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Evolution and Molecules Basic questions of biology seen with - PowerPoint PPT Presentation

Evolution and Molecules Basic questions of biology seen with phsicists eyes. Peter Schuster Institut fr Theoretische Chemie, Universitt Wien, sterreich und The Santa Fe Institute, Santa Fe, New Mexico, USA 401. Wilhelm and Else


  1. GGCUAUCGUACGUUUACCCAAAAGUCUACGUUGGACCCAGGCAUUGGACG G G A U C U G A C CC C A GG G G C U UGGA A U C UACG U G U C A G U AAG UC U A U C C C AA One error neighborhood – Surrounding of an RNA molecule in sequence and shape space

  2. G GGCUAUCGUACGUUUACCC AAAGUCUACGUUGGACCCAGGCAUUGGACG GGCUAUCGUACGUUUACCCAAAAGUCUACGUUGGACCCAGGCAUUGGACG G G A U C U G A C CC C A GG G U G U G C A U A C G U A A A A G G C U A C U A C G U U C G U A C A G A C A G C G G C G U A G U G U A C G U C A A U C U A C G G C A C G U G G A C A G G C U G U U A G C U UGGA A U C UACG U G U C A G U AAG UC U A U C C C AA One error neighborhood – Surrounding of an RNA molecule in sequence and shape space

  3. U C A G U G C G G U A C C G A U G U G U U U A A C C C G G A C C G C A AA G C A U G C G U U U A C G G GGCUAUCGUACGUUUACCC AAAGUCUACGUUGGACCCAGGCAUUGGACG GGCUAUCGUACGUUUACCCAAAAGUCUACGUUGGACCCAGGCAUUGGACG G G A U C U G A C G CC C A GG G C U UGGA A U C UACG U G U C A G U AAG UC U A U C C C AA One error neighborhood – Surrounding of an RNA molecule in sequence and shape space

  4. U C A A G G C U U C G U C C C C A G G G A G G G G U A C C G G A C UGG U U G U U G A U U U U A A C C UACG U G C C G U G A C A C C G G C A U AAG UC AA G C U A A U U C G C G U C U C AA U A C G U G GGCUAUCGUACGUUUACCCAAAAGUCUACGUUGG CCCAGGCAUUGGACG GGCUAUCGUACGUUUACCC AAAGUCUACGUUGGACCCAGGCAUUGGACG GGCUAUCGUACGUUUACCCAAAAGUCUACGUUGGACCCAGGCAUUGGACG G G A U C U G A C G CC C A GG G C U UGGA A U C UACG U G U C A G U AAG UC U A U C C C AA One error neighborhood – Surrounding of an RNA molecule in sequence and shape space

  5. U C A A G G C U U C G U C C C C A G G G A G G G G U A C C G G A C UGG U U G U U G A U U U U A A C C UACG U G C C G U G A C A C C G G C A U AAG UC AA G C U A A U U C G C G U C U C AA U A C G U G GGCUAUCGUACGUUUACCCAAAAGUCUACGUUGG CCCAGGCAUUGGACG GGCUAUCGUACGUUUACCC AAAGUCUACGUUGGACCCAGGCAUUGGACG GGCUAUCGUACGUUUACCCAAAAGUCUACGUUGGACCCAGGCAUUGGACG G G A U C U G A C C G CC C A GG GGCUAUCGUACGUUUACCCAAAAGUCUACGUUGGACCCAGGCA UGGACG G C U UGGA A U C UACG U G U C A A G C C U U AAG UC C C C AG G G A G U G A U G C G C C C AA C UGG A U A U C UACG U G U C A G U AAG UC U A U C C C AA One error neighborhood – Surrounding of an RNA molecule in sequence and shape space

