B  A Reactions in the continuously stirred tank reactor (CSTR)

6 Reversible first order reaction in the flow reactor

7 Autocatalytic second order and uncatalyzed reaction in the flow reactor

8 Autocatalytic third order and uncatalyzed reaction in the flow reactor

9 Pattern formation in autocatalytic third order reactions
G.Nicolis, I.Prigogine. Self-Organization in Nonequilibrium Systems. From Dissipative Structures to Order through Fluctuations. John Wiley, New York 1977

10 Autocatalytic second order reactions are the basis of selection processes.
The autocatalytic step is formally equivalent to replication or reproduction.

11 Replication in the flow reactor
P.Schuster & K.Sigmund, Dynamics of evolutionary optimization, Ber.Bunsenges.Phys.Chem. 89: (1985)

12 Selection in the flow reactor: Reversible replication reactions

13 Selection in the flow reactor: Irreversible replication reactions

14 Complementary replication as the simplest copying mechanism of RNA
Complementarity is determined by Watson-Crick base pairs: GC and A=U

15 Reproduction of organisms or replication of molecules as the basis of selection

16 Selection equation: [Ii] = xi  0 , fi > 0
Mean fitness or dilution flux,  (t), is a non-decreasing function of time, Solutions are obtained by integrating factor transformation

17 s = ( f2-f1) / f1; f2 > f1 ; x1(0) = 1 - 1/N ; x2(0) = 1/N
Selection of advantageous mutants in populations of N = individuals

18 Changes in RNA sequences originate from replication errors called mutations.
Mutations occur uncorrelated to their consequences in the selection process and are, therefore, commonly characterized as random elements of evolution.

19 The origins of changes in RNA sequences are replication errors called mutations.

20 Chemical kinetics of replication and mutation as parallel reactions

21 Single point mutations as moves in sequence space
City-block distance in sequence space 2D Sketch of sequence space Single point mutations as moves in sequence space

22 Mutation-selection equation: [Ii] = xi  0, fi > 0, Qij  0
Solutions are obtained after integrating factor transformation by means of an eigenvalue problem

23 The molecular quasispecies in sequence space

24 The quasispecies on the concentration simplex S3=

25 Quasispecies as a function of the replication accuracy q

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