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Games and cooperation Eörs Szathmáry Eötvös University Collegium Budapest.

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Presentation on theme: "Games and cooperation Eörs Szathmáry Eötvös University Collegium Budapest."— Presentation transcript:

1 Games and cooperation Eörs Szathmáry Eötvös University Collegium Budapest

2 Molecular hypercycle (Eigen, 1971) autocatalysis heterocatalytic aid

3 Parasites in the hypercycle (Maynard Smith, 1979) parasite short circuit

4 The stochastic corrector model for compartmentation Szathmáry, E. & Demeter L. (1987) Group selection of early replicators and the origin of life. J. theor Biol. 128, 463-486. Grey, D., Hutson, V. & Szathmáry, E. (1995) A re-examination of the stochastic corrector model. Proc. R. Soc. Lond. B 262, 29-35.

5 Group selection of early replicators Many more compartments than templates within any compartment No migration (fusion) between compartments Each compartment has only one parent Group selection is very efficient Selection for replication synchrony

6 Bubbles and permeability We do not know where lipids able to form membranes had come from!!!

7 A case study: defective interfering particles (DIPs) DIP is a hyperparasite of the standard virus (SV) Gains a replicative advantage when complemented Usually shorter molecule Would be the winner in a well-mixed flow reactor No chance to fix in structured populations

8 A trait-group model for viruses

9 DI: V game Payoff matrix for two players VDI V2aa DIb0 There is protected polymorphism when b > 2a

10 Another rendering of the DIV game

11 Chicken and Hawk-Dove games SwerveStraight SwerveTie, TieLose, Win StraightWin, LoseCrash, Crash HawkDove Hawk(V-C)/2, (V-C)/2V, 0 Dove0, VV/2, V/2 In the biological literature, this game is referred to as Hawk-Dove. The earliest presentation of a form of the Hawk-Dove game was by John Maynard Smith and George Price in their 1973 Nature paper, "The logic of animal conflict". The traditional payoff matrix for the Hawk-Dove game is given here, where V is the value of the contested resource, and C is the cost of an escalated fight. It is (almost always) assumed that the value of the resource is less than the cost of a fight is, i.e., C > V > 0. If C ≤ V, the resulting game is not a game of Chicken.

12 Evolutionarily Stable Strategy (ESS) HawkDove Hawk-1/21 Dove01/2 V=1, C=2 An invader plays hawk with probability P and dove with probability 1 – P; and the residents play hawk and dove with equal probability. So, the four possible outcomes when a resident meets an invader have probabilities: If an invader plays Hawk (P=1) or Dove (P=0), the payoff to the invader is ¼ in both cases

13 ESS II. Multiplying these by the payoffs for each of the four cases, we find that when a resident meets an invader, it wins the following payoff on average: Payoff invader against invader: Because this is never greater than the payoff to a resident, no strategy can invade: The resident strategy P = 1/2 is therefore an ESS.

14 Evolutionary Stability in the Hawk-Dove game The expected payoff for different kinds of contests in the hawk– dove game, when the resident population is at the evolutionarily stable strategy (ESS) (P = 0.5, where P is the probability that an individual plays hawk rather than dove).

15 The ESS, verbally The ESS is the best reply to itself (Nash equilibrium) If there is an alternative best reply, then the reply of the ESS to the invader must be better than the invader’r reply to itself (stability condition)

16 Nature 420, 360-363 (2002). Kin selection of molecules on the rocks

17 Maximum as a function of molecule length Target and replicase efficiency Copying fidelity Trade-off among all three traits: worst case

18 Evolution of replicases on the rocks All functions coevolve and improve despite the tradeoffs Increased diffusion destroys the system Kin selection on the rocks

19 Hamilton’s rule b r > c b: help given to recipient r: degree of genetic relatedness between altruist and recipient c: price to altruist in terms of fitness Formula valid for INVASION and MAINTENANCE APPLIES TO THE FRATERNAL TRANSITIONS!!!

20 Evolving population Error rate Replicase activity

21 A cellular automaton simulation Reaction: template replication Diffusion (Toffoli- Margolus algorithm) Black: empty site X: potential mothers

22 Strong and weak altruism Strong altruist pays an absolute cost Weak altruist pays a relative cost (it increases its own fitness less than that of the others) Weak altruist can spread with random group assortment Strong altruism requires nonrandom group assortment (kin selection)

23 ‘Stationary’ population parasites efficient replicases

24 Slime mould fruiting body

25 Slime mold sexual reproduction

26 One amoeboid cells

27 Slime mould aggregation Amoebas assemble around one focus Amoeboid shape changes into bipolar

28 Propagation of cAMP signal Focal cell releases a dose of cAMP and then becomes inactive for a while Surrounding cells move towards higher cAMP and they release cAMP also

29 Formation of Dictyostelium fruiting body In the slug pre-stalk cells go first Finally, pre-spores make it to the top

30 Cheaters in myxobacteria (Lenski & Velicer, 2000) P developmentally proficient C cheater (goes to stalk)

31 Facultative cheaters Many cheaters are cheating only on the wild type They cooperate among themselves Conflict selects for measures and countermeasures Drives fast molecular evolution Similar to hybrid dysgenesis

32 Public goods and E. coli We constructed two Escherichia coli strains that recapitulate the interaction of producers and nonproducers. The common good in this system is a membrane- permeable Rhl autoinducer molecule, rewired to activate antibiotic (chloramphenicol; Cm) resistance gene expression. Otherwise isogenic, green fluorescent protein (GFP)–marked producers synthesize the Rhl autoinducer constitutively, whereas nonfluorescent nonproducers do not. The system exhibited the expected properties for public-good producers and nonproducers. First, in antibiotic-containing media, producers grew in a density-dependent manner that was abolished when a synthetic autoinducer was exogenously supplied, indicating that autoinducer production was limiting. Second, when started from the same initial density, pure cultures of nonproducers grew slower than pure cultures of producers in antibiotic However, addition of either synthetic autoinducer or cell-free conditioned medium (containing autoinducer made by producers) increased nonproducer growth in antibiotic-containing media.

33 Experimental data on E. coli populations An autoinducer of antibiotic resistance

34 Simpson’s paradox

35 Playing with yeast

36 Yeast snowdrift game Sucrose degraded by invertase to yield glucose in the periplasmic space Only 1% of glucose captured by the same cell

37 The possible games

38 Both can invade when rare f P c -P d {c=0.02, =0.01}

39 Extinction of cooperators By histidine concentration we can manipulate the cost of cooperation

40 Population structure and relatedness in a bacterial subpopulation Proteins for cooperation secreted or located on the outer membrane Can be on mobile elements

41 Relatedness, transfer and migration Transfer of cooperation genes increases relatedness Spreads cooperating elements

42 External protein genes are highly mobile

43 Robustness in biology Eörs Szathmáry Eötvös University Collegium Budapest

44 A genotype-phenotype model

45 Robustness and adaptation time

46 The explanation

47 Robustness and diversity

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