  6. U C A A G G C U U C G U C C C C A G G G A G G G G U A C C G G A C UGG U U G U U G A U U U U A A C C UACG U G C C G U G A C A C C G G C A U AAG UC AA G C U A A U U C G C G U C U C AA U A C G U G GGCUAUCGUACGUUUACCCAAAAGUCUACGUUGG CCCAGGCAUUGGACG GGCUAUCGUACGUUUACCC AAAGUCUACGUUGGACCCAGGCAUUGGACG GGCUAUCGUACGUUUACCCAAAAGUCUACGUUGGACCCAGGCAUUGGACG G G A U C U G A C C G G CC C A GG GGCUAUCGUACGUUUACCCAAAAGUCUACGUUGGACCCAGGCA UGGACG GGCUAUCGUACGU UACCCAAAAGUCUACGUUGGACCCAGGCAUUGGACG G C U UGGA A U A C G C G UACG U G G U C A U A G G C C A U C G U U AAG UC C C C AG G G A G U C G A U G G C U G G A C C C AA A C UGG A U C A U U ACC C C G UACG U G G U U G C A A G U U C U AAG UC G G U A C U U C A G C C AA U U A U C C C G C A A A A One error neighborhood – Surrounding of an RNA molecule in sequence and shape space

  7. GGCUAUCGUA U GUUUACCCAAAAGUCUACGUUGGACCCAGGCAUUGGACG GGCUAUCGUACGUUUACCCAAAAGUCUACGUUGGACCCAGGCAUU A GACG GGCUAUCGUACGUUUAC U CAAAAGUCUACGUUGGACCCAGGCAUUGGACG GGCUAUCGUACG C UUACCCAAAAGUCUACGUUGGACCCAGGCAUUGGACG GGC C AUCGUACGUUUACCCAAAAGUCUACGUUGGACCCAGGCAUUGGACG GGCUAUCGUACGUUUACCCAAAAGUCUACGUUGGACCCAGGCAUUGGACG GGCUAUCGUACGU G UACCCAAAAGUCUACGUUGGACCCAGGCAUUGGACG GGCUA A CGUACGUUUACCCAAAAGUCUACGUUGGACCCAGGCAUUGGACG GGCUAUCGUACGUUUACCCAAAAGUCUACGUUGGACCC U GGCAUUGGACG GGCUAUCGUACGUUUACCCAAAAGUCUACGUUGGACCCAGGCA C UGGACG G G A U GGCUAUCGUACGUUUACCCAAAAGUCUACGUUGG U CCCAGGCAUUGGACG C U GGCUA G CGUACGUUUACCCAAAAGUCUACGUUGGACCCAGGCAUUGGACG G A GGCUAUCGUACGUUUACCC G AAAGUCUACGUUGGACCCAGGCAUUGGACG C G CC C A GG GGCUAUCGUACGUUUACCCAAAAG C CUACGUUGGACCCAGGCAUUGGACG G C U UGGA A U C UACG U G U C A G U AAG UC U A U C C C AA One error neighborhood – Surrounding of an RNA molecule in sequence and shape space

  8. Number Mean Value Variance Std.Dev. Total Hamming Distance: 150000 11.647973 23.140715 4.810480 Nonzero Hamming Distance: 99875 16.949991 30.757651 5.545958 Degree of Neutrality: 50125 0.334167 0.006961 0.083434 Number of Structures: 1000 52.31 85.30 9.24 1 (((((.((((..(((......)))..)))).))).))............. 50125 0.334167 2 ..(((.((((..(((......)))..)))).)))................ 2856 0.019040 3 ((((((((((..(((......)))..)))))))).))............. 2799 0.018660 4 (((((.((((..((((....))))..)))).))).))............. 2417 0.016113 5 (((((.((((.((((......)))).)))).))).))............. 2265 0.015100 6 (((((.(((((.(((......))).))))).))).))............. 2233 0.014887 7 (((((..(((..(((......)))..)))..))).))............. 1442 0.009613 8 (((((.((((..((........))..)))).))).))............. 1081 0.007207 9 ((((..((((..(((......)))..))))..)).))............. 1025 0.006833 10 (((((.((((..(((......)))..)))).))))).............. 1003 0.006687 11 .((((.((((..(((......)))..)))).))))............... 963 0.006420 12 (((((.(((...(((......)))...))).))).))............. 860 0.005733 13 (((((.((((..(((......)))..)))).)).)))............. 800 0.005333 14 (((((.((((...((......))...)))).))).))............. 548 0.003653 15 (((((.((((................)))).))).))............. 362 0.002413 16 ((.((.((((..(((......)))..)))).))..))............. 337 0.002247 G G A U 17 (.(((.((((..(((......)))..)))).))).).............. 241 0.001607 C U 18 (((((.(((((((((......))))))))).))).))............. 231 0.001540 G A 19 ((((..((((..(((......)))..))))...))))............. 225 0.001500 C G CC C A GG 20 ((....((((..(((......)))..)))).....))............. 202 0.001347 G C U UGGA A U C UACG U G U C A G U AAG UC U A U C Shadow – Surrounding of an RNA structure in shape space – AUGC alphabet C C AA

  9. 1. Replication and mutation 2. Quasispecies and error thresholds 3. Fitness landscapes and randomization 4. Lethal mutations 5. Ruggedness of natural landscapes 6. Simulation of stochastic phenomena 7. Biology in its full complexity

  10. Structure of Phenylalanyl-tRNA as andomly chosen target structure initial sequence

  11. Evolution in silico W. Fontana, P. Schuster, Science 280 (1998), 1451-1455

  12. Evolution of RNA molecules as a Markow process and its analysis by means of the relay series

  13. Evolution of RNA molecules as a Markow process and its analysis by means of the relay series

  14. Evolution of RNA molecules as a Markow process and its analysis by means of the relay series

  15. Evolution of RNA molecules as a Markow process and its analysis by means of the relay series

  16. Evolution of RNA molecules as a Markow process and its analysis by means of the relay series

  17. Evolution of RNA molecules as a Markow process and its analysis by means of the relay series

  18. Evolution of RNA molecules as a Markow process and its analysis by means of the relay series

  19. Evolution of RNA molecules as a Markow process and its analysis by means of the relay series

  20. Evolution of RNA molecules as a Markow process and its analysis by means of the relay series

  21. Evolution of RNA molecules as a Markow process and its analysis by means of the relay series

  22. Evolution of RNA molecules as a Markow process and its analysis by means of the relay series

  23. Evolution of RNA molecules as a Markow process and its analysis by means of the relay series

  24. Evolution of RNA molecules as a Markow process and its analysis by means of the relay series

  25. Replication rate constant (Fitness) : f k = � / [ � + � d S (k) ] � d S (k) = d H (S k ,S � ) Selection pressure : The population size, N = # RNA moleucles, is determined by the flux: ≈ ± N ( t ) N N Mutation rate : p = 0.001 / Nucleotide � Replication The flow reactor as a device for studying the evolution of molecules in vitro and in silico .

  26. In silico optimization in the flow reactor: Evolutionary Trajectory

  27. 28 neutral point mutations during a long quasi-stationary epoch Transition inducing point mutations Neutral point mutations leave the change the molecular structure molecular structure unchanged Neutral genotype evolution during phenotypic stasis

  28. Randomly chosen initial structure Phenylalanyl-tRNA as target structure

  29. Evolutionary trajectory Spreading of the population on neutral networks Drift of the population center in sequence space

  30. Spreading and evolution of a population on a neutral network: t = 150

  31. Spreading and evolution of a population on a neutral network : t = 170

  32. Spreading and evolution of a population on a neutral network : t = 200

  33. Spreading and evolution of a population on a neutral network : t = 350

  34. Spreading and evolution of a population on a neutral network : t = 500

  35. Spreading and evolution of a population on a neutral network : t = 650

  36. Spreading and evolution of a population on a neutral network : t = 820

  37. Spreading and evolution of a population on a neutral network : t = 825

  38. Spreading and evolution of a population on a neutral network : t = 830

  39. Spreading and evolution of a population on a neutral network : t = 835

  40. Spreading and evolution of a population on a neutral network : t = 840

